Early gastric cancer detection in high-risk patients: a multicentre randomised controlled trial on the effect of second-generation narrow band imaging

• Yoshida, Naohiro

• Doyama, Hisashi

• Yano, Tomonori

• Horimatsu, Takahiro

• Uedo, Noriya

• Yamamoto, Yoshinobu

• Kakushima, Naomi

• Kanzaki, Hiromitsu

• Hori, Shinichiro

• Yao, Kenshi

• Oda, Ichiro

• Katada, Chikatoshi

• Yokoi, Chizu

• Ohata, Ken

• Yoshimura, Kenichi

• Ishikawa, Hideki

• Muto, Manabu

Abstract

Objective: Early detection of gastric cancer has been the topic of major efforts in high prevalence areas. Whether advanced imaging methods, such as second-generation narrow band imaging (2G-NBI) can improve early detection, is unknown. Design: This open-label, randomised, controlled tandem trial was conducted in 13 hospitals. Patients at increased risk for gastric cancer were randomly assigned to primary white light imaging (WLI) followed by secondary 2G-NBI (WLI group: n=2258) and primary 2G-NBI followed by secondary WLI (2G-NBI group: n=2265) performed by the same examiner. Suspected early gastric cancer (EGC) lesions in both groups were biopsied. Primary endpoint was the rate of EGC patients in the primary examination. The main secondary endpoint was the positive predictive value (PPV) for EGC in suspicious lesions detected (primary examination). Results: The overall sensitivity of primary endoscopy for the detection of EGC in high-risk patients was only 75% and should be improved. 2G-NBI did not increase EGC detection rate over conventional WLI. The impact of a slightly better PPV of 2G-NBI has to be evaluated further. Trial registration number: UMIN000014503.

Journal

• Gut

  Gut 70 (1), 67-75, 2021-01

  BMJ

Keywords

• endoscopy
• gastric cancer
• screening
• surveillance

Details

• CRID: 1050287685056605056
• NII Article ID: 120006940272
• NII Book ID: AA00660592
• ISSN: 00175749
• ISSN: 14683288
• DOI: 10.1136/gutjnl-2019-319631
• HANDLE: 2433/259799
• Web Site: https://syndication.highwire.org/content/doi/10.1136/gutjnl-2019-319631
• Text Lang: en
• Article Type: journal article
• Data Source:
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN