GI genius endoscopy module: a clinical profile.

Adenoma detection rate Artificial intelligence Colonoscopy Colorectal cancer screening GI Genius

Journal

Expert review of medical devices
ISSN: 1745-2422
Titre abrégé: Expert Rev Med Devices
Pays: England
ID NLM: 101230445

Informations de publication

Date de publication:
15 Apr 2024
Historique:
medline: 15 4 2024
pubmed: 15 4 2024
entrez: 15 4 2024
Statut: aheadofprint

Résumé

The identification of early-stage colorectal cancers (CRC) and the resection of pre-cancerous neoplastic lesions through colonoscopy allows to decrease both CRC incidence and mortality. However, colonoscopy miss rates up to 26% for adenomas and 9% for advanced adenomas have been reported. In recent years, artificial intelligence (AI) systems have been emerging as easy-to-use tools, potentially lowering the risk of missing lesions. This review paper focuses on GI Genius device (Medtronic Co. Minneapolis, MN, U.S.A.) a computer-assisted tool designed to assist endoscopists during standard white-light colonoscopies in detecting mucosal lesions. Randomized controlled trials (RCTs) indicate that GI Genius is a safe and effective tool for improving adenoma detection, especially in CRC screening and surveillance colonoscopies. However, its impact seems to be less significant among experienced endoscopists and in real-world clinical scenarios compared to the controlled conditions of RCTs. Furthermore, the contribution of GI Genius appears to be mainly related to detection of non-advanced, diminutive polyps, while it doesn't seem to affect the identification of advanced and difficult-to-detect adenomas. When using GI Genius, there were no documented side-events, with only a small number of studies reporting an increased withdrawal time or an increased removal of non-neoplastic lesions.

Identifiants

pubmed: 38618982
doi: 10.1080/17434440.2024.2342508
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Alberto Savino (A)

Division of Gastroenterology, Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.

Emanuele Rondonotti (E)

Gastroenterology Unit, Valduce Hospital, Como, Italy.

Simone Rocchetto (S)

Gastroenterology Unit, Valduce Hospital, Como, Italy.
Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Gastroenterology and Hepatology, University of Milan, Milan, Italy.

Alessandra Piagnani (A)

Gastroenterology Unit, Valduce Hospital, Como, Italy.
Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Gastroenterology and Hepatology, University of Milan, Milan, Italy.

Niccolò Bina (N)

Gastroenterology Unit, Valduce Hospital, Como, Italy.

Pasquale Di Domenico (P)

Gastrointestinal Unit, Department of Medicine, Surgery & Dentistry Scuola Medica Salernitana, University of Salerno, Salerno, Italy.

Francesco Segatta (F)

Gastroenterology Unit, Valduce Hospital, Como, Italy.
Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Gastroenterology and Hepatology, University of Milan, Milan, Italy.

Franco Radaelli (F)

Gastroenterology Unit, Valduce Hospital, Como, Italy.

Classifications MeSH