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

Recruitingn/aAges 18 Years - anyAllQilu Hospital of Shandong University
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In plain words

What the trial is, and whether it could suit you

The aim of this study is to develop and validate an artificial intelligence system named iEUS-PCL (intelligent endoscopic ultrasound system-pancreatic cystic lesions) for detecting and multimodal, multi-class diagnosing pancreatic cystic lesions (PCL) during endoscopic ultrasound (EUS) examination.

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📋 Eligibility rules (as published)
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.
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What it tests

  • iEUS-PCL(intelligent endoscopic ultrasound system- pancreatic cystic lesion)
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Where

1 site
Qilu Hospital of Shandong University
Jinan, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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