Key result
A proposed normalized framework combining 2-D motion and extreme strains allowed for proper identification of regional wall motion abnormalities within interobserver variability.
A proposed normalized framework for assessing left ventricular function suggests that combining motion and extreme strains improves the detection of regional wall motion abnormalities.
Normalized motion-strain fusion may aid RWMA detection; leaves open prospective validation before clinical adoption.
A through description of the left ventricle functionality requires combining complementary regional scores. A main limitation is the lack of multiparametric normality models oriented to the assessment of regional wall motion abnormalities (RWMA). This paper covers two main topics involved in RWMA assessment. We propose a general framework allowing the fusion and comparison across subjects of different regional scores. Our framework is used to explore which combination of regional scores (including 2-D motion and strains) is better suited for RWMA detection. Our statistical analysis indicates that for a proper (within interobserver variability) identification of RWMA, models should consider motion and extreme strains.
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Garcia‐Barnés et al. (2010) studied Regional wall motion abnormalities (RWMA). Normalized framework combining regional scores (2-D motion and strains) was evaluated on Identification of regional wall motion abnormalities. A proposed normalized framework combining 2-D motion and extreme strains allowed for proper identification of regional wall motion abnormalities within interobserver variability.
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