Comparing AI and traditional methods for analyzing pancreatic lesions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to evaluate the effectiveness of artificial intelligence (AI) in interpreting samples obtained from endoscopic ultrasound-guided fine needle aspiration (FNA) and biopsy (FNB) of pancreatic solid lesions. It will compare the adequacy of sample interpretation between real-time on-site evaluation (ROSE) by a cytopathologist and AI analysis at the bedside. Patients will undergo standard procedures for sample collection, with slides being prepared for both human and AI analysis. The study seeks to determine the accuracy of preliminary diagnoses made using these two methods against final pathology reports.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Have EUS finding of a PSL;
* Do not have contraindications for FNA/FNB.

Exclusion Criteria:

* Inability to provide informed consent for the procedure;
* Contraindication for FNA/FNB eg coagulopathy, lack of avascular window for FNA.

Where it's running

• Memorial Hermann Hospital
  Houston, Texas, United States Recruiting

Study contacts

• Principal investigator: Nirav Thosani, MD, MHA — The University of Texas Health Science Center, Houston
• Study coordinator: Prithvi B Patil, MS
• Email: prithvi.b.patil@uth.tmc.edu
• Phone: 7135006456

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.