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Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring

World Journal of Gastroenterology 2018年第42期24卷 4809-4820页

作者： Yasuhiko Maeyama Keiichi Mitsuyama tetsuhiro noda Shiuchiro Nagata Tsutomu Nagata Shinichiro Yoshioka Hikaru Yoshida Michita Mukasa Hiroaki Sumie Hiroshi Kawano Jun Akiba Yuko Araki Tatsuyuki Kakuma Osamu Tsuruta Takuji Torimura Division of Gastroenterology Department of MedicineKurume University School of Medicine Department of Gastroenterology St.Mary’s HospitalKurume Department of Diagnostic Pathology Kurume University Hospital Biostatistics Center Kurume University School of Medicine

AIM To determine the usefulness of assigning narrow-band imaging(NBI) scores for predicting tumor grade and invasion depth in colorectal *** A total of 161 colorectal lesions were analyzed from138 patients who underwent endoscopic or surgical resection after conventional colonoscopy and magnifying endoscopy with NBI. The relationships between the surface and vascular patterns of the lesions, as visualized with NBI, and the tumor grade and depth of submucosa(SM) invasion were determined *** were assigned to distinct features of the surface microstructures of tubular and papillary-type *** a multivariate analysis, a model was developed for predicting the tumor grade and depth of invasion based on NBI-finding *** NBI findings that correlated with a high tumor grade were associated with the "regular/irregular"(P < 0.0001)surface patterns and the "avascular area" pattern(P =0.0600). The vascular patterns of "disrupted vessels"(P = 0.0714) and "thick vessels"(P = 0.0133) but none of the surface patterns were associated with a depth of invasion of ≥ 1000 μm. In our model, a total NBIfinding score ≥ 1 was indicative of a high tumor grade(sensitivity: 0.97; specificity: 0.24), and a total NBIfinding score ≥ 9(sensitivity: 0.56; specificity: 1.0) was predictive of a SM invasion depth ≥ 1000 μm. Scores less than these cutoff values signified adenomas and a SM invasion depth < 1000 μm, respectively. Associations were also noted between selected NBI findings and tumor tissue architecture and *** Our multivariate statistical model for predicting tumor grades and invasion depths from NBI-finding scores may help standardize the diagnosis of colorectal lesions and inform therapeutic strategies.

关键词： Colorectal cancer Magnifying narrow-band imaging Score Surface pattern Vascular pattern

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