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FDG-PET/CT imaging in assessing cancer-induced cachexia

  • Armin Frille
  • , Daria Ferrara
  • , Shaul Duke
  • , Sune Holm
  • , Thomas Lund
  • , Stefan Grünert
  • , Marcus Hacker
  • , Bengt Hennig
  • , Anna Veduta
  • , Miriam Pepponi
  • , Elisabetta Abenavoli
  • , Roberto Sciagrà
  • , Swen Hesse
  • , Franziska Zientek
  • , Osama Sabri
  • , Hubert Wirtz
  • , Anke Tönjes
  • , Thomas Beyer
  • , Lalith Kumar
  • , Shiyam Sundar
  • Josef Yu, Lukas Hofmann, Michael Rullmann

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

Purpose of reviewCachexia, and cancer-induced cachexia in particular, pose a significant clinical challenge, given its complex etiology, late diagnosis and limited treatment options available today. With advances in precision oncology and systemic metabolic assessment, this review explores the potential of [18F]fluorodeoxyglucose positron emission tomography combined with computed tomography ([18F]FDG-PET/CT) - already integral to cancer patient management - to assess cachexia-related metabolic alterations beyond tumor detection.Recent findingsGrowing evidence suggests that [18F]FDG-PET/CT can capture early metabolic dysfunction in cachexia-affected tissues (e.g., muscle, adipose tissue, liver and heart), often preceding overt weight loss. These metabolic shifts may serve as novel biomarkers for early identification and monitoring. Integrating PET-derived data with automated CT-based body composition analysis could provide a more holistic view of systemic metabolic derangements. However, current evidence relies largely on retrospective or heterogeneous studies.SummaryProspective trials in well defined patient populations are needed to validate PET/CT imaging for the management of patients with cachexia. If proven effective, this approach could expand the role of PET/CT from tumor-centric imaging to a broader metabolic assessment platform, thus, enhancing supportive care in oncology.

Original languageEnglish (US)
Pages (from-to)373-378
Number of pages6
JournalCurrent Opinion in Clinical Nutrition and Metabolic Care
Volume28
Issue number5
DOIs
Publication statusPublished - Sept 2025

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

  • body composition
  • cachexia
  • cancer
  • computed tomography
  • positron emission tomography

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