Real-time computer-aided diagnosis of diminutive rectosigmoid polyps using an auto-fluorescence imaging system and novel color intensity analysis software

References

• Matsuda T, Marugame T, Kamo K, et al. Cancer incidence and incidence rates in Japan in 2006: based on data from 15 population-based cancer registries in the monitoring of cancer incidence in Japan (MCIJ) project. Jpn J Clin Oncol. 2012;42:139–147.
   PubMed Web of Science ®Google Scholar
• Winawer SJ, Zauber AG, Ho MN, et al. Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup. N Engl J Med. 1993;329:1977–1981.
   PubMed Web of Science ®Google Scholar
• Zauber AG, Winawer SJ, O'Brien MJ, et al. Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med. 2012;366:687–696.
   PubMed Web of Science ®Google Scholar
• Kahi CJ, Anderson JC, Waxman I, et al. High-definition chromocolonoscopy vs. high-definition white light colonoscopy for average-risk colorectal cancer screening. Am J Gastroenterol. 2010;105:1301–1307.
   PubMed Web of Science ®Google Scholar
• Rex DK, Helbig CC. High yields of small and flat adenomas with high-definition colonoscopes using either white light or narrow band imaging. Gastroenterology. 2007;133:42–47.
   PubMed Web of Science ®Google Scholar
• Rex DK, Kahi C, O'Brien M, et al. The American Society for Gastrointestinal Endoscopy PIVI (Preservation and Incorporation of Valuable Endoscopic Innovations) on real-time endoscopic assessment of the histology of diminutive colorectal polyps. Gastrointest Endosc. 2011;73:419–422.
   PubMed Web of Science ®Google Scholar
• ASGE Technology Committee, Abu Dayyeh BK, Thosani N, Konda V, et al. 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.e1–502.e16.
   PubMed Web of Science ®Google Scholar
• Ladabaum U, Fioritto A, Mitani A, et al. Real-time optical biopsy of colon polyps with narrow band imaging in community practice does not yet meet key thresholds for clinical decisions. Gastroenterology. 2013;144:81–91.
   PubMed Web of Science ®Google Scholar
• Paggi S, Rondonotti E, Amato A, et al. Narrow-band imaging in the prediction of surveillance intervals after polypectomy in community practice. Endoscopy. 2015;47:808–814.
   PubMed Web of Science ®Google Scholar
• Inomata H, Tamai N, Aihara H, et al. Efficacy of a novel auto-fluorescence imaging system with computer-assisted color analysis for assessment of colorectal lesions. Wjg. 2013;19:7146–7153.
   PubMed Web of Science ®Google Scholar
• Aihara H, Saito S, Inomata H, et al. Computer-aided diagnosis of neoplastic colorectal lesions using 'real-time' numerical color analysis during autofluorescence endoscopy. Eur J Gastroenterol Hepatol. 2013;25:488–494.
   PubMed Web of Science ®Google Scholar
• Tamai N, Saito S, Aihara H, et al. Evaluation of the effectiveness of color intensity analysis using a second-generation autofluorescence imaging system for diminutive colorectal polyp differentiation. Dig Endosc. 2014;26: 68–72.
   PubMed Web of Science ®Google Scholar
• Sano Y, Tanaka S, Kudo SE, et al. Narrow-band imaging (NBI) magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team. Dig Endosc. 2016;28:526–533.
   PubMed Web of Science ®Google Scholar
• Uraoka T, Higashi R, Horii J, et al. Prospective evaluation of endoscopic criteria characteristic of sessile serrated adenomas/polyps. J Gastroenterol. 2015;50:555–563.
   PubMed Web of Science ®Google Scholar
• Pepe MS. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford, U.K: Oxford University Press.
   Google Scholar
• Patel SG, Schoenfeld P, Kim HM, et al. Real-time characterization of diminutive colorectal polyp histology using narrow-band imaging: implications for the resect and discard strategy. Gastroenterology. 2016;150:406–418.
   PubMed Web of Science ®Google Scholar
• Klare P, Haller B, Wormbt S, et al. Narrow-band imaging vs. high definition white light for optical diagnosis of small colorectal polyps: a randomized multicenter trial. Endoscopy. 2016;48:909–915.
   PubMed Web of Science ®Google Scholar
• Sanchez-Montes C, Sanchez FJ, Bernal J, et al. Computer-aided prediction of polyp histology on white light colonoscopy using surface pattern analysis. Endoscopy. 2019;51:261–265.
   PubMed Web of Science ®Google Scholar
• Byrne MF, Chapados N, Soudan F, 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. 2019;68:94–100.
   PubMed Web of Science ®Google Scholar
• Chen PJ, Lin MC, Lai MJ, et al. Accurate classification of diminutive colorectal polyps using computer-aided analysis. Gastroenterology. 2018;154:568–575.
   PubMed Web of Science ®Google Scholar
• Kominami Y, Yoshida S, Tanaka S, et al. Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy. Gastrointest Endosc. 2016;83:643–649.
   PubMed Web of Science ®Google Scholar
• Mori Y, Kudo SE, Chiu PW, et al. Impact of an automated system for endocytoscopic diagnosis of small colorectal lesions: an international web-based study. Endoscopy. 2016;48:1110–1118.
   PubMed Web of Science ®Google Scholar
• Misawa M, Kudo SE, Mori Y, et al. Characterization of colorectal lesions using a computer-aided diagnostic system for narrow-band imaging endocytoscopy. Gastroenterology. 2016;150:1531–1532.e3.
   PubMed Web of Science ®Google Scholar
• Andre B, Vercauteren T, Buchner AM, et al. Software for automated classification of probe-based confocal laser endomicroscopy videos of colorectal polyps. World J Gastroenterol. 2012;18:5560–5569.
   PubMed Web of Science ®Google Scholar
• Pohl H, Bensen SP, Toor A, et al. Quality of optical diagnosis of diminutive polyps and associated factors. Endoscopy. 2016;48:817–822.
   PubMed Web of Science ®Google Scholar
• Hong SN, Choe WH, Lee JH, et al. Prospective, randomized, back-to-back trial evaluating the usefulness of i-SCAN in screening colonoscopy. Gastrointest Endosc. 2012;75:1011–1021.e2.
   PubMed Web of Science ®Google Scholar
• Kim YS, Kim D, Chung SJ, et al. Differentiating small polyp histologies using real-time screening colonoscopy with Fuji Intelligent Color Enhancement. Clin Gastroenterol Hepatol. 2011;9:744–749.e1.
   PubMed Web of Science ®Google Scholar