2型糖尿病的数据驱动腹部表型在瘦身,超重和肥胖群体中,来自计算机断层扫描
Lucas W Remedios1, Chloe Cho2, Trent M Schwartz3
1Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States.
Journal of medical imaging (Bellingham, Wash.)
|December 22, 2025
概括
身体组成,而不仅仅是BMI,揭示了2型糖尿病的风险. 脂肪骨肌肉是所有体重级别的关键指标,表明疾病的持续腹部驱动因素.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 身体质量指数 (BMI) 升高是2型糖尿病的已知危险因素.
- 然而,2型糖尿病发生在瘦身的人群中,在一些肥胖的人群中不存在,这表明有其他促成因素.
- 详细的身体组成分析可能会揭示与2型糖尿病风险相关的特定腹部表型.
研究的目的:
- 利用人工智能 (AI) 和计算机断层扫描 (CT) 进行详细的身体组成分析.
- 从3D临床成像中提取腹部器官,肌肉和脂肪储存的测量.
- 用大规模临床数据实证地定义与2型糖尿病风险和保护相关的身体组成特征.
主要方法:
- 利用了来自1728名被取消身份的患者的CT成像数据.
- 应用AI驱动的图像分割 (TotalSegmentator) 来提取88个腹部测量.
- 用SHapley添加式扩展 (SHAP) 训练了一种随机森林分类器,以确定关键预测因子及其对2型糖尿病风险的影响.
主要成果:
- 随机森林分类器在不同的BMI队列中实现了0.72-0.74的AUC.
- 确定的主要预测因素包括脂肪骨肌肉,年龄较大,内脏和皮下脂肪增加以及胰腺变化.
- 聚类揭示了在瘦身,超重和肥胖子组中明显的2型糖尿病丰富的腹部表现型.
结论:
- 2型糖尿病的腹部特征在瘦身,超重和肥胖个体中是一致的.
- 脂肪骨肌肉在瘦身和肥胖群体中都成为2型糖尿病的关键预测因素.
- 可解释的AI组件有助于清晰地解释2型糖尿病风险评估中的特征重要性.
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