ArticlePloS one2021
Fully automated waist circumference measurement on abdominal CT: Comparison with manual measurements and potential value for identifying overweight and obesity as an adjunct output of CT scan.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 18 citations in OpenAlex.
- Abdominal waist circumference and subcutaneous adipose tissue thickness predicts development of post-transplant diabetes mellitus.International urology and nephrology · 2026Article
- Abdominal Waist Circumference and Subcutaneous Adipose Tissue Thickness Predicts Development of Post-Transplant Diabetes Mellitus.Research square · 2026Article
- Predictive factors for spontaneous dislodgement of percutaneous nephrostomies for malignant ureteral obstruction.Abdominal radiology (New York) · 2025Article
- Body composition as a potential biomarker of recurrence risk in patients with triple-negative breast cancer.Breast cancer research and treatment · 2025Article
- Visceral obesity anthropometric indicators as predictors of acute pancreatitis severity.Frontiers in medicine · 2025Article
- Detection of body shape changes in obesity monitoring using image processing techniques.Scientific reports · 2024Article
- Association of central sensitization, visceral fat, and surgical outcomes in lumbar spinal stenosis.Journal of orthopaedic surgery and research · 2023Article
- CT-Derived Deep Learning-Based Quantification of Body Composition Associated with Disease Severity in Chronic Obstructive Pulmonary Disease.Journal of the Korean Society of Radiology · 2023Article
- Newly developed sarcopenia after liver transplantation, determined by a fully automated 3D muscle volume estimation on abdominal CT, can predict post-transplant diabetes mellitus and poor survival outcomes.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Gender-Based Association of Coronary Artery Calcification and Framingham Risk Score With Non-alcoholic Fatty Liver Disease and Abdominal Obesity in Taiwanese Adults, a Cross-Sectional Study.Frontiers in cardiovascular medicine · 2022Article
- The role of comorbid hypertriglyceridemia and abdominal obesity in the severity of acute pancreatitis: a retrospective study.Lipids in health and disease · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWaist circumference (WC) is a widely accepted anthropometric parameter of central obesity. We investigated a fully automated body segmentation algorithm for measuring WC on abdominal computed tomography (CT) in comparison to manual WC measurements (WC-manual) and evaluated the performance of CT-measured WC for identifying overweight/obesity. MATERIALS AND
methodsThis retrospective study included consecutive adults who underwent both abdominal CT scans and manual WC measurements at a health check-up between January 2013 and November 2019. Mid-waist WCs were automatically measured on noncontrast axial CT images using a deep learning-based body segmentation algorithm. The associations between CT-measured WC and WC-manual was assessed by Pearson correlation analysis and their agreement was assessed through Bland-Altman analysis. The performance of these WC measurements for identifying overweight/obesity (i.e., body mass index [BMI] ≥25 kg/m2) was evaluated using receiver operating characteristics (ROC) curve analysis.
resultsAmong 763 subjects whose abdominal CT scans were analyzed using a fully automated body segmentation algorithm, CT-measured WCs were successfully obtained in 757 adults (326 women; mean age, 54.3 years; 64 women and 182 men with overweight/obesity). CT-measured WC was strongly correlated with WC-manual (r = 0.919, p < 0.001), and showed a mean difference of 6.1 cm with limits of agreement between -1.8 cm and 14.0 cm in comparison to WC-manual. For identifying overweight/obesity, CT-measured WC showed excellent performance, with areas under the ROC curve (AUCs) of 0.960 (95% CI, 0.933-0.979) in women and 0.909 (95% CI, 0.878-0.935) in men, which were comparable to WC-manual (AUCs of 0.965 [95% CI, 0.938-0.982] and 0.916 [95% CI, 0.886-0.941]; p = 0.735 and 0.437, respectively).
conclusionCT-measured WC using a fully automated body segmentation algorithm was closely correlated with manually-measured WC. While radiation issue may limit its general use, it can serve as an adjunctive output of abdominal CT scans to identify overweight/obesity.
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