1. Hepatobiliary MRI: Signal intensity based assessment of liver function correlated to 13 C-Methacetin breath test.
- Author
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Haimerl M, Probst U, Poelsterl S, Beyer L, Fellner C, Selgrad M, Hornung M, Stroszczynski C, and Wiggermann P
- Subjects
- Acetamides, Adult, Aged, Aged, 80 and over, Breath Holding, Carbon Isotopes, Female, Humans, Image Enhancement, Liver metabolism, Liver Function Tests methods, Male, Middle Aged, Reproducibility of Results, Retrospective Studies, Breath Tests methods, Gadolinium DTPA, Liver diagnostic imaging, Magnetic Resonance Imaging methods
- Abstract
Gadoxetic acid (Gd-EOB-DTPA) is a paramagnetic MRI contrast agent with raising popularity and has been used for evaluation of imaging-based liver function in recent years. In order to verify whether liver function as determined by real-time breath analysis using the intravenous administration of
13 C-methacetin can be estimated quantitatively from Gd-EOB-DTPA-enhanced MRI using signal intensity (SI) values. 110 patients underwent Gd-EOB-DTPA-enhanced 3-T MRI and, for the evaluation of liver function, a13 C-methacetin breath test (13 C-MBT). SI values from before (SIpre ) and 20 min after (SIpost ) contrast media injection were acquired by T1-weighted volume-interpolated breath-hold examination (VIBE) sequences with fat suppression. The relative enhancement (RE) between the plain and contrast-enhanced SI values was calculated and evaluated in a correlation analysis of13 C-MBT values to SIpost and RE to obtain a SI-based estimation of13 C-MBT values. The simple regression model showed a log-linear correlation of13 C-MBT values with SIpost and RE (p < 0.001). Stratified by 3 different categories of13 C-MBT readouts, there was a constant significant decrease in both SIpost (p ≤ 0.002) and RE (p ≤ 0.033) with increasing liver disease progression as assessed by the13 C-MBT. Liver function as determined using real-time13 C-methacetin breath analysis can be estimated quantitatively from Gd-EOB-DTPA-enhanced MRI using SI-based indices.- Published
- 2018
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