Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast

• Published in: Abdominal imaging Vol. 46; no. 3; pp. 1229 - 1235
• Main Authors: Perez, Alberto A., Pickhardt, Perry J., Elton, Daniel C., Sandfort, Veit, Summers, Ronald M.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2021; Springer Nature B.V
• Subjects: Abdomen; Algorithms; Automation; Biomarkers; Body composition; Bone imaging; Bone mineral density; Computed tomography; Correlation analysis; Correlation coefficient; Correlation coefficients; Gastroenterology; Hepatology; Imaging; Intravenous administration; Medicine; Medicine & Public Health; Muscles; Radiology; Technical; IV contrast; Bone-mineral-density; Intra-abdominal fat; Image processing; Muscular atrophy; Opportunistic screening
• ISSN: 2366-004X; 2366-0058
• DOI: 10.1007/s00261-020-02755-5

Purpose Fully automated CT-based algorithms for quantifying bone, muscle, and fat have been validated for unenhanced abdominal scans. The purpose of this study was to determine and correct for the effect of intravenous (IV) contrast on these automated body composition measures. Materials and methods Initial study cohort consisted of 1211 healthy adults (mean age, 45.2 years; 733 women) undergoing abdominal CT for potential renal donation. Multiphasic CT protocol consisted of pre-contrast, arterial, and parenchymal phases. Fully automated CT-based algorithms for quantifying bone mineral density (BMD, L1 trabecular HU), muscle area and density (L3-level MA and M-HU), and fat (visceral/subcutaneous (V/S) fat ratio) were applied to pre-contrast and parenchymal phases. Effect of IV contrast upon these body composition measures was analyzed. Square of the Pearson correlation coefficient ( r 2 ) was generated for each comparison. Results Mean changes (± SD) in L1 BMD, L3-level MA and M-HU, and V/S fat ratio were 26.7 ± 27.2 HU, 2.9 ± 10.2 cm 2 , 18.8 ± 6.0 HU, − 0.1 ± 0.2, respectively. Good linear correlation between pre- and post-contrast values was observed for all automated measures: BMD (pre = 0.87 × post; r 2  = 0.72), MA (pre = 0.98 × post; r 2  = 0.92), M-HU (pre = 0.75 × post  + 5.7; r 2  = 0.75), and V/S (pre = 1.11 × post; r 2  = 0.94); p  < 0.001 for all r 2 values. There were no significant trends according to patient age or gender that required further correction. Conclusion Fully automated quantitative tissue measures of bone, muscle, and fat at contrast-enhanced abdominal CT can be correlated with non-contrast equivalents using simple, linear relationships. These findings will facilitate evaluation of mixed CT cohorts involving larger patient populations and could greatly expand the potential for opportunistic screening.