Computer-Assisted and Unassisted Optical Diagnosis of Colorectal Polyps: Results from a Prospective Pragmatic Implementation Study

Background and Aims Computer-aided diagnosis (CADx) may support optical diagnosis of diminutive (≤5 mm) colorectal polyps, replacing histopathology. We aimed to describe CADx usage and diagnostic performance under real-life, discretionary adoption. Patients and Methods We conducted a prospective implementation study enrolling patients undergoing colonoscopies at our tertiary centre (2021-2025). Patients <40y, with inflammatory bowel disease, polyposis syndromes or no diminutive polyp were excluded. For each polyp, endoscopists could choose whether to use CADx for optical diagnosis. CADx-assisted and unassisted endoscopist optical diagnosis and CADx output were documented. Main outcomes were CADx usage and sensitivity for adenomas of CADx-assisted and CADx-unassisted optical diagnosis, using histopathology as ground truth. Results 868 patients (66.1y, 47% female) with 1660 diminutive polyps (62% adenomas) were included. Endoscopists recorded CADx-assisted and CADx-unassisted optical diagnoses for 657 and 864 polyps, respectively. Sensitivity was 85.1% (78.3-90.1) and 85.1% (81.2-88.4), specificity 55.2% (45.8-64.3) and 61.1% (54.5-67.3), PPV 76.2% (69.1-82.1) and 79.3% (75.5-82.9), NPV 60.8% (52.6-68.5) and 67.1% (60.7-73.0), and accuracy 62.7% (56.5-68.4) and 66.4% (63.0-69.7), respectively. In a simulated resect-and-discard strategy, CADx assistance marginally increased the proportion of polyps for which histopathology could be avoided (84.9% vs 81.1%). For high-confidence rectosigmoid diagnoses, NPV for adenomas was 95.5% (86.9-98.5) for CADx-assisted and 93.8% (85.9-97.4) for CADx-unassisted predictions. Conclusions In a real-world descriptive implementation study, CADx-assisted and CADx-unassisted optical diagnosis showed good diagnostic performance. Assessment of the relationship between CADx use and optical diagnosis was limited by unavoidable selection bias related to discretionary use and variable endoscopist behavior despite adjusted analyses.

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Publication Details

Journal
Endoscopy
Published
2026-05-22
DOI
https://doi.org/10.1055/a-2882-7665
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Computer-Assisted and Unassisted Optical Diagnosis of Colorectal Polyps: Results from a Prospective Pragmatic Implementation Study

Roupen Djinbachian, Érik Deslandres, Edgard Medawar, Dane Christina Daoud et al.
Endoscopy
Colorectal Cancer Screening and Detection
article

Computer-Assisted and Unassisted Optical Diagnosis of Colorectal Polyps: Results from a Prospective Pragmatic Implementation Study

Roupen Djinbachian, Érik Deslandres, Edgard Medawar, Dane Christina Daoud, Simon Bouchard, Victoire Michal, Jeremy Liu Chen Kiow, Katarzyna Orlicka, Raymond Leduc, Edmond Jean Bernard, Benoît Panzini, Louise D’Aoust, Megan Oleksiw, R Battat, D Von Renteln, Cesare Hassan, Mickael Bouin, Douglas K. Rex
article en

Abstract

Background and Aims Computer-aided diagnosis (CADx) may support optical diagnosis of diminutive (≤5 mm) colorectal polyps, replacing histopathology. We aimed to describe CADx usage and diagnostic performance under real-life, discretionary adoption. Patients and Methods We conducted a prospective implementation study enrolling patients undergoing colonoscopies at our tertiary centre (2021-2025). Patients <40y, with inflammatory bowel disease, polyposis syndromes or no diminutive polyp were excluded. For each polyp, endoscopists could choose whether to use CADx for optical diagnosis. CADx-assisted and unassisted endoscopist optical diagnosis and CADx output were documented. Main outcomes were CADx usage and sensitivity for adenomas of CADx-assisted and CADx-unassisted optical diagnosis, using histopathology as ground truth. Results 868 patients (66.1y, 47% female) with 1660 diminutive polyps (62% adenomas) were included. Endoscopists recorded CADx-assisted and CADx-unassisted optical diagnoses for 657 and 864 polyps, respectively. Sensitivity was 85.1% (78.3-90.1) and 85.1% (81.2-88.4), specificity 55.2% (45.8-64.3) and 61.1% (54.5-67.3), PPV 76.2% (69.1-82.1) and 79.3% (75.5-82.9), NPV 60.8% (52.6-68.5) and 67.1% (60.7-73.0), and accuracy 62.7% (56.5-68.4) and 66.4% (63.0-69.7), respectively. In a simulated resect-and-discard strategy, CADx assistance marginally increased the proportion of polyps for which histopathology could be avoided (84.9% vs 81.1%). For high-confidence rectosigmoid diagnoses, NPV for adenomas was 95.5% (86.9-98.5) for CADx-assisted and 93.8% (85.9-97.4) for CADx-unassisted predictions. Conclusions In a real-world descriptive implementation study, CADx-assisted and CADx-unassisted optical diagnosis showed good diagnostic performance. Assessment of the relationship between CADx use and optical diagnosis was limited by unavoidable selection bias related to discretionary use and variable endoscopist behavior despite adjusted analyses.

Endoscopy
Humanitas University (IT), McGill University Health Centre (CA), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Indiana University School of Medicine, Indiana University (US), Université de Montréal (CA)
Canadian Association of Gastroenterology, Canadian Institutes of Health Research, Fonds de Recherche du Québec - Santé
Openalex Percentile: Top 6%
Colorectal Cancer Screening and Detection
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