Fracture risk assessment study related to lifestyle based on CT lung cancer screening and medical examination data

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K08122
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: University of Occupational and Environmental Health, Japan
• Principal Investigator: Aoki Takatoshi 産業医科大学, 医学部, 教授 (40299631)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: CT / 骨折 / 検診 / 生活習慣病 / 骨密度

Outline of Final Research Achievements

Osteoporosis is defined as a systemic skeletal disease characterized by low bone mass and micro-architectural deterioration of bone tissue leading to bone fragility, The aim of this study is to investigate whether vertebral fracture (VF) can be predicted by CT-based quantifications using long-termed CT lung cancer screening data. The CT-derived quantifications for bone health included CT-derived BMD, COPD related metrics, visceral adipose tissue, muscle size/attenuation. Demographic and clinical data (age, BMI, HbA1c, smoking index, and pulmonary functional test parameter (FEV%) were retrospectively evaluated, and the correlation between these demographic/clinical data and VFs was assessed statistically. On multivariate analysis, age, CT-BMD, and COPD related CT metrics were the independent risk factors for VF (p < 0.01). Based on our data from CT lung cancer screening beyond 10 years, combined CT-derived quantifications would help the discrimination of patients at risk for VF.

Free Research Field

放射線科学

Academic Significance and Societal Importance of the Research Achievements

本研究によって、年齢とCTデータから得られる骨密度および肺野のCT定量的データの組み合わせによって精度の高い骨折リスク評価法を確立できる可能性が示唆された。生活習慣病が骨折リスク因子であることを考慮した新たな骨折リスク評価法の確立によって、骨折予防対策を行うべき対象を効率よく絞り込むことができ、これまでよりも正確な薬物治療開始の判断が可能になると考える。