Clinical consequences of computer-aided colorectal polyp detection.

COLORECTAL CANCER SCREENING COLORECTAL NEOPLASIA COMPUTERISED IMAGE ANALYSIS ENDOSCOPY

Journal

Gut
ISSN: 1468-3288
Titre abrégé: Gut
Pays: England
ID NLM: 2985108R

Informations de publication

Date de publication:
14 Jun 2024
Historique:
received: 12 01 2024
accepted: 02 06 2024
medline: 15 6 2024
pubmed: 15 6 2024
entrez: 14 6 2024
Statut: aheadofprint

Résumé

Randomised trials show improved polyp detection with computer-aided detection (CADe), mostly of small lesions. However, operator and selection bias may affect CADe's true benefit. Clinical outcomes of increased detection have not yet been fully elucidated. In this multicentre trial, CADe combining convolutional and recurrent neural networks was used for polyp detection. Blinded endoscopists were monitored in real time by a second observer with CADe access. CADe detections prompted reinspection. Adenoma detection rates (ADR) and polyp detection rates were measured prestudy and poststudy. Histological assessments were done by independent histopathologists. The primary outcome compared polyp detection between endoscopists and CADe. In 946 patients (51.9% male, mean age 64), a total of 2141 polyps were identified, including 989 adenomas. CADe was not superior to human polyp detection (sensitivity 94.6% vs 96.0%) but outperformed them when restricted to adenomas. Unblinding led to an additional yield of 86 true positive polyp detections (1.1% ADR increase per patient; 73.8% were <5 mm). CADe also increased non-neoplastic polyp detection by an absolute value of 4.9% of the cases (1.8% increase of entire polyp load). Procedure time increased with 6.6±6.5 min (+42.6%). In 22/946 patients, the additional detection of adenomas changed surveillance intervals (2.3%), mostly by increasing the number of small adenomas beyond the cut-off. Even if CADe appears to be slightly more sensitive than human endoscopists, the additional gain in ADR was minimal and follow-up intervals rarely changed. Additional inspection of non-neoplastic lesions was increased, adding to the inspection and/or polypectomy workload.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
Randomised trials show improved polyp detection with computer-aided detection (CADe), mostly of small lesions. However, operator and selection bias may affect CADe's true benefit. Clinical outcomes of increased detection have not yet been fully elucidated.
METHODS METHODS
In this multicentre trial, CADe combining convolutional and recurrent neural networks was used for polyp detection. Blinded endoscopists were monitored in real time by a second observer with CADe access. CADe detections prompted reinspection. Adenoma detection rates (ADR) and polyp detection rates were measured prestudy and poststudy. Histological assessments were done by independent histopathologists. The primary outcome compared polyp detection between endoscopists and CADe.
RESULTS RESULTS
In 946 patients (51.9% male, mean age 64), a total of 2141 polyps were identified, including 989 adenomas. CADe was not superior to human polyp detection (sensitivity 94.6% vs 96.0%) but outperformed them when restricted to adenomas. Unblinding led to an additional yield of 86 true positive polyp detections (1.1% ADR increase per patient; 73.8% were <5 mm). CADe also increased non-neoplastic polyp detection by an absolute value of 4.9% of the cases (1.8% increase of entire polyp load). Procedure time increased with 6.6±6.5 min (+42.6%). In 22/946 patients, the additional detection of adenomas changed surveillance intervals (2.3%), mostly by increasing the number of small adenomas beyond the cut-off.
CONCLUSION CONCLUSIONS
Even if CADe appears to be slightly more sensitive than human endoscopists, the additional gain in ADR was minimal and follow-up intervals rarely changed. Additional inspection of non-neoplastic lesions was increased, adding to the inspection and/or polypectomy workload.

Identifiants

pubmed: 38876773
pii: gutjnl-2024-331943
doi: 10.1136/gutjnl-2024-331943
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Pieter Sinonquel (P)

Gastroenterology and Hepatology, UZ Leuven, Leuven, Belgium pieter.sinonquel@uzleuven.be.
Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven Biomedical Sciences Group, Leuven, Belgium.

Tom Eelbode (T)

Electrical Engineering (ESAT/PSI), KU Leuven, Leuven, Belgium.

Oliver Pech (O)

Gastroenterology and Hepatology, Krankenhaus Barmherzige Bruder Regensburg, Regensburg, Germany.

Dominiek De Wulf (D)

Gastroenterology and Hepatology, AZ Delta vzw, Roeselare, Belgium.

Pieter Dewint (P)

Gastroenterology and Hepatology, AZ Maria Middelares vzw, Gent, Belgium.

Helmut Neumann (H)

Gastroenterology and Hepatology, Gastrozentrum Lippe, Bad Salzuflen, Germany.

Giulio Antonelli (G)

Gastroenterology and Digestive Endoscopy Unit, Ospedale Nuovo Regina Margherita, Roma, Italy.

Federico Iacopini (F)

Gastroenterology and Digestive endoscopy, Ospedale dei Castelli, Ariccia, Italy.

David Tate (D)

Gastroenterology and Hepatology, UZ Gent, Gent, Belgium.

Arnaud Lemmers (A)

Gastroenterology and Hepatology, ULB Erasme, Bruxelles, Belgium.

Nastazja Dagny Pilonis (ND)

MRC Cancer Unit, Cambridge University, Cambridge, UK.

Michal Filip Kaminski (MF)

Department of Gastroenterology, Hepatology and Oncology, Medical Centre fo Postgraduate Education, Warsaw, Poland.
Department of Gastroenterological Oncology, The Maria Sklodowska-Curie Memorial Cancer Centre, Instytute of Oncology, Warsaw, Poland.

Philip Roelandt (P)

Gastroenterology and Hepatology, UZ Leuven, Leuven, Belgium.
Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven Biomedical Sciences Group, Leuven, Belgium.

Cesare Hassan (C)

Endoscopy, Humanitas University Hospitals, Humanitas Group, Rozzano, Italy.

Demedts Ingrid (D)

Gastroenterology and Hepatology, UZ Leuven, Leuven, Belgium.
Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven Biomedical Sciences Group, Leuven, Belgium.

Frederik Maes (F)

Electrical Engineering (ESAT/PSI), KU Leuven, Leuven, Belgium.

Raf Bisschops (R)

Gastroenterology and Hepatology, UZ Leuven, Leuven, Belgium.
Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven Biomedical Sciences Group, Leuven, Belgium.

Classifications MeSH