Artificial Intelligence (AI) Cytopathology Trial
NCT05018663 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 50
Last updated 2023-02-16
Summary
Purpose The primary objective of the study is to compare interpretation of EUS FNA/FNB samples for adequacy between ROSE and AI at bedside. To compare accuracy of preliminary diagnosis results between ROSE and AI at bedside versus final pathology report.
Research design This is a prospective single center study to compare performance characteristics in the interpretation of EUS FNA/FNB samples between AI and ROSE.
Procedures to be used Eligible patients will undergo EUS guided FNA/FNA of PSLs using standard of care. Sample slides are prepared by a cytopathologist at bedside and observed under a microscope. At the same time, the slides are scanned using a slide scanner and those images are saved for interpretation by AI at a later time.
Conditions
- Pancreatic Solid Lesions
Interventions
- OTHER
-
Artificial Intelligence software ROSE
Rapid on-site evaluation (ROSE) of Endoscopic Ultrasound (EUS) guided FNA/FNB (Fine Needle Aspirate/Fine Needle Biopsy) of pancreatic solid lesions (PSLs) has been shown in improve diagnostic yield. The availability and performance of ROSE at EUS performing centers is variable. With strides in Artificial Intelligence (AI) capabilities over the years, the University of Texas at Health Sciences Center at Houston in collaboration with Haystac is developing an artificial intelligence based proprietary system to analyze slides from EUS FNA/FNB samples at bedside.
Sponsors & Collaborators
-
The University of Texas Health Science Center, Houston
lead OTHER
Principal Investigators
-
Nirav Thosani, MD, MHA · The University of Texas Health Science Center, Houston
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-07-21
- Primary Completion
- 2024-07-31
- Completion
- 2028-01-30
Countries
- United States
Study Locations
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