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

Author:

Shah Urvi A12ORCID,Ballinger Tarah J3ORCID,Bhandari Rusha45ORCID,Dieli-Conwright Christina M6ORCID,Guertin Kristin A7ORCID,Hibler Elizabeth A8ORCID,Kalam Faiza8ORCID,Lohmann Ana Elisa9ORCID,Ippolito Joseph E1011ORCID

Affiliation:

1. Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center , New York, NY, USA

2. Department of Medicine, Weill Cornell Medical College , New York, NY, USA

3. Department of Medicine, Indiana University Simon Comprehensive Cancer Center , Indianapolis, IN, USA

4. Department of Pediatrics, City of Hope , Duarte, CA, USA

5. Department of Population Science, City of Hope , Duarte, CA, USA

6. Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School , Boston, MA, USA

7. Department of Public Health Sciences, University of Connecticut Health , Farmington, CT, USA

8. Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University , Chicago, IL, USA

9. Department of Medical Oncology, Schulich School of Medicine and Dentistry, University of Western Ontario , London, ON, Canada

10. Department of Radiology, Washington University School of Medicine , St. Louis, MO, USA

11. Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine , St Louis, MO, USA

Abstract

AbstractBody 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.

Funder

National Cancer Institute

National Institutes of Health

MSK Cancer Center Core

American Society of Hematology CRTI

International Myeloma Society Career Development Award

Paula and Rodger Riney Foundation

HealthTree Foundation

Allen Foundation

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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