Literature DB >> 29247549

A training program of a new simplified classification of magnified narrow band imaging for superficial esophageal squamous cell carcinoma.

Wen-Lun Wang1, Sherry Yueh-Hsia Chiu2,3, Ching-Tai Lee1, Cheng-Hao Tseng1, Chien-Chuan Chen4, Ming-Lun Han5, Chen-Shuan Chung6, Ping-Hsin Hsieh7, Wei-Lun Chang8, Ping-Hsiu Wu9, Wen-Hung Hsu10, Hsu-Heng Yen11, Hsiu-Po Wang4, Chi-Yang Chang1,12,13.   

Abstract

BACKGROUND AND AIM: Optimal staging of the invasion depth of superficial esophageal squamous cell carcinoma is vital before endoscopic treatment. A new simplified magnified narrow-band imaging (M-NBI) classification system based on vascular architecture has recently been developed by the Japan Esophageal Society; however, its validity remains uncertain.
METHODS: A total of 11 experienced and 11 inexperienced endoscopists were invited to join an endoscopic training program, which was composed of pretest, educational section, and post-test. The pretest and post-test sections included a set of endoscopic photos from 40 subjects with superficial esophageal squamous cell carcinoma with various invasion depths. Each subject appeared twice in the test, one with white-light imaging (WLI) only and the other with both WLI and M-NBI. The educational section included lectures and video demonstrations.
RESULTS: The accuracy of WLI alone and combined with M-NBI at baseline were 0.53, 0.57 and 0.43, 0.41 for the experienced and inexperienced endoscopists, respectively, which then improved to 0.57, 0.63 and 0.49, 0.52 after training. Inter-observer agreement (k-value) of WLI alone and combined WLI and M-NBI for the experienced and inexperienced endoscopists also improved from 0.61, 0.61, and 0.61, 0.53 to 0.68, 0.71, and 0.71, 0.59, respectively. Multivariate analysis revealed that the educational course but not experience in endoscopy, NBI, or magnification significantly improved the diagnostic accuracy. M-NBI had a significant additional benefit to WLI, with an improvement in accuracy from 36% to 56% for the cases with m3/sm1 cancers (P < 0.05).
CONCLUSIONS: A well-designed training program can improve the diagnostic accuracy in evaluating cancer invasion depth, with substantial agreement.
© 2017 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  accuracy; agreement; esophageal cancer; magnifying endoscopy; narrow band imaging; staging; white-light imaging

Mesh:

Year:  2018        PMID: 29247549     DOI: 10.1111/jgh.14071

Source DB:  PubMed          Journal:  J Gastroenterol Hepatol        ISSN: 0815-9319            Impact factor:   4.029


  4 in total

1.  Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study.

Authors:  M Everson; Lcgp Herrera; W Li; I Muntion Luengo; O Ahmad; M Banks; C Magee; D Alzoubaidi; H M Hsu; D Graham; T Vercauteren; L Lovat; S Ourselin; S Kashin; Hsiu-Po Wang; Wen-Lun Wang; R J Haidry
Journal:  United European Gastroenterol J       Date:  2019-01-06       Impact factor: 4.623

2.  Endoscopic Images by a Single-Shot Multibox Detector for the Identification of Early Cancerous Lesions in the Esophagus: A Pilot Study.

Authors:  Yao-Kuang Wang; Hao-Yi Syu; Yi-Hsun Chen; Chen-Shuan Chung; Yu Sheng Tseng; Shinn-Ying Ho; Chien-Wei Huang; I-Chen Wu; Hsiang-Chen Wang
Journal:  Cancers (Basel)       Date:  2021-01-17       Impact factor: 6.639

3.  MicroRNA Expression Profiles in Superficial Esophageal Squamous Cell Carcinoma before Endoscopic Submucosal Dissection: A Pilot Study.

Authors:  Shintaro Fujihara; Hideki Kobara; Noriko Nishiyama; Kayo Hirose; Hisakazu Iwama; Tsutomu Masaki
Journal:  Int J Mol Sci       Date:  2021-04-30       Impact factor: 5.923

4.  Additional effect of magnifying narrow-band imaging on estimating the invasion depth of superficial esophageal cancer.

Authors:  Minoru Kato; Yoshito Hayashi; Ryotaro Uema; Keiichi Kimura; Takanori Inoue; Akihiko Sakatani; Shunsuke Yoshii; Yoshiki Tsujii; Shinichiro Shinzaki; Hideki Iijima; Tetsuo Takehara
Journal:  JGH Open       Date:  2019-08-19
  4 in total

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