Analyzing the Application of Myocardial Blood Flow Index in the Diagnosis of In-Stent Stenosis

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background

 In-stent restenosis (ISR) usually develops from stent neointimal hyperplasia (SNH), which will seriously weaken the effect of treatment. In this study, both SNH and ISR were classified as in-stent stenosis (ISS), and a non-invasive parameter – myocardial blood flow index (MBFI) was used to analyze its value in the diagnosis of stent abnormalities.

Objectives

 Analyzing the application of MBFI in the diagnosis of ISS.

Patients and Methods

 Clinical follow-up data for 572 patients with drug-eluting stent (DES) was collected continuously. Ninety cases were screened with the protocol of computed coronary tomography angiography (CCTA) and invasive coronary angiography (ICA) for the unrelieved symptoms. In-stent abnormalities included SNH (ISS < 50%) and ISR (ISS ≥ 50%). The ROC curve was analyzed using the optimal cutoff value of MBFI to evaluate the in-stent abnormalities. t-test of independent samples was used for the comparison data with normal distribution, and chi-square test was used for comparison of nominal variables P < 0.05 was considered statistically significant.

Results

 Frequency of ISS was not statistically different between genders (χ2 = 0.105) (P = 0.7463). The optimal cutoff value was 0.082 with the area under the curve (AUC) of 0.829 (P < 0.001). The sensitivity, specificity, positive predictive value, and negative predictive value were 91.4%, 89.1%, 84.2%, and 94.2%, respectively, and the accuracy was 90.0%. Among 39 cases with MBFI ≤ 0.082, 34 (87.18%, 34/39) were with ISS, including 18 (20%, 18/90) of SNH, and 16 (17.9%, 16/90) of ISR. In the 39 cases with MBFI ≤ 0.082, there were eight (20.5%, 8/39) presented new lesions, and seven (17.9%, 7/39) presented severe lesions.

Conclusion

 MBFI could be used for evaluating ISS, and more attention should be paid to the new accompanying lesions for the high risk of severe lesions.
 

Language:
English
Published:
Iranian Journal of Radiology, Volume:18 Issue: 1, Jan 2021
Page:
3
https://magiran.com/p2235923  
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