Performance of Synthetic Extracellular Volume Fraction in Different Cardiac Phenotypes From a Prospective Cohort of Patients Referred for Cardiac Magnetic Resonance

Background A synthetic myocardial extracellular volume fraction (sECV) can be obtained without blood hematocrit (Hct) by using the linear relationship between Hct and the longitudinal relaxation time of blood. Concerns have been raised about the widespread clinical application of this approach. Purp...

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Veröffentlicht in:Journal of magnetic resonance imaging 2021-08, Vol.54 (2), p.429-439
Hauptverfasser: Censi, Stefano, Cimaglia, Paolo, Barbieri, Alessandra, Naldi, Monica, Ruggerini, Sara, Brogneri, Simona, Tonet, Elisabetta, Rapezzi, Claudio, Squeri, Angelo
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Sprache:eng
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Zusammenfassung:Background A synthetic myocardial extracellular volume fraction (sECV) can be obtained without blood hematocrit (Hct) by using the linear relationship between Hct and the longitudinal relaxation time of blood. Concerns have been raised about the widespread clinical application of this approach. Purpose To assess the relationship between measured ECV (m‐ECV) and sECV, using both a published model and a locally derived one. Study Type Single‐center, prospective. Field Strength/Sequence A 1.5 T/modified Look Locker (MOLLI) sequence. Subjects Fifty‐two healthy subjects and 113 patients (76 with and 37 without a hypertrophic cardiac phenotype). Assessment Three ECV values were obtained for each patient: 1) measured ECV (m‐ECV), using Hct from a venous blood sample; 2) Fent‐synthetic ECV (F‐sECV), using the equation proposed by Fent et al; and 3) Local‐synthetic ECV (L‐sECV), using the equation obtained from a local derivation cohort comprising 83 subjects. Statistical Tests Shapiro–Wilk test, analysis of variance, Kruskal Wallis test, Pearson correlation, Bland–Altman analysis, univariate and multivariable regression analysis. Results In the validation cohort (N = 82), Bland–Altmann analysis revealed an excellent agreement between m‐ECV and L‐sECV with a statistically insignificant bias (−0.1%, limits of agreement: −2.8% and 2.6%; P = 0.528), while in the overall population (N = 165), the mean bias between m‐ECV and F‐sECV was small but significant (1.2%, limits of agreement: −1.5% and 3.9%, P 
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.27556