Literature DB >> 19899031

Value of magnifying endoscopy in classifying colorectal polyps based on vascular pattern.

J J W Tischendorf1, R Schirin-Sokhan, K Streetz, N Gassler, H E Hecker, M Meyer, F Tacke, H E Wasmuth, C Trautwein, R Winograd.   

Abstract

BACKGROUND AND STUDY AIMS: Narrow-band imaging (NBI) has been developed as a new technique to differentiate tissue patterns in vivo. The aim of this study was to evaluate the diagnostic accuracy of NBI endoscopy with and without high magnification for the differentiation of neoplastic from non-neoplastic colorectal polyps. PATIENTS AND METHODS: Among 200 colorectal polyps from 131 patients, 100 lesions were classified according to vascular patterns by NBI endoscopy with high optical magnification and 100 lesions by high-definition endoscopy without high magnification. Additionally, the clarity of the vessel network was assessed. Histologic analysis was performed on all lesions.
RESULTS: NBI endoscopy with high magnification resulted in a sensitivity of 92.1 % and a specificity of 89.2 % for the differentiation of neoplastic versus non-neoplastic lesions. This performance was statistically comparable to high-definition NBI endoscopy without high magnification, which showed a sensitivity of 87.9 % and specificity of 90.5 %. However, vessel network was significantly better visualized by NBI endoscopy with optical magnification compared with high-definition NBI endoscopy without high magnification. In comparison with NBI endoscopy, white-light endoscopy, with or without magnification, resulted in inferior discrimination between neoplastic and non-neoplastic polyps.
CONCLUSION: The results demonstrate that the superior visibility of capillary vessels by the NBI technique allows the evaluation of colorectal lesions - based on the vascular patterns - with high diagnostic accuracy. In clinical routine, high-definition NBI endoscopy without high magnification may be used to sufficiently predict colorectal polyp histology, and high magnification can additionally facilitate visualization of vascular networks. Georg Thieme Verlag KG Stuttgart. New York.

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Year:  2009        PMID: 19899031     DOI: 10.1055/s-0029-1215268

Source DB:  PubMed          Journal:  Endoscopy        ISSN: 0013-726X            Impact factor:   10.093


  14 in total

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3.  The detection of surface patterns by flexible spectral imaging color enhancement without magnification for diagnosis of colorectal polyps.

Authors:  Naohisa Yoshida; Yuji Naito; Yutaka Inada; Munehiro Kugai; Ken Inoue; Kazuhiko Uchiyama; Osamu Handa; Tomohisa Takagi; Hideyuki Konishi; Nobuaki Yagi; Yasutaka Morimoto; Naoki Wakabayashi; Akio Yanagisawa; Toshikazu Yoshikawa
Journal:  Int J Colorectal Dis       Date:  2011-12-06       Impact factor: 2.571

4.  High-definition colonoscopy with i-Scan: better diagnosis for small polyps and flat adenomas.

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5.  Real-time optical biopsy of colon polyps with narrow band imaging in community practice does not yet meet key thresholds for clinical decisions.

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6.  Characteristic magnifying narrow-band imaging features of colorectal tumors in each growth type.

Authors:  Sayaka Takata; Shinji Tanaka; Nana Hayashi; Motomi Terasaki; Koichi Nakadoi; Hiroyuki Kanao; Shiro Oka; Shigeto Yoshida; Kazuaki Chayama
Journal:  Int J Colorectal Dis       Date:  2012-12-04       Impact factor: 2.571

7.  Diagnostic performance of magnifying endoscopy with narrow-band imaging in differentiating neoplastic colorectal polyps from non-neoplastic colorectal polyps: a meta-analysis.

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Journal:  J Gastroenterol       Date:  2018-01-30       Impact factor: 7.527

8.  Optical diagnosis of small colorectal polyp histology with high-definition colonoscopy using narrow band imaging.

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Journal:  Clin Endosc       Date:  2013-03-31

9.  New paradigms for colonoscopic management of diminutive colorectal polyps: predict, resect, and discard or do not resect?

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Journal:  Clin Endosc       Date:  2013-03-31

10.  Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.

Authors:  Robin Zachariah; Jason Samarasena; Daniel Luba; Erica Duh; Tyler Dao; James Requa; Andrew Ninh; William Karnes
Journal:  Am J Gastroenterol       Date:  2020-01       Impact factor: 12.045

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