Literature DB >> 31268959

Computed Tomography-based Body Composition Analysis and Its Role in Lung Cancer Care.

Amelie S Troschel1, Fabian M Troschel1, Till D Best1, Henning A Gaissert2, Martin Torriani3, Ashok Muniappan2, Emily E Van Seventer4, Ryan D Nipp4, Eric J Roeland4, Jennifer S Temel4, Florian J Fintelmann1.   

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.

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Mesh:

Year:  2020        PMID: 31268959     DOI: 10.1097/RTI.0000000000000428

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  11 in total

1.  The Impact of Early Referrals to Dietitians for Patients With Esophagogastric Cancer.

Authors:  Eric J Roeland; Richard F Dunne
Journal:  J Natl Compr Canc Netw       Date:  2021-02-02       Impact factor: 11.908

2.  A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

Authors:  Christopher P Bridge; Till D Best; Maria M Wrobel; J Peter Marquardt; Kirti Magudia; Cylen Javidan; Jonathan H Chung; Jayashree Kalpathy-Cramer; Katherine P Andriole; Florian J Fintelmann
Journal:  Radiol Artif Intell       Date:  2022-01-05

3.  Leveraging the Potential Synergy Between Patient-Reported Outcomes and Body Composition Analysis in Patients with Cancer.

Authors:  Emily E van Seventer; Florian J Fintelmann; Eric J Roeland; Ryan D Nipp
Journal:  Oncologist       Date:  2020-01-20

4.  Prediction of abdominal CT body composition parameters by thoracic measurements as a new approach to detect sarcopenia in a COVID-19 cohort.

Authors:  I Molwitz; A K Ozga; L Gerdes; A Ungerer; D Köhler; I Ristow; M Leiderer; G Adam; J Yamamura
Journal:  Sci Rep       Date:  2022-04-19       Impact factor: 4.996

5.  Feasibility, Safety and Effects of a One-Week, Ski-Based Exercise Intervention in Brain Tumor Patients and Their Relatives: A Pilot Study.

Authors:  Fabian M Troschel; Christian Ramroth; Lars Lemcke; Jens Clasing; Amelie S Troschel; Martin Dugas; Walter Stummer; Rainer Wiewrodt; Ralf Brandt; Dorothee Wiewrodt
Journal:  J Clin Med       Date:  2020-04-02       Impact factor: 4.241

6.  Factors That Improve Chest Computed Tomography-Defined Sarcopenia Prognosis in Advanced Non-Small Cell Lung Cancer.

Authors:  Ming Yang; Lingling Tan; Lingling Xie; Song Hu; Dan Liu; Jing Wang; Weimin Li
Journal:  Front Oncol       Date:  2021-10-01       Impact factor: 6.244

7.  CT-Derived Body Composition Values and Complications After Pneumonectomy in Lung Cancer Patients: Time for a Sex-Related Analysis?

Authors:  Stefania Rizzo; Francesco Petrella; Claudia Bardoni; Lorenzo Bramati; Andrea Cara; Shehab Mohamed; Davide Radice; Giorgio Raia; Filippo Del Grande; Lorenzo Spaggiari
Journal:  Front Oncol       Date:  2022-03-15       Impact factor: 6.244

8.  Bone Mineral Density as an Individual Prognostic Biomarker in Patients with Surgically-Treated Brain Metastasis from Lung Cancer (NSCLC).

Authors:  Inja Ilic; Anna-Laura Potthoff; Valeri Borger; Muriel Heimann; Daniel Paech; Frank Anton Giordano; Leonard Christopher Schmeel; Alexander Radbruch; Patrick Schuss; Niklas Schäfer; Ulrich Herrlinger; Hartmut Vatter; Asadeh Lakghomi; Matthias Schneider
Journal:  Cancers (Basel)       Date:  2022-09-24       Impact factor: 6.575

Review 9.  Computed tomography-based body composition measures in COPD and their association with clinical outcomes: A systematic review.

Authors:  John M Nicholson; Camila E Orsso; Sahar Nourouzpour; Brenawen Elangeswaran; Karan Chohan; Ani Orchanian-Cheff; Lee Fidler; Sunita Mathur; Dmitry Rozenberg
Journal:  Chron Respir Dis       Date:  2022 Jan-Dec       Impact factor: 3.115

10.  Percentile-based averaging and skeletal muscle gauge improve body composition analysis: validation at multiple vertebral levels.

Authors:  J Peter Marquardt; Eric J Roeland; Emily E Van Seventer; Till D Best; Nora K Horick; Ryan D Nipp; Florian J Fintelmann
Journal:  J Cachexia Sarcopenia Muscle       Date:  2021-11-02       Impact factor: 12.910

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