{"title":"Diagnosis of early gastric cancer using image enhanced endoscopy: a systematic approach.","authors":"Masaki Miyaoka, Kenshi Yao, Hiroshi Tanabe, Takao Kanemitsu, Kensei Otsu, Kentaro Imamura, Yoichiro Ono, Satoshi Ishikawa, Tatsuhisa Yasaka, Toshiharu Ueki, Atsuko Ota, Seiji Haraoka, Akinori Iwashita","doi":"10.21037/tgh.2019.12.16","DOIUrl":null,"url":null,"abstract":"<p><p>This paper provides an overview of the principles of a vessel plus surface (VS) classification system to explain the diagnostic system of early gastric cancer using image-enhanced magnifying endoscopy. Furthermore, this paper introduces the magnifying endoscopy simple diagnostic algorithm for gastric cancer (MEADA-G) developed according to the VS classification system, with a description of the procedures performed for diagnosis. In addition to the diagnostic system, white opaque substance (WOS), light blue crest (LBC), white globe appearance (WGA), and vessels within epithelial circle (VEC) patterns, which are representative findings that can be observed in the gastric mucosa by image-enhanced magnifying endoscopy, are also described. Image-enhanced magnifying endoscopy is particularly useful in the diagnosis of differentiated-type early gastric cancer. It is important to use the appropriate clinical strategies based on a comprehensive understanding of the usefulness and limitations of the diagnostic system described in this paper.</p>","PeriodicalId":23267,"journal":{"name":"Translational gastroenterology and hepatology","volume":"5 ","pages":"50"},"PeriodicalIF":3.0000,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/tgh.2019.12.16","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational gastroenterology and hepatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/tgh.2019.12.16","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 12
Abstract
This paper provides an overview of the principles of a vessel plus surface (VS) classification system to explain the diagnostic system of early gastric cancer using image-enhanced magnifying endoscopy. Furthermore, this paper introduces the magnifying endoscopy simple diagnostic algorithm for gastric cancer (MEADA-G) developed according to the VS classification system, with a description of the procedures performed for diagnosis. In addition to the diagnostic system, white opaque substance (WOS), light blue crest (LBC), white globe appearance (WGA), and vessels within epithelial circle (VEC) patterns, which are representative findings that can be observed in the gastric mucosa by image-enhanced magnifying endoscopy, are also described. Image-enhanced magnifying endoscopy is particularly useful in the diagnosis of differentiated-type early gastric cancer. It is important to use the appropriate clinical strategies based on a comprehensive understanding of the usefulness and limitations of the diagnostic system described in this paper.
期刊介绍:
Translational Gastroenterology and Hepatology (Transl Gastroenterol Hepatol; TGH; Online ISSN 2415-1289) is an open-access, peer-reviewed online journal that focuses on cutting-edge findings in the field of translational research in gastroenterology and hepatology and provides current and practical information on diagnosis, prevention and clinical investigations of gastrointestinal, pancreas, gallbladder and hepatic diseases. Specific areas of interest include, but not limited to, multimodality therapy, biomarkers, imaging, biology, pathology, and technical advances related to gastrointestinal and hepatic diseases. Contributions pertinent to gastroenterology and hepatology are also included from related fields such as nutrition, surgery, public health, human genetics, basic sciences, education, sociology, and nursing.