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Toshiaki Hirasawa 2 Articles
Application of artificial intelligence for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging
Yusuke Horiuchi, Toshiaki Hirasawa, Junko Fujisaki
Clin Endosc 2024;57(1):11-17.   Published online January 5, 2024
DOI: https://doi.org/10.5946/ce.2023.173
AbstractAbstract PDFPubReaderePub
Although magnifying endoscopy with narrow-band imaging is the standard diagnostic test for gastric cancer, diagnosing gastric cancer using this technology requires considerable skill. Artificial intelligence has superior image recognition, and its usefulness in endoscopic image diagnosis has been reported in many cases. The diagnostic performance (accuracy, sensitivity, and specificity) of artificial intelligence using magnifying endoscopy with narrow band still images and videos for gastric cancer was higher than that of expert endoscopists, suggesting the usefulness of artificial intelligence in diagnosing gastric cancer. Histological diagnosis of gastric cancer using artificial intelligence is also promising. However, previous studies on the use of artificial intelligence to diagnose gastric cancer were small-scale; thus, large-scale studies are necessary to examine whether a high diagnostic performance can be achieved. In addition, the diagnosis of gastric cancer using artificial intelligence has not yet become widespread in clinical practice, and further research is necessary. Therefore, in the future, artificial intelligence must be further developed as an instrument, and its diagnostic performance is expected to improve with the accumulation of numerous cases nationwide.

Citations

Citations to this article as recorded by  
  • Combination of artificial intelligence endoscopic diagnosis and Kimura‐Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post‐eradication status
    Kumiko Kirita, Seiji Futagami, Ken Nakamura, Shuhei Agawa, Nobue Ueki, Kazutoshi Higuchi, Mayu Habiro, Rie Kawawa, Yusuke Kato, Tomohiro Tada, Katsuhiko Iwakiri
    DEN Open.2025;[Epub]     CrossRef
  • Identification and validation of serum MUC17 as a non‐invasive early warning biomarker for screening of gastric intraepithelial neoplasia
    Bingxue Yang, Xiaoli Xie, Xiaoxu Jin, Xiuhong Huang, Yujian He, Kaige Yin, Chenguang Ji, Li Liu, Zhijie Feng
    Translational Oncology.2025; 51: 102207.     CrossRef
  • Pitfalls in Endoscopic Submucosal Dissection for Early Gastric Cancer with Papillary Adenocarcinoma
    Gwang Ha Kim
    Gut and Liver.2024; 18(3): 368.     CrossRef
  • 3,563 View
  • 225 Download
  • 1 Web of Science
  • 3 Crossref
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Exploring quality indicators for the detection of Helicobacter pylori-naïve gastric cancer: a cross-sectional nationwide survey
Fumiaki Ishibashi, Toshiaki Hirasawa, Hiroya Ueyama, Yohei Minato, Sho Suzuki
Clin Endosc 2023;56(4):460-469.   Published online April 4, 2023
DOI: https://doi.org/10.5946/ce.2022.167
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReaderePub
Background
/Aims: Diagnosis of Helicobacter pylori-naïve gastric cancer (HPNGC) is becoming increasingly important. This study aimed to explore the quality indicators for HPNGC detection.
Methods
We conducted a cross-sectional, nationwide, web-based survey of gastrointestinal endoscopists in Japan. In addition to questions about the number of HPNGC cases detected in a year and basic information, the questionnaire also consisted of 28 questions: (1) 18 about HPNGC awareness, (2) six about diagnostic proactiveness, and (3) four about interest in HPNGC.
Results
Valid responses were obtained from 712 endoscopists. The Japan Gastroenterological Endoscopy Society-certified endoscopists had a significantly higher HPNGC detection rate than the nonspecialists (0.42% vs. 0.32%, respectively; p=0.008). The results of the multiple regression analysis showed that Japan Gastroenterological Endoscopy Society certification and high awareness and interest scores were independent predictors of the HPNGC detection rate (p=0.012, p<0.001, p=0.024, respectively). Principal component analysis showed that the endoscopists who attended conferences for collecting information on HPNGC had a higher level of awareness.
Conclusions
To improve the detection of HPNGC, it is necessary to increase the awareness of the disease. It is hoped that relevant societies will play an important role in endoscopists’ education.

Citations

Citations to this article as recorded by  
  • Prevalence of Gastric Epithelial Tumors in Helicobacter pylori-uninfected Individuals Undergoing a Medical Checkup
    Eiko Okimoto, Kyoichi Adachi, Yuri Ebisutani, Norihisa Ishimura, Shunji Ishihara
    Internal Medicine.2024; 63(16): 2251.     CrossRef
  • A mathematical simulation model to determine the optimal endoscopic screening strategy for detection of H. pylori-naïve gastric neoplasms
    Fumiaki Ishibashi, Kosuke Okusa, Yoshitaka Tokai, Toshiaki Hirasawa, Tomohiro Kawakami, Kentaro Mochida, Yuka Yanai, Chizu Yokoi, Yuko Hayashi, Shun-ichiro Ozawa, Koji Uraushihara, Yohei Minato, Hiroyuki Nakanishi, Hiroya Ueyama, Mikinori Kataoka, Yuzo To
    Gastric Cancer.2024; 27(5): 1078.     CrossRef
  • Improving the quality of the esophagogastroduodenoscopy in Helicobacter pylori-naïve gastric cancer
    Jae Myung Park
    Clinical Endoscopy.2023; 56(4): 453.     CrossRef
  • 3,189 View
  • 140 Download
  • 3 Web of Science
  • 3 Crossref
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