Literature DB >> 26158242

Diagnostic accuracy of magnification endoscopy with acetic acid enhancement and narrow-band imaging in gastric mucosal neoplasms.

Kotaro Shibagaki1, Yuji Amano2, Norihisa Ishimura3, Hideaki Taniguchi1, Hiraku Fujita1, Seiji Adachi4, Eichi Kakehi4, Ryosuke Fujita4, Keita Kobayashi5, Yoshikazu Kinoshita3.   

Abstract

BACKGROUND AND STUDY AIMS: Magnification endoscopy with narrow-band imaging (NBIME) and NBIME with acetic acid enhancement (A-NBIME) visualize the capillary and microstructure patterns of the gastric mucosal surface, respectively. This study aimed to compare the diagnostic accuracy and interobserver agreement for white-light endoscopy (WLE), NBIME, and A-NBIME in the different histologic types of gastric mucosal neoplasm. PATIENTS AND METHODS: Consecutive gastric neoplasms (n = 220; 49 adenomas, 144 differentiated adenocarcinomas, and 27 undifferentiated adenocarcinomas) were photographed with WLE, NBIME, and A-NBIME. Macroscopic patterns using WLE, capillary patterns using NBIME, and microstructure patterns using A-NBIME were respectively classified into type M1/M2/M3, type C1/C2/C3/C4, and type S1/S2/S3, as the indicators of adenoma, differentiated adenocarcinoma, and undifferentiated adenocarcinoma (Type C4, unevaluable because of capillary invisibility), according to the previously reported classifications. Endoscopic images were independently reviewed by three experts and three non-experts. Diagnostic accuracy and interobserver diagnostic agreement were compared among the modalities.
RESULTS: Kappa values (95 % confidence interval [CI]) for WLE, NBIME, and A-NBIME diagnosis were 0.36 (0.33 - 0.39), 0.58 (0.54 - 0.61), and 0.62 (0.55 - 0.68) for experts and 0.31 (0.29 - 0.33), 0.36 (0.34 - 0.38), and 0.52 (0.48 - 0.56) for non-experts, showing good reproducibility of A-NBIME diagnosis regardless of proficiency. All experts and non-experts diagnosed the histologic types statistically more accurately with A-NBIME than with WLE and NBIME (P < 0.05). Overall the "experts-agreed" diagnostic accuracy (95 %CI) was 75.5 % (70.0 - 81.0) for WLE vs. 74.1 % (67.6 - 80.6) for NBIME vs. 90.5 % (86.7 - 94.1) for A-NBIME (P < 0.05). WLE and NBIME were insufficient to predict the diagnosis of adenomas and undifferentiated adenocarcinomas.
CONCLUSION: A-NBIME showed statistically significantly higher diagnostic accuracy for gastric mucosal neoplasms, with good reproducibility, compared with WLE and NBIME, which provided similar lower accuracy. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2015        PMID: 26158242     DOI: 10.1055/s-0034-1392542

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


  6 in total

1.  Usefulness of magnifying endoscopy with acetic acid and narrow-band imaging for the diagnosis of duodenal neoplasms: proposal of a diagnostic algorithm.

Authors:  Hiroshi Miura; Kyosuke Tanaka; Yuhei Umeda; Yohei Ikenoyama; Hiroki Yukimoto; Yasuhiko Hamada; Reiko Yamada; Junya Tsuboi; Misaki Nakamura; Masaki Katsurahara; Noriyuki Horiki; Hayato Nakagawa
Journal:  Surg Endosc       Date:  2022-04-21       Impact factor: 4.584

2.  Sporadic foveolar-type gastric adenoma with a raspberry-like appearance in Helicobacter pylori-naïve patients.

Authors:  Kotaro Shibagaki; Tsuyoshi Mishiro; Chika Fukuyama; Yusuke Takahashi; Ayako Itawaki; Saya Nonomura; Noritsugu Yamashita; Satoshi Kotani; Hironobu Mikami; Daisuke Izumi; Kousaku Kawashima; Norihisa Ishimura; Mamiko Nagase; Asuka Araki; Noriyoshi Ishikawa; Riruke Maruyama; Ryoji Kushima; Shunji Ishihara
Journal:  Virchows Arch       Date:  2021-05-27       Impact factor: 4.064

3.  Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging.

Authors:  Lan Li; Yishu Chen; Zhe Shen; Xuequn Zhang; Jianzhong Sang; Yong Ding; Xiaoyun Yang; Jun Li; Ming Chen; Chaohui Jin; Chunlei Chen; Chaohui Yu
Journal:  Gastric Cancer       Date:  2019-07-22       Impact factor: 7.370

4.  A Novel Deep Learning System for Diagnosing Early Esophageal Squamous Cell Carcinoma: A Multicenter Diagnostic Study.

Authors:  Dehua Tang; Lei Wang; Jingwei Jiang; Yuting Liu; Muhan Ni; Yiwei Fu; Huimin Guo; Zhengwen Wang; Fangmei An; Kaihua Zhang; Yanxing Hu; Qiang Zhan; Guifang Xu; Xiaoping Zou
Journal:  Clin Transl Gastroenterol       Date:  2021-08-04       Impact factor: 4.488

5.  Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks.

Authors:  Hirotoshi Takiyama; Tsuyoshi Ozawa; Soichiro Ishihara; Mitsuhiro Fujishiro; Satoki Shichijo; Shuhei Nomura; Motoi Miura; Tomohiro Tada
Journal:  Sci Rep       Date:  2018-05-14       Impact factor: 4.379

6.  Multicenter prospective study on the histological diagnosis of gastric cancer by narrow band imaging-magnified endoscopy with and without acetic acid.

Authors:  Takaaki Kishino; Tsuneo Oyama; Keita Funakawa; Eiji Ishii; Tetsuro Yamazato; Kotaro Shibagaki; Tadashi Miike; Tokuma Tanuma; Yasuharu Kuwayama; Manabu Takeuchi; Yoko Kitamura
Journal:  Endosc Int Open       Date:  2019-01-18
  6 in total

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