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Computed Tomography-based Body Composition Analysis and Its Role in Lung Cancer Care
- Source :
- Journal of thoracic imaging. 35(2)
- Publication Year :
- 2019
-
Abstract
- Body composition analysis, also referred to as analytic morphomics, morphomics, or morphometry, describes the measurement of imaging biomarkers of body composition such as muscle and adipose tissue, most commonly on computed tomography (CT) images. A growing body of literature supports the use of such metrics derived from routinely acquired CT images for risk prediction in various patient populations, including those with lung cancer. Metrics include cross-sectional area and attenuation of skeletal muscle and subcutaneous, visceral, and intermuscular adipose tissue. The purpose of this review is to provide an overview of the concepts, definitions, assessment tools, segmentation techniques and associated pitfalls, interpretation of those measurements on chest and abdomen CT, and a discussion of reported outcomes associated with body composition metrics in patients with early-stage and advanced lung cancer.
- Subjects :
- Pulmonary and Respiratory Medicine
medicine.medical_specialty
Lung Neoplasms
Adipose tissue
Computed tomography
Composition analysis
030204 cardiovascular system & hematology
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Risk Factors
Medicine
Humans
Radiology, Nuclear Medicine and imaging
In patient
Segmentation
Lung cancer
Muscle, Skeletal
medicine.diagnostic_test
business.industry
medicine.disease
Abdomen ct
Adipose Tissue
Body Composition
Tomography
Radiology
business
Tomography, X-Ray Computed
Subjects
Details
- ISSN :
- 15360237
- Volume :
- 35
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of thoracic imaging
- Accession number :
- edsair.doi.dedup.....f555f22729a9a4e423a4102002f7a04a