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

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. [GRAPHICS] .

Automated summary

This study explored the risk of fatty liver and type 2 diabetes in a non-obese population using quantitative parameters from abdominal CT scans. The results showed that body width, liver CT value, and L/S ratio were significantly correlated with the presence of diabetes in non-obese individuals.