Efficacy of Whole‐Blood Model of Gadolinium‐Based Contrast Agent Relaxivity in Predicting Vascular MR Signal Intensity In Vivo

Author:

Norris Evan C.1ORCID,Schneider Guenther2,Clark Toshimasa J.1,Kirchin Miles A.3ORCID,Wilson Gregory J.4,Maki Jeffrey H.14

Affiliation:

1. Department of Radiology University of Colorado Anschutz Medical Center Aurora Colorado USA

2. Department of Diagnostic and Interventional Radiology Saarland University Medical Center Homburg Germany

3. Global Medical & Regulatory Affairs Bracco Imaging SpA Milan Italy

4. Department of Radiology University of Washington Seattle Washington USA

Abstract

BackgroundPrevious in vitro studies have described sub‐linear longitudinal and heightened transverse H2O relaxivities of gadolinium‐based contrast agents (GBCAs) in blood due to their extracellular nature. However, in vivo validation is lacking.PurposeValidate theory describing blood behavior of R1 and R2* in an animal model.Study TypeProspective, animal.Animal ModelSeven swine (54–65 kg).Field Strength/Sequence1.5 T; time‐resolved 3D spoiled gradient‐recalled echo (SPGR) and quantitative Look‐Locker and multi‐echo fast field echo sequences.AssessmentSeven swine were each injected three times with 0.1 mmol/kg intravenous doses of one of three GBCAs: gadoteridol, gadobutrol, and gadobenate dimeglumine. Injections were randomized for rate (1, 2, and 3 mL/s) and order, during which time‐resolved aortic 3D SPGR imaging was performed concurrently with aortic blood sampling via an indwelling catheter. Time‐varying [GBCA] was measured by mass spectrometry of sampled blood. Predicted signal intensity (SI) was determined from a model incorporating sub‐linear R1 and R2* effects (whole‐blood model) and simpler models incorporating linear R1, with and without R2* effects. Predicted SIs were compared to measured aortic SI.Statistical TestsLinear correlation (coefficient of determination, R2) and mean errors were compared across the SI prediction models.ResultsThere was an excellent correlation between predicted and measured SI across all injections and swine when accounting for the non‐linear dependence of R1 and high blood R2* (regression slopes 0.91–1.04, R2 ≥ 0.91). Simplified models (linear R1 with and without R2* effects) showed poorer correlation (slopes 0.67–0.85 and 0.54–0.64 respectively, both R2 ≥ 0.89) and higher averaged mean absolute and mean square errors (128.4 and 177.4 vs. 42.0, respectively, and 5506 and 11,419 vs. 699, respectively).Data ConclusionIncorporating sub‐linear R1 and high first‐pass R2* effects in arterial blood models allows accurate SPGR SI prediction in an in vivo animal model, and might be utilized when modeling MR blood SI.Level of Evidence1Technical EfficacyStage 1

Funder

Bracco Diagnostics

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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