Comparison of myocardial blood flow estimates from dynamic contrast-enhanced magnetic resonance imaging obtained with three quantitative analysis methods.

Comparison of myocardial blood flow estimates from dynamic contrast-enhanced magnetic resonance imaging obtained with three quantitative analysis methods. Phys Med Biol. 2017 Dec 19;: Authors: Borrazzo C, Galea N, Pacilio M, Altabella L, Preziosi E, Carnì M, Ciolina F, Vullo F, Francone M, Catalano C, Carbone I Abstract Dynamic Contrast-Enhanced Cardiovascular Magnetic Resonance Imaging may quantitatively assess the Myocardial Blood Flow (MBF), recovering the tissue impulse-response function to transit of gadolinium bolus through myocardium. Several deconvolution techniques are available, using various models for the impulse-response. The method choice may influence the results, producing differences that have not been deeply investigated yet. Three methods for quantifying myocardial perfusion were compared: Fermi Function Modeling (FFM), Tofts Model (TM), and Gamma Function model (GF), the latter traditionally used in brain perfusion MRI. 30 human subjects were studied at rest, and Cold Pressor Test stress (submerging hands in ice-cold water), injecting a single-bolus of gadolinium of 0.1±0.05 mmol/kg. Perfusion estimate differences among methods were analysed by paired comparisons with Student's t-test, linear regression analysis, and Bland-Altman plots, and using also the two-way ANOVA, considering the MBF values of all patients grouped according to two categories: calculation method and rest/stress conditions. Perfusion estimates o...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research

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