Objective
When significant coronary lesions are identified by angiography, regional left ventricular (LV) contractile function often plays a role in determining candidacy for revascularization. To improve upon current subjective and non-quantitative metrics of regional LV function, we tested a z-score “normalization” of regional strain information quantified from clinically acquired high-resolution LV geometric datasets.
Methods
Test subjects (n=120) underwent cardiac MRI with multiple 3D strain parameters calculated from tissue tag-plane displacement data. Sixty normal volunteers contributed strain parameter data at each of 15,300 LV grid points to form a normal human strain database. Point-specific database comparisons were then made in 60 patients with documented coronary artery disease (CAD) by angiography. Patient-specific color-coded 3D LV maps of z-score normalized contractile function were generated.
Results
Upon blinded clinical review, 55% (33/60) of the CAD patients had significant regional contractile abnormalities by one of three “gold standard” criteria 1) Q waves on ECG; 2) infarct on radionuclide SPECT; or 3) akinesia or dyskinesia on echocardiography. Consistency between all gold standard metrics was found in only 19% (6/31) of CAD patients who had at least two available metrics. Blinded MRI-based multi-parametric strain z-score localization of contractile abnormalities was accurate in 89% (ECG), 97% (SPECT), and 95% (echocardiography).
Conclusions
Non-subjective normalization of regional LV contractile function by z-score calculation from a normal human strain database can localize and quantitatively display regional wall motion abnormalities in CAD patients. This high-resolution localization of regional wall motion abnormalities may help improve the accuracy of therapeutic intervention in CAD patients.