Literature DB >> 30615474

MRI quantitation of abdominal skeletal muscle correlates with CT-based analysis: implications for sarcopenia measurement.

Amir Ishaq Khan1, David A Reiter2, Aarti Sekhar2, Puneet Sharma2, Nabile M Safdar2, Dattatraya H Patil3, Sarah P Psutka4, William C Small2, Mehmet A Bilen5, Kenneth Ogan3, Viraj A Master3.   

Abstract

Sarcopenia is associated with poor outcomes in a variety of conditions, including malignancy. Abdominal skeletal muscle area (SMA) segmentation using computed tomography (CT) has been shown to be an accurate surrogate for identifying sarcopenia. While magnetic resonance imaging (MRI) segmentation of SMA has been validated in cadaver limbs, few studies have validated abdominal SMA segmentation using MRI at lumbar level mid-L3. Our objective was to assess the reproducibility and concordance of CT and MRI segmentation analyses of SMA at mid-L3. This retrospective analysis included a random sample of 10 patients with renal cell carcinoma (RCC) and CT abdomen/pelvis, used to assess intra-observer variability of SMA measurements using CT. An additional sample of 9 patients with RCC and both CT and T2-weighted (T2w) MRI abdomen/pelvis was used to assess intra-observer variability of SMA using MRI and concordance of SMA between MRI and CT. SMA was segmented using Slice-O-Matic. SMA reproducibility was assessed using intraclass correlation coefficient (ICC). SMA concordance was analyzed using Bland-Altman plot and Pearson correlation coefficient. The intra-observer variability of CT and MRI SMA at mid-L3 was low, with ICC of 0.998 and 0.985, respectively. Bland-Altman analysis revealed bias of 0.74% for T2w MRI over CT. The Pearson correlation coefficient was 0.997 (p < 0.0001), demonstrating strong correlation between CT and T2w MRI. Abdominal SMA at mid-L3 is reproducibly segmented for both CT and T2w MRI, with strong correlation between the 2 modalities. T2w MRI can be used interchangeably with CT for assessment of SMA and sarcopenia. This finding has important clinical implications.

Entities:  

Keywords:  cancer; computed tomography; correlation; corrélation; imagerie par résonance magnétique; magnetic resonance imaging; muscle squelettique; sarcopenia; sarcopénie; segmentation; skeletal muscle; tomodensitométrie

Year:  2019        PMID: 30615474     DOI: 10.1139/apnm-2018-0473

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  11 in total

Review 1.  Quantification of skeletal muscle mass: sarcopenia as a marker of overall health in children and adults.

Authors:  Leah A Gilligan; Alexander J Towbin; Jonathan R Dillman; Elanchezhian Somasundaram; Andrew T Trout
Journal:  Pediatr Radiol       Date:  2019-11-20

2.  Bioelectrical Impedance Analysis for the Assessment of Sarcopenia in Patients with Cancer: A Systematic Review.

Authors:  Gabriel F P Aleixo; Shlomit S Shachar; Kirsten A Nyrop; Hyman B Muss; Claudio L Battaglini; Grant R Williams
Journal:  Oncologist       Date:  2019-11-12

3.  Defining the vulnerable patient with myeloma-a frailty position paper of the European Myeloma Network.

Authors:  Gordon Cook; Alessandra Larocca; Thierry Facon; Sonja Zweegman; Monika Engelhardt
Journal:  Leukemia       Date:  2020-06-18       Impact factor: 11.528

4.  Body composition assessment: comparison of quantitative values between magnetic resonance imaging and computed tomography.

Authors:  Chiara Zaffina; Rolf Wyttenbach; Alberto Pagnamenta; Rosario Francesco Grasso; Matteo Biroli; Filippo Del Grande; Stefania Rizzo
Journal:  Quant Imaging Med Surg       Date:  2022-02

5.  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 6.  Radiologic Definition of Sarcopenia in Chronic Liver Disease.

Authors:  Chul-Min Lee; Bo Kyeong Kang; Mimi Kim
Journal:  Life (Basel)       Date:  2021-01-25

Review 7.  Bioelectrical Impedance Analysis for the Assessment of Sarcopenia in Patients with Cancer: A Systematic Review.

Authors:  Gabriel F P Aleixo; Shlomit S Shachar; Kirsten A Nyrop; Hyman B Muss; Claudio L Battaglini; Grant R Williams
Journal:  Oncologist       Date:  2019-11-12       Impact factor: 5.837

8.  Transversus abdominis and multifidus asymmetry in runners measured by MRI: a cross-sectional study.

Authors:  Ulrike H Mitchell; A Wayne Johnson; Patrick J Owen; Timo Rantalainen; Daniel Belavy
Journal:  BMJ Open Sport Exerc Med       Date:  2019-09-06

9.  Sarcopenia and Liver Cirrhosis-Comparison of the European Working Group on Sarcopenia Criteria 2010 and 2019.

Authors:  Julia Traub; Ina Bergheim; Martin Eibisberger; Vanessa Stadlbauer
Journal:  Nutrients       Date:  2020-02-20       Impact factor: 5.717

10.  Preoperative assessment of skeletal muscle mass during magnetic resonance enterography in patients with Crohn's disease.

Authors:  V Celentano; L Kamil-Mustafa; R Beable; C Ball; K G Flashman; Z Jennings; D P O' Leary; A Higginson; S Luxton
Journal:  Updates Surg       Date:  2020-05-14
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