Updates in narrow-band imaging for colorectal polyps: Narrow-band imaging generations, detection, diagnosis, and artificial intelligence.


Journal

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
ISSN: 1443-1661
Titre abrégé: Dig Endosc
Pays: Australia
ID NLM: 9101419

Informations de publication

Date de publication:
May 2023
Historique:
received: 29 06 2022
accepted: 01 12 2022
medline: 15 5 2023
pubmed: 9 12 2022
entrez: 8 12 2022
Statut: ppublish

Résumé

Narrow-band imaging (NBI) is an optical digital enhancement method that allows the observation of vascular and surface structures of colorectal lesions. Its usefulness in the detection and diagnosis of colorectal polyps has been demonstrated in several clinical trials and the diagnostic algorithms have been simplified after the establishment of endoscopic classifications such as the Japan NBI Expert Team classification. However, there were issues including lack of brightness in the earlier models, poor visibility under insufficient bowel preparation, and the incompatibility of magnifying endoscopes in certain endoscopic platforms, which had impeded NBI from becoming standardized globally. Nonetheless, NBI continued its evolution and the newest endoscopic platform launched in 2020 offers significantly brighter and detailed images. Enhanced visualization is expected to improve the detection of polyps while universal compatibility across all scopes including magnifying endoscopy will promote the global standardization of magnifying diagnosis. Therefore, knowledge related to magnifying colonoscopy will become essential as magnification becomes standardly equipped in future models, although the advent of computer-aided diagnosis and detection may greatly assist endoscopists to ensure quality of practice. Given that most endoscopic departments will be using both old and new models, it is important to understand how each generation of endoscopic platforms differ from each other. We reviewed the advances in the endoscopic platforms, artificial intelligence, and evidence related to NBI essential for the next generation of endoscopic practice.

Identifiants

pubmed: 36480465
doi: 10.1111/den.14489
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

453-470

Informations de copyright

© 2022 Japan Gastroenterological Endoscopy Society.

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Auteurs

Akira Teramoto (A)

Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.

Seiji Hamada (S)

Gastrointestinal Center, Urasoe General Hospital, Okinawa, Japan.

Banri Ogino (B)

Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.

Ichiro Yasuda (I)

Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.

Yasushi Sano (Y)

Gastrointestinal Center, Sano Hospital, Hyogo, Japan.

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