Literature DB >> 33729886

Significance of Acquisition Parameters for Adipose Tissue Segmentation on CT Images.

Amelie S Troschel1, Fabian M Troschel1,2, Georg Fuchs1,3, J Peter Marquardt1, Jeanne B Ackman1, Kai Yang1, Florian J Fintelmann1.   

Abstract

OBJECTIVE. CT-based body composition analysis quantifies skeletal muscle and adipose tissue. However, acquisition parameters and quality can vary between CT images obtained for clinical care, which may lead to unreliable measurements and systematic error. The purpose of this study was to estimate the influence of IV contrast medium, tube current-exposure time product, tube potential, and slice thickness on cross-sectional area (CSA) and mean attenuation of subcutaneous (SAT), visceral (VAT), and inter-muscular adipose tissue (IMAT). MATERIALS AND METHODS. We retrospectively analyzed 244 images from 105 patients. We applied semiautomated threshold-based segmentation to CTA, dual-energy CT, and CT images acquired as part of PET examinations. An axial image at the level of the third lumbar vertebral body was extracted from each examination to generate 139 image pairs. Images from each pair were obtained with the same scanner, from the same patient, and during the same examination. Each image pair varied in only one acquisition parameter, which allowed us to estimate the effect of the parameter using one-sample t or median tests and Bland-Altman plots. RESULTS. IV contrast medium application reduced CSA in each adipose tissue compartment, with percentage change ranging from -0.4% (p = .03) to -9.3% (p < .001). Higher tube potential reduced SAT CSA (median percentage change, -4.2%; p < .001) and VAT CSA (median percentage change, -2.8%; p = .001) and increased IMAT CSA (median percentage change, -5.4%; p = .001). Thinner slices increased CSA in the VAT (mean percentage change, 3.0%; p = .005) and IMAT (median percentage change, 17.3%; p < .001) compartments. Lower tube current-exposure time product had a variable effect on CSA (median percentage change, -3.2% for SAT [p < .001], -12.6% for VAT [p = .001], and 58.8% for IMAT [p < .001]). IV contrast medium and higher tube potential increased mean attenuation, with percentage change ranging from 0.8% to 1.7% (p < .05) and from 6.2% to 20.8% (p < .001), respectively. Conversely, thinner slice and lower tube current-exposure time product reduced mean attenuation, with percentage change ranging from -5.4% to -1.0% (p < .001) and from -8.7% to -1.8% (p < .001), respectively. CONCLUSION. Acquisition parameters significantly affect CSA and mean attenuation of adipose tissue. Details of acquisition parameters used for CT-based body composition analysis need to be scrutinized and reported to facilitate interpretation of research studies.

Entities:  

Keywords:  CT; adipose tissue; body composition analysis; fat; segmentation

Year:  2021        PMID: 33729886     DOI: 10.2214/AJR.20.23280

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  3 in total

1.  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

2.  Higher subcutaneous adipose tissue radiodensity is associated with increased mortality in patients with cirrhosis.

Authors:  Maryam Ebadi; Abha R Dunichand-Hoedl; Elora Rider; Norman M Kneteman; James Shapiro; David Bigam; Khaled Dajani; Vera C Mazurak; Vickie E Baracos; Aldo J Montano-Loza
Journal:  JHEP Rep       Date:  2022-04-27

3.  Two-dimensional CT measurements enable assessment of body composition on head and neck CT.

Authors:  David Zopfs; Daniel Pinto Dos Santos; Jonathan Kottlors; Robert P Reimer; Simon Lennartz; Roman Kloeckner; Max Schlaak; Sebastian Theurich; Christoph Kabbasch; Marc Schlamann; Nils Große Hokamp
Journal:  Eur Radiol       Date:  2022-04-07       Impact factor: 7.034

  3 in total

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