| 2 | Limitations of Quantitative Blush Evaluator(QuBE)as myocardial perfusion assessment method on digital coronary angiograms显示文摘Background and Aim: Quantitative Blush Evaluator (QuBE) is a software application that allows quantifyingmyocardial perfusion in coronary angiograms after a percutaneous coronary intervention. QuBE has somelimitations such as the application of a crude filter to remove large scale structures and the absence of correctionfor cardiac motion. This study investigates the extent of these limitations and we hypothesize that enhancedimage analysis methods can provide improvements.Methods: We calculated QuBE scores of 117 patients from the HEBE Trial and determined its association withthe Myocardial Blush Grade (MBG) score. Accuracy of large-structure removal is qualitatively assessed forvarious sizes of a median filter. The influence of cardiac motion was evaluated by comparing the blush curveand QuBE score of the native QuBE with manually motion-corrected QuBE for 40 patients. The effect ofdifferent kernel sizes and motion correction to a potential improvement of the association between QuBE scoreand MBG was studied.Results: In our population, there was no significant association between QuBE score and MBG (p = 0.14).Median filters of various kernel sizes were unable to remove large structure related noise. Variations in filtersand cardiac movement correction did not result in an improvement in the association with MBG scores(observer 1: p = 0.66;observer 2: p = 0.72).Conclusions: There was no significant association of QuBE with MBG scores in our population, whichsuggests that QuBE is not suitable for a quantitative assessment of myocardial perfusion. Alternative kernelsizes for the large structure removal filter and cardiac motion correction did not improve QuBE performance.Relevance for patients: Further improvements of QuBE to overcome its inherent limitations are necessary inorder to establish QuBE as a reliable myocardial perfusion assessment method. | Haryadi Prasetya Marcel A.M.Beijk Praneeta R.Konduri Thabiso Epema Alexander Hirsch Pim van der Harst Ed van Bavel Bas A.J.M.de Mol Henk A.Marquering | 2017 | Journal of Clinical & Translational Research2017，3，4： | 0 |
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