Endoscopic prediction of advanced histology in colorectal lesions sized <10 mm using the Japan Narrow‐band imaging Expert Team classification. Issue 5 (25th November 2019)

• Record Type: Journal Article
• Authors: Murano, Tatsuro; Ikematsu, Hiroaki; Shinmura, Kensuke; Ito, Renma; Minamide, Tatsunori; Sato, Daiki; Yamamoto, Yoichi; Takashima, Kenji; Kadota, Tomohiro; Yoda, Yusuke; Hori, Keisuke; Oono, Yasuhiro; Yano, Tomonori
• Is Part Of: Digestive endoscopy. Volume 32:Issue 5(2020)
• Page Start: 785
• Page End: 790
• Publication Date: 2019-11-25
• Subjects: colorectal -- endoscopy -- Japan NBI Expert Team (JNET) classification -- magnifying endoscopy -- narrow‐band imaging; Digestive organs -- Diseases -- Periodicals; Digestive organs -- Diseases -- Diagnosis -- Periodicals; Endoscopy -- Periodicals; Digestive System Diseases -- diagnosis -- Periodicals; Digestive System Diseases -- therapy -- Periodicals; Endoscopy -- Periodicals; 616.3
• DOI: 10.1111/den.13566
• Languages: English
• ISSNs: 0915-5635

Abstract

Abstract : Background and Aim: Endoscopic diagnosis of advanced histology in colorectal lesions sized &lt;10 mm is essential for appropriate selection of resection methods. The Japan Narrow‐band imaging Expert Team (JNET) classification has been recently validated for the evaluation of colorectal lesions. Our objective was to investigate the diagnostic value of the JNET classification for advanced histology in colorectal lesions sized &lt;10 mm. Methods: We enrolled 680 patients with 1472 colorectal lesions sized &lt;10 mm diagnosed according to the JNET classification and who subsequently underwent endoscopic or surgical resection between January and December 2017. We retrospectively examined the relationship between the JNET findings and pathological histology. Multivariate analysis was carried out to assess the predictive power of the JNET findings and clinical characteristics of lesions. Results: Advanced histology was present in 29 (2.0%) lesions. Advanced histology was absent in 68 lesions diagnosed as JNET type 1, whereas 1389 lesions diagnosed as JNET type 2A included 19 lesions of advanced histology (1.4%) with high‐grade dysplasia alone. Eleven lesions diagnosed as JNET type 2B comprised eight lesions of advanced histology (72.7%) with four high‐grade dysplasia and four submucosal invasive cancer, and two lesions diagnosed as JNET type 3 were submucosal invasive cancer. Multivariate analysis showed that JNET type 2B + 3 was a stronger predictive factor for advanced histology than other clinical risk factors. Conclusion: Narrow‐band imaging with magnification according to the JNET classification may be a useful modality for identification of advanced histology in colorectal lesions sized &lt;10 mm.