Literature DB >> 22735036

A critical evaluation of body composition modalities used to assess adipose and skeletal muscle tissue in cancer.

Katie M Di Sebastiano1, Marina Mourtzakis.   

Abstract

The majority of cancer patients experience some form of body composition change during the disease trajectory. For example, breast cancer patients undergoing chemotherapy and prostate cancer patients undergoing androgen deprivation therapy gain fat and lose skeletal muscle, which are associated with increased risk of cancer recurrence and clinical comorbidities. In contrast, advanced cancer patients, such as lung and colorectal cancer patients, experience symptoms of cancer cachexia (accelerated loss of skeletal muscle with or without adipose tissue loss), which are associated with decreased treatment response and poorer survival rates in advanced cancers. The heterogeneity of body composition features and their diverse implications across different cancer populations supports the need for accurate quantification of muscle and adipose tissue. Use of appropriate body composition modalities will facilitate an understanding of the complex relationship between body composition characteristics and clinical outcomes. This will ultimately support the development and evaluation of future therapeutic interventions that aim to counter muscle loss and fat gain in cancer populations. Despite the various metabolic complications that may confound the accurate body composition measurement in cancer patients (i.e., dehydration may confound lean tissue measurement), there are no guidelines for selecting the most appropriate modalities to make these measurements. In this review we outline specific considerations for choosing the most optimal approaches of lean and adipose tissue measurements among different cancer populations. Anthropometric measures, bioelectrical impedance analysis, air displacement plethysmography, dual-energy X-ray absorptiometry, computed tomography, and magnetic resonance imaging will be discussed.

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Mesh:

Year:  2012        PMID: 22735036     DOI: 10.1139/h2012-079

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  25 in total

1.  Effects of melatonin on appetite and other symptoms in patients with advanced cancer and cachexia: a double-blind placebo-controlled trial.

Authors:  Egidio Del Fabbro; Rony Dev; David Hui; Lynn Palmer; Eduardo Bruera
Journal:  J Clin Oncol       Date:  2013-02-25       Impact factor: 44.544

2.  ACG Clinical Guideline: Nutrition Therapy in the Adult Hospitalized Patient.

Authors:  Stephen A McClave; John K DiBaise; Gerard E Mullin; Robert G Martindale
Journal:  Am J Gastroenterol       Date:  2016-03-08       Impact factor: 10.864

Review 3.  The value of bioelectrical impedance analysis and phase angle in the evaluation of malnutrition and quality of life in cancer patients--a comprehensive review.

Authors:  O Grundmann; S L Yoon; J J Williams
Journal:  Eur J Clin Nutr       Date:  2015-07-29       Impact factor: 4.016

4.  Calibration of a semi-automated segmenting method for quantification of adipose tissue compartments from magnetic resonance images of mice.

Authors:  Philippe Garteiser; Sabrina Doblas; Rheal A Towner; Timothy M Griffin
Journal:  Metabolism       Date:  2013-07-25       Impact factor: 8.694

5.  The prevalence of sarcopenia in patients with respiratory failure classified as normally nourished using computed tomography and subjective global assessment.

Authors:  Patricia M Sheean; Sarah J Peterson; Sandra Gomez Perez; Karen L Troy; Ankur Patel; Joy S Sclamberg; Folabomi C Ajanaku; Carol A Braunschweig
Journal:  JPEN J Parenter Enteral Nutr       Date:  2013-08-26       Impact factor: 4.016

6.  Making the most of the imaging we have: using head MRI to estimate body composition.

Authors:  C M Lack; G J Lesser; U N Umesi; J Bowns; M Y Chen; D Case; R C Hightower; A J Johnson
Journal:  Clin Radiol       Date:  2016-01-12       Impact factor: 2.350

7.  Body composition among patients undergoing surgery for colorectal cancer.

Authors:  Krzysztof Tojek; Zbigniew Banaszkiewicz; Jacek Budzyński
Journal:  Prz Gastroenterol       Date:  2021-03-26

Review 8.  Myostatin inhibitors as therapies for muscle wasting associated with cancer and other disorders.

Authors:  Rosamund C Smith; Boris K Lin
Journal:  Curr Opin Support Palliat Care       Date:  2013-12       Impact factor: 2.302

9.  The influence of different muscle mass measurements on the diagnosis of cancer cachexia.

Authors:  Susanne Blauwhoff-Buskermolen; Jacqueline A E Langius; Annemarie Becker; Henk M W Verheul; Marian A E de van der Schueren
Journal:  J Cachexia Sarcopenia Muscle       Date:  2017-04-26       Impact factor: 12.910

Review 10.  Pancreatic cancer cachexia: a review of mechanisms and therapeutics.

Authors:  Carlyn R Tan; Patrick M Yaffee; Laith H Jamil; Simon K Lo; Nicholas Nissen; Stephen J Pandol; Richard Tuli; Andrew E Hendifar
Journal:  Front Physiol       Date:  2014-03-03       Impact factor: 4.566

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