Repeatability, reproducibility, and observer variability of body composition assessment with single-slice lumbar MRI
Rattachement africain : gb, us, ch. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The single-slice MRI at the third lumbar vertebra (L3) offers an efficient way to assess body composition but evidence on the reliability of this method is scarce. This study evaluates the accuracy and precision of the single-slice L3 method for adipose and muscle tissue measurements. The technical performance of single-slice (L3) MRI body composition measurements was assessed in a prospective, single-center study of 12 participants, focusing on scan-rescan repeatability, cross-scanner reproducibility, and analyst variability. Participants were scanned using Philips 1.5 T (reference scanner) and Philips 3 T scanners. Additionally, retrospective data from multiple imaging centers from 36 participants were analyzed to evaluate inter-device and inter-observer (analyst vs. radiologist) variability across a wide range of body types, scanner manufacturers (Siemens, Philips, GE) and field strengths (1.5 T and 3 T). Blinded analyses were performed for visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) cross-sectional areas (CSA), VAT and SAT indices, VAT/SAT ratio, skeletal muscle CSA, skeletal muscle index (SMI), psoas muscle CSA, and psoas muscle index. Single-slice MRI-based body composition measurements showed high scan-rescan repeatability (CoV: 1.5%–7.9%, ICC: 0.97–1.0), with low repeatability coefficients (RC) across key metrics, including 12 cm 2 for SAT CSA, 15 cm 2 for VAT CSA, 5 cm 2 for skeletal muscle CSA, and 1.4 cm 2 for psoas muscle CSA. Cross-scanner reproducibility was consistent (CoV: 2.3%–15%, ICC: 0.90–1.0). Inter- and intra-analyst variability was minimal (CoV: 0.5%–5.0%, ICC: 0.98–1.0). Analyst-radiologist comparisons showed near-perfect correlations (r = 0.97–1.00, p < 0.001) and excellent reliability (ICC: 0.96–1.0). The results demonstrate that the MRI-based single-slice method at the L3 vertebral level provides accurate, repeatable, and reproducible measurements of adipose and muscle tissue across diverse body types, consistent between trained analysts and experienced radiologists. This study establishes technical validity of the single-slice L3 method and supports its potential for use in clinical and research settings.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Repeatability, reproducibility, and observer variability of body composition assessment with single-slice lumbar MRI
- Date Crossref
- 13/02/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Perspectum Ltd. (United Kingdom) pays non établi dans la noticeEntreprise
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Cincinnati Children's Hospital Medical Center pays non établi dans la noticeÉtablissement de santé
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University of Cincinnati Cincinnati Children’s Hospital Medical Center pays non établi dans la noticeUniversité ou école supérieure
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John Radcliffe Hospital pays non établi dans la noticeÉtablissement de santé
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University of Oxford pays non établi dans la noticeUniversité ou école supérieure
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Oxford University Hospitals NHS Trust pays non établi dans la noticeÉtablissement de santé
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Università della Svizzera italiana pays non établi dans la noticeUniversité ou école supérieure
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Oxford University Hospitals NHS Foundation Trust Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
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Clinica Di Radiologia EOC Istituto Di Imaging Della Svizzera Italiana (IIMSI) pays non établi dans la noticeÉtablissement de santé
Perspectum Ltd. (United Kingdom), Cincinnati Children's Hospital Medical Center et Cincinnati Children’s Hospital Medical Center — University of Cincinnati, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.