Literature DB >> 30694368

Quantification of fat and skeletal muscle tissue at abdominal computed tomography: associations between single-slice measurements and total compartment volumes.

Anton Faron1, Julian A Luetkens2, Frederic C Schmeel2, Daniel L R Kuetting2, Daniel Thomas2, Alois M Sprinkart2.   

Abstract

PURPOSE: Body composition is of great prognostic value in several severe diseases, including different types of cancer as well as cardiometabolic disorders. We aimed to investigate the correlations of skeletal muscle mass and abdominal adipose tissue compartments between volumetric and single-slice measurements to study the usefulness of several anatomical landmarks for estimation of total compartment volumes using abdominal CT-scans.
METHODS: In this retrospective study volumetric quantifications of paraspinal skeletal muscles (SM) and adipose tissue compartments (visceral adipose tissue, VAT; subcutaneous adipose tissue, SAT) were performed in 50 consecutive patients (26 male; mean age, 63 ± 15 years) who underwent abdominal multislice-CT for diagnostic purposes using an in-house software. Associations between total volumes of SM, VAT, and SAT with single-slice measurements at eight predefined anatomical landmarks (median intervertebral disk spaces T12/L1 to L5/S1; level of the umbilicus (U); level of the radix of the superior mesenteric artery (SMA)) were studied using correlation coefficients.
RESULTS: Statistical analysis revealed a strong association between single-slice measurements of adipose tissue compartments with total VAT and SAT volume (VAT: all r > 0.89, P < 0.001; SAT: all r > 0.95, P < 0.001). The strongest associations with total SM volume were found for single-slice measurements obtained at L3/4 (r = 0.94, P < 0.001) and were further improved by normalization to height (r = 0.98, P < 0.001).
CONCLUSIONS: Single-slice measurements of SM, VAT, and SAT at several anatomical landmarks are strongly associated with total compartment volumes and therefore allow for easy and simultaneous assessment of skeletal muscle mass and adipose tissue compartment volumes.

Entities:  

Keywords:  Abdomen; CT; Obesity; Sarcopenia

Mesh:

Year:  2019        PMID: 30694368     DOI: 10.1007/s00261-019-01912-9

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  13 in total

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Authors:  Chelsea G Goodenough; Robyn E Partin; Kirsten K Ness
Journal:  Aging Cancer       Date:  2021-05-20

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Journal:  Radiol Med       Date:  2022-09-20       Impact factor: 6.313

4.  Skeletal Muscle Composition Predicts Outcome in Critically Ill Patients.

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Journal:  Crit Care Explor       Date:  2020-08-05

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Journal:  Diabetes Obes Metab       Date:  2019-05-08       Impact factor: 6.577

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Journal:  J Cachexia Sarcopenia Muscle       Date:  2020-01-09       Impact factor: 12.910

7.  CT fatty muscle fraction as a new parameter for muscle quality assessment predicts outcome in venovenous extracorporeal membrane oxygenation.

Authors:  Anton Faron; Stefan Kreyer; Alois M Sprinkart; Thomas Muders; Stefan F Ehrentraut; Alexander Isaak; Rolf Fimmers; Claus C Pieper; Daniel Kuetting; Jens-Christian Schewe; Ulrike Attenberger; Christian Putensen; Julian A Luetkens
Journal:  Sci Rep       Date:  2020-12-28       Impact factor: 4.379

8.  Anthropometric analysis of body habitus and outcomes in critically ill COVID-19 patients.

Authors:  Balázs Poros; Andrea Sabine Becker-Pennrich; Bastian Sabel; Hans Joachim Stemmler; Dietmar Wassilowsky; Thomas Weig; Ludwig Christian Hinske; Bernhard Zwissler; Jens Ricke; Dominik J Hoechter
Journal:  Obes Med       Date:  2021-07-03

9.  Deep Learning-Based Body Composition Analysis Predicts Outcome in Melanoma Patients Treated with Immune Checkpoint Inhibitors.

Authors:  Anton Faron; Nikola S Opheys; Sebastian Nowak; Alois M Sprinkart; Alexander Isaak; Maike Theis; Narine Mesropyan; Christoph Endler; Judith Sirokay; Claus C Pieper; Daniel Kuetting; Ulrike Attenberger; Jennifer Landsberg; Julian A Luetkens
Journal:  Diagnostics (Basel)       Date:  2021-12-09

10.  Percentile-based averaging and skeletal muscle gauge improve body composition analysis: validation at multiple vertebral levels.

Authors:  J Peter Marquardt; Eric J Roeland; Emily E Van Seventer; Till D Best; Nora K Horick; Ryan D Nipp; Florian J Fintelmann
Journal:  J Cachexia Sarcopenia Muscle       Date:  2021-11-02       Impact factor: 12.910

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