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What's next in using CT scans to better understand cachexia?
- Source :
-
Current opinion in supportive and palliative care [Curr Opin Support Palliat Care] 2018 Dec; Vol. 12 (4), pp. 427-433. - Publication Year :
- 2018
-
Abstract
- Purpose of Review: Cachexia (CAX), a protein metabolism disorder commonly associated with cancer, can be evaluated by computed tomography (CT) scan assessment of skeletal muscle mass (SMM), a parameter associated with patient outcome. This review analyzes current barriers for using CT scans of SMM in routine management for defining prognostic risk groups, and proposes new areas of research to reach a better understanding of CAX mechanisms.<br />Recent Findings: Current research is focused on establishing a robust and relevant CAX staging system to reach a consensual definition. Previous biomarkers of CAX are poorly associated with outcome and do not exhibit clinical benefit. Systemic inflammatory marker, decrease in intake assessments, and/or nonnutritional criteria have been integrated to develop a multidimensional, highly complex CAX signature and CAX staging.<br />Summary: A standardized definition of sarcopenia is essential, and its value in clinical practice should be evaluated in prospective interventional studies using skeletal muscle assessment. SMM loss may be a key element in defining early protein disorders occurring before weight loss and could be used as a trigger for initiating early nutritional support. Changes in SMM and body composition during follow-up are useful tools for exploring CAX mechanisms in terms of intrinsic factors or tumor evolution.
- Subjects :
- Adipose Tissue physiopathology
Biomarkers
Body Composition
Cachexia etiology
Fatigue etiology
Fatigue physiopathology
Humans
Muscle Strength physiology
Muscle, Skeletal physiopathology
Neoplasms complications
Nutrition Assessment
Prospective Studies
Severity of Illness Index
Weight Loss physiology
Cachexia diagnostic imaging
Cachexia physiopathology
Sarcopenia diagnostic imaging
Sarcopenia physiopathology
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 1751-4266
- Volume :
- 12
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Current opinion in supportive and palliative care
- Publication Type :
- Academic Journal
- Accession number :
- 30239385
- Full Text :
- https://doi.org/10.1097/SPC.0000000000000388