AI Guidance for Biopsy in Suspected Cholangiocarcinoma
NCT05374122 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 48
Last updated 2023-03-06
Summary
Digital single-operator cholangioscopy (DSOC) has emerged as a medical advance with an important role in the evaluation of indeterminate biliary lesions. This technique has demonstrated higher sensitivity in the guidance for tissue acquisition when compared with standard endoscopic retrograde cholangiopancreatography (ERCP). DSOC-guided biopsy is considered technically safe and successful for tissue collection.
Hand in hand with the development of more precise diagnostic techniques, comes the implementation of artificial intelligence (AI) for diagnostic assessment. For the past decade, the role of artificial intelligence (AI) has been increasing at a rapid pace. In the biliary tract, different models have been proposed for the characterization of malignant features. Nevertheless, to date, the discrepancy between the visual impression of the operator and the histological results obtained by cholangioscopy still present, affecting the accuracy the diagnosis.
Based on the above, the investigators aim to assess the diagnostic accuracy of AI for the guidance of tissue acquisition with DSOC compared to DSOC without AI for suspected cholangiocarcinoma. As a secondary aim, the investigators pursue to compare quality of AI-guided biopsies samples vs. DSOC biopsies without AI.
Conditions
- Neoplasms
- Non-Neoplastic
- Bile Duct Neoplasms
- Bile Duct Lesions
Interventions
- DIAGNOSTIC_TEST
-
DSOC with AI biopsy guidance
Patients with a presumptive diagnosis of biliary malignancy will undergo DSOC + Artificial intelligence model (AIWorks) guidance for detection of neoplastic lesion during real-time procedure, tissue sampling acquisition, and histopathological analysis.
- DIAGNOSTIC_TEST
-
DSOC biopsy without AI guidance
Patients with lesions suggestive of malignancy will undergo DSOC without AI guidance for sampling. Based on the observer´s criteria regarding areas suggestive of malignancy, the collected tissue sample will be sent for histopathological studies.
Sponsors & Collaborators
-
Instituto Ecuatoriano de Enfermedades Digestivas
lead OTHER
Principal Investigators
-
Carlos Robles-Medranda, MD FASGE · Ecuadorian Institute of Digestive Diseases
Study Design
- Allocation
- RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 99 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-05-01
- Primary Completion
- 2023-12-30
- Completion
- 2024-05-01
Countries
- Ecuador
Study Locations
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