ArticleAbdominal radiology (New York)2022
Quantitative analysis of the risk of type 2 diabetes and fatty liver in non-obese individuals by computed tomography.
Article in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Validation of voxel-based computed tomography liver fat quantification for assessing incident type 2 diabetes risk in a health check-up population.Quantitative imaging in medicine and surgery · 2026Article
- Characterization of individuals in whom body weight loss precedes diabetes onset: a retrospective, observational, longitudinal cohort study based on health checkup in Japan.Endocrine journal · 2026Observational
- Comparing ultrasound-derived fat fraction and CT for diagnosing hepatic steatosis: an MRI-PDFF reference study.Frontiers in medicine · 2026Article
- The cross-sectional area of erector spinae muscle and the liver-to-spleen ratio are associated with frailty in older patients with diabetes: a cross-sectional study.BMC geriatrics · 2023Article
- Current Knowledge on the Pathophysiology of Lean/Normal-Weight Type 2 Diabetes.International journal of molecular sciences · 2022Review
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7 authors.
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Abstract
purposeTo explore the risk of fatty liver and type 2 diabetes with quantitative parameters of abdominal computed tomography (CT) in a non-obese population.
methodsA 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.
resultsThree 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.
conclusionBody width, liver CT value, and L/S ratio can be used to indicate the risk of type 2 diabetes in non-obese individuals.
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