Establishment of novel screening strategy predicting risk of colorectal cancer using artificial intelligence

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K08015
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 53010:Gastroenterology-related
• Research Institution: Tokai University (2022-2023); Keio University (2021)
• Principal Investigator: INOUE Nagamu 東海大学, 医学部, 准教授 (00232546)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 大腸癌検診 / AI / メタボリック症候群

Outline of Final Research Achievements

The incidence and mortality of colorectal cancer are increasing in Japan, and a relationship with lifestyle and metabolic factors has been suggested. In this study, we targeted the occurrence of adenomatous lesions, which are considered to be precancerous lesions, and examined risk factors using health examination data from comprehensive medical checkups.
Colorectal adenomatous lesions (CRN) were observed in 11.8% of the cases, and 24.4% had metabolic syndrome (Mets), and Mets and CRN were significantly correlated. In multivariate analysis, age, smoking, alcohol consumption, obesity, hypertension, and dyslipidemia were independent risk factors. This study revealed that age, metabolic factors, and smoking and drinking habits may be risk factors for the development of colorectal tumors.

Free Research Field

消化管疾患

Academic Significance and Societal Importance of the Research Achievements

本邦における大腸癌の発生と生活習慣との関係性について明らかにすることで、①予測モデルを作成することにより大腸癌ハイリスク群を絞り込み、大腸内視鏡による効率的な大腸癌スクリーニングシステムが確立され、より治療可能な段階での早期発見が期待される、②どのような生活習慣に留意すべきかが明らかとなり、長期的に生活習慣の是正を具体的に指導することにより大腸癌発生を抑えることが可能となる。以上の2点から日本における大腸癌の死亡率、罹患率を低下させることが期待される。