GLIOMAID Trial: AI-Driven MRI Analysis Targets Non-Invasive Glioma Detection and Classification Across Italian Neurosurgery Centres
247 Health News Editorial
·16 July 2026
·5 min read
·clinical-trialsThe GLIOMAID study (NCT07703761), led by the University of Trento, is building Italy's first dedicated glioma imaging database of 700 patients to train and validate AI models capable of detecting, segmenting, and characterising brain tumours from MRI alone — without invasive biopsy. With high-grade glioma survival rates remaining stubbornly poor despite decades of research, validated non-invasive diagnostic tools could meaningfully accelerate treatment decisions and reduce procedural risk for patients.
Originally reported by ClinicalTrials.gov
References
- 1.Università degli Studi di Trento. (2025). AI-driven processing and analysis of glioma imaging data EUCAIM database contribution by the Italian Brain Glioma Initiative (GLIOMAID) [NCT07703761]. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07703761
- 2.Ostrom, Q. T., Price, M., Neff, C., Cioffi, G., Waite, K. A., Kruchko, C., & Barnholtz-Sloan, J. S. (2022). CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2015–2019. Neuro-Oncology, 24(Suppl 5), v1–v95. https://doi.org/10.1093/neuonc/noac202
- 3.Neri, E., Regge, D., & EUCAIM Consortium. (2023). EUCAIM: Towards a European federated cancer imaging infrastructure. European Radiology Experimental, 7, 49. https://doi.org/10.1186/s41747-023-00347-4
- 4.Stupp, R., Mason, W. P., van den Bent, M. J., Weller, M., Fisher, B., Taphoorn, M. J. B., Belanger, K., Brandes, A. A., Marosi, C., Bogdahn, U., Curschmann, J., Janzer, R. C., Ludwin, S. K., Gorlia, T., Allgeier, A., Lacombe, D., Cairncross, J. G., Eisenhauer, E., & Mirimanoff, R. O. (2005). Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. New England Journal of Medicine, 352(10), 987–996. https://doi.org/10.1056/NEJMoa043330
- 5.Louis, D. N., Perry, A., Wesseling, P., Brat, D. J., Cree, I. A., Figarella-Branger, D., Hawkins, C., Ng, H. K., Pfister, S. M., Reifenberger, G., Soffietti, R., von Deimling, A., & Ellison, D. W. (2021). The 2021 WHO classification of tumors of the central nervous system: A summary. Neuro-Oncology, 23(8), 1231–1251. https://doi.org/10.1093/neuonc/noab106
- 6.Baid, U., Ghodasara, S., Mohan, S., Bilello, M., Calabrese, E., Colak, E., Farahani, K., Kalpathy-Cramer, J., Kitamura, F. C., Pati, S., Prevedello, L. M., Rudie, J. D., Sako, C., Shinohara, R. T., Bergquist, T., Chai, R., Eddy, J., Elliott, J., Isensee, F., … Bakas, S. (2021). The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification. arXiv. https://doi.org/10.48550/arXiv.2107.02314
2
247 Health News Editorial
247 Health News is a medical intelligence platform delivering evidence-based research appraisals, clinical trial monitoring, and health technology news for healthcare professionals.
Related Articles
clinical-trials
Digital Health Platform vs Case Manager Support in Hypertension Management: Taiwan's 1,726-Participant Trial Signals a Shift in Blood Pressure Care Delivery
3 Aug 2026
clinical-trials
Phase II Trial: AI-Powered Wysa Chatbot vs Unmet Need — Digital Eating Disorder Prevention in At-Risk Adolescents
3 Aug 2026
clinical-trials
Pilot Trial Targets the Inpatient-to-Outpatient Gap: Digital Smoking Cessation Intervention for Persons With Serious Mental Illness — Key Findings for Clinicians
3 Aug 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service