CompletedNot Applicable

Artificial Intelligence in EUS for Diagnosing Pancreatic Solid Lesions

China130 participantsStarted 2022-07-01

Plain-language summary

We aim to develop an EUS-AI model which can facilitate clinical diagnosis by analyzing EUS pictures and clinical parameters of patients.

Who can participate

Age range18 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Patients who underwent EUS using a curved line array echoendoscope (GF-UCT260; Olympus Medical Systems) since 2014 in our affiliation. * For each patient, all available native EUS pictures are included. * Patients' diagnosis are validated by surgical outcomes or fine-needle aspiration (FNA) findings and have a compatible clinical course with a follow-up period of more than 6 months. Exclusion Criteria: * The image is of poor quality. * The images contain unique marks which can potentially bias the model, such as the biopsy needle.

What they're measuring

The model's ability to differentiate pancreatic cancer from other pancreatic solid lesion

Timeframe: After the training process of the EUS-AI model is completed

Trial details

NCT IDNCT05476978

SponsorHuazhong University of Science and Technology

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2023-06-30

View on ClinicalTrials.gov More Pancreatic Ductal Adenocarcinoma trials