Making Colonoscopy Smarter With Standardized Computer-Aided Diagnosis
Authors: Øyvind Holme, Lars Aabakken
Journal: Annals of Internal Medicine (2018)

Editorials18 September 2018Making Colonoscopy Smarter With Standardized Computer-Aided DiagnosisØyvind Holme, MD, PhD and Lars Aabakken, MD, PhDØyvind Holme, MD, PhDUniversity of Oslo and Cancer Registry of Norway, Oslo, and Sorlandet Hospital Trust, Kristiansand, Norway (Ø.H.) and Lars Aabakken, MD, PhDUniversity of Oslo and Oslo University Hospital Rikshospitalet, Oslo, Norway (L.A.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/M18-1901 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail As screening for colorectal cancer gains traction worldwide, initiatives to reduce costs and improve efficiency are increasing. These strategies should not reduce the effectiveness of the screening programs.Most cases of colorectal cancer develop from adenomas or sessile serrated polyps, and removal of these lesions is recommended. However, hyperplastic polyps, especially if diminutive (<5 mm) and located in the distal part of the large bowel, are not associated with subsequent development of adenomas or colorectal cancer (1). Therefore, they do not have to be removed to reduce cancer risk. Leaving these polyps unresected would save time and expense; the annual ...References1. Hassan C, Quintero E, Dumonceau JM, Regula J, Brandão C, Chaussade S, et al; European Society of Gastrointestinal Endoscopy. Post-polypectomy colonoscopy surveillance: european society of gastrointestinal endoscopy (ESGE) guideline. Endoscopy. 2013;45:842-51. [PMID: 24030244] doi:10.1055/s-0033-1344548 CrossrefMedlineGoogle Scholar2. Hassan C, Pickhardt PJ, Rex DK. A resect and discard strategy would improve cost-effectiveness of colorectal cancer screening. Clin Gastroenterol Hepatol. 2010;8:865-9, 869. [PMID: 20621680] doi:10.1016/j.cgh.2010.05.018 CrossrefMedlineGoogle Scholar3. Hewett DG, Kaltenbach T, Sano Y, Tanaka S, Saunders BP, Ponchon T, et al. Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology. 2012;143:599-607. [PMID: 22609383] doi:10.1053/j.gastro.2012.05.006 CrossrefMedlineGoogle Scholar4. Abu Dayyeh BK, Thosani N, Konda V, Wallace MB, Rex DK, Chauhan SS, et al; ASGE Technology Committee. ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps. Gastrointest Endosc. 2015;81:502. [PMID: 25597420] doi:10.1016/j.gie.2014.12.022 CrossrefMedlineGoogle Scholar5. Byrne MF, Chapados N, Soudan F, Oertel C, Linares Pérez M, Kelly R, et al. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut. 2017. [PMID: 29066576] doi:10.1136/gutjnl-2017-314547 CrossrefMedlineGoogle Scholar6. Mori Y, Kudo SE, Berzin TM, Misawa M, Takeda K. Computer-aided diagnosis for colonoscopy. Endoscopy. 2017;49:813-819. [PMID: 28561195] doi:10.1055/s-0043-109430 CrossrefMedlineGoogle Scholar7. East JE, Vleugels JL, Roelandt P, Bhandari P, Bisschops R, Dekker E, et al. Advanced endoscopic imaging: european society of gastrointestinal endoscopy (ESGE) technology review. Endoscopy. 2016;48:1029-1045. [PMID: 27711949] CrossrefMedlineGoogle Scholar8. Mori Y, Kudo S, Misawa M, Saito Y, Ikematsu H, Hotta K, et al. Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy.A prospective study. Ann Intern Med. 2018;169:357-66. doi:10.7326/M18-0249 LinkGoogle Scholar Author, Article, and Disclosure InformationAffiliations: University of Oslo and Cancer Registry of Norway, Oslo, and Sorlandet Hospital Trust, Kristiansand, Norway (Ø.H.)University of Oslo and Oslo University Hospital Rikshospitalet, Oslo, Norway (L.A.)Disclosures: Authors have disclosed no conflicts of interest. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M18-1901.Corresponding Author: Øyvind Holme, MD, PhD, Institute of Health and Society, University of Oslo, Postboks 1130 Blindern, 0318 Oslo, Norway; e-mail, oyvind.[email protected]uio.no.Current Author Addresses: Dr. Holme: Institute of Health and Society, University of Oslo, Postboks 1130 Blindern, 0318 Oslo, Norway.Dr. Aabakken: OUS-Rikshospitalet University Hospital, 0027 Oslo, Norway.This article was published at Annals.org on 14 August 2018. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoReal-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy Yuichi Mori , Shin-ei Kudo , Masashi Misawa , Yutaka Saito , Hiroaki Ikematsu , Kinichi Hotta , Kazuo Ohtsuka , Fumihiko Urushibara , Shinichi Kataoka , Yushi Ogawa , Yasuharu Maeda , Kenichi Takeda , Hiroki Nakamura , Katsuro Ichimasa , Toyoki Kudo , Takemasa Hayashi , Kunihiko Wakamura , Fumio Ishida , Haruhiro Inoue , Hayato Itoh , Masahiro Oda , and Kensaku Mori Metrics Cited byEndoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a ScaleRise of the Machines: The Inevitable Evolution of Medicine and Medical Laboratories Intertwining with Artificial Intelligence—A Narrative ReviewArtificial Intelligence and Machine Learning: Implications for Surgery 18 September 2018Volume 169, Issue 6Page: 409-410KeywordsAdenomasArtificial intelligenceBiopsyClinical trialsColonoscopyColorectal cancerComputersHealth care qualityPolypectomiesStaining ePublished: 14 August 2018 Issue Published: 18 September 2018 Copyright & PermissionsCopyright © 2018 by American College of Physicians. 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