Research on the development of an imaging diagnosis support system for fresh osteoporotic vertebral fractures using AI technology

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K09437
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 56020:Orthopedics-related
• Research Institution: Osaka Metropolitan University (2022); Osaka City University (2020-2021)
• Principal Investigator: hoshino masatoshi 大阪公立大学, 大学院医学研究科, 客員研究員 (30748637)
• Co-Investigator(Kenkyū-buntansha): 高橋 真治 大阪公立大学, 大学院医学研究科, 病院講師 (80735605) ; 田淵 仁志 広島大学, 医系科学研究科(医), 寄附講座教授 (80364008)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 骨粗鬆症性椎体骨折 / 人工知能 / 画像診断

Outline of Final Research Achievements

The purpose of this study was to apply Artificial Intelligence (AI) technology to improve diagnostic imaging of fresh osteoporotic vertebral fracture (OVF), an important issue in the super-aging society. Using our OVF database, we have completed the development of an AI system for automatic detection of fresh OVF on MRI images and an AI system for prediction of OVF prognosis. We also applied AI technology to improve the accuracy of prognosis prediction, which has been a longstanding issue in OVF clinical research and succeeded in constructing a machine learning model.

Free Research Field

整形外科学

Academic Significance and Societal Importance of the Research Achievements

本研究で開発されたMRI画像に対する新鮮OVF自動検出AIシステムとOVF予後予測AIシステムは、世界初の試みであり、骨粗鬆症性骨折の中で最も頻度が高い椎体骨折の一般診療現場における診療成績の改善の一助となり、健康寿命延伸への寄与が期待できる。