The heart’s left ventricle (LV) has an intrinsically optimal ellipsoidal shape that efficiently contributes to its contractility. We start with this below figure,depicting the LV simulating geometrical model, as a prolate ellipsoid truncated 50% of the distance from equator to base. Based on this figure, we define:
LV shape factor: S = SA/LA (1)
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)
Figure. LV ellipsoidal model geometry: SA = AP/2 and LA = BA/1.5, where AP and BA are the major and minor axes of the LV ellipsoid.
The values of SA and LA can be determined from the echocardiographic monitored values of the LV volume (V) and myocardium volume (VM), given by: VM = 9 π [2 LA x SA² + SA²]h/8 (2) V = 9 π SA² LA/8 (3) wherein V is LV volume, VM is myocardial volume, h is wall-thickness, LA and SA are endocardial major and minor radii. We then define V*= VM /V. Based on the left ventricular ellipsoidal shell model, we can express the circumferential pressure-normalized LV wall stress * (= /P), at the waist of the LV ellipsoidal model, as: (4) This equation provides *as a function of shape factor S, for a given V*. Then the LV contractility index is given by d*/dtmaxwhich is a function of both S and V* (= VM /V). We can thereby employ this LV contractility index which is also shown to be closely related to the conventional contractility index dP/dtmax. Now, based on the 3-d reconstructed surface images of normal LV and ischemic cardiomyopathic (ICM) LV, we have noted that a normal LV is more ellipsoidal in shape compared to the ICM LV. We have also noted that (i) the normal LV becomes more ellipsoidal from end-diastole (ED) to end-systole (ES)with greater reduction in shape factor (S), and (ii) also smaller in size (i.e. greater decrease V and hence greater increase in V*, compared to the ICM LV. In other words, the shape & size factor (S/ V*) decreases far more from the start of ejection (se) to the end of ejection (ee) in the normal LV compared to the ICM LV. So, then based on all these findings, we can now define a simplistic and yet very effective LV Shape &Size Factor-based nondimensional Contractility Index (LVSCI): LVSCI = [(S/ V*)se - (S/ V*)ee ]/ (S/ V*)se x 100 % (5) where se denotes start of ejection and ee denotes end of ejection. Based on thclinical studies data, it is shown that (i) for Group 1 with normal contractility, LVSCI = 70 and the traditional contractility indexdP/dtmax= 1406 mmHg/s, whereas (ii) for Group 3, with poor contractility LVSCI = 47 and dP/dtmax= 948 mmHg/s. This represents a big testimony of the validity and novelty of our LV shape & size based nondimensional contractility Index LVSCI. which can be totally based on LV echocardiographic imaging of LV volume and its myocardial volume only.