Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review
Autor: | Jere Kyttä, Said Pertuz, Otso Arponen, Antti Sassi, Tomppa Pakarinen, William Cancino, Irina Rinta-Kiikka, Antti Tolonen |
---|---|
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Computed tomography Composition analysis Lumbar vertebrae law.invention law medicine Humans Radiology Nuclear Medicine and imaging Respiratory system Muscle Skeletal Retrospective Studies Research evidence medicine.diagnostic_test SARS-CoV-2 business.industry COVID-19 Cancer General Medicine medicine.disease Intensive care unit medicine.anatomical_structure Sarcopenia Body Composition Radiology Tomography X-Ray Computed business |
Zdroj: | European Journal of Radiology. 145:109943 |
ISSN: | 0720-048X |
DOI: | 10.1016/j.ejrad.2021.109943 |
Popis: | Purpose of the review We aim to review the methods, current research evidence, and future directions of body composition analysis (BCA) with CT imaging. Recent findings CT images can be used to evaluate muscle, visceral, and subcutaneous adipose tissue (VAT and SAT, respectively) compartments. Manual and semiautomatic segmentations of the tissue compartments are still the gold standards. The segmentation of skeletal muscle tissue, VAT and SAT compartments is most often performed at the level of the 3rd lumbar vertebra. A decreased amount of the CT-determined skeletal muscle mass is a marker of impaired survival in many patient populations, including patients with cancer and those undergoing several types of surgery or admitted to the intensive care unit (ICU). Patients with increased VAT are more susceptible to impaired survival / worse outcomes; those patients who are critically ill / admitted ICU or who will undergo surgery appear to be an exception. The independent significance of SAT is less well established. Recently, the roles of the CT-determined decrease of muscle mass and increased VAT and epicardial adipose tissue (EAT) areas have been shown to predict a more debilitating course of illness in patients suffering from severe acute respiratory syndrome after coronavirus 2 (COVID-19) infection. Summary The field of CT-based body composition analysis is rapidly evolving and shows great potential for clinical implementation. |
Databáze: | OpenAIRE |
Externí odkaz: |