Prediction of Recurrence of Liver Cancer by a Discrete Bayes Decision Rule for Personalized Medicine

• Project/Area Number: 15K00238
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Perceptual information processing
• Research Institution: Yamaguchi University
• Principal Investigator: HAMAMOTO YOSHIHIKO 山口大学, 大学院創成科学研究科, 教授 (90198820)
• Co-Investigator(Kenkyū-buntansha): 飯塚 徳男 広島大学, 医歯薬保健学研究科(薬), 教授 (80332807) ; 藤田 悠介 山口大学, 大学院創成科学研究科, 准教授 (40509527)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000); Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• Keywords: パターン認識 / 癌 / 診断

Outline of Final Research Achievements

The refractory problem lies in the high percentage of recurrence of liver cancer: about 30% of postoperative patients experience recurrence within one year. The purpose of this study is to distinguish between the presence and absence of recurrence with a high degree of accuracy by using our discrete Bayes decision rule that can handle discrete data. Discrimination performance of the discrete Bayes decision rule using the optimal combination of markers against test samples showed a sensitivity of 86% and specificity of 49%. Moreover, the discrete Bayes decision rule was applied to diagnose lymph node metastasis for early gastric cancer. The proposed method was able to differentiate lymph node metastasis with 100% sensitivity and 86% specificity. These results suggest that the proposed method might lead to clinical applications.

Research Products

• [Journal Article] Lymph node metastasis can be determined by just tumor depth and lymphovascular invasion in early gastric cancer patients after endoscopic submucosal dissection (2017)
  • Author(s): A. Goto, J. Nishikawa, E. Hideura, R. Ogawa, M. Nagao, S. Sasaki, R. Kawasato, S. Hashimoto, T. Okamoto, H. Ogihara, Y. Hamamoto and I. Sakaida
  • Journal Title: European Journal of Gastroenterology & Hepatology Volume: 29 Issue: 12 Pages: 1346-1350
  • DOI: 10.1097/meg.0000000000000987
  • Peer Reviewed / Open Access
• [Journal Article] Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine (2016)
  • Author(s): H. Ogihara, N. Iizuka, Y. Hamamoto
  • Journal Title: BioMed Research International Volume: 2016 Pages: 1-10
  • DOI: 10.1155/2016/8567479
  • Peer Reviewed
• [Patent(Industrial Property Rights)] 情報処理装置と情報処理プログラム並びに情報処理方法 (2016)
  • Inventor(s): 浜本 義彦、荻原宏是、飯塚徳男、爲佐 卓夫、岡 正朗
  • Industrial Property Rights Holder: 山口大学
  • Industrial Property Rights Type: 特許
  • Filing Date: 2016-02-26
  • Acquisition Date: 2016-11-18
• [Patent(Industrial Property Rights)] 情報処理装置と情報処理プログラム並びに情報処理方法 (2016)
  • Inventor(s): 浜本義彦、荻原宏是、飯塚徳男、爲佐卓夫、岡 正朗
  • Industrial Property Rights Holder: 山口大学
  • Industrial Property Rights Type: 特許
  • Industrial Property Number: 2016-035605
  • Filing Date: 2016-02-26