Quantitative analysis of the risk of type 2 diabetes and fatty liver in non-obese individuals by computed tomography

Abdom Radiol (NY). 2022 Jun;47(6):2099-2105. doi: 10.1007/s00261-022-03506-4. Epub 2022 Apr 7.

Abstract

Purpose: To explore the risk of fatty liver and type 2 diabetes with quantitative parameters of abdominal computed tomography (CT) in a non-obese population.

Methods: 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.

Results: 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.

Conclusion: Body width, liver CT value, and L/S ratio can be used to indicate the risk of type 2 diabetes in non-obese individuals.

Keywords: Body mass index (BMI); Computed tomography (CT); Fatty liver; Risk factors; Type 2 diabetes.

MeSH terms

  • Diabetes Mellitus, Type 2* / complications
  • Fatty Liver* / diagnostic imaging
  • Humans
  • Retrospective Studies
  • Tomography, X-Ray Computed