Not_yet_recruitingNCT07543263

An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography

Sponsor: Qilu Hospital of Shandong University

Trial Details

ConditionEndoscopic Ultrasound (EUS), Pancreatic Cystic Lesion (PCL)
InterventioniEUS-PCL(intelligent endoscopic ultrasound system- pancreatic cystic lesion)
StatusNot_yet_recruiting
Participants176
Est. Completion30 June 2028
Last Updated29 Apr 2026

Primary Outcome

The accuracy of iEUS-PCL for pancreatic cystic lesions; The sensitivity of iEUS-PCL for pancreatic cystic lesions; The specificicy of iEUS-PCL for pancreatic cystic lesions; The postive predictive value of iEUS-PCL for pancreatic cystic lesions; The negative predictive value of iEUS-PCL for pancreatic cystic lesions

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: \- 1. Patients aged ≥18 years scheduled for EUS with suspected pancreatic cystic lesions based on clinical symptoms, medical history, laboratory tests or radiological examinations, and who agree to participate in the research and voluntarily sign the informed consent. 2\. Patients with no prior history of treatment for pancreatic lesions. Exclusion Criteria: \- 1. Patients with absolute contraindications to EUS examination. 2. Pregnancy or lactating. 3. Uncorrectable coagulopathy(PTT\>50 seconds or INR\>1.5) and/or uncorrectable thrombocytopenia(platelet count\<50×109/L). 4. Upper gastrointestinal obstruction. 5. Patients who underwent surgical treatment or anatomical alterations of the pancreas due to lesions in other thoracic and/or abdominal organs, as well as patients with congenital anatomical abnormalities. 6\. Patients who have undergone biliary/pancreatic duct stent placement. 7. Patients who refuse to sign the informed consent.

Trial Sites

Countries

China
View Registry Entry

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