ArticleInsights into imaging2023
CT analysis of thoracolumbar body composition for estimating whole-body composition.
Article in Insights into imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Volumetric assessment from L2 to L4 improves the reliability and validity of body composition by CT.European journal of radiology · 2026Article
- Thymic hyperplasia in patients with acromegaly: imaging-based assessment and clinical implications.Archives of endocrinology and metabolism · 2026Article
- Body composition's effect on the bone-vascular axis of osteoporosis discovered in AI-based CT analysis of COPD patients.European radiology · 2026Observational
- Prognostic value of automated computed tomography body composition in hepatocellular carcinoma: a volumetric versus single-slice comparison.Journal of liver cancer · 2026Article
- Low CT-Derived Thoracic Muscle Area and Composite Weaning Failure in Mechanically Ventilated ICU Patients with Pneumonia: An Exploratory Analysis by Age Group.Journal of clinical medicine · 2026Article
- Roux-en-Y gastric bypass promotes white adipose tissue browning and systemic metabolic recovery in obese type 2 diabetic mice.BMC endocrine disorders · 2026Article
- Dyslipidemia is associated with abdominal fat depots but not with bone mineral density and muscle fat infiltration.Lipids in health and disease · 2026Article
- Potential Role of Imaging in the Evaluation of Adiposity and Approval of Anti-Obesity Drugs.Korean journal of radiology · 2026Review
- The pectoralis major index: a novel computed tomography biomarker for low thoracic muscle mass and eastern cooperative oncology group performance status in lung cancer patients.Frontiers in nutrition · 2026Article
- Computed tomographic measurements of adipose tissue and adiposity index as predictors of femoral artery pseudoaneurysm following coronary angiography: a retrospective cohort study.The international journal of cardiovascular imaging · 2025Article
- Article
- Cachexia Phenotyping Through Morphofunctional Assessment and Mitocondrial Biomarkers (GDF-15 and PGC-1α) in Idiopathic Pulmonary Fibrosis.Nutrients · 2025Observational
- Impact of Sarcopenia on Mortality in Patients Undergoing TAVI: A Follow-Up Study.Journal of clinical medicine · 2025Article
- Artificial intelligence-based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus.Journal of diabetes investigation · 2025Article
- Canonical correlation analysis on the association between pulmonary function and obesity in early-onset COPD: CT-based body composition analysis.Frontiers in medicine · 2025Article
- Article
- Impact of body composition metrics extracted from QCT and the corresponding nomogram on the evaluation of survival prognosis in AML patients.Frontiers in oncology · 2025Article
- Development and Validation of Deep Learning Preoperative Planning Software for Automatic Lumbosacral Screw Selection Using Computed Tomography.Bioengineering (Basel, Switzerland) · 2024Article
- Relative muscle indices and healthy reference values for sarcopenia assessment using T10 through L5 computed tomography skeletal muscle area.Scientific reports · 2024Article
- Relationship between abdominal fat volume and bone base material pairs from dual-energy spectral computed tomography in young and middle-aged patients with metabolic syndrome.Quantitative imaging in medicine and surgery · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundTo evaluate the correlation between single- and multi-slice cross-sectional thoracolumbar and whole-body compositions.
methodsWe retrospectively included patients who underwent whole-body PET-CT scans from January 2016 to December 2019 at multiple institutions. A priori-developed, deep learning-based commercially available 3D U-Net segmentation provided whole-body 3D reference volumes and 2D areas of muscle, visceral fat, and subcutaneous fat at the upper, middle, and lower endplate of the individual T1-L5 vertebrae. In the derivation set, we analyzed the Pearson correlation coefficients of single-slice and multi-slice averaged 2D areas (waist and T12-L1) with the reference values. We then built prediction models using the top three correlated levels and tested the models in the validation set.
resultsThe derivation and validation datasets included 203 (mean age 58.2 years; 101 men) and 239 patients (mean age 57.8 years; 80 men). The coefficients were distributed bimodally, with the first peak at T4 (coefficient, 0.78) and the second peak at L2-3 (coefficient 0.90). The top three correlations in the abdominal scan range were found for multi-slice waist averaging (0.92) and single-slice L3 and L2 (0.90, each), while those in the chest scan range were multi-slice T12-L1 averaging (0.89), single-slice L1 (0.89), and T12 (0.86). The model performance at the top three levels for estimating whole-body composition was similar in the derivation and validation datasets.
conclusionsSingle-slice L2-3 (abdominal CT range) and L1 (chest CT range) analysis best correlated with whole-body composition around 0.90 (coefficient). Multi-slice waist averaging provided a slightly higher correlation of 0.92.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.