4.6 Article

Automatic Measurement of the Myocardial Interstitium Synthetic Extracellular Volume Quantification Without Hematocrit Sampling

期刊

JACC-CARDIOVASCULAR IMAGING
卷 9, 期 1, 页码 54-63

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jcmg.2015.11.008

关键词

collagen; ECV; magnetic resonance imaging; mortality; myocardial fibrosis

资金

  1. U.K. National Institute of Health Research
  2. British Heart Foundation
  3. Agency for Healthcare Research and Quality
  4. MLR Oxford Biomedical Research Centre, Oxford University Hospitals Trust, University of Oxford
  5. Pittsburgh Foundation
  6. American Heart Association Scientist Development fund
  7. British Heart Foundation [FS/12/56/29723, FS/10/40/28260] Funding Source: researchfish
  8. National Institute for Health Research [DRF-2013-06-102] Funding Source: researchfish

向作者/读者索取更多资源

OBJECTIVES The authors sought to generate a synthetic extracellutar 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 extraceltutar 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/T1(blood)) 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 R1(bLood) 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 (R2 = 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. (J Am Coll Cardiol Img 2016;9:54-63) (C) 2016 by the American College of Cardiology Foundation.

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