Quantitative imaging in medicine and surgery · 2026
Association between CT-based adrenal gland volume and 10-year cardiovascular disease risk in patients with diabetes mellitus.
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Li Caihong, Chen Xiangjun, Li Yi, Yang Shumin, Hu Jinbo, Deng Haiqin, Mo Xue, Mao Yun
Аннотация
BACKGROUND: Hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis is an independent risk factor for cardiovascular disease (CVD). Adrenal gland volume reflects disturbances in glucose-lipid metabolism and HPA axis activity, but its relationship with CVD risk remains unclear. This study aimed to investigate the association between adrenal gland volume and estimated 10-year CVD risk in patients with diabetes mellitus (DM).
METHODS: A total of 223 patients with DM (30-74 years) without prior CVD were retrospectively included. Adrenal gland volume was measured from non-contrast computed tomography (CT) images using a three-dimensional no new U-net (nnU)-Net deep learning algorithm. The 10-year CVD risk was estimated using the Framingham Risk Score (FRS) and categorized into low-to-intermediate risk (<20%) and high risk (≥20%) groups. Spearman correlation and multivariable linear regression were used to assess the associations of volume with metabolic parameters and the FRS, whereas multivariable binary logistic regression evaluated its association with high CVD risk. Receiver operating characteristic (ROC) curve analysis determined the predictive performance of volume for high CVD risk.
RESULTS: In multivariable linear regression, total volume was positively associated with male sex (P=0.036), waist circumference (P=0.044), and hypertension (P=0.012), and negatively associated with high-density lipoprotein cholesterol (HDL-C; P=0.020). After adjustment for confounders, total volume remained significantly correlated with FRS [β=0.085, 95% confidence interval (CI): 0.003-0.168, P=0.042]. Volume was significantly larger in the high risk group compared to the low-to-intermediate risk group (P<0.001). Moreover, volume was independently associated with high CVD risk [left: odds ratio (OR) =1.777, 95% CI: 1.179-2.959; right: OR =2.053, 95% CI: 1.239-3.899; total: OR =1.467, 95% CI: 1.139-2.021]. The area under the curve (AUC) for total volume in predicting high CVD risk was 0.713 (95% CI: 0.643-0.783). At the optimal cut-off value of 9.04 cm3, the sensitivity and specificity were 70.3% and 61.3%, respectively.
CONCLUSIONS: Adrenal gland volume is independently associated with high estimated 10-year CVD risk in patients with diabetes and may potentially provide imaging-based support for the early identification of high-risk individuals.
METHODS: A total of 223 patients with DM (30-74 years) without prior CVD were retrospectively included. Adrenal gland volume was measured from non-contrast computed tomography (CT) images using a three-dimensional no new U-net (nnU)-Net deep learning algorithm. The 10-year CVD risk was estimated using the Framingham Risk Score (FRS) and categorized into low-to-intermediate risk (<20%) and high risk (≥20%) groups. Spearman correlation and multivariable linear regression were used to assess the associations of volume with metabolic parameters and the FRS, whereas multivariable binary logistic regression evaluated its association with high CVD risk. Receiver operating characteristic (ROC) curve analysis determined the predictive performance of volume for high CVD risk.
RESULTS: In multivariable linear regression, total volume was positively associated with male sex (P=0.036), waist circumference (P=0.044), and hypertension (P=0.012), and negatively associated with high-density lipoprotein cholesterol (HDL-C; P=0.020). After adjustment for confounders, total volume remained significantly correlated with FRS [β=0.085, 95% confidence interval (CI): 0.003-0.168, P=0.042]. Volume was significantly larger in the high risk group compared to the low-to-intermediate risk group (P<0.001). Moreover, volume was independently associated with high CVD risk [left: odds ratio (OR) =1.777, 95% CI: 1.179-2.959; right: OR =2.053, 95% CI: 1.239-3.899; total: OR =1.467, 95% CI: 1.139-2.021]. The area under the curve (AUC) for total volume in predicting high CVD risk was 0.713 (95% CI: 0.643-0.783). At the optimal cut-off value of 9.04 cm3, the sensitivity and specificity were 70.3% and 61.3%, respectively.
CONCLUSIONS: Adrenal gland volume is independently associated with high estimated 10-year CVD risk in patients with diabetes and may potentially provide imaging-based support for the early identification of high-risk individuals.