Key result
Computer-based image analysis of optical coherence tomography images differentiated red and white intracoronary thrombi with high accuracy, yielding an area under the curve of 0.96 for mean backscatter.
Why the study?
Does computer image analysis using QCU-CMS software accurately differentiate red and white intracoronary thrombi compared to visual assessment in patients with acute STEMI?
Cross-Sectional (n=30)
Yes
Does computer image analysis using QCU-CMS software accurately differentiate red and white intracoronary thrombi compared to visual assessment in patients with acute STEMI?
Computer-based analysis of OCT images provides a highly sensitive and specific, less user-dependent method to characterize in vivo intracoronary thrombi compared to visual assessment.
May reduce subjectivity in OCT thrombus assessment during STEMI; leaves open prospective validation before clinical adoption.
Objectives: Analysis of intracoronary thrombus type by optical coherence tomography (OCT) imaging is highly subjective. We aimed to compare a newly developed image analysis method to subjective visual classification of thrombus type identified by OCT. Methods: Thirty patients with acute ST elevation myocardial infarction were included. Thrombus type visually classified by two independent readers was compared with analysis using QCU-CMSïÃÂÂÂàsoftware. Results: Repeatability of the computer-based measurements was good. By using a ROC, area under curve values for discrimination of white and red thrombi were 0.92 (95% confidence intervals (CI) 0.83-1.00) for median attenuation, 0.96 (95% CI 0.89-1.00) for mean backscatter and 0.96 (95% CI 0.89-1.00) for mean grayscale intensity. Median attenuation of 0.57 mm-1 (sensitivity 100%, specificity 71%), mean backscatter of 5.35 (sensitivity 92%, specificity 94%) and mean grayscale intensity of 120.1 (sensitivity 85%, specificity 100%) were identified as the best cut-off values to differentiate between red and white thrombi. Conclusions: Attenuation, backscatter and grayscale intensity of thrombi in OCT images differentiated red and white thrombi with high sensitivity and specificity. Measurement of these continuous parameters can be used as a less user-dependent method to characterize in vivo thrombi. The clinical significance of these findings needs to be tested in further studies.
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Kaivosoja et al. (2018) conducted a cross-sectional in Acute ST elevation myocardial infarction (STEMI) (n=30). Computer image analysis (QCU-CMS software) vs. Visual assessment was evaluated on Discrimination of white and red thrombi using mean backscatter (AUC 0.96, 95% CI 0.89-1.00). Computer-based image analysis of optical coherence tomography images differentiated red and white intracoronary thrombi with high accuracy, yielding an area under the curve of 0.96 for mean backscatter.
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