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Computed Tomography-based Body Composition Analysis and Its Role in Lung Cancer Care.
Troschel, Amelie S; Troschel, Fabian M; Best, Till D; Gaissert, Henning A; Torriani, Martin; Muniappan, Ashok; Van Seventer, Emily E; Nipp, Ryan D; Roeland, Eric J; Temel, Jennifer S; Fintelmann, Florian J.
Afiliação
  • Troschel AS; Departments of Radiology, Division of Thoracic Imaging and Intervention.
  • Troschel FM; Departments of Radiology, Division of Thoracic Imaging and Intervention.
  • Best TD; Departments of Radiology, Division of Thoracic Imaging and Intervention.
  • Gaissert HA; Surgery, Division of Thoracic Surgery.
  • Torriani M; Radiology, Division of Musculoskeletal Imaging and Intervention.
  • Muniappan A; Surgery, Division of Thoracic Surgery.
  • Van Seventer EE; Cancer Center, Massachusetts General Hospital, Boston, MA.
  • Nipp RD; Cancer Center, Massachusetts General Hospital, Boston, MA.
  • Roeland EJ; Cancer Center, Massachusetts General Hospital, Boston, MA.
  • Temel JS; Cancer Center, Massachusetts General Hospital, Boston, MA.
  • Fintelmann FJ; Departments of Radiology, Division of Thoracic Imaging and Intervention.
J Thorac Imaging ; 35(2): 91-100, 2020 Mar.
Article em En | MEDLINE | ID: mdl-31268959
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Tomografia Computadorizada por Raios X / Tecido Adiposo / Músculo Esquelético / Neoplasias Pulmonares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Thorac Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Tomografia Computadorizada por Raios X / Tecido Adiposo / Músculo Esquelético / Neoplasias Pulmonares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Thorac Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article