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OBJECTIVES: The authors sought to generate a synthetic extracellular volume fraction (ECV) from the relationship between hematocrit and longitudinal relaxation rate of blood. BACKGROUND: ECV quantification by cardiac magnetic resonance (CMR) measures diagnostically and prognostically relevant changes in the extracellular space. Current methodologies require blood hematocrit (Hct) measurement-a complication to easy clinical application. We hypothesized that the relationship between Hct and longitudinal relaxation rate of blood (R1 = 1/T1blood) could be calibrated and used to generate a synthetic ECV without Hct that was valid, user-friendly, and prognostic. METHODS: Proof-of-concept: 427 subjects with a wide range of health and disease were divided into derivation (n = 214) and validation (n = 213) cohorts. Histology cohort: 18 patients with severe aortic stenosis with histology obtained during valve replacement. Outcome cohort: For comparison with external outcome data, we applied synthetic ECV to 1,172 consecutive patients (median follow-up 1.7 years; 74 deaths). All underwent CMR scanning at 1.5-T with ECV calculation from pre- and post-contrast T1 (blood and myocardium) and venous Hct. RESULTS: Proof-of-concept: In the derivation cohort, native R1blood and Hct showed a linear relationship (R(2) = 0.51; p < 0.001), which was used to create synthetic Hct and ECV. Synthetic ECV correlated well with conventional ECV (R(2) = 0.97; p < 0.001) without bias. These results were maintained in the validation cohort. Histology cohort: Synthetic and conventional ECV both correlated well with collagen volume fraction measured from histology (R(2) = 0.61 and 0.69, both p < 0.001) with no statistical difference (p = 0.70). Outcome cohort: Synthetic ECV related to all-cause mortality (hazard ratio 1.90; 95% confidence interval 1.55 to 2.31; for every 5% increase in ECV). Finally, we engineered a synthetic ECV tool, generating automatic ECV maps during image acquisition. CONCLUSIONS: Synthetic ECV provides validated noninvasive quantification of the myocardial extracellular space without blood sampling and is associated with cardiovascular outcomes.

Original publication

DOI

10.1016/j.jcmg.2015.11.008

Type

Journal article

Journal

JACC Cardiovasc Imaging

Publication Date

01/2016

Volume

9

Pages

54 - 63

Keywords

ECV, collagen, magnetic resonance imaging, mortality, myocardial fibrosis, Adult, Aged, Automation, Biomarkers, Case-Control Studies, Collagen, Extracellular Space, Female, Heart Diseases, Hematocrit, Humans, Image Interpretation, Computer-Assisted, Linear Models, London, Magnetic Resonance Imaging, Male, Middle Aged, Myocardium, Pennsylvania, Predictive Value of Tests, Prognosis, Reproducibility of Results, Stroke Volume, Ventricular Function, Left, Young Adult