Journal of magnetic resonance imaging : JMRI · 2023
Efficacy of Whole-Blood Model of Gadolinium-Based Contrast Agent Relaxivity in Predicting Vascular MR Signal Intensity In Vivo.
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Norris Evan C, Schneider Guenther, Clark Toshimasa J, Kirchin Miles A, Wilson Gregory J, Maki Jeffrey H
Аннотация
BACKGROUND: Previous 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.
PURPOSE: Validate theory describing blood behavior of R1 and R2* in an animal model.
STUDY TYPE: Prospective, animal.
ANIMAL MODEL: Seven swine (54-65 kg).
FIELD STRENGTH/SEQUENCE: 1.5 T; time-resolved 3D spoiled gradient-recalled echo (SPGR) and quantitative Look-Locker and multi-echo fast field echo sequences.
ASSESSMENT: Seven 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 TESTS: Linear correlation (coefficient of determination, R2) and mean errors were compared across the SI prediction models.
RESULTS: There 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 CONCLUSION: Incorporating 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 EVIDENCE: 1 TECHNICAL EFFICACY: Stage 1.
PURPOSE: Validate theory describing blood behavior of R1 and R2* in an animal model.
STUDY TYPE: Prospective, animal.
ANIMAL MODEL: Seven swine (54-65 kg).
FIELD STRENGTH/SEQUENCE: 1.5 T; time-resolved 3D spoiled gradient-recalled echo (SPGR) and quantitative Look-Locker and multi-echo fast field echo sequences.
ASSESSMENT: Seven 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 TESTS: Linear correlation (coefficient of determination, R2) and mean errors were compared across the SI prediction models.
RESULTS: There 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 CONCLUSION: Incorporating 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 EVIDENCE: 1 TECHNICAL EFFICACY: Stage 1.