Tang Yi, Wei Ze-Min, Li Ning, Sun Lin-Lin, Jin Zheng-Yu, Wu Zhe, Sun Hao
Department of Endocrinology, Fushun Central Hospital, Fushun, 113006, Liaoning Province, China.
Department of Radiology, Fushun Central Hospital, Fushun, 113006, Liaoning Province, China.
Abdom Radiol (NY). 2022 Jun;47(6):2099-2105. doi: 10.1007/s00261-022-03506-4. Epub 2022 Apr 7.
To explore the risk of fatty liver and type 2 diabetes with quantitative parameters of abdominal computed tomography (CT) in a non-obese population.
A retrospective analysis of abdominal CT and hospitalization records of inpatients admitted from May 2019 to May 2021 were divided into a non-obese control group (n = 143 cases) and a non-obese diabetes group (n = 105 cases). The measured abdominal CT parameters included body width, liver and spleen CT values, and the ratio of the liver CT value to the spleen CT value (L/S ratio). Logistic regression was used to analyze the risk factors for diabetes in non-obese individuals.
Three variables including body width (P < 0.001), liver CT value (P = 0.013), and L/S ratio (P = 0.002) were significantly correlated with the presence of diabetes in non-obese individuals.
Body width, liver CT value, and L/S ratio can be used to indicate the risk of type 2 diabetes in non-obese individuals.
探讨非肥胖人群中腹部计算机断层扫描(CT)定量参数与脂肪肝和2型糖尿病的风险。
对2019年5月至2021年5月住院患者的腹部CT和住院记录进行回顾性分析,分为非肥胖对照组(n = 143例)和非肥胖糖尿病组(n = 105例)。测量的腹部CT参数包括体宽、肝脏和脾脏CT值以及肝脏CT值与脾脏CT值之比(L/S比)。采用逻辑回归分析非肥胖个体患糖尿病的危险因素。
包括体宽(P < 0.001)、肝脏CT值(P = 0.013)和L/S比(P = 0.002)在内的三个变量与非肥胖个体患糖尿病显著相关。
体宽、肝脏CT值和L/S比可用于指示非肥胖个体患2型糖尿病的风险。