Quantitative coronary arteriography and its assessment of atherosclerosis. Part II. Calculating stenosis flow reserve from percent diameter stenosis
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Published on: April 13, 2015
1Center for Clinical Cardiology and Research.
Insights
Quantitative coronary arteriography (QCA) is accurate but costly. This study found percent diameter stenosis (%DS) alone can predict stenosis flow reserve (SFR) using a simple quadratic equation, making hemodynamic assessment more accessible.
Area of Science:
- Cardiovascular imaging and hemodynamics
- Biomedical engineering and quantitative analysis
Background:
- Quantitative coronary arteriography (QCA) is accurate for assessing coronary artery disease but is expensive and requires specialized resources.
- Visual estimates are less costly but less precise, limiting clinical applicability.
- Previous work analyzed independent variables influencing coronary artery flow in 1040 segments.
Purpose of the Study:
- To determine the predictive importance of various independent variables for stenosis flow reserve (SFR).
- To establish a simplified method for calculating SFR in clinical practice.
- To reduce the cost and complexity associated with hemodynamic assessment of coronary lesions.
Main Methods:
- Analysis of variance (ANOVA) was employed to assess the significance of independent variables (e.g., % diameter stenosis, area stenosis, length, angles) on SFR.
- A quadratic relationship between %DS and SFR was investigated.
- A quadratic equation was developed and validated using 100 independent arterial stenoses.
Main Results:
- Only percent diameter stenosis (%DS) was statistically significant (P < 0.001) in predicting SFR.
- A strong quadratic relationship was observed between %DS and SFR (R2 = 0.903, r = 0.95).
- Calculated SFR using the quadratic formula showed high correlation (0.97) with QCA-determined SFR.
Conclusions:
- Calculated SFR directly from %DS enables integration into clinical settings for lesion severity assessment.
- This method allows simultaneous anatomical and hemodynamic interpretation of coronary lesions.
- The approach offers a cost-effective solution for physicians, hospitals, patients, and payers.
Background:
Assessment of coronary artery disease by quantitative coronary arteriography (QCA), while highly accurate, is more expensive than visual estimates of disease and involves the measurement of numerous variables requiring specialized equipment and personnel, thereby reducing its clinical applicability. In part 1 of this paper, the independent variables that influence flow of 1040 coronary artery segments were analyzed.
Methods And Results:
Using the information previously reported in part 1 of this paper, we set out to determine the importance of each of the independent variables (percent diameter and area stenosis, length, absolute diameter, entry and exit angles) in the prediction of stenosis flow reserve (SFR). Analysis of variance (ANOVA) was used to determine the importance of each of these variables, as well as their interactions, on the determination of SFR. Only percent diameter stenosis (%DS) demonstrated statistical significance (P < 0.001) in determining stenosis flow reserve. When the results of SFR were plotted against %DS, a quadratic relationship was demonstrated with an R2 value of 0.903 (r = 0.95). To verify the quadratic equation, the %DS of 100 different arterial stenoses was measured and used to calculate an SFR by the quadratic formula. The QCA and quadratic (calculated) determined SFRs compared favorably, with a correlation of 0.97.
Conclusions:
The ability to calculate SFR directly from measured %DS allows the incorporation of calculated SFR into the clinical setting, where cardiologists can interpret lesion severity both anatomically and hemodynamically. This incorporation can be done without additional cost to the physician, hospital, patient, or third-party payers.
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