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Imaging modalities for diagnosis and monitoring of cancer cachexia

  • Technical University of Munich
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • German Centre for Diabetes Research (DZD)
  • University Hospital Heidelberg

Research output: Contribution to journalReview articlepeer-review

43 Scopus citations

Abstract

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.

Original languageEnglish
Article number94
JournalEJNMMI Research
Volume11
Issue number1
DOIs
StatePublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Adipose tissue
  • Cancer cachexia progression
  • Computed tomography (CT)
  • Imaging biomarkers
  • Imaging-based phenotyping
  • Magnetic resonance imaging (MRI)
  • Skeletal muscle

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