Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 43 appraisals
International dental journal
Deep Learning Based on Swin-Transformer and 3D U-Net: Implant Three-Dimensional Position Planning
INTRODUCTION AND AIMS: This study aimed to devise a deep learning-based model for the automated identification of anatomical mandibular lingual concavities in the posterior mandible and the prediction of biologically guided three-dimensional implant positions. METHODS: Cone-beam computed tomography (CBCT) images with single-tooth posterior mandibular edentulism were included. A deep learning framework was constructed utilizing 3D U-Net and Swin-Transformer. This framework was designed to perform automated segmentation of teeth, mandible, and the mandibular nerve canal; to classify morphological types of lingual concavities; and to identify implant key points with coordinate prediction. Model performance was assessed via five-fold cross-validation. RESULTS: The proposed model achieved Dice similarity coefficients ranging from 0.87 to 0.91 for dental segmentation. In the classification of mandibular lingual concavities, an accuracy of 0.92 to 0.97 was attained. Regarding the prediction of three-dimensional implant positions, the automatically generated plans maintained a safety margin of 3.20 to 3.89 mm from the mandibular nerve canal. Furthermore, sufficient bone volume was preserved at both cervical and apical implant levels, with buccal/lingual cervical bone widths averaging 4.94 to 5.78 mm. CONCLUSION: The deep learning model in this experiment performed well across different views and learning tasks in a retrospective internal validation setting. Furthermore, it demonstrated the ability to accurately identify relevant anatomical structures, and the predicted three-dimensional implant positions showed clinically acceptable safety margins in the internal validation cohort. CLINICAL RELEVANCE: This model provides a preliminary AI-assisted framework for identifying critical mandibular anatomical structures and generating biologically guided preliminary implant position suggestions, thereby helping to mitigate intraoperative complications and reduce the risk of postoperative mechanical and biological complications in preclinical evaluation.
2 Aug 2026
Read appraisal →Journal of radiation research
A model-based selection of oral cancer patient for passive scattering proton beam therapy
BACKGROUND AND PURPOSE: To identify patients with oral cancer (OC) who benefit from proton therapy versus photon therapy using a model-based approach (MBA) to reduce late adverse events. MATERIAL/METHODS: Passive scattering proton beam therapy (PSPT) and volumetric modulated arc therapy (VMAT) plans were established for 40 patients with OC, consisting of a dose of 70 Gy (relative biological effectiveness) in 35 fractions. At least 95% of the planning target volume received 95% of the prescribed dose, and the dose to the organs at risk was restricted to be as low as possible. Normal tissue complication probability (NTCP) was used to estimate the risk of late adverse events, including dysgeusia, xerostomia and osteoradionecrosis of the mandible. Patients who were considered as candidates for PSPT were selected if the NTCP difference between both plans (ΔNTCP) exceeded the threshold defined in the Dutch national indication protocol. RESULTS: PSPT reduced the doses to the spinal cord, pharynx, oral cavity and contralateral salivary glands compared with VMAT. PSPT was also superior for the risk evaluation of each late adverse event calculated by incorporating dose metrics and patient baseline risk factors. For the MBA using ΔNTCP and the thresholds, PSPT was indicated in 24 of the 40 cases, and the remaining 16 cases were considered to be equivalent to VMAT. CONCLUSION: MBA was used to select OC cases that were candidates for PSPT. Compared with VMAT, the risk of expected late adverse events was significantly reduced with PSPT, and 60% of patients were considered eligible for PSPT.
26 July 2026
Read appraisal →Head and neck pathology
A Deep Learning AI Model for Histopathological Diagnosis and Grading of Mucoepidermoid Carcinoma of Salivary Glands
PURPOSE: This study aims to evaluate the effectiveness of deep learning AI model in the diagnosis and grading of mucoepidermoid carcinoma. METHODS: We developed a multiple instance learning based-deep learning model which consisted of two modules. One to perform slide-level classification of whole slide images into mucoepidermoid carcinoma and non-mucoepidermoid carcinoma classes and the second one to perform grading into low, intermediate, and high grades. A total of 194 whole slide images were included in the study. Of these, 92 corresponded to mucoepidermoid carcinoma, while the remaining 102 represented non-mucoepidermoid carcinoma cases. RESULTS: Our results showed that the classification model achieved 90.62% accuracy, 90.62% macro F1 score, 90.60% weighted F1 score, 91.67% macro precision, 91.18% macro recall. The grading model achieved an accuracy of 73.3%, weighted F1-score of 73.9%, weighted precision of 76.1% and weighted recall of 73.3%. CONCLUSION: The proposed deep learning classification model achieved promising performance in differentiating mucoepidermoid carcinoma cases. However, the grading model achieved an overall accuracy of 73.3%. Thus, depending on AI solely is still questionable, however it can be used to augment the work of the pathologist.
22 July 2026
Read appraisal →Journal of prosthodontic research
Peri-implant soft-tissue responses to tooth-colored abutment materials: A systematic review.
PURPOSE: This systematic review aimed to investigate and compare peri-implant soft-tissue responses to tooth-colored abutment materials frequently used in implant dentistry. STUDY SELECTION: A comprehensive electronic search was performed in three databases (MEDLINE via PubMed, Google Scholar, and Scopus) to identify relevant literature. The study-selection criteria included original research articles written in English that investigated the effects of various tooth-colored abutment materials on peri-implant soft-tissue responses. RESULTS: In total, 136 articles were included in this systematic review. Tooth-colored abutment materials, particularly zirconia and polyetheretherketone (PEEK), facilitated favorable soft-tissue adaptation, enhanced esthetics, and contributed to long-term implant success. Zirconia demonstrated excellent biocompatibility, enhanced cell viability and attachment, and lower inflammatory responses compared to titanium, suggesting improved soft-tissue integration and reduced biofilm-related risks. PEEK exhibited favorable mechanical properties and biocompatibility but limited cell attachment due to its hydrophobicity, indicating the need for surface modification. Titanium remains the clinical standard for integration but is associated with greater inflammation and biofilm formation than tooth-colored materials. CONCLUSIONS: This review highlights the effects of tooth-colored abutment materials on peri-implant soft-tissue responses and emphasizes the importance of selecting appropriate materials for successful dental implants. Zirconia represents a promising biological alternative to titanium, promoting a stable soft-tissue barrier that contributes to minimizing inflammation and maintaining long-term tissue health. Conversely, while PEEK offers strong mechanical properties, it faces challenges regarding cell proliferation and matrix production, limiting its optimal biological performance. Further research will provide deeper insights into the best options for enhancing patient and esthetic outcomes.
14 July 2026
Read appraisal →BMC oral health
Accuracy of virtual facebow compared to conventional facebow: a systematic review
BACKGROUND: Digital technologies are rapidly evolving and have been introduced across many fields in dentistry, particularly prosthetic and restorative dentistry. In digital treatment planning, virtual articulators are helpful in simulating complex maxillomandibular movements and analyzing occlusion. Despite these advancements, evidence-based literature standardizing the transfer of clinical data to virtual environments remains limited. The aim of this review was to explore the accuracy of various methods in transferring maxillary digital models to virtual articulators compared with conventional facebow techniques. METHODS: The research (PICO) question focused on assessing the accuracy of virtual facebow transfer compared to that of conventional facebows. An electronic search was performed in 3 databases between January 2014 to December 2025: PubMed/MEDLINE, Scopus, and Web of Science. Eligibility criteria included in vitro studies, clinical trials, case reports, clinical reports, and clinical techniques that evaluated the accuracy of virtual articulation in fixed prosthodontics for dentate patients, published in English. Studies were excluded if they were not in English, involved orthognathic surgery, focused on edentulous patients, or were published before 2014. A comprehensive search was conducted in December 2025. Two reviewers (PE, HA) independently examined the identified papers in accordance with the predetermined qualifying criteria. For each included study, publication details, study characteristics, and methodological aspects were documented. RESULTS: The total number of articles retrieved was 1,916. Of these articles, 10 met the inclusion criteria and were used for qualitative synthesis. Several techniques were reported for transferring the maxillary model to virtual articulator, such as digital photographs, face scans with or without intraoral or extraoral scan body, smartphone applications, digital photographs using Kois glasses, CBCT, and stereophotogrammetry. Most studies showed comparable accuracy of different digital methods that transfer the maxillary cast to the articulator. However, one study showed that the photography-based method demonstrated superior trueness and precision compared to both facial scanning and the conventional facebow technique. Another study found that the accuracy of positioning a maxillary digital scan relative to a 3D facial scan using a virtual facebow technique is highly dependent on the facial scanning method employed. CONCLUSIONS: Virtual facebow transfer can be recorded using techniques such as digital photographs, face scans, virtual facebow software, and smartphone scanning. Virtual facebow systems demonstrate promising repeatability and clinically acceptable transfer accuracy in selected workflows; however, due to heterogeneity among available studies, definitive conclusions regarding any improvement over conventional techniques cannot yet be drawn. Further standardized in vitro and clinical studies with large sample sizes, standardized assessments, and comparison methods are needed to draw meaningful conclusions in order to prove precedence of one method over the other. However, the use of a device to facilitate the transfer of a virtual maxillary cast to a virtual articulator has been promising.
13 July 2026
Read appraisal →Clinical oral investigations
Predicting occlusal force distribution from intraoral scans using deep learning: a pilot study
OBJECTIVES: This pilot study investigated whether occlusal force distribution measured by T-Scan can be predicted from intraoral scan images using deep learning. METHODS: Paired intraoral scan and T-Scan images from 26 subjects were analyzed. Following quality control, data were randomly partitioned at the subject level into training (n = 18), validation (n = 4), and independent test (n = 4; 8 image pairs) sets. Five deep learning architectures (U-Net, ResNet-UNet, Vision Transformer, CNN-Attention, and Pix2Pix) were trained to predict T-Scan force maps from occlusal scan images. Structural Similarity Index (SSIM) was predefined as the primary endpoint. Nonparametric statistical comparisons (Friedman test with Holm-corrected Wilcoxon post hoc analysis) and bootstrap confidence intervals were used. RESULTS: A significant difference in SSIM was observed among models (χ² = 19.3, p = 0.00069). CNN-Attention achieved the highest structural similarity (mean SSIM 0.501 ± 0.030), significantly outperforming U-Net, Vision Transformer, and ResNet-UNet (adjusted p < 0.05), while not differing significantly from Pix2Pix. Pix2Pix demonstrated the lowest mean absolute error (0.237 ± 0.018), indicating superior pixel-level intensity approximation. Validation curves revealed distinct optimization behaviors, with adversarial training showing late-stage improvements in SSIM. CONCLUSIONS: Deep learning models approximated T-Scan occlusal force maps from intraoral scan images in this pilot dataset. These findings suggest that artificial intelligence may help estimate functional occlusal force distribution from morphological intraoral scan data. Further studies with larger datasets are required to validate clinical applicability. CLINICAL SIGNIFICANCE: Computational prediction of functional occlusal force maps from intraoral scans may represent a future step toward integrating morphological and functional data within digital dentistry workflows; however, larger validation studies are required before clinical application.
7 July 2026
Read appraisal →Dento maxillo facial radiology
JADE: jawbone lesion diagnosis and decision supporting system
OBJECTIVES: To develop and evaluate JADE, a proof-of-concept retrieval-augmented generation (RAG) diagnostic assistive system, designed to enhance large language model (LLM) reasoning for jawbone lesion assessment. This study examined whether RAG improves diagnostic accuracy and stability compared with standalone LLMs and ORAD, a supervised learning-based system. METHODS: JADE was developed as a cloud-based RAG system integrating an expert-curated oral radiology database embedded using text-embedding-3-large and indexed in Qdrant Cloud. Structured clinical inputs were encoded as prioritized vector queries. Hybrid semantic and keyword-based retrieval appended relevant evidence to prompts for differential diagnosis generation across LLM backbones. Performance was evaluated in 25 validation cases and compared with GPT-5, Claude Sonnet 4.5, DeepSeek-R1, Gemini 2.5 Flash, their RAG configurations, and ORAD. Diagnostic accuracy was analyzed using Cochran's Q test, with post-hoc McNemar's tests and Bonferroni correction. Intra-model stability and response time were assessed. RESULTS: RAG-GPT-5 achieved the highest diagnostic accuracy (20/25), followed by RAG-Claude Sonnet 4.5 (18/25), RAG-DeepSeek R1 (17/25), and RAG-Gemini 2.5 Flash (15/25). Standalone models achieved 9-13/25 correct diagnoses, ORAD achieved 17/25. No significant differences were observed among standalone models or RAG-based models and ORAD. A significant improvement was observed for GPT-5 when integrated with RAG (P = .002). RAG configurations showed higher intra-model stability, with RAG-GPT-5 achieving mean stability of 0.90 ± 0.11. Mean response times ranged from 3 to 10 s. CONCLUSIONS: JADE improved diagnostic accuracy and stability compared with standalone LLMs, underscoring value of RAG reasoning in jawbone lesion assessment and marking the first RAG application in dentomaxillofacial radiology.
3 July 2026
Read appraisal →The Journal of prosthetic dentistry
A simulation-based study of 3D printing angle optimization by integrating deep learning and NSGA-III for prosthesis and retainer manufacturing
STATEMENT OF PROBLEM: Current dental 3-dimensional (3D) printing workflows lack automated tools for optimizing build orientations that preserve critical clinical surfaces. Existing slicing software programs often require manual adjustment and may place supports in functional areas. PURPOSE: The purpose of this simulation-based study was to develop and evaluate a computational framework by integrating deep learning and Non-dominated Sorting Genetic Algorithm III (NSGA-III) to optimize build orientations for dental crowns and retainers by minimizing the support area (SA) and printing height (PH). A secondary objective was to assess the effects of angular resolution and mesh simplification on optimization outcomes. MATERIAL AND METHODS: A 3-stage framework was developed using PointNet++ for cast classification, MeshSegNet for feature recognition, and NSGA-III for dual-objective optimization. Mesh simplification was applied to enhance computational efficiency. Twenty-four dental casts were tested in a repeated-measures design at 1, 5, and 10 degrees angular resolutions. Nonparametric statistical analyses were performed using the Friedman test (α=.05) with post hoc Wilcoxon signed-rank tests and Bonferroni correction. RESULTS: Mesh simplified reduced computation time by 87.0% without altering optimal orientation distributions. Reduced angular resolution significantly affected PH and SA outcomes under most conditions (P<.001), except for SA in the PH-optimized group (P=.004). Post hoc analysis confirmed the largest degradation in accuracy between 1 and 10 degrees. Compared with commercially available software programs, the proposed framework consistently avoided the placement of supports on critical surfaces. CONCLUSIONS: The proposed framework provides an automated and efficient approach to optimizing build orientations in dental 3D printing. Although simulation results demonstrated improved optimization performance, further experimental validation is required before clinical application.
2 July 2026
Read appraisal →Biomaterials
Artificial intelligence in biomaterials for oral oncology
Oral cancer and oral potentially malignant disorders (OPMDs) remain a significant challenge in diagnosis and therapy, primarily due to inherent limitations in early detection, targeted treatment, and postoperative rehabilitation. Conventional diagnostic and therapeutic modalities often lack sufficient sensitivity, specificity, and effectiveness in restoring oral function. Biomaterials including nanoparticles, hydrogels, and scaffolds, offer versatile solutions by virtue of their tuneable properties, biocompatibility, and versatility in drug delivery and tissue engineering. However, their clinical translation is limited by the need for personalisation and lingering efficacy concerns. Artificial intelligence (AI) has emerged as a transformative approach to advance the design, optimisation, and application of biomaterials in oral oncology. By integrating machine learning (ML) and data-driven modelling, AI enhances diagnostic accuracy through biosensing and radiomic analysis, guides the rational design of drug carriers and dosing regimens, and facilitates computer-aided scaffold fabrication for maxillofacial reconstruction. This review summarises recent advances at the intersection of AI and biomaterials in the context of oral cancer and OPMDs, highlighting innovations in early detection, targeted therapy, and postoperative repair. It also discusses current barriers, including data quality, model generalizability, and regulatory oversight, and outlines future directions for interdisciplinary research. When properly integrated, AI-enabled biomaterials hold considerable potential to deliver more precise, efficient, and patient-tailored solutions for oral cancer management.
1 July 2026
Read appraisal →Scientific reports
Oral cancer in the era of precision medicine: molecular targets and technological innovations
This topical Collection presents a series of studies that examine molecular mechanisms, diagnostic approaches, and therapeutic strategies relevant to oral cancer. The included investigations explore topics ranging from metastasis-associated pathways and immune evasion to emerging detection technologies such as deep learning-based impedance spectroscopy and volatile organic compound analysis. Together, these studies reflect the growing convergence of molecular oncology, digital diagnostics, and translational clinical research in shaping the future of oral cancer management. This Collection represents an ongoing effort to consolidate current knowledge and guide future research in oral squamous cell carcinoma.
28 June 2026
Read appraisal →Physics in medicine and biology
Interlayer-aware postoperative facial appearance prediction in orthognathic surgery with bio-geometric guidance
Objective.Accurate prediction of postoperative facial appearance is essential for orthognathic surgical planning, yet remains challenging due to the nonlinear biomechanical coupling between bone and soft tissue. While deep learning methods offer a faster alternative to traditional biomechanical simulation, they typically map bony displacements directly to facial surface deformation, overlooking the intervening soft-tissue layers with distinct biomechanical properties through which displacement is progressively transmitted. Moreover, the many-to-one effect of regional bony movements on each soft-tissue point remains insufficiently captured.Approach.We propose a novel network that introduces an interlayer mixture-of-experts mechanism to decouple bone-to-surface deformation propagation into three biomechanically inspired proxy representations at different tissue depth levels. Since the contribution of each depth level varies across individuals and facial regions, a gated routing network adaptively weights each layer's contribution, providing a data-driven approximation of spatially heterogeneous, patient-specific deformation transmission. Additionally, a bio-geometric convolution module captures regional bony influences through elastic-weighted neighborhood aggregation.Main results.Evaluations on 88 orthognathic surgery patients demonstrate that the proposed method achieves a mean whole-face error of 1.39 mm, below the 2 mm clinical threshold, with statistically significant improvements over all baselines (p<0.05) and the highest clinician acceptance rate (94%).Significance.By incorporating bio-geometric priors into a deep learning framework, our approach enables a more physically grounded and interpretable prediction paradigm, supporting efficient and clinically reliable surgical planning.
21 June 2026
Read appraisal →Journal of robotic surgery
Transoral robotic surgery using the da Vinci single-port system: current evidence and clinical indications - a systematic review and meta-analysis
The DaVinci Single-Port (SP) transoral robotic surgery (TORS) platform was developed to overcome spatial constraints and instrument collisions encountered with multiport systems in head and neck surgery. We systematically reviewed and meta-analyzed perioperative performance, safety, functional recovery, and oncologic outcomes of SP TORS. Following PRISMA 2020, we searched PubMed/MEDLINE, Embase, Cochrane Library, Web of Science, and the first 25 pages of Google Scholar through January 1, 2026. Peer-reviewed English-language clinical and cadaveric studies evaluating SP TORS were included. Three reviewers screened studies and extracted data. Random-effects meta-analyses were performed where appropriate. Fourteen studies (2019-2025) including 479 patients met inclusion criteria. Patient-level evidence was concentrated in oncologic cohorts, with additional smaller clinical applications in obstructive sleep apnoea-related tongue-base surgery (37 patients), hypopharyngeal foreign body removal (1 patient), parapharyngeal space surgery (2 patients), and SP-assisted reconstruction (3 patients), as well as preclinical feasibility studies. No study reported intraoperative conversion to multiport or open surgery. Pooled estimates were console time 60.04 min (95% CI 29.56-90.51; I² = 99.1%), docking time 10.13 min (0.47-19.79; I² = 97.9%), operative time 57.72 min (37.23-78.21; I² = 0.0%), length of stay 10.63 days (2.43-18.82; I² = 99.8%), and blood loss 24.16 mL (- 6.95 to 55.27; I² = 86.8%). Bleeding was the most consistently reported surgical complication, with major bleeding requiring operative management reported in larger cohorts but remaining uncommon. Functional recovery suggested early oral intake, although timing was inconsistently reported. Margin status was predominantly R0 in several oncologic cohorts, although one matched cohort reported a lower R0 rate. SP TORS appears feasible across indications, but current evidence is limited by nonrandomized designs, inconsistent long-term reporting, and between-study heterogeneity.
14 June 2026
Read appraisal →The International journal of oral & maxillofacial implants
The Effect of Sinus Elevation and Onlay Grafts on Biologic and Technical Complications of Implants Placed in the Resorbed Posterior Maxilla: A Systematic Review and Analysis of Studies
PURPOSE: To evaluate whether biologic and technical complications differ when sinus elevation is used alone versus when used in combination with onlay grafting prior to implant placement in the severely resorbed posterior maxilla, with particular emphasis on the impact of crown-to-implant ratios (CIRs) on clinical outcomes. MATERIALS AND METHODS: An electronic search from January 2000 to December 2023 was performed in four databases following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines with a focused Population/Problem, Intervention, Comparison, and Outcome (PICO) question. The quality of the reports was established using a modified Cochrane Collaboration tool. RESULTS: Out of 1,199 studies, 20 articles were selected, including 16 articles on sinus augmentation (SA) and 4 articles on both SA and onlay grafts (SAOG). The studies involved 1,245 patients, with 81.8% of patients receiving SA and 18.1% receiving SAOG. Implant survival rates ranged from 80.25% to 100%, with an overall success rate of 91.5% to 100%. Complications included biologic issues (eg, membrane perforation) and mechanical issues (eg, graft loss). The average follow-up period was 60 months. CONCLUSIONS: Limited evidence exists on implant outcomes following SA versus onlay grafting in the atrophied maxilla. Further randomized controlled trials are needed to compare these techniques, emphasizing prosthetically driven augmentation for optimal implant positioning.
14 June 2026
Read appraisal →The International journal of oral & maxillofacial implants
Comparison Between Computer-Assisted and Freehand Dental Implant Placement: A Systematic Review and Meta-analysis
PURPOSE: To compare computer-assisted implant surgery (CAIS) and freehand implant placement (FHIP) in terms of clinical and radiographic outcomes. MATERIALS AND METHODS: This systematic review and meta-analysis included a comprehensive search of five databases (PubMed, Embase, CINAHL, Scopus, and Web of Science), along with handsearching and cross-referencing, which identified randomized controlled trials (RCTs) comparing CAIS and FHIP literature published up to November 2024. Outcomes included marginal bone loss (MBL), implant survival rate, patient satisfaction, pink esthetic scores, probing depth, and complications. The Cochrane risk of bias (RoB) tool and the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach were used to assess study quality and evidence certainty. Meta-analysis and sensitivity/subgroup analyses were also conducted. RESULTS: A total of 12 publications from 9 RCTs (395 participants, 1,242 implants) were included. Although overall differences in MBL and implant survival were not statistically significant, subgroup analyses revealed several significant findings. CAIS demonstrated significantly reduced MBL in fresh socket placements (P = .04), higher patient satisfaction (P = .03), and improved pink esthetic scores (P = .009). FHIP was associated with fewer biologic complications (P = .04) and lower MBL values when compared to tissuesupported CAIS (P = .03). Sensitivity analyses confirmed robustness for most outcomes; however, evidence quality ranged from very low to moderate, and six studies showed a high RoB. CONCLUSIONS: Considering the limitations related to the quality of the included studies, both CAIS and FHIP achieved high survival rates (> 98%). CAIS showed advantages in fresh socket cases and esthetic/patient-reported outcomes, while FHIP had fewer biologic complications and better outcomes when using an open-flap approach.
13 June 2026
Read appraisal →Clinical oral investigations
Changes in the sagittal pharyngeal airway dimension following levelling and alignment in class II division 2 patients: a prospective clinical trial
OBJECTIVES: This study aimed to evaluate changes in the sagittal pharyngeal airway dimensions (SPAD) and the related mandibular position following maxillary levelling and alignment in late adolescent Class II division 2 (Class II/2) patients. MATERIALS AND METHODS: Thirty Class II/2 patients (mean age 14.07 ± 1.21 years) were included. Pre-treatment orthodontic records were acquired, including panoramic and lateral cephalometric x-rays (T0), photographs, and study models, followed by the onset of levelling and alignment in the upper arch. Lateral cephalometric x-rays and photographs were repeated six months later at the termination of this stage (T1), and measurements were performed in comparison to T0. SPAD was assessed at the nasopharyngeal, oropharyngeal, and laryngopharyngeal levels. Mandibular position was evaluated using the Ba-Ar distance, while sagittal and vertical skeletal relationships were assessed using SNA°, SNB°, ANB°, and FMA°. Upper incisor inclination was accounted for using the U1-FH° measurement. RESULTS: Alignment of the maxillary arch in Class II/2 patients elicited a significant SPAD increase at the nasopharyngeal and the oropharyngeal levels (p < 0.001), with a non-significant change evoked at the laryngopharyngeal level (p = 0.42). Antero-posteriorly, a significant increase in the SNAº, SNBº, together with a significant decrease in the ANBº angle have been documented at T1. A significant increase in the Ba-Ar has been noted at T1 in contrast to T0, in addition to a significant reduction in the vertical dimension (FMAº). Dentally, a significant increase in the U1-FHº has been documented following the implemented treatment stage (p < 0.001). CONCLUSIONS: Results of this study may suggest that maxillary levelling and alignment in Class II/2 patients during the decelerating growth phase is associated with augmentation of the nasopharyngeal and oropharyngeal airways. These changes coincide with the significant labial tipping of the maxillary incisors and subsequent functional mandibular advancement, which collectively improve the intermaxillary relationship and reduce the vertical skeletal dimension. While natural growth cannot be entirely excluded, the rapid change suggests that these improvements are closely linked to the functional mandibular response. CLINICAL RELEVANCE: Maxillary alignment in Class II division 2 cases may enhance upper airway patency by triggering a forward functional mandibular response, highlighting a potential link between orthodontic correction and upper airway patency. Name of the Registry: ClinicalTrials.gov Trial Registration Number: NCT06602518 Date of Registration: 19/09/2024 "Retrospectively registered". URL: https://clinicaltrials.gov/study/NCT06602518?cond=nct06602518&rank=1.
7 June 2026
Read appraisal →JMIR research protocols
Virtual Reality for Preoperative Anxiety in Patients Undergoing Odontectomy Under General Anesthesia: Protocol for a Randomized Controlled Trial
BACKGROUND: Odontectomy is a common surgical procedure often associated with significant preoperative anxiety, particularly when performed under general anesthesia. Anxiety can lead to physiological changes, such as increased blood pressure and heart rate, and may affect anesthetic requirements and postoperative recovery. Virtual reality (VR) has emerged as a promising non-pharmacological intervention to reduce anxiety through immersive distraction. OBJECTIVE: This study aims to evaluate the effectiveness of VR in reducing preoperative anxiety in patients undergoing odontectomy under general anesthesia. The study will assess anxiety using both subjective measures (Amsterdam Preoperative Anxiety and Information Scale, APAIS) and objective biomarkers (salivary alpha-amylase, salivary cortisol, and vital signs). METHODS: This is a prospective, randomized controlled trial. Patients aged 17-40 years undergoing odontectomy under general anesthesia at the Dental and Oral Hospital, Universitas Padjadjaran, will be recruited. Participants (n=32) will be randomly assigned to either the intervention group (VR experience of the operating room) or the control group (standard verbal education). Data collection includes salivary samples (alpha-amylase and cortisol), vital signs (blood pressure, heart rate, respiratory rate), and APAIS scores measured at baseline, immediately post-intervention, and 15 minutes post-intervention. Data will be analyzed using independent and paired t tests or Mann-Whitney and Wilcoxon tests, depending on normality. RESULTS: The study is scheduled to be conducted between October 2026 and December 2026. The findings will provide evidence regarding the efficacy of VR as a standard anxiolytic tool in oral surgery. CONCLUSIONS: If effective, VR could serve as a non-invasive, safe alternative to pharmacological premedication for managing preoperative anxiety, potentially improving surgical outcomes and patient comfort.
29 May 2026
Read appraisal →The International journal of prosthodontics
Accuracy of Stereophotogrammetry in Implant Scanning Compared to Intraoral Scanning in Completely Edentulous Patients-A Systematic Review and Meta-analysis
PURPOSE: To evaluate the accuracy of full-arch implant impressions by comparing photogrammetry and intraoral scanning (IOS) techniques through a systematic review and meta-analysis following the Cochrane protocol. MATERIALS AND METHODS: A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science up to May 2024. Keywords based on the PICO question were used without time or language restrictions. In vitro studies assessing full-arch implant rehabilitations that compared photogrammetry to IOS were included. The risk of bias was assessed using the Quin Tool Method. Data were analyzed through metaanalysis in RevMan (Cochrane), grouping the results into three subgroups: angle deviation, precision (μm), and trueness (μm). RESULTS: The search yielded 6,348 studies: 11 met the eligibility criteria, and 7 provided sufficient data for quantitative meta-analysis. Photogrammetry demonstrated superior precision, with a mean difference (MD) of -0.03 (95% CI: -0.04, -0.02) and a high weight of 94.2%, indicating consistent evidence. The results for angle deviation were MD = -0.12 (95% CI: -0.16, -0.08, P < .00001), and for trueness the results were MD = -0.16 (95% CI: -0.19, -0.13, P < .00001). The photogrammetry group also showed favorable results. Although trueness exhibited expressive MD values, it had a lower overall weight (5.8%). CONCLUSIONS: Within the limitations of this study, photogrammetry significantly improves the accuracy of fullarch implant rehabilitations compared to IOS. These findings support the adoption of photogrammetry for more accurate and consistent outcomes in dental implant procedures.
28 May 2026
Read appraisal →Journal of robotic surgery
Oncologic, functional, and economic outcomes of transoral robotic surgery for HPV-associated oropharyngeal squamous cell carcinoma: a systematic review and meta-analysis of pathology and treatment strategies
The incidence of human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC) has increased substantially. Transoral robotic surgery (TORS) provides detailed pathological assessment that may support risk-adapted treatment strategies; however, integrated evidence on oncologic, functional, and economic outcomes remains limited. To systematically evaluate oncologic, functional, and economic outcomes of TORS-based treatment strategies in patients with HPV-positive OPSCC. A systematic review and meta-analysis were conducted in accordance with PRISMA 2020 guidelines. PubMed, Wiley Online Library, MDPI, Cureus, and medRxiv were searched for studies published between 2019 and 2025. Pre-specified subgroup meta-analyses (randomized/clinical trial versus observational studies, and primary versus salvage settings) were performed using random-effects models for overall survival (OS), postoperative bleeding, tracheostomy rate, and long-term gastrostomy dependence. Twenty-two studies (20 clinical and 2 economic) were included, with 14 contributing to quantitative synthesis. The pooled 2-year OS was 94% (95% CI: 0.90-0.98), the 3-year OS was 96% (95% CI: 0.92-0.99), and the 5-year OS was 92% (95% CI: 0.90-0.95). In the salvage setting, the pooled 2-year OS was 76% (95% CI: 0.71-0.80), with no observed statistical heterogeneity, although based on a limited number of studies. Subgroup analyses indicated higher survival estimates in randomized/clinical trial settings compared with observational cohorts. Functional outcomes were generally favorable, with pooled postoperative hemorrhage of 7% (95% CI: 0.04-0.11), tracheostomy rate of 9% (95% CI: 0.03-0.14), and long-term gastrostomy dependence of 2% (95% CI: 0.00-0.03).Across included studies, TORS provided detailed pathological information that may support risk stratification and inform adjuvant treatment decisions; however, the extent of treatment de-escalation varied across studies. TORS appears to be an effective treatment option in selected patients with HPV-positive OPSCC, with generally favorable oncologic and functional outcomes. However, interpretation of these findings is limited by heterogeneity in study design and patient populations. Further prospective studies are required to clarify its role in treatment de-escalation and long-term outcomes.Registration: PROSPERO (CRD420251240194).
22 May 2026
Read appraisal →Lasers in medical science
Comparative clinical effects of extraoral photobiomodulation using laser and LED on pain, swelling, and quality of life following impacted mandibular third molar surgery: a randomized split-mouth trial
This study aimed to compare the clinical effectiveness of extraoral photobiomodulation using laser and light-emitting diode (LED) in reducing postoperative pain, swelling, and improving oral health-related quality of life following impacted mandibular third molar surgery. This randomized, split-mouth clinical trial included 72 patients with bilaterally symmetrical impacted mandibular third molars. Participants were allocated into three groups: low-level laser therapy (LLLT), LED, and LLLT-LED. Each patient received PBM treatment on one side and served as their own control. LLLT (810 nm GaAlAs diode laser) and LED (618 nm OsseoPulse) were applied extraorally on postoperative days 0, 2, and 7. Pain was assessed using a visual analog scale (VAS) at 4h and daily up to day 7. Swelling was measured via standardized facial distances at baseline, day 2, and day 7. Quality of life was evaluated using the OHIP-14 questionnaire preoperatively and on day 7. LED therapy significantly reduced pain at the 4th hour and on postoperative days 3 to 6 (p < 0.05). Regarding postoperative swelling, a significant difference was observed only in the LLLT-LED group, where the LED-treated side showed greater overall swelling reduction from preoperative to postoperative day 7 (p < 0.05). Quality-of-life scores improved in both groups, with more domains showing significant change in the LLLT group (10 vs. 7). LED was more effective for early postoperative pain control and showed greater late-phase swelling reduction in the side-to-side comparison. Quality-of-life scores improved in both groups, with a larger number of significantly improved domains in the LLLT group.
21 May 2026
Read appraisal →Acta cirurgica brasileira
Hemostatic net in cervical and facial surgeries: evidence from a systematic review and meta-analysis
PURPOSE: Hematoma remains the most frequent complication of cervicofacial surgeries. The hemostatic net (HN), a transcutaneous suture designed to minimize dead space and bleeding, has shown promise, but pooled evidence of its safety and efficacy is limited. Thus, we conducted this study to clarify the safety profile and complication rates associated with the use of HN in cervical and facial surgeries. METHODS: A systematic search of MEDLINE, Embase, Scopus, Cochrane, and Web of Science was performed through August 2025. Eligible studies involved adults undergoing cervical and/or facial surgery with HN, with no restrictions on suture caliber or spacing between stitches. The primary outcome was hematoma incidence; secondary outcomes included skin necrosis, seroma, infection, persistent skin marks, patient-reported satisfaction, and other adverse events. RESULTS: Eleven studies including 3,393 patients (2,748 HN; 645 controls) were analyzed. Single-arm meta-analysis of HN cases showed low pooled rates for hematoma (0.6%; 95% confidence interval 0.4-1.0; low certainty), skin necrosis (0.4%; 95% confidence interval 0.1-1.0; low certainty), seroma (1.5%; 95% confidence interval 0.6-4.0; low certainty), infection (0.1%; 95% confidence interval 0.0-25.5), and persistent skin marks (0.6%; 95% confidence interval 0.2-2.1). Comparative analyses showed no significant difference for hematoma (risk ratio = 0.15; 95% confidence interval 0.01-3.20; very low certainty) or seroma (risk ratio = 1.06; 95% confidence interval 0.41-2.75; low certainty). Patient-reported satisfaction data were scarce and nonspecific. CONCLUSION: The HN is a safe technique with very low complication rates, though evidence of superiority over standard surgery remains inconclusive due to limited certainty of meta-analyzed data, heterogeneity of surgical procedures, and the paucity of patient-reported outcomes.
20 May 2026
Read appraisal →Oral and maxillofacial surgery
Early versus delayed management of maxillofacial fractures: a systematic review and meta-analysis with context-based subgroup analysis
PURPOSE: Maxillofacial fractures are common injuries caused by traffic accidents, interpersonal violence, and falls. In resource-limited or remote settings, definitive management is often delayed due to limited diagnostic facilities, lack of surgical expertise, and referral constraints, raising concerns about increased complication rates. The current literature reports conflicting results. Some studies suggest that delayed management does not significantly affect outcomes, whereas others show higher complication rates and functional impairment. Therefore, this review aims to identify the associations between delayed management and complications. METHODS: This review followed PRISMA guidelines and was registered in PROSPERO. Observational studies published between 2005 and 2025 were systematically retrieved from PubMed, Europe PMC, ScienceDirect, and OpenAlex. Thirteen studies met the inclusion criteria, with nine included in the meta-analysis. RESULTS: Pooled analysis demonstrated no statistically significant difference in overall complication rates between delayed and early management (RR 1.07; 95% CI 0.72-1.60; p = 0.72), with no evidence of substantial publication bias. CONCLUSION: Although no significant difference in the occurrence of complications was found between delayed and early management of maxillofacial fractures, there was a tendency for complications such as infection, malunion, or nonunion to occur more frequently in the delayed management group.
19 May 2026
Read appraisal →Oral and maxillofacial surgery
Does adjunctive low-level laser therapy provide additional benefit following temporomandibular joint arthrocentesis with hyaluronic acid? A randomized clinical trial.
PURPOSE: This study aimed to evaluate whether adjunctive low-level laser therapy (LLLT) provides additional clinical benefit over an optimized arthrocentesis protocol with hyaluronic acid in patients with ADDwoR. MATERIALS AND METHODS: From December 2022 to December 2023, a single-blinded prospective randomized clinical trial was conducted at The British University in Egypt's Department of Oral and Maxillofacial Surgery. The study involved 40 female participants diagnosed with Anterior Disc Displacement without Reduction (ADDwoR). Following TMJ arthrocentesis, subjects were assigned to one of two parallel cohorts: Group A received ten subsequent sessions of low-level laser therapy (LLLT), while Group B served as the control, receiving arthrocentesis alone. Treatment efficacy was evaluated based on pain intensity measured via a Visual Analogue Scale (VAS) and maximum mouth opening (MMO). Clinical assessments were performed at 2-week intervals over a 12-week follow-up period. RESULTS: No significant age-related differences were detected when comparing the intervention group to the control group (p = 0.087). No significant intergroup differences were observed in maximum mouth opening (MMO) or pain scores (VAS) at any follow-up time point (p > 0.05). Over the 12-week period, both study arms demonstrated significant clinical enhancement in terms of MMO and pain intensity (p < 0.001). Improvements in MMO were large in both groups, with postoperative values significantly higher than preoperative measurements. Pain scores decreased markedly following treatment, with preoperative scores significantly higher than all postoperative values. Overall, both interventions resulted in significant functional improvement and pain reduction, with no added benefit of the intervention over the control. CONCLUSION: While both TMJ arthrocentesis alone and arthrocentesis supplemented with LLLT significantly improved maximum mouth opening and reduced pain, LLLT did not provide a significant incremental benefit over arthrocentesis with hyaluronic acid. These findings suggest that clinical improvements are primarily driven by the main intervention and may reflect a possible therapeutic ceiling effect, beyond which adjunctive LLLT does not confer measurable short-term benefit. CLINICAL TRIAL NUMBER: Not applicable.
18 May 2026
Read appraisal →Clinical oral investigations
Partially demineralized allogeneic cancellous bone plug versus deproteinized bovine bone mineral for guided bone regeneration: a pilot randomized controlled clinical trial
OBJECTIVES: To compare a partially demineralized allogeneic cancellous bone plug (ACBP) with deproteinized bovine bone mineral (DBBM) for guided bone regeneration (GBR), focusing on CBCT-based dimensional outcomes and histomorphometric tissue composition at implant placement. MATERIALS AND METHODS: In this prospective randomized controlled clinical trial, 25 adults requiring GBR for two common indications-posterior maxillary sinus floor elevation or mandibular posterior extraction socket preservation-were randomized to ACBP (n = 12) or DBBM (n = 13), with collagen membrane coverage in both groups. Radiographic endpoints were indication-specific and were reported separately for sinus and socket sites. CBCT was obtained at baseline and 6 months to assess augmented height (sinus sites) and ridge dimensions at standardized levels (socket sites). At 6 months (implant placement), a 3-mm trephine core was harvested for H&E staining and histomorphometric quantification of vital bone (VB, %) and residual graft material (RG, %). Between-group comparisons used independent-samples t tests (two-sided P < 0.05). RESULTS: All participants completed the 6-month follow-up. VB did not differ significantly between ACBP and DBBM (38.84 ± 8.37% vs. 32.18 ± 11.04%, P = 0.105), whereas RG was significantly lower with ACBP (11.18 ± 5.48% vs. 19.80 ± 8.23%, P = 0.006). CBCT outcomes were comparable between groups, with no significant differences in sinus height gain (7.82 ± 1.52 mm vs. 8.21 ± 4.30 mm, P = 0.852) or socket-related ridge dimensional changes (all P > 0.05). CONCLUSION: Within a 6-month healing interval, ACBP showed CBCT-based dimensional outcomes comparable to DBBM and a lower residual graft fraction with a similar vital bone fraction at implant placement, suggesting that the observed difference was more related to graft turnover than to greater bone formation. CLINICAL RELEVANCE: At routine implant timing (~ 6 months), use of ACBP was associated with a lower residual graft fraction at re-entry while maintaining short-term CBCT-based dimensional stability.
15 May 2026
Read appraisal →International journal of implant dentistry
A randomized controlled pilot trial comparing peri-implant tissue health beneath CAD/CAM-milled PEEK versus cobalt-chromium telescopic crowns for mandibular overdentures
PURPOSE: This pilot randomized clinical trial compared peri-implant tissue health around milled cobalt-chromium (CoCr) versus polyether ether ketone (PEEK) secondary telescopic crowns in implant-retained mandibular overdentures over 12 months. METHODS: Twelve completely edentulous patients received two implants each. After randomization, secondary crowns were fabricated from milled CoCr (n = 6 patients) or PEEK (n = 6 patients). Assessor-blinded outcome assessments such as marginal bone loss (MBL), probing depth (PD), and plaque index (PI) were performed at baseline, 6, 9, and 12 months post-loading. Statistical analysis used the patient as the unit of analysis. RESULTS: No statistically significant inter-group differences were found at any time point. At 12 months, mean MBL was 0.48 ± 0.15 mm for CoCr and 0.45 ± 0.16 mm for PEEK (p = 0.735). PD increased over time within groups but remained comparable between groups (CoCr: 2.58 ± 0.58 mm, PEEK: 2.33 ± 0.41 mm at 12 months; p = 0.411). PI scores also showed no significant inter-group differences (p > 0.05). CONCLUSIONS: Over 12 months, milled PEEK and CoCr secondary telescopic crowns demonstrated comparable peri-implant tissue health. PEEK presents a viable metal-free alternative for this application. These preliminary findings warrant confirmation in larger, long-term studies.
14 May 2026
Read appraisal →Proceedings of the National Academy of Sciences of the United States of America
Deep-learning endomicroscope with large field-of-view and depth-of-field for real-time in vivo imaging of epithelial cancer hallmarks
In vivo microscopy (IVM) has shown great promise to improve early detection of epithelial precancer, but it suffers from fundamental trade-offs that limit the resolution, field-of-view (FOV) and depth-of-field (DOF). Here, we present PrecisionView, a compact, deep learning-enabled endomicroscope that breaks these constraints and achieves 20 mm2 FOV and 500 µm DOF with 4 µm resolution, representing approximately 5× increase in FOV and 8× larger DOF compared to conventional IVM with similar resolution. PrecisionView integrates a deep learning-optimized phase mask and real-time reconstruction, enabling rapid in vivo assessment of two key hallmarks of cancer: epithelial cell nuclear morphology and subsurface microvasculature through fluorescence and reflectance imaging. By imaging the oral cavity of healthy volunteers and cervical specimens with precancerous lesions, PrecisionView generates large-scale (1 to 3 cm2) coregistered maps of cellular and vascular structures, revealing distinct microscopic patterns associated with anatomic structures and precancerous lesions. Our results suggest the potential of this computational endomicroscope to address the unmet need for early cancer detection at the point of care.
13 May 2026
Read appraisal →JMIR medical informatics
Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study
BACKGROUND: The accurate classification of operative notes is essential for surgical outcomes research; however, CPT code classification is notoriously nonspecific for many procedures. In such situations, the operative note (or "dictation") must be reviewed manually, a process that is labor-intensive and unsustainable. Natural language processing demonstrates tremendous potential for improving the efficiency and accuracy of procedure classification from unstructured operative notes. To date, it remains unexplored whether natural language processing can reliably differentiate between complex, multicomponent procedures, such as those involved in the care of cleft lip or palate and craniofacial anomalies. OBJECTIVE: This study aims to develop and evaluate a machine learning framework for the automated classification of operative notes for cleft and craniofacial procedures. METHODS: This single-institution, retrospective observational study used operative notes from patients undergoing cleft and craniofacial procedures at a single academic medical center from 2016 to 2024. Each note in the database had been manually classified previously. Notes were preprocessed and vectorized using term frequency-inverse document frequency. A One-vs-Rest classification framework with random forest as the base classifier was developed to categorize procedures at 3 levels: primary procedure type (cleft lip repair, alveolar bone grafting, cleft palate repair, velopharyngeal insufficiency correction, rhinoplasty, and other), procedural subtype (primary vs revision), and specific surgical technique used (eg, Fisher, Mulliken, or rotation-advancement technique for cleft lip repair). Each hierarchical level was developed and evaluated using cross-validation. To improve procedural subtype classification for classes with few samples, synthetic notes were added to the dataset. Area under the receiver operating characteristic curve (AUC), an area under the precision-recall curve, micro- and macro-averaged F1-scores, and Hamming loss were used to assess model performance. RESULTS: The dataset comprised 630 operative notes from 311 pediatric patients undergoing cleft and craniofacial procedures between 2016 and 2024, with a mean age of 3.75 (range 0-19) years. The primary classification model achieved strong performance in distinguishing procedure types with an AUC of 0.93 (SD 0.04), area under the precision-recall curve of 0.84 (SD 0.05), micro-averaged F1-score of 0.88 (SD 0.02), a macro-averaged F1-score of 0.84 (SD 0.03), and a Hamming loss of 0.04 (SD 0.01). Secondary classifiers achieved AUC scores of 1.0 (SD 0.00) for cleft lip revision classification but failed to discriminate between alveolar bone grafting primary and revision procedures (AUC 0.49, SD 0.02). Tertiary classifiers for surgical technique identification showed AUC scores of 0.88 (SD 0.03), 0.89 (SD 0.03), and 0.89 (SD 0.09) for cleft lip, cleft palate, and velopharyngeal insufficiency repair techniques, respectively. CONCLUSIONS: This pilot study demonstrates that machine learning approaches can automate the classification of pediatric craniofacial operative notes across multiple levels of procedural detail. The implementation of such systems could significantly reduce the administrative burden related to surgical research, operations, and quality improvement.
13 May 2026
Read appraisal →Clinical oral investigations
Comparison of W. Arnett's cephalometric analysis measurements performed using artificial intelligence and manual measurements.
OBJECTIVES: This study aimed to compare the linear and angular Arnett cephalometric measurements obtained from WebCeph Premium™ with those from manual cephalometric analysis and to assess the reliability of the automated measurements. METHODS: Thirty-two pre-treatment lateral cephalograms of patients were randomly selected. Images were calibrated, 29 landmarks were manually traced, and 40 parameters were recorded by two orthodontists (6 angular, 34 linear). WebCeph Premium™ (version 2.0.0, AssembleCircle Corp., Gyeonggi-do, Republic of Korea) automatically identified landmarks and performed Arnett's cephalometric analysis. After 15 days, orthodontists reassessed the radiographs. Reliability and repeatability were evaluated using the intraclass correlation coefficient (ICC), which exceeded 0.95, indicating excellent agreement. Normality was assessed using the Shapiro-Wilk test, and group comparisons were performed with paired t-tests. RESULTS: For Researcher 1, initial ICC values ranged from 0.003 to 0.984 and final values from 0.617 to 0.996. For Researcher 2, initial ICC values ranged from 0.022 to 0.999 and final values from 0.601 to 0.999. Inter-observer ICC values ranged from 0.03 to 0.984, with most measurements showing high agreement. Manual tracing and WebCeph Premium™ showed high agreement, with ICC values ranging 0.913 and 0.995. CONCLUSIONS: WebCeph Premium™ demonstrates high concordance with manual Arnett analyses; however, further refinement of certain parameters is necessary to enhance AI precision. CLINICAL RELEVANCE: The utilization of WebCeph Premium™ within clinical settings has the capacity to enhance the efficiency of cephalometric analysis for orthognathic cases by minimizing manual workload and inter-examiner variability. This can result in more consistent and efficient treatment planning.
13 May 2026
Read appraisal →Medical science monitor : international medical journal of experimental and clinical research
Preliminary Evaluation of Large Language Models in Kennedy Classification and Removable Partial Denture Planning: An In Silico Study
BACKGROUND This study evaluated text-based large language models for Kennedy classification and removable partial denture planning in partially edentulous cases, where comparative evidence on accuracy remains limited. MATERIAL AND METHODS Twenty-six partially edentulous cases, defined according to the Federation Dentaire Internationale tooth numbering system and classified as Kennedy Classes I to IV, were included. Case scenarios were constructed by an experienced prosthodontist. Questions were independently submitted to 4 large language models without prior training or prompting: ChatGPT-5.2, Claude Sonnet 4.6, Gemini 3 Flash, and Perplexity. Responses were evaluated by 2 independent prosthodontists (different from the case developer) - blinded to the identity of each model - using predefined criteria for Kennedy classification accuracy and prosthetic planning consistency. Statistical analyses included intergroup comparisons and effect size estimation. RESULTS Statistically significant differences were identified among the models in both tasks (P<0.001). For Kennedy classification, the effect size was moderate (Kendall's W=0.402). Gemini 3 Flash achieved the highest mean score, followed by ChatGPT-5.2, Perplexity, and Claude Sonnet 4.6. Similarly, significant differences were observed in removable partial denture planning performance (Kendall's W=0.424); Gemini 3 Flash scored significantly higher than the other models (P≤0.001). CONCLUSIONS Large language models showed variable performance under zero-shot conditions. Although Gemini 3 Flash achieved higher scores, the moderate effect sizes warrant cautious interpretation. These models may serve as adjunctive decision-support tools in prosthodontics but cannot replace clinical judgment.
12 May 2026
Read appraisal →Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Impact of novel systemic cancer therapies on osseointegration and dental implant outcomes: a systematic review
PURPOSE: Advances in systemic cancer therapies such as immune checkpoint inhibitors (ICIs), tyrosine kinase inhibitors (TKIs), and anti-angiogenic agents have markedly improved survival in patients with solid and hematologic malignancies. As survivorship increases, oral rehabilitation with dental implants is increasingly sought to restore quality of life. However, these therapies may adversely affect bone healing, angiogenesis, and immune regulation, raising concerns regarding implant-related complications. This systematic review aimed to evaluate reported dental implant outcomes and complications in patients receiving novel systemic cancer therapies, emphasizing the implications for supportive oncology. METHODS: This review was conducted according to PRISMA 2020 guidelines and registered in PROSPERO (CRD420251142681). PubMed/MEDLINE, Scopus, ScienceDirect, and the Cochrane Library were searched for English-language clinical reports describing dental implant outcomes in patients treated with ICIs, TKIs, or anti-angiogenic agents. Study selection, data extraction, and quality appraisal using the Joanna Briggs Institute checklist for case reports were performed independently by two reviewers. RESULTS: Seven case reports (2017-2024) were included, representing Level IV evidence. Two cases involving TKIs reported successful osseointegration and long-term survival. In contrast, five cases described adverse outcomes including early failure and MRONJ predominantly associated with anti-angiogenic agents, either alone or in combination with ICIs and antiresorptive agents. These complications often resulted in significant functional morbidity and the need for invasive surgical intervention. CONCLUSION: Based on limited case report evidence, anti-angiogenic therapies were more frequently observed in cases with adverse outcomes, including implant-related MRONJ and failure, while TKIs were associated with favorable outcomes in limited cases. The role of ICIs remains unclear due to sparse data, particularly regarding monotherapy effects. Given the preliminary nature of current evidence derived from case reports, prospective studies with appropriate control groups are urgently needed to establish evidence-based guidelines. PROSPERO NUMBER AND DATE OF REGISTRATION: CRD420251142681; 08/09/2025.
12 May 2026
Read appraisal →Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
Machine learning-powered decoding of facial complexity: a diamond-and-triangle geometry for frontal facial analysis
Facial configuration is far more complicated and variable than the representations offered by a couple of conventionally used mathematic laws, necessitating development of a comprehensive and interracially comparable system for frontal facial analysis. In this study, based on morphological analysis of 33 Caucasian and 33 Asian female faces with high perceived facial attractiveness (i.e. facial esthetic appeal in frontal views), validated by independent layperson ratings, in contrast with 'ordinary' faces of 67 Caucasian and 67 Asian females, a machine learning-powered model, building on a diamond-and-triangle geometric framework, was constructed to decode the esthetic-determining facial traits and quantify the probability of a face conforming to the generally accepted attractiveness. The SVM models demonstrated excellent efficacy in this task, based on the input of 21 facial proportion indices derived from the diamond-and-triangle geometry. By interpreting the contribution of input features to each model's diagnosis, the Asian and Caucasian faces shared prioritization of proportional coordination of facial height with mid-facial width and outer canthal distance in determining facial harmony, and exhibited ethnicity-specific variations in hierarchical importance of other proportion indices. The highly coordinated diamond-and-triangle geometric framework distinguished the attractive faces from the ordinary, with cross-ethnic similarities between Caucasian and Asian females. The machine learning-powered model, integrated with the diamond-and-triangle geometry, provides references for cross-ethnic facial analysis and customized treatment planning.
4 May 2026
Read appraisal →Medical science monitor : international medical journal of experimental and clinical research
Systematic Review of Case Reports and Case Series Published Between 2015 and 2025 on the Use of Biomaterials for Closure of Oroantral Fistula
Oroantral fistulas (OAFs) challenge the clinical decision-making of oral surgeons, requiring selection of an effective biomaterial for successful closure. This systematic review aims to evaluate recent biomaterials and techniques for closing oroantral fistulas, as reported in case reports and series. The goal of this review was to assess how different biomaterials affect the clinical closure of OAFs and oroantral communication. This systematic review followed PRISMA guidelines. Multiple scientific databases (Scopus, Web of Science, Cochrane Library) were comprehensively searched using relevant MeSH terms and Boolean operators. Inclusion criteria were case series, reports, and presentations using biomaterials for OAF closure published between 2015 and 2025, with visibly defined outcomes. Reviews, animal studies, and case series and reports without biomaterial use were excluded. Two independent reviewers performed title/abstract and full-text screening. Data extraction included patient demographics, OAF characteristics, biomaterials used, and outcomes. Narrative synthesis was performed after assessing quality using the Joanna Briggs Institute tool. The final assessment of 189 records yielded 18 eligible studies, having patients (age range 20-77 years) with varied etiologies, such as infections and extraction, OAF dimensions, and follow-up periods (9 days to 13 months). Commonly used biomaterials included platelet-rich fibrin (PRF), advanced PRF, collagen membranes, and other grafts. Patient outcomes showed consistent OAF closure, symptom relief, and uneventful healing. Studies represented 12 countries. Variability in reporting OAF characteristics was noted. Diverse biomaterials are effective for OAF closure, with frequent use of PRF and advanced PRF. Consistent reporting of OAF characteristics is essential for future research and improved comparability.
17 Apr 2026
Read appraisal →Journal of prosthodontic research
AI-driven innovations for dental implant treatment planning: A systematic review
PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models in dental implant treatment planning, focusing on: 1) identification, detection, and segmentation of anatomical structures; 2) technical assistance during treatment planning; and 3) additional relevant applications. STUDY SELECTION: A literature search of PubMed/MEDLINE, Scopus, and Web of Science was conducted for studies published in English until July 31, 2024. The included studies explored AI applications in implant treatment planning, excluding expert opinions, guidelines, and protocols. Three reviewers independently assessed study quality using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Quasi-Experimental Studies, resolving disagreements by consensus. RESULTS: Of the 28 included studies, four were high, four were medium, and 20 were low quality according to the JBI scale. Eighteen studies on anatomical segmentation have demonstrated AI models with accuracy rates ranging from 66.4% to 99.1%. Eight studies examined AI's role in technical assistance for surgical planning, demonstrating its potential in predicting jawbone mineral density, optimizing drilling protocols, and classifying plans for maxillary sinus augmentation. One study indicated a learning curve for AI in implant planning, recommending at least 50 images for over 70% predictive accuracy. Another study reported 83% accuracy in localizing stent markers for implant sites, suggesting additional imaging planes to address a 17% miss rate and 2.8% false positives. CONCLUSIONS: AI models exhibit potential for automating dental implant planning with high accuracy in anatomical segmentation and insightful technical assistance. However, further well-designed studies with standardized evaluation parameters are required for pragmatic integration into clinical settings.
13 Apr 2026
Read appraisal →Journal of prosthodontic research
Short- and long-term effects of mandibular advancement device therapy for obstructive sleep apnea on temporomandibular disorders: A systematic review and meta-analysis
PURPOSE: This systematic review and meta-analysis investigated the effects of mandibular advancement device (MAD) therapy on temporomandibular disorders (TMDs) in patients with obstructive sleep apnea (OSA). STUDY SELECTION: We included 14 clinical studies assessing the signs and symptoms of TMDs in patients with OSA treated with MAD therapy. The analysis was divided into short-term (<6 months) and long-term (≥1 year) follow-up phases. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for each study during follow-up. The certainty of the evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology, and meta-analysis was conducted using Review Manager version 5.4. RESULTS: Across the 14 studies included, the average follow-up period was 18.4 months, and the overall certainty of the evidence was rated as very low. Four studies used the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD), six used the Helkimo Anamnestic Index, and four employed questionnaires. In short-term follow-up, a significant increase in pain-related TMDs was observed, including pain in the temporomandibular joint (TMJ) or masticatory muscles (pain-related TMDs: OR:4.49; 95%CI: 1.46 to 13.81, TMJ or masticatory muscles pain: OR:2.90; 95%CI: 1.26 to 6.71). Conversely, during long-term follow-up, the odds of pain in the TMJ or masticatory muscles were significantly reduced (OR:0.21; 95%CI, 0.05 0.89)Conclusions: MAD therapy for OSA did not cause long-term adverse effects on the TMJ or masticatory muscles. However, its short-term use may result in pain-related TMDs, highlighting the need to monitor and manage these symptoms during this period.
13 Apr 2026
Read appraisal →The Journal of oral implantology
Particulate Bone Grafts vs Split Bone Cortical Plates: Resorbable and Nonresorbable Membranes in Vertical Augmentation
This study aimed to evaluate vertical bone gain in the anterior edentulous mandible using the split cortical bone plate technique with 2 different graft and membrane combinations: autogenous particulate grafts with titanium-reinforced polytetrafluoroethylene membrane (T1) and a mixture of autogenous and xenograft particulate grafts with a collagen membrane (Bio-Gide) (T2). Twenty-two patients presenting with severe vertical alveolar ridge atrophy were randomly allocated into 2 equal groups with 11 participants in each group. Cone beam computerized tomography was used to assess vertical bone gain and crestal bone loss at 6 months, 1 year, and 5 years postgrafting. Keratinized tissue width and peri-implant probing depth were also measured at the same intervals to evaluate long-term soft tissue stability and peri-implant health. Whereas both groups demonstrated comparable vertical bone gain, the T1 group exhibited better maintenance of keratinized gingiva. It reduced crestal bone loss over time, suggesting the clinical utility of nonresorbable membranes in enhancing soft and hard tissue outcomes in complex augmentation cases.
8 Apr 2026
Read appraisal →The International journal of oral & maxillofacial implants
Bone Marrow Aspirate Concentrate and Xenograft Versus Autograft and Xenograft in the 3D Reconstruction of Atrophic Maxillary Ridges: A Split-Mouth Randomized Controlled Trial
PURPOSE: To evaluate bone quality and quantity after 3D augmentation of vertically and horizontally atrophied maxillary ridges and compare the use of bone marrow aspirate concentrate (BMAC) and xenograft versus autograft and xenograft, both using prebent titanium (Ti) mesh over a virtually augmented model. MATERIALS AND METHODS: Ten fully edentulous patients with severe maxillary vertical and horizontal bone loss were recruited. Virtual horizontal and vertical bone augmentation was performed for the deficient ridge to produce virtually augmented models for prebent Ti meshes preoperatively. Each patient was rehabilitated with BMAC and xenograft on one side of their mouth (test side) and with autograft and xenograft on the other (control side). For the test side, the mesh was loaded with a mix of xenograft and BMAC from the anterior iliac crest. For the control side, the mesh was loaded with a 1:1 ratio of xenograft to autograft mix. The meshes on both sides were fixed in place using miniscrews. RESULTS: CBCT scans were performed 6 months postoperatively for all patients. The test side showed a mean vertical bone gain of 3.47 ± 0.87 mm, which was comparable to that of the control side (4.10 ± 0.67 mm). The test side also showed a mean horizontal bone gain of 3.476 ± 0.59 mm, which was higher than that of the control side (2.918 ± 0.80 mm). While the mean resorption rate in the test side (106.2 ± 108.6 mm) was lower than the mean value in the control side (193.3 ± 107.9 mm), the differences in bone gain were not statistically significant. However, a statistically significant higher bone area percentage (47.9%) as well as a higher percentage of mature bone (67.7%) were detected in the test side compared to the control side (28.5% and 26.5%, respectively). CONCLUSIONS: 3D alveolar reconstruction using prebent Ti meshes loaded with xenograft mixed with BMAC could be a reliable and less complicated technique for vertically and horizontally atrophied maxillary ridges.
5 Apr 2026
Read appraisal →The International journal of oral & maxillofacial implants
Novel Double Expansion Technique (Khalifah's Technique) Versus Ridge Splitting in Immediate Implant Placement in Narrow Ridges: A Randomized Clinical Trial
PURPOSE: To present and compare the novel double expansion technique (DET) (Khalifah's technique) and the ridge splitting technique (RST) in cases of narrow ridges. MATERIALS AND METHODS: A total of 40 patients (57 dental implants [DIs]) with narrow ridges were randomly allocated to a control group, which employed the RST, and to a study group, which employed the DET. Secondary stability, marginal bone loss (MBL), keratinized mucosa width (KMW), Plaque Index (PI), bleeding index (BI), and probing depth (PD) were assessed at baseline (time of definitive abutment and temporary crown placement) and then at 3, 6, and 12 months. Pain and the number of analgesic tablets consumed were assessed daily during the first postoperative week. RESULTS: The study group had lower pain levels during the first 2 days postoperatively and presented with greater primary and secondary stability at baseline and at 3 months. Moreover, patients in that group had less MBL at all time points and greater KMW at 6 and 12 months postoperatively. Otherwise, both groups showed comparable results regarding PI, BI, and BD. CONCLUSIONS: The study group had superior performance, which may be attributed to the lower degree of trauma with the DET.
5 Apr 2026
Read appraisal →The International journal of oral & maxillofacial implants
Histologic and Immunohistochemical Analysis of Peri-implant Tissue Regeneration at the Interface of Prosthetic Abutments Treated with Anodizing: A Prospective, Randomized Controlled Clinical Trial on the Early Postoperative Period
PURPOSE: To assess the effects of anodized prosthetic abutments versus machined abutments on peri-implant connective tissue. MATERIALS AND METHODS: Following dental implant placement and osseointegration, custom healing abutments with machined surfaces (G1) and anodized surface treatment (G2) were attached to 28 dental implants. After a soft tissue healing period of approximately 30 days (± 7 days), 5-mm circular biopsy samples were taken from the peri-implant tissue and the area adjacent to the prosthetic abutment. Histologic analysis was conducted on the stained specimens using hematoxylin-eosin (H&E), focusing on parameters such as vascular proliferation as well as the presence of polymorphonuclear and mononuclear cells, collagen fibrils, and reepithelialization. A grading scale from 0 to 3 evaluated the extent of the inflammatory response. Masson's trichrome staining was used to analyze collagen fiber presence and organization, while immunohistochemical staining assessed the expression of beta-catenin (β-catenin) and Cluster of Differentiation 34 (CD34). The prosthetic abutments were evaluated through scanning electron microscopy and 3D roughness analysis. RESULTS: Histologic findings revealed that peri-implant tissue adjacent to anodized surfaces exhibited epithelial stratification and a parakeratin layer in the lamina propria. Both groups displayed a typical mononuclear lymphocytic inflammatory infiltrate, but the intensity was significantly higher adjacent to the machined abutment (P < .05). Quantification of blood vessels indicated increased immunopositivity for CD34 in G2 compared to G1 (P < .05). Immunolabeling of β-catenin was detected in the epithelial tissue, showing weak intensity in G1 and strong intensity in G2. The average surface roughness measurements were determined to be 0.097 ± 0.006 μm for G1 and 0.182 ± 0.008 μm for G2. CONCLUSIONS: Anodized surfaces are a promising treatment option and exhibit beneficial effects on peri-implant tissue healing. They play an important role in preserving the epithelial mucosal integrity and functionality near the prosthetic abutment, thereby potentially minimizing the risks of mucositis, peri-implantitis, and implant failure.
5 Apr 2026
Read appraisal →AJNR. American journal of neuroradiology
Temporomandibular Joint Lesions with Intracranial Extension: Illustrative Cases from a Systematic Review of the Literature and Our Institution
BACKGROUND: Intracranially extending temporomandibular joint (TMJ) lesions may be radiologically misinterpreted as primary intracranial or skull base pathologies, leading to diagnostic delays or inappropriate management. PURPOSE: This systematic review aimed to characterize the clinical and imaging features of such TMJ lesions and evaluate the impact of radiologic misclassification. We also aimed to develop a diagnostic framework for when to consider an intracranially extending TMJ lesion, based on clinical and radiologic features. DATA SOURCES: A comprehensive search of MEDLINE, Scopus, and EMBASE, conducted in accordance with PRISMA guidelines, yielded 2255 records. STUDY SELECTION: After screening with predetermined inclusion and exclusion criteria, 128 studies involving 152 patients were included in the final analysis. DATA ANALYSIS: Statistical analyses were performed using STATA software. We also identified 3 patient cases through our institutional neuroradiology practice who were clinically and radiologically assessed for intracranially extending TMJ lesions. DATA SYNTHESIS: Patients had symptoms for an average of 34 months before diagnosis (47% women, mean age 50 years). The most common pathologies were pigmented villonodular synovitis/tenosynovial giant-cell tumor (43%) and synovial chondromatosis (24%). Neurologic symptoms were reported in 48% of cases, most frequently hearing loss (70%). Nearly one-third (33%) of cases with an imaging differential did not list a TMJ pathology (18/55). In cases with accurate imaging diagnosis, 90% had both CT and MRI performed. Most lesions were nonenhancing (CT 83%, MRI 75%) and demonstrated no adjacent brain edema (96%). In 2 cases, a TMJ ganglion cyst and pseudogout were misdiagnosed as intracranial tumors, resulting in unnecessary intervention, including repeat craniotomy and radiotherapy. LIMITATIONS: There were inherent biases of case report literature, including variability in the reporting of the imaging and clinical features, management, and follow-up. CONCLUSIONS: TMJ lesions with intracranial extension often present with nonspecific symptoms and can mimic extra-axial tumors, leading to misdiagnosis on imaging. Recognition of hallmark imaging features, including lack of parenchymal invasion and distinct imaging patterns, may help improve radiologic accuracy and prevent overtreatment. We propose a diagnostic framework outlining when to suspect intracranially extending TMJ lesions based on clinical and imaging features, and how to avoid common diagnostic pitfalls.
4 Apr 2026
Read appraisal →The International journal of oral & maxillofacial implants
Dimensional Changes of the Alveolar Ridge After Tooth Extraction Using the Socket Shield Technique Without Immediate Implant Placement: A Randomized Controlled Study
PURPOSE: To compare radiographic dimensional changes in postextraction sites treated with spontaneous healing versus the modified socket shield technique (mSST) without immediate placement using CBCT scans. MATERIALS AND METHODS: This randomized clinical study included 80 patients with a single maxillary anterior tooth that was not restorable. Patients were divided into two equal groups: (1) the test group, which used the mSST, and (2) the control group, which used the atraumatic extraction technique with spontaneous healing. CBCT scans were performed at baseline (before or immediately after extraction) and 6 months postsurgery. Measurements included alveolar ridge width at 1-mm, 3-mm, and 5-mm levels and buccal and palatal bone plate heights. Following this, implants were placed, and their primary stability was assessed. The main intervention was the use of the mSST compared to the atraumatic tooth extraction technique. The primary outcome was the change in buccal bone plate height over a 6-month follow-up period. In addition, covariates included patient age and sex. Paired t tests and independent t tests were used to evaluate intra- and intergroup differences, respectively. Statistical significance was set at P < .05. RESULTS: In the test group, a significant reduction in palatal wall height was observed (P < .001), while no significant changes were noted in other parameters (P ≥ .05). In the control group, significant decreases were observed in buccal and palatal plate heights as well as ridge width (P < .05). When comparing the groups, the test group demonstrated significantly less buccal wall height and ridge width resorption than the control group (P < .05). However, no significant difference was observed in palatal plate height resorption between the two groups (P = .507). The test group exhibited significantly higher primary stability rates compared to the control group (P = .001). CONCLUSIONS: The mSST with delayed implant placement demonstrated superior maintenance of buccal bone plate height and ridge width, along with significantly greater primary implant stability, compared to spontaneously healed sockets. This approach is beneficial for maintaining ridge integrity when immediate implant placement is not planned.
4 Apr 2026
Read appraisal →The International journal of oral & maxillofacial implants
Accuracy and Reliability of Artificial Intelligence Chatbots as Public Information Sources in Implant Dentistry
PURPOSE: To evaluate the accuracy, completeness, comprehensibility, and reliability of widely available artificial intelligence (AI) chatbots when addressing clinically significant queries pertaining to implant dentistry. MATERIALS AND METHODS: A total of 20 questions were devised based on a compiled list that were most frequently asked or encountered during patient consultations by three experienced prosthodontists. These questions were asked to ChatGPT-3.5, Gemini, and Copilot AI chatbots on three separate occasions in 12-day intervals. A three-point Likert scale (0 = incorrect; 1 = incomplete or partially correct; 2 = correct) and a two-point scale (true and false) were employed by the authors to grade the accuracy of the responses independently. Completeness and comprehensibility were also evaluated using a three-point Likert scale (scored 1, 2, or 3, with lower scores indicating a worse result). In addition to the questions generated by the specialists, AI chatbots were asked to provide five frequently asked questions and responses regarding dental implant prostheses. A comparison of total scores obtained from the chatbots was made with one-way analysis of variance (ANOVA). Twopoint scale data were analyzed via chi-square test. The reliability of the responses for each chatbot was analyzed by assessing the consistency of repeated responses via calculating Cronbach's alpha (α) coefficients. RESULTS: When the total accuracy scores of the chatbots were analyzed out of a 40-point total score (ChatGPT-3.5 = 28.78 ± 4.06; Gemini = 30.89 ± 4.08; Copilot = 29.11 ± 3.22), one-way ANOVA revealed no statistically significant differences (P = .461). For the evaluation of two-point accuracy scale data, which were analyzed via chi-square test, no statistical differences were revealed among the chatbots (P = .336). Gemini showed a higher completeness level than ChatGPT-3.5 (P = .011). There was no statistically significant difference among AI chatbots in terms of comprehensibility. Copilot demonstrated the greatest overall consistency among the three chatbots, with a Cronbach's α value of .863. This was followed by ChatGPT-3.5 with a Cronbach's α value of .779 and Gemini with a Cronbach's α value of .636. CONCLUSIONS: The accuracy of all three chatbots were found to be similar. All three chatbots demonstrated an acceptable level of consistency. However, given the low accuracy rate of chatbots in answering questions, it is clear that they should not be relied upon as a decision-maker, and the clinician's opinion must be given priority.
4 Apr 2026
Read appraisal →Quintessence international (Berlin, Germany : 1985)
Intentional partial odontectomy and effect on inferior alveolar nerve injuries: a systematic review
OBJECTIVES: To synthesize current evidence comparing coronectomy (intentional partial odontectomy) and complete extraction of mandibular third molars in close radiographic proximity to the inferior alveolar nerve, focusing on neurosensory complications and other clinically relevant postoperative outcomes. DATA SOURCES: PubMed, Scopus, and Google Scholar databases were manually searched using strings combining terms such as 'coronectomy,' 'partial odontectomy,' 'root retention,' 'mandibular third molar,' 'extraction,' and 'inferior alveolar nerve injury.' Searches were conducted in accordance with PRISMA 2020 guidelines. CONCLUSION: Coronectomy significantly reduces the risk of inferior alveolar nerve injury in mandibular third molar surgery compared to extraction in cases with inferior alveolar nerve proximity. The main drawback to this technique is subsequent root migration, which is common but rarely clinically problematic. Careful patient selection and follow-up are essential in selecting this procedure.
4 Apr 2026
Read appraisal →Quintessence international (Berlin, Germany : 1985)
The association between concurrent oral cancer and periodontal disease: a systematic review and meta-analysis
OBJECTIVE: Since emerging studies have reported a positive association on oral cancer and periodontal disease, the present study aimed to evaluate the odds ratio of having concurrent oral cancer in patients with periodontal disease. METHOD AND MATERIALS: A systematic review following the PRISMA guidelines was conducted with three electronic databases. The inclusion criteria were structured according to the PECOS framework: (P) Human subjects aged over 18; (E) Patients with periodontal disease; (C) Individuals without periodontal disease; (O) The odds of patients developing oral and/or head and neck cancers; (S) Case-control studies. After screening, 18 clinical studies from 13 different regions, comprising a total of 31,504 participants, were included. RESULTS: A meta-analysis was performed and revealed that the odds ratio for developing oral cancer in patients with periodontal disease, compared to those without, was 3.35 (95% CI 2.63-4.26; P .001). After adjusting for potential confounding factors, the adjusted odds ratio was found to be 2.32 (95% CI 1.71-3.15; P .001). Case definition also has an impact, with odds ratio of 2.02 if using missing teeth compared to odds ratio of 2.68 by using American Academy of Periodontology clinical periodontal parameters. CONCLUSION: Clinical considerations for this specific group of patients should draw new attention for a strategic interdisciplinary care.
4 Apr 2026
Read appraisal →Dental clinics of North America
Artificial Intelligence in Diagnostic Oral and Maxillofacial Imaging, Surgical Applications, and Teledentistry
The article deals with the utilization of artificial intelligence (AI) and related technologies for the diagnosis of oral and maxillofacial anatomic variants and pathologic entities. The diagnosis of dental caries and periodontal disease is the most common aspect of dental diagnosis in a general dental setting and so, there was a subsection for this topic. There are dedicated portions within this article on applications of AI for oral and maxillofacial surgery.
4 Apr 2026
Read appraisal →