Literature DB >> 18923576

A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care.

Marina Mourtzakis1, Carla M M Prado, Jessica R Lieffers, Tony Reiman, Linda J McCargar, Vickie E Baracos.   

Abstract

Human body composition is important in numerous cancer research domains. Our objective was to evaluate clinically accessible methods to achieve practical and precise measures of body composition in cancer patients. Dual-energy X-ray absorptiometry (DXA)-based analysis of fat and fat-free mass was performed in 50 cancer patients and compared with bioelectrical impedance analysis (BIA) and with regional computed tomography (CT) images available in the patients' medical records. BIA overestimated or underestimated fat-free mass substantially compared with DXA as the method of reference (up to 9.3 kg difference). Significant changes in fat-free mass over time detected with DXA in a subset of 21 patients (+2.2 +/- 3.2%/100 days, p = 0.003), was beyond the limits of detection of BIA. Regional analysis of fat and fat-free tissue at the 3rd lumbar vertebra with either DXA or CT strongly predicted whole-body fat and fat-free mass (r = 0.86-0.94; p < 0.001). CT images provided detail on specific muscles, adipose tissues and organs, not provided by DXA or BIA. CT presents great practical significance due to the prevalence of these images in patient diagnosis and follow-up, thus marrying clinical accessibility with high precision to quantify specific tissues and to predict whole-body composition.

Entities:  

Mesh:

Year:  2008        PMID: 18923576     DOI: 10.1139/H08-075

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


  542 in total

1.  Worsening central sarcopenia and increasing intra-abdominal fat correlate with decreased survival in patients with adrenocortical carcinoma.

Authors:  Barbra S Miller; Kathleen M Ignatoski; Stephanie Daignault; Ceit Lindland; Megan Doherty; Paul G Gauger; Gary D Hammer; Stewart C Wang; Gerard M Doherty
Journal:  World J Surg       Date:  2012-07       Impact factor: 3.352

2.  Cachexia in pancreatic cancer: new treatment options and measures of success.

Authors:  Kenneth C H Fearon; Vickie E Baracos
Journal:  HPB (Oxford)       Date:  2010-06       Impact factor: 3.647

3.  Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis.

Authors:  Setareh Dabiri; Karteek Popuri; Elizabeth M Cespedes Feliciano; Bette J Caan; Vickie E Baracos; Mirza Faisal Beg
Journal:  Comput Med Imaging Graph       Date:  2019-05-09       Impact factor: 4.790

4.  Imaging skeletal muscle volume, density, and FDG uptake before and after induction therapy for non-small cell lung cancer.

Authors:  M D Goncalves; S Taylor; D F Halpenny; E Schwitzer; S Gandelman; J Jackson; A Lukose; A J Plodkowski; K S Tan; M Dunphy; L W Jones; R J Downey
Journal:  Clin Radiol       Date:  2018-01-06       Impact factor: 2.350

5.  Skeletal muscle loss during systemic chemotherapy for colorectal cancer indicates treatment response: a pooled analysis of a multicenter clinical trial (KSCC 1605-A).

Authors:  Shun Sasaki; Eiji Oki; Hiroshi Saeki; Takayuki Shimose; Sanae Sakamoto; Qingjiang Hu; Kensuke Kudo; Yasuo Tsuda; Yuichiro Nakashima; Koji Ando; Yoshito Akagi; Yoshihiro Kakeji; Hideo Baba; Yoshihiko Maehara
Journal:  Int J Clin Oncol       Date:  2019-05-06       Impact factor: 3.402

6.  Decreased Skeletal Muscle Volume Is a Predictive Factor for Poorer Survival in Patients Undergoing Surgical Resection for Pancreatic Ductal Adenocarcinoma.

Authors:  Motokazu Sugimoto; Michael B Farnell; David M Nagorney; Michael L Kendrick; Mark J Truty; Rory L Smoot; Suresh T Chari; Michael R Moynagh; Gloria M Petersen; Rickey E Carter; Naoki Takahashi
Journal:  J Gastrointest Surg       Date:  2018-02-01       Impact factor: 3.452

7.  Evaluating Muscle Mass in Survivors of Acute Respiratory Distress Syndrome: A 1-Year Multicenter Longitudinal Study.

Authors:  Kitty S Chan; Marina Mourtzakis; Lisa Aronson Friedman; Victor D Dinglas; Catherine L Hough; E Wesley Ely; Peter E Morris; Ramona O Hopkins; Dale M Needham
Journal:  Crit Care Med       Date:  2018-08       Impact factor: 7.598

8.  Skeletal Muscle Metrics on Clinical 18F-FDG PET/CT Predict Health Outcomes in Patients with Sarcoma.

Authors:  Brent Foster; Robert D Boutin; Leon Lenchik; David Gedeon; Yu Liu; Vinay Nittur; Ramsey D Badawi; Chin-Shang Li; Robert J Canter; Abhijit J Chaudhari
Journal:  J Nat Sci       Date:  2018

9.  Skeletal muscle depletion is an independent prognostic factor for hepatocellular carcinoma.

Authors:  Soichi Iritani; Kenji Imai; Koji Takai; Tatsunori Hanai; Takayasu Ideta; Tsuneyuki Miyazaki; Atsushi Suetsugu; Makoto Shiraki; Masahito Shimizu; Hisataka Moriwaki
Journal:  J Gastroenterol       Date:  2014-05-10       Impact factor: 7.527

10.  Deep learning method for localization and segmentation of abdominal CT.

Authors:  Setareh Dabiri; Karteek Popuri; Cydney Ma; Vincent Chow; Elizabeth M Cespedes Feliciano; Bette J Caan; Vickie E Baracos; Mirza Faisal Beg
Journal:  Comput Med Imaging Graph       Date:  2020-08-14       Impact factor: 4.790

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