Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligence

• Project/Area Number: 17K15972
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Gastroenterology
• Research Institution: Showa University
• Principal Investigator: Ichimasa Katsuro 昭和大学, 医学部, 助教 (90595612)
• Project Period (FY): 2017-04-01 – 2019-03-31
• Project Status: Completed (Fiscal Year 2018)
• Budget Amount: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000); Fiscal Year 2018: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000); Fiscal Year 2017: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
• Keywords: 早期大腸癌 / 転移 / 人工知能 / リンパ節転移 / 大腸T1癌 / 癌

Outline of Final Research Achievements

We developed an AI model that predicts the presence of lymph node metastasis in early colorectal cancers and validate it. Compared with the current guidelines, AI significantly reduced unnecessary additional surgery after endoscopic resection of early colorectal cancers without missing lymph node metastasis positivity. AI will help in making decisions as to whether additional surgery is indicated after endoscopic resection of early colorectal cancers.
We have published these results in the journal of endoscopy in Europe and have reported in medical conferences in Japan, Europe and USA.

Academic Significance and Societal Importance of the Research Achievements

早期大腸癌のリンパ節転移の有無を正確に予測し得る人工知能ソフトウェアの開発により、理論上、転移の可能性の少ない手術症例を選別でき、不要な外科手術を減らせることが示された。これにより外科手術ではなく内視鏡治療のみで治療を完結できる症例数の増加が見込め、低侵襲医療の提供および医療費削減の実現に貢献しうる可能性を見出せた。

Research Products

• [Journal Article] Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer (2018)
  • Author(s): Katsuro Ichimasa, Shin-ei Kudo, Yuichi Mori, Masashi Misawa, Shingo Matsudaira, Yuta Kouyama, Toshiyuki Baba, Eiji Hidaka, Kunihiko Wakamura, Takemasa Hayashi, Toyoki Kudo, Tomoyuki Ishigaki, Yusuke Yagawa, Hiroki Nakamura, Kenichi Takeda, Amyn Haji, Shigeharu Hamatani, Kensaku Mori, Fumio Ishida, Hideyuki Miyachi
  • Journal Title: Endoscopy Volume: 50 Issue: 03 Pages: 230-240
  • DOI: 10.1055/s-0043-122385
  • Peer Reviewed / Int'l Joint Research
• [Presentation] AIによる大腸T1癌リンパ節転移予測～ガイドラインを超える個別化治療への挑戦～ (2018)
  • Author(s): 一政克朗
  • Organizer: 第88回大腸癌研究会
• [Presentation] 人工知能（AI）による大腸T1癌治療戦略 正確なリンパ節転移予測への挑戦 (2018)
  • Author(s): 一政克朗
  • Organizer: 内視鏡学会総会
• [Presentation] Artificial intelligence is a powerful tool to determine the need for additional surgery after endoscopic resection of T1 colorectal cancer analysis based on a big data for machine learning (2018)
  • Author(s): Katsuro Ichimasa
  • Organizer: DDW 2018
  • Int'l Joint Research
• [Presentation] Artificial intelligence can determine the need for additional surgery after endoscopic resection of t1 colorectal cancer: analysis based on big data for machine learning (2018)
  • Author(s): Katsuro Ichimasa
  • Organizer: UEGW 2018
  • Int'l Joint Research
• [Presentation] AIによる大腸T1癌リンパ節転移予測～ガイドラインを超える個別化治療への挑戦～ (2018)
  • Author(s): 一政克朗
  • Organizer: 大腸癌研究会
• [Presentation] 人工知能（AI）による大腸T1癌のリンパ節転移予測 (2017)
  • Author(s): 一政克朗
  • Organizer: JDDW2017
• [Presentation] Artificial intelligence can accurately predict the presence of lymph node metastasis in pT1 colorectal cancers (2017)
  • Author(s): 一政克朗
  • Organizer: DDW2017
  • Int'l Joint Research
• [Presentation] Artificial intelligence can predict the presence of lymph node metastasis in T1 colorectal cancer (2017)
  • Author(s): 一政克朗
  • Organizer: UEGW2017
  • Int'l Joint Research