The aim of this study was to investigate the incremental value of CMR-based 3D
strain and to test the hypothesis that 3D strain is superior to 1D or 2D strain analysis in the assessment of viability using a porcine model of infarction.
Methods: Infarction was induced surgically in 20 farm pigs. Cine, late gadolinium enhancement, and CMR tagging images were acquired at 11 days before (baseline), and 11 days (early) and 1 month (late) after induction of infarct. Harmonic phase analysis was performed to measure circumferential, longitudinal, and radial strains in myocardial segments, which were defined based on the transmurality of delayed enhancement. Univariate, bivariate, and multivariate logistic regression models of strain parameters were created and analyzed to compare the Selleck Crenigacestat overall BMS-777607 solubility dmso diagnostic accuracy of 3D strain analysis with 1D and 2D analyses in identifying the infarct and its adjacent regions from healthy myocardium.
Results: 3D strain differed significantly in infarct, adjacent, and remote segments (p < 0.05) at early and late post-MI. In univariate, bivariate, and multivariate analyses, circumferential, longitudinal, and radial strains were significant factors (p < 0.001) in
differentiation of infarct and adjacent segments from baseline values. In identification of adjacent segments, receiver operating characteristic analysis using the 3D strain multivariate model demonstrated a significant improvement (p < 0.01) in overall diagnostic accuracy in comparison with 2D (circumferential and radial) selleck chemicals llc and 1D (circumferential) models
(3D: 96%, 2D: 81%, and 1D: 71%). A similar trend was observed in identification of infarct segments.
Conclusions: Cumulative 3D strain information accurately identifies infarcts and their neighboring regions from healthy myocardium. The 3D interrogation of myocardial contractility provides incremental diagnostic accuracy in delineating the dysfunctional and nonviable myocardium in comparison with 1D or 2D quantification of strain. The infarct neighboring regions are the major beneficiaries of the 3D assessment of regional strain.”
“Objectives: Given the growing prevalence of asthma in USA, it is important to understand its national burden from the patient’s perspective. The objective of this research is to examine the national burden of asthma and poor asthma control on health function, health perception and preference-based health-related quality of life (HRQL). Methods: The Medical Expenditure Panel Survey (MEPS), a nationally representative survey, was used to estimate the impact of asthma and indicators of poor asthma control on health function, self-rated health perception and preference-based HRQL using multivariate regression methods controlling for socioeconomic, clinical and demographic characteristics.