Key result
New graphic-based angiographic model beats four other methods in detecting wall motion abnormalities with ~98% specificity.
Why the study?
Does a new computer graphic-based angiographic model improve the detection of regional wall motion abnormalities compared to other systems in patients with coronary artery disease?
Population
211 patients, comprising 70 patients with no demonstrable heart disease for model derivation, and 141…
Comparison
A new computer graphic-based angiographic model… vs Four other wall motion systems and subjective…
Design
Cross-sectional
Authors
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May aid angiographic detection of wall motion abnormalities; leaves open clinical adoption pending prospective validation.
Observational (n=211)
Does a new computer graphic-based angiographic model improve the detection of regional wall motion abnormalities compared to other systems in patients with coronary artery disease?
p-value: p=<0.05
A novel computer graphic-based angiographic model provides high sensitivity and specificity for detecting regional wall motion abnormalities, outperforming existing methods.
Shepertycki et al. (1983) conducted an observational in Coronary artery disease (n=211). Computer graphic-based angiographic model vs. Four other wall motion systems was evaluated on Agreement with subjective assessment of regional wall motion abnormalities (p=<0.05). A new computer graphic-based angiographic model showed significantly better agreement with subjective assessment than four other methods (P<0.05), with 87.5% sensitivity and 97.9% specificity.
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