ArticleQuantitative imaging in medicine and surgery2022
Body composition assessment: comparison of quantitative values between magnetic resonance imaging and computed tomography.
Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Morphofunctional Assessment beyond Malnutrition: Fat Mass Assessment in Adult Patients with Phenylketonuria-Systematic Review.Nutrients · 2024Pooled it
- Body composition as a predictor of chemotherapy-related toxicity in pancreatic cancer patients: A systematic review.Frontiers in oncology · 2022Pooled it
- Body composition as a predictor of chemotherapy-related toxicity in ovarian cancer patients: A systematic review.Frontiers in oncology · 2022Pooled it
- Clinical Assessment of Obesity Beyond Body Mass Index: Adiposity Evaluation, Body-Composition Phenotyping and Disease Staging: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Exploring Adipose Tissue Behavior in CT: Impact of Age, Sex, and Contrast Media on Body Composition, Liver and Skeletal Muscle.Journal of imaging · 2026Article
- Technical performance of L3 skeletal muscle area (SMA) measurement on CT for L3 skeletal muscle index (L3SMI) assessment.Scientific reports · 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
- Hormone replacement therapy and muscle loss: repeated measures analysis from the Baltimore Longitudinal Study of Aging using DXA.Skeletal radiology · 2026Article
- Refining visceral adipose tissue quantification: Influence of sex, age, and BMI on single slice estimation in 3D MRI of the German National Cohort.Zeitschrift fur medizinische Physik · 2026Article
- Oxidative stress in adolescents with overweight/obesity.Journal of medical biochemistry · 2026Article
- MRI abdominal fat segmentation with a novel VAT/SAT delineation algorithm: Otsu regression calibration and comparison to k-means and fuzzy c-means.Frontiers in bioinformatics · 2026Article
- Potential Role of Imaging in the Evaluation of Adiposity and Approval of Anti-Obesity Drugs.Korean journal of radiology · 2026Review
- Factors associated with clinical outcomes of breast cancer based on glucose metabolic activity of subcutaneous adipose tissue.Frontiers in oncology · 2026Article
- A Comprehensive Evaluation of Thigh Mineral-Free Lean Mass Measures Using Dual Energy X-Ray Absorptiometry (DXA) in Young Children.Journal of imaging · 2025Article
- A potential bioelectrical impedance equation for estimating skeletal muscle area using computed tomography in colorectal cancer.Scientific reports · 2025Article
- Sex-specific association of visceral and abdominal subcutaneous adipose tissue with gastroesophageal reflux disease: a large-scale perspective cohort study.BMC gastroenterology · 2025Article
- MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI.Radiology · 2025Article
- The impact of reduced skeletal muscle mass at stroke onset on 3-month functional outcomes in acute ischemic stroke patients.PloS one · 2025Article
- Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach.Journal of cachexia, sarcopenia and muscle · 2024Article
- Computed tomography (CT)-based skeletal muscle vertebral-related index to assess low muscle mass in patients with non-small cell lung cancer.Quantitative imaging in medicine and surgery · 2024Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe primary objective of this study was to compare measurements of skeletal muscle index (SMI), visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) at the level of L3, on subjects who underwent computed tomography (CT) and magnetic resonance imaging (MRI) examinations within a three-month period. The secondary objective was to compare the automatic and semi-automatic quantifications of the same values for CT images.
methodsAmong subjects who underwent CT and MRI at our Institution between 2011 and 2020, exclusion criteria were: presence of extensive artifacts; images not including the whole waist circumference; CT acquired with low-dose technique and lack of non-contrast images. A set of three axial images (CT, MRI T1-weighted and T2-weighted) were used to extract the following measurements with semi-automatic segmentations: SMI [calculated normalizing skeletal muscle area (SMA) by the square height], SAT, VAT. For the CT images only, the same values were also calculated by using automatic segmentation. Statistical analysis was performed comparing quantitative MRI and CT measurements by Pearson correlation analysis and by Bland-Altman agreement analysis.
resultsA total of 123 patients were included. By performing linear regression analysis, CT and MRI measurements of SMI showed a high correlation (r
conclusionsQuantification of body composition values at MRI from T1-weighted and T2-weighted images was highly correlated to same values at CT, therefore quantitative values of body composition among patients who underwent either one of the examinations may be compared. CT body composition values extracted by semi-automatic and automatic segmentations showed high correlation.
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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.