ArticleThe British journal of radiology2018
Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort.
Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Precision or Paradox? AI-Driven Adiposity Imaging in Women With Overweight and Obesity: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026Article
- Longitudinal evaluation of intra-patient changes in computed tomography-based body composition measures.Abdominal radiology (New York) · 2026Article
- Exploring Adipose Tissue Behavior in CT: Impact of Age, Sex, and Contrast Media on Body Composition, Liver and Skeletal Muscle.Journal of imaging · 2026Article
- Optimizing CT-Based Models for Predicting Whole-Body Fat in Rabbits.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026Article
- Influence of obesity on breast cancer development in relation to menopausal status (Review).Molecular and clinical oncology · 2026Review
- Automated CT-Based Muscle Density Predicts Mortality Regardless of Muscle Area.Journal of cachexia, sarcopenia and muscle · 2026Article
- Obesity and melanoma: unraveling the paradoxical survival benefit in immunotherapy.Cancer metastasis reviews · 2026Review
- Ratio of visceral-to-subcutaneous fat area improves long-term mortality prediction over either measure alone: automated CT-based AI measures with longitudinal follow-up in a large adult cohort.Abdominal radiology (New York) · 2026Article
- Automated CT-based visceral fat density predicts mortality regardless of visceral fat area.The British journal of radiology · 2026Article
- Article
- Opportunistic computed tomography assessment of bone, muscle, and adipose tissue: evidence, limitations, and clinical translation.Frontiers in medicine · 2026Review
- Tumor-Derived Polyamines Initiate Fat Wasting in Cancer Cachexia.bioRxiv : the preprint server for biology · 2025Article
- Implementation of Fully Automated AI-Integrated System for Body Composition Assessment on Computed Tomography for Opportunistic Sarcopenia Screening: Multicenter Prospective Study.JMIR formative research · 2025Article
- Comparing fully automated AI body composition biomarkers at differing virtual monoenergetic levels using dual-energy CT.Abdominal radiology (New York) · 2025Article
- Visceral fat: the hidden culprit behind thoracolumbar surgery infections.Frontiers in surgery · 2025Article
- Exploring the link between visceral fat and cardiovascular disease in type 2 diabetes: evidence from ct measurements.Frontiers in endocrinology · 2025Article
- AI-based abdominal CT measurements of orthotopic and ectopic fat predict mortality and cardiometabolic disease risk in adults.European radiology · 2025Article
- Effects of time-restricted feeding (TRF)-model of intermittent fasting on adipose organ: a narrative review.Eating and weight disorders : EWD · 2024Review
- Drug-induced Steatohepatitis Caused by Long-term Use of Topical Steroids for Atopic Dermatitis.Internal medicine (Tokyo, Japan) · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo investigate a fully automated CT-based adiposity tool, applying it to a longitudinal adult screening cohort.
methodsA validated automated adipose tissue segmentation algorithm was applied to non-contrast abdominal CT scans in 8852 consecutive asymptomatic adults (mean age, 57.1 years; 3926 M/4926 F) undergoing colonography screening. The tool was also applied to follow-up CT scans in a subset of 1584 individuals undergoing longitudinal surveillance (mean interval, 5.6 years). Visceral and subcutaneous adipose tissue (VAT and SAT) volumes were segmented at levels T12-L5. Primary adipose results are reported herein for the L1 level as mean cross-sectional area. CT-based adipose measurements at initial CT and change over time were analyzed.
resultsMean VAT values were significantly higher in males (205.8 ± 107.5 vs 108.1 ± 82.4 cm
conclusionThis robust, fully automated CT adiposity tool allows for both individualized and population-based assessment of visceral and subcutaneous abdominal fat. Such data could be automatically derived at abdominal CT regardless of the study indication, potentially allowing for opportunistic cardiovascular risk stratification. Advances in knowledge: The CT-based adiposity tool described herein allows for fully automated measurement of visceral and subcutaneous abdominal fat, which can be used for assessing cardiovascular risk, metabolic syndrome, and for change over time.
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