Imaging modalities for measuring body composition in patients with cancer: Opportunities and challenges Review


Authors: Shah, U. A.; Ballinger, T. J.; Bhandari, R.; Dieli-Cornwright, C. M.; Guertin, K. A.; Hibler, E. A.; Kalam, F.; Lohmann, A. E.; Ippolito, J. E.
Review Title: Imaging modalities for measuring body composition in patients with cancer: Opportunities and challenges
Abstract: Body composition assessment (ie, the measurement of muscle and adiposity) impacts several cancer-related outcomes including treatment-related toxicities, treatment responses, complications, and prognosis. Traditional modalities for body composition measurement include body mass index, body circumference, skinfold thickness, and bioelectrical impedance analysis; advanced imaging modalities include dual energy x-ray absorptiometry, computerized tomography, magnetic resonance imaging, and positron emission tomography. Each modality has its advantages and disadvantages, thus requiring an individualized approach in identifying the most appropriate measure for specific clinical or research situations. Advancements in imaging approaches have led to an abundance of available data, however, the lack of standardized thresholds for classification of abnormal muscle mass or adiposity has been a barrier to adopting these measurements widely in research and clinical care. In this review, we discuss the different modalities in detail and provide guidance on their unique opportunities and challenges. © The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.
Keywords: neoplasm; neoplasms; obesity; diagnostic imaging; physiology; body mass; body mass index; body composition; skinfold thickness; humans; human
Journal Title: Journal of the National Cancer Institute - Monographs
Volume: 2023
Issue: 61
ISSN: 1052-6773
Publisher: Oxford University Press  
Date Published: 2023-06-01
Start Page: 56
End Page: 67
Language: English
DOI: 10.1093/jncimonographs/lgad001
PUBMED: 37139984
PROVIDER: scopus
PMCID: PMC10157788
DOI/URL:
Notes: Review -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- Export Date: 1 June 2023 -- Source: Scopus
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  1. Urvi A Shah
    187 Shah