Literature DB >> 28947019

Utilization of non-invasive imaging tools for assessment of peripheral skeletal muscle size and composition in chronic lung disease: A systematic review.

Dmitry Rozenberg1, Vanessa Martelli1, Luciana Vieira2, Ani Orchanian-Cheff3, Nadia Keshwani4, Lianne G Singer1, Sunita Mathur5.   

Abstract

OBJECTIVES: Non-invasive imaging modalities allow for detailed assessment of peripheral skeletal muscle wasting, which is associated with increased morbidity and mortality in chronic lung disease. Given the increased utilization of imaging tools, a systematic review was conducted using PRISMA guidelines to describe the modalities and acquisition techniques used to evaluate skeletal muscle in chronic lung disease and assess the relationships of muscle size and composition with strength, physical performance, structural alterations and clinical outcomes.
METHODS: Six electronic databases were searched (inception-May 2017) to identify prospective studies measuring peripheral skeletal muscle size or composition using computed tomography (CT), magnetic resonance imaging/spectroscopy (MRI/MRS), or ultrasound (US) in adult chronic lung disease patients.
RESULTS: Fifty-eight articles were included, which utilized: CT (n = 26), MRI/MRS (n = 16) and US (n = 16) in 2254 participants. All studies measured muscle size, predominantly of the lower extremity (n = 53), and only nine assessed muscle composition (i.e. fat infiltration) mainly with CT or MRI/MRS (n = 7). Thigh muscle size had a significant association with strength (r = 0.43-0.83, n = 13/14 studies), 6-min walk distance (r = 0.60-0.62, n = 3/6) and physical activity (r = 0.30-0.82, n = 3). Thigh muscle atrophy was independently associated with increased re-hospitalization (n = 1) and mortality (n = 3). Increased muscle fat infiltration had a moderate association with reduced physical performance partly related to increased anaerobic metabolism, but its prognostic utility was not assessed.
CONCLUSION: Imaging modalities are valuable tools for the characterization of skeletal muscle dysfunction in chronic lung disease in clinical and research settings. The use of muscle imaging as a prognostic marker is promising and requires further study.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Lung diseases; Magnetic Resonance Imaging; Muscular atrophy; Tomography scanners; Ultrasound; X-ray computed

Mesh:

Year:  2017        PMID: 28947019     DOI: 10.1016/j.rmed.2017.08.007

Source DB:  PubMed          Journal:  Respir Med        ISSN: 0954-6111            Impact factor:   3.415


  6 in total

1.  Quantity and quality of antigravity muscles in patients undergoing living-donor lobar lung transplantation: 1-year longitudinal analysis using chest computed tomography images.

Authors:  Yohei Oshima; Susumu Sato; Toyofumi F Chen-Yoshikawa; Yuji Yoshioka; Nana Shimamura; Ryota Hamada; Manabu Nankaku; Akira Tamaki; Hiroshi Date; Shuichi Matsuda
Journal:  ERJ Open Res       Date:  2020-07-06

Review 2.  Quantitative analysis of skeletal muscle by computed tomography imaging-State of the art.

Authors:  Klaus Engelke; Oleg Museyko; Ling Wang; Jean-Denis Laredo
Journal:  J Orthop Translat       Date:  2018-10-28       Impact factor: 5.191

3.  Cross-sectional and longitudinal assessment of muscle from regular chest computed tomography scans: L1 and pectoralis muscle compared to L3 as reference in non-small cell lung cancer.

Authors:  Karin J C Sanders; Juliette H R J Degens; Anne-Marie C Dingemans; Annemie M W J Schols
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2019-04-03

4.  Clinical significance of pectoralis muscle strength in elderly patients with idiopathic pulmonary fibrosis.

Authors:  Habibe Durdu; Saadet Ufuk Yurdalan; Ipek Ozmen
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2022-03-31       Impact factor: 0.670

5.  Mapping the global research landscape and hotspot of exercise therapy and chronic obstructive pulmonary disease: A bibliometric study based on the web of science database from 2011 to 2020.

Authors:  Yu Zhou; Xiaodan Liu; Weibing Wu
Journal:  Front Physiol       Date:  2022-08-11       Impact factor: 4.755

Review 6.  Computed tomography-based body composition measures in COPD and their association with clinical outcomes: A systematic review.

Authors:  John M Nicholson; Camila E Orsso; Sahar Nourouzpour; Brenawen Elangeswaran; Karan Chohan; Ani Orchanian-Cheff; Lee Fidler; Sunita Mathur; Dmitry Rozenberg
Journal:  Chron Respir Dis       Date:  2022 Jan-Dec       Impact factor: 3.115

  6 in total

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