Literature DB >> 30741436

Influence of Methods Used to Establish Sarcopenia Cutoff Values for Skeletal Muscle Measures Using Unenhanced and Contrast-Enhanced Computed Tomography Images.

Zhichao Feng1, Pengfei Rong1, Muqing Luo1, Xianxi Sun2, Wei Wang1.   

Abstract

BACKGROUND: Multiple cutoff values of computed tomography (CT)-based skeletal muscle measures have been proposed, but there is currently no consensus used to identify sarcopenia. We aimed to evaluate the influence of statistical methods used to establish sarcopenia cutoff values and to examine the impact of contrast enhancement on the skeletal muscle measures.
METHODS: The skeletal muscle area (SMA) and muscle radiation attenuation (MRA) of 316 healthy individuals were measured on unenhanced CT images at the third lumbar vertebra level, and the skeletal muscle index (SMI) was SMA divided by height squared. Possible cutoff values were established using 2 methods: 5th percentile of individuals aged 20-60 years or mean - 2 × SD of individuals aged 20-50 years. The concordance was assessed using Cohen's κ coefficients and McNemar test. The skeletal muscle parameters on 3 phases from 30 CT examinations were compared.
RESULTS: The concordance between the 2 methods was almost perfect (κ coefficients: 0.830-0.849) for low MRA but slight to moderate (κ coefficients: 0.189-0.591) for low SMI, especially in the men (P < 0.01). Compared with the unenhanced images, the mean SMA, SMI, and MRA on the contrast-enhanced images increased by 0.8%-1.7%, 0.8%-1.8%, and 14.8%-21.6% (all P < 0.001), respectively, and only the changes in MRA were clinically significant.
CONCLUSIONS: The methods for establishing cutoff values and contrast enhancement influence the identification of low SMI and low MRA, respectively. Thus, the definition of sarcopenia should include the standardized method for establishing cutoff values and the phase of CT for analysis.
© 2019 American Society for Parenteral and Enteral Nutrition.

Entities:  

Keywords:  computed tomography; contrast enhancement; cutoff value; diagnosis; sarcopenia; skeletal muscle measures

Year:  2019        PMID: 30741436     DOI: 10.1002/jpen.1519

Source DB:  PubMed          Journal:  JPEN J Parenter Enteral Nutr        ISSN: 0148-6071            Impact factor:   4.016


  4 in total

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Authors:  Domenico Albano; Luca Camoni; Roberto Rinaldi; Alessandra Tucci; Vittorio Ruggero Zilioli; Cristina Muzi; Marco Ravanelli; Davide Farina; Alessandra Coppola; Manuela Camalori; Raffaele Giubbini; Francesco Bertagna
Journal:  Br J Radiol       Date:  2021-06-09       Impact factor: 3.039

2.  Prediction of abdominal CT body composition parameters by thoracic measurements as a new approach to detect sarcopenia in a COVID-19 cohort.

Authors:  I Molwitz; A K Ozga; L Gerdes; A Ungerer; D Köhler; I Ristow; M Leiderer; G Adam; J Yamamura
Journal:  Sci Rep       Date:  2022-04-19       Impact factor: 4.996

Review 3.  The Value of Artificial Intelligence-Assisted Imaging in Identifying Diagnostic Markers of Sarcopenia in Patients with Cancer.

Authors:  Ying-Tzu Huang; Yi-Shan Tsai; Peng-Chan Lin; Yu-Min Yeh; Ya-Ting Hsu; Pei-Ying Wu; Meng-Ru Shen
Journal:  Dis Markers       Date:  2022-03-29       Impact factor: 3.434

4.  Preoperative Body Composition Combined with Tumor Metabolism Analysis by PET/CT Is Associated with Disease-Free Survival in Patients with NSCLC.

Authors:  Hongpei Tan; Mengtian Ma; Jing Huang; Yuqian Dong; Jiahao Liu; Ze Mi; Kai Zheng; Shuo Hu; Pengfei Rong
Journal:  Contrast Media Mol Imaging       Date:  2022-07-13       Impact factor: 3.009

  4 in total

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