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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Prospective Comparison of Pathology and Computer-Aided Optical Diagnosis for Polyp Characterization Using Expert

Felix Huang1, Thea Iulia Dimbu1, Douglas K Rex2

  • 1Faculty of Medicine, University of Montreal, Montreal, QC, Canada.

Digestive Diseases and Sciences
|July 24, 2025
PubMed
Summary
This summary is machine-generated.

Histopathology can misdiagnose colorectal polyps, with 23% of cases potentially incorrect. Autonomous computer-aided diagnosis (CADx) showed higher accuracy (91.2%) than pathology (77.0%) for diminutive polyps.

Keywords:
ColonoscopyComputer-aided diagnostic systemHistopathology

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Area of Science:

  • Gastroenterology
  • Medical Imaging
  • Pathology

Background:

  • Histopathology is the gold standard for colorectal polyp classification.
  • The diagnostic process involves multiple steps, each risking errors.
  • Investigating autonomous computer-aided diagnosis (CADx) accuracy against expert consensus is crucial.

Purpose of the Study:

  • To compare the diagnostic accuracy of autonomous CADx with histopathology for colorectal polyps.
  • To determine the proportion of incorrect histopathology diagnoses.
  • To establish expert consensus as the reference standard.

Main Methods:

  • Prospective study of diminutive (≤5 mm) colorectal polyps.
  • Expert endoscopists reviewed colonoscopy images/videos assessed by autonomous CADx.
  • Unanimous, high-confidence expert agreement defined the reference standard.

Main Results:

  • 226 polyps met the reference standard criteria.
  • Histopathology had a 23% rate of potential misdiagnosis.
  • Autonomous CADx accuracy was 91.2%, significantly higher than histopathology at 77.0%.

Conclusions:

  • Histopathological diagnosis is not infallible and can introduce errors.
  • Autonomous CADx, performed during procedures, may prevent specimen handling-related errors.
  • CADx shows potential for superior accuracy in polyp characterization.