Key result
Deformable, motion-coherent modeling based on CT angiography showed that increasing heart rates significantly decreased longitudinal strain (P=0.009) and increased axial deformation (P<0.001).
Why the study?
Does deformable, motion-coherent modeling based on ECG-gated multidetector CT angiography provide quantifiable information on aortic wall stress as a function of patient-specific cardiovascular parameters?
Observational (n=250)
Does deformable, motion-coherent modeling based on ECG-gated multidetector CT angiography provide quantifiable information on aortic wall stress as a function of patient-specific cardiovascular parameters?
Deformable, motion-coherent modeling using ECG-gated CT angiography is feasible for providing quantitative information on physiological motion and wall stress of the aorta under various hemodynamic conditions.
CT aortic strain measurements warrant heart rate consideration; supports deformable modeling research but leaves open clinical validation.
Purpose To investigate the feasibility of deformable, motion-coherent modeling based on electrocardiography-gated multidetector computed tomographic (CT) angiography of the thoracic aorta and to evaluate whether quantifiable information on aortic wall stress as a function of patient-specific cardiovascular parameters can be gained. Materials and Methods For this institutional review board-approved, HIPAA-compliant study, thoracic electrocardiography-gated dual-source multidetector CT angiographic images were used from 250 prospectively enrolled patients (150 men, 100 women; mean age, 79 years). On reconstructed 50-phase CT angiographic images, aortic strain and deformation were determined at seven cardiac and aortic locations. One-way analysis of variance was used by assessing the magnitude for longitudinal and axial strain and axial deformation, as well as time-resolved peak and maxima count for longitudinal strain and axial deformation. Interdependencies between aortic strain and deformation with extracted hemodynamic parameters were evaluated. Results With increasing heart rates, there was a significant decrease in longitudinal strain (P = .009, R(2) = 0.95) and a decrease in the number of longitudinal strain peaks (P < .001, R(2) = 0.79); however, a significant increase in axial deformation (P < .001, R(2) = 0.31) and axial strain (P = .009, R(2) = 0.61) was observed. Increasing aortic blood velocity led to increased longitudinal strain (P = .018, R(2) = 0.42) and longitudinal strain peak counts (P = .011, R(2) = 0.48). Pronounced motion in the longitudinal direction limited motion in the axial plane (P < .019, R(2) = 0.29-0.31). Conclusion The results of this study render a clinical basis and provide proof of principle for the use of deformable, motion-coherent modeling to provide quantitative information on physiological motion of the aorta under various hemodynamic circumstances. (©) RSNA, 2016 Online supplemental material is available for this article.
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Mileto et al. (2016) reported an observational. Deformable, motion-coherent modeling based on electrocardiography-gated multidetector CT angiography was evaluated on Aortic strain and deformation as a function of patient-specific cardiovascular parameters. Deformable, motion-coherent modeling based on CT angiography showed that increasing heart rates significantly decreased longitudinal strain (P=0.009) and increased axial deformation (P<0.001).
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