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Han, J.* ; Harrison, L. ; Patzelt, L.* ; Wu, M.* ; Junker, D.* ; Herzig, S. ; Berriel Diaz, M. ; Karampinos, D.C.*

Imaging modalities for diagnosis and monitoring of cancer cachexia.

EJNMMI Res. 11:94 (2021)
Publ. Version/Full Text DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Cachexia, a multifactorial wasting syndrome, is highly prevalent among advanced-stage cancer patients. Unlike weight loss in healthy humans, the progressive loss of body weight in cancer cachexia primarily implicates lean body mass, caused by an aberrant metabolism and systemic inflammation. This may lead to disease aggravation, poorer quality of life, and increased mortality. Timely detection is, therefore, crucial, as is the careful monitoring of cancer progression, in an effort to improve management, facilitate individual treatment and minimize disease complications. A detailed analysis of body composition and tissue changes using imaging modalities-that is, computed tomography, magnetic resonance imaging, (18F) fluoro-2-deoxy-D-glucose (18FDG) PET and dual-energy X-ray absorptiometry-shows great premise for charting the course of cachexia. Quantitative and qualitative changes to adipose tissue, organs, and muscle compartments, particularly of the trunk and extremities, could present important biomarkers for phenotyping cachexia and determining its onset in patients. In this review, we present and compare the imaging techniques that have been used in the setting of cancer cachexia. Their individual limitations, drawbacks in the face of clinical routine care, and relevance in oncology are also discussed.
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Publication type Article: Journal article
Document type Review
Keywords Adipose Tissue ; Cancer Cachexia Progression ; Computed Tomography (ct) ; Imaging Biomarkers ; Imaging-based Phenotyping ; Magnetic Resonance Imaging (mri) ; Skeletal Muscle; Brown Adipose-tissue; X-ray Absorptiometry; Body-composition; Muscle Mass; Computed-tomography; Clinical-implications; Energy-expenditure; Fat; Sarcopenia; Prevalence
Language english
Publication Year 2021
HGF-reported in Year 2021
ISSN (print) / ISBN 2191-219X
e-ISSN 2191-219X
Journal EJNMMI Research
Quellenangaben Volume: 11, Issue: 1, Pages: , Article Number: 94 Supplement: ,
Publisher Springer
Publishing Place One New York Plaza, Suite 4600, New York, Ny, United States
Reviewing status Peer reviewed
Institute(s) Institute of Diabetes and Cancer (IDC)
POF-Topic(s) 30201 - Metabolic Health
90000 - German Center for Diabetes Research
Research field(s) Helmholtz Diabetes Center
PSP Element(s) G-502591-001
G-501900-251
G-501900-253
Grants Deutsche Forschungsgemeinschaft
DOI 10.1186/s13550-021-00834-2
WOS ID WOS:000700277100001
Scopus ID 85115636800
PubMed ID 34557972
Erfassungsdatum 2021-11-12
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