Literature DB >> 29625351

Influence of tube potential on CT body composition analysis.

Fabian Morsbach1, Yi-Hua Zhang2, Patrik Nowik3, Lena Martin4, Catarina Lindqvist5, Anders Svensson2, Torkel B Brismar2.   

Abstract

OBJECTIVES: Our purpose was to investigate whether tube potential in contrast-enhanced computed tomography (CT) affects body composition analysis.
METHODS: Images from dual-source, dual-energy CT from the abdomen with intravenous contrast media administration were used. A total of 17 patients (11 women, mean age 52) with a mean body mass index of 20.8 kg/cm2 were included. Simultaneously acquired images with a tube voltage of 80 kV and 140 kV were compared. Body composition was analyzed on a single slice at the L3 level. Parameters evaluated included muscle and fat attenuation (Hounsfield units [HU]), skeletal muscle index (cm2/m2), muscle area (cm2), and steatotic muscle area (cm2). Significant differences between 80 kV and 140 kV series were compared using the paired Student's t test.
RESULTS: Tube potential affected muscle attenuation with an average difference of 17% between 80 kV and 140 kV series (48 HU versus 41 HU, P < 0.01), fat attenuation (-84 HU versus -69 HU, P < 0.01), skeletal muscle index of 5.2% (40.1 cm2/m2 versus 42.2 cm2/m2, P < 0.01), muscle area of 5.1% (117 cm2 versus 123 cm2, P < 0.01), and steatotic muscle area of 12.9% (31 cm2 versus 35 cm2, P < 0.01).
CONCLUSION: Tube potential significantly affects body segmentation in contrast-enhanced CT.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Body composition; Computed tomography; Fat; Muscle; Segmentation; Skeletal muscle index

Mesh:

Substances:

Year:  2018        PMID: 29625351     DOI: 10.1016/j.nut.2017.12.016

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  5 in total

1.  Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT.

Authors:  Pierre Decazes; David Tonnelet; Pierre Vera; Isabelle Gardin
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

2.  Approaches to Assessment of Muscle Mass and Myosteatosis on Computed Tomography: A Systematic Review.

Authors:  Behrang Amini; Sean P Boyle; Robert D Boutin; Leon Lenchik
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-09-15       Impact factor: 6.053

3.  3D-segmentation and characterization of visceral and abdominal subcutaneous adipose tissue on CT: influence of contrast medium and contrast phase.

Authors:  Robin F Gohmann; Sebastian Gottschling; Patrick Seitz; Batuhan Temiz; Christian Krieghoff; Christian Lücke; Matthias Horn; Matthias Gutberlet
Journal:  Quant Imaging Med Surg       Date:  2021-02

4.  Muscle loss during primary debulking surgery and chemotherapy predicts poor survival in advanced-stage ovarian cancer.

Authors:  Chueh-Yi Huang; Yuh-Cheng Yang; Tze-Chien Chen; Jen-Ruei Chen; Yu-Jen Chen; Meng-Hao Wu; Ya-Ting Jan; Chih-Long Chang; Jie Lee
Journal:  J Cachexia Sarcopenia Muscle       Date:  2020-01-30       Impact factor: 12.910

Review 5.  Radiologic Definition of Sarcopenia in Chronic Liver Disease.

Authors:  Chul-Min Lee; Bo Kyeong Kang; Mimi Kim
Journal:  Life (Basel)       Date:  2021-01-25
  5 in total

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