Comparison of two ellipsoidal models for the estimation of left ventricular end?systolic stress in patients with significant coronary artery disease

Zeinab Alsadat Ahmadi, Manijhe Mokhtari Dizaji, Anita Sadeghpour, Hamideh Khesali, Ata Firouzi

Abstract


Background: The shape of the left ventricle (LV) is an important index to explore cardiac pathophysiology. A comparison was provided to estimate circumferential, longitudinal, and radial wall stress in LV based on the thick?walled ellipsoidal models
of Mirsky and Ghista?Sandler for discriminating significant coronary artery disease (CAD) patients from no CAD patients.

Materials and Methods: According to the angiography findings, 82 patients with CAD were divided into two groups: 25 patients without significant CAD and 57 patients with significant CAD of single vessel and multivessel. An ellipsoidal LV geometry was used to calculate end?systolic passive stress as the mechanical behavior of LV. Echocardiographic views?based measurements of LV diameters used to estimate the end?systolic wall stress.

Results: Circumferential wall stress between the control group and significant CAD groups was significantly elevated for the Ghista model (P = 0.008); also, radial and longitudinal stress of the multi?vessel CAD group was significantly higher than the control group (P = 0.01 and P = 0.005, respectively). All stress parameters of the multi?vessel CAD group were statistically significant compared to the control group for the Mirsky model. Receiver operating characteristics curve analysis was shown the circumferential stress of multi?vessel CAD with an area under the curve (AUC) of 0.736 for the Ghista model and an AUC of 0.742 for the Mirsky model.

Conclusion: These results indicated that Ghista and Mirsky model estimates of
circumferential passive stress were the potential biomechanical markers to predict patients with multi?vessel CAD. It could be a noninvasive and helpful tool to quantify the contractility of LV.


Keywords


Ellipsoidal model, thick walled, wall stress

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