在2型糖尿病中,通过计算机断层扫描的机器学习评估的肝脏和腹部脂肪
Richard H Tran1,2, Pavan Raghupathy1, Mohamad Hazim1
1Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Diabetes, obesity & metabolism
|February 18, 2026
概括
计算机断层扫描 (CT) 扫描显示,肝脏肥胖和内脏脂肪与2型糖尿病有关. 内脏与皮下比率 (VSR) 是糖尿病风险的强有力的指标,可能超过BMI.
科学领域:
- 放射学和医学成像学 医学成像学
- 内分泌学和新陈代谢学
- 计算生物学 计算生物学
背景情况:
- 腹部成像特征和2型糖尿病之间的关系尚未完全理解.
- 来自计算机断层扫描 (CT) 扫描的腹部成像表型提供了对代谢疾病的潜在见解.
研究的目的:
- 用CT扫描研究多个腹部成像表型与2型糖尿病之间的关联.
- 评估深度学习衍生的图像表型在表征糖尿病相关的代谢变化的实用性.
主要方法:
- 使用深度学习算法来量化来自腹部CT扫描的图像衍生的表型,包括肝硬化症 (HS),肝脏和脏体积,内脏脂肪组织 (VAT),皮下脂肪组织 (SAT) 和内脏与皮下脂肪组织的比率 (VSR).
- 分析包括来自多种生物库的1594名患者,糖尿病状况由HbA1c水平决定.
- 进行了根据年龄,性别,种族和BMI进行调整的多变量分析.
主要成果:
- 与非糖尿病患者相比,糖尿病患者表现出明显更高的HS (SHAD),肥胖症流行率和VSR.
- 在调整后的分析中,糖尿病与HS (SHAD),肝体积 (SV) 和VSR独立相关.
- 内脏与皮下比率 (VSR) 与糖尿病的相关性比BMI更强.
结论:
- 在CT扫描中发现的肝硬化,肝壮和内脏脂肪与2型糖尿病有关.
- 肝脏的变化可能会影响脏在糖尿病中的作用.
- 在评估糖尿病风险方面,VSR是传统肥胖指标的一个有希望的替代指标.
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