Literature DB >> 35218312

Defining sarcopenia and myosteatosis: the necessity for consensus on a technical standard and standardized cut-off values.

Lisa B Westenberg1, Marcel Zorgdrager2, Alain R Viddeleer2, Robert A Pol1.   

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Year:  2022        PMID: 35218312      PMCID: PMC8977957          DOI: 10.1002/jcsm.12961

Source DB:  PubMed          Journal:  J Cachexia Sarcopenia Muscle        ISSN: 2190-5991            Impact factor:   12.910


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With great interest we read the paper by Morel et al. in the Journal of Cachexia, Sarcopenia and Muscle. The authors presented an interesting study on the impact of low skeletal muscle mass index (as a surrogate marker for sarcopenia) and low muscle density (as a surrogate marker for myosteatosis) on patient survival after kidney transplantation. They performed measurements on cross‐sectional computed tomography (CT) scans taken at the level of the third lumbar vertebra. We agree with the authors that the analysis of CT scans has the advantage of being able to not only provide information about muscle quantity but also its quality, contributing to a more accurate assessment of body composition (components) and related health risks. We feel there is a need to emphasize one important aspect of the discussion. To date, there is still no consensus on standardized CT‐derived cut‐off values for low skeletal muscle mass and myosteatosis, which impairs accurate data analysis, interpretation, and subsequent translation to clinical practice. Although some studies have presented cut‐off values for low muscle mass , , , , , and low muscle density, , discrepancies exist between these cut‐off values due to differences in characteristics of the study population or the techniques used to assess quantity and quality of muscle mass, forcing researchers and clinicians to continue determining cut‐off values specific to their study population. Morel et al. made use of age‐specific and sex‐specific normality thresholds of 130 healthy subjects and used a standardized procedure for their CT examinations. The mean skeletal muscle index of healthy subjects found in their study slightly differs from that found in our cohort of almost 1000 living kidney donors (mean skeletal muscle index (in cm2 /m2) is 53.1 ± 7.3 in men and 42.0 ± 4.8 in women in our cohort versus 54.8 ± 7.9 in men and 41.7 ± 5.5 in women in the cohort of Morel et al.), and mean muscle density is lower in comparison to our cohort for both men and women (mean muscle density (in Hounsfield Units) is 49.3 ± 7.4 in men and 47.6 ± 7.9 in women in our cohort versus 43.8 ± 7.7 in men and 37.0 ± 8.2 in women in the cohort of Morel et al.), possibly due to differences in for example slice thickness. Several studies report an influence of technical parameters on muscle density, in which a higher slice thickness results in a lower muscle density and intravenous contrast and low tube current are associated with an increased muscle density. , The impact of variances in these technical parameters on skeletal muscle area measurements seems clinically less important, but requires further research. , , Due to increased attention in clinical practice and research for muscle quality, and the effect on various outcome measures, we need to develop a technical standard and formulate clear cut‐off values. Additionally, technical parameters should be reported in studies using CT for body composition analysis. Healthy individuals undergoing CT as part of standard care, such as living kidney donors, provide an excellent opportunity to assess reference and cut‐off values of sarcopenia and myosteatosis, and future research and discussion should focus on establishing standardized procedures and achieve a proper validation.

Conflict of interest

Lisa Westenberg, Marcel Zorgdrager, Alain Viddeleer, and Robert Pol declare that they have no conflict of interest.
  13 in total

1.  Quantifying the effect of slice thickness, intravenous contrast and tube current on muscle segmentation: Implications for body composition analysis.

Authors:  Georg Fuchs; Yves R Chretien; Julia Mario; Synho Do; Matthias Eikermann; Bob Liu; Kai Yang; Florian J Fintelmann
Journal:  Eur Radiol       Date:  2018-01-09       Impact factor: 5.315

2.  Contrast-enhancement influences skeletal muscle density, but not skeletal muscle mass, measurements on computed tomography.

Authors:  Jeroen L A van Vugt; Robert R J Coebergh van den Braak; Henk J W Schippers; Kevin M Veen; Stef Levolger; Ron W F de Bruin; Marcel Koek; Wiro J Niessen; Jan N M IJzermans; François E J A Willemsen
Journal:  Clin Nutr       Date:  2017-07-14       Impact factor: 7.324

3.  Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index.

Authors:  Lisa Martin; Laura Birdsell; Neil Macdonald; Tony Reiman; M Thomas Clandinin; Linda J McCargar; Rachel Murphy; Sunita Ghosh; Michael B Sawyer; Vickie E Baracos
Journal:  J Clin Oncol       Date:  2013-03-25       Impact factor: 44.544

4.  Proposal for new diagnostic criteria for low skeletal muscle mass based on computed tomography imaging in Asian adults.

Authors:  Yuhei Hamaguchi; Toshimi Kaido; Shinya Okumura; Atsushi Kobayashi; Ahmed Hammad; Yumiko Tamai; Nobuya Inagaki; Shinji Uemoto
Journal:  Nutrition       Date:  2016-05-04       Impact factor: 4.008

5.  Skeletal muscle cutoff values for sarcopenia diagnosis using T10 to L5 measurements in a healthy US population.

Authors:  Brian A Derstine; Sven A Holcombe; Brian E Ross; Nicholas C Wang; Grace L Su; Stewart C Wang
Journal:  Sci Rep       Date:  2018-07-27       Impact factor: 4.379

6.  The role of recipient myosteatosis in graft and patient survival after deceased donor liver transplantation.

Authors:  Zoltan Czigany; Wiebke Kramp; Isabella Lurje; Hannah Miller; Jan Bednarsch; Sven Arke Lang; Tom Florian Ulmer; Philipp Bruners; Pavel Strnad; Christian Trautwein; Martin Wolfgang von Websky; Frank Tacke; Ulf Peter Neumann; Georg Lurje
Journal:  J Cachexia Sarcopenia Muscle       Date:  2021-02-01       Impact factor: 12.910

7.  Myosteatosis as an independent risk factor for mortality after kidney allograft transplantation: a retrospective cohort study.

Authors:  Antoine Morel; Yaniss Ouamri; Florence Canouï-Poitrine; Sébastien Mulé; Cécile Maud Champy; Alexandre Ingels; Vincent Audard; Alain Luciani; Philippe Grimbert; Marie Matignon; Frédéric Pigneur; Thomas Stehlé
Journal:  J Cachexia Sarcopenia Muscle       Date:  2021-11-05       Impact factor: 12.910

8.  Defining sarcopenia and myosteatosis: the necessity for consensus on a technical standard and standardized cut-off values.

Authors:  Lisa B Westenberg; Marcel Zorgdrager; Alain R Viddeleer; Robert A Pol
Journal:  J Cachexia Sarcopenia Muscle       Date:  2022-02-26       Impact factor: 12.910

9.  Estimated skeletal muscle mass and density values measured on computed tomography examinations in over 1000 living kidney donors.

Authors:  Jeroen L A van Vugt; Yordi van Putten; Irma M van der Kall; Stefan Buettner; Frank C H D'Ancona; Helena M Dekker; Hendrikus J A N Kimenai; Ron W F de Bruin; Michiel C Warlé; Jan N M IJzermans
Journal:  Eur J Clin Nutr       Date:  2018-08-24       Impact factor: 4.016

10.  Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy Caucasian population.

Authors:  A van der Werf; J A E Langius; M A E de van der Schueren; S A Nurmohamed; K A M I van der Pant; S Blauwhoff-Buskermolen; N J Wierdsma
Journal:  Eur J Clin Nutr       Date:  2017-12-15       Impact factor: 4.016

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  1 in total

1.  Defining sarcopenia and myosteatosis: the necessity for consensus on a technical standard and standardized cut-off values.

Authors:  Lisa B Westenberg; Marcel Zorgdrager; Alain R Viddeleer; Robert A Pol
Journal:  J Cachexia Sarcopenia Muscle       Date:  2022-02-26       Impact factor: 12.910

  1 in total

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