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• W2801444784 abstract "Background Quantitative coronary angiography (QCA) is the gold standard for evaluating correct stenting, despite its limitation in recognizing features indicative of suboptimal deployment. This subanalysis of the CLI-OPCI II registry addressed the role of optical coherence tomography (OCT) to verify whether suboptimal OCT deployment occurs in the presence of an optimal angiographic result. Patients and methods We retrospectively analyzed 125 lesions in the 105 patients with major adverse cardiac events of the CLI-OPCI II. Every lesion was evaluated with OCT and angiography, including visual and QCA assessment. Optimal angiographic result was defined as residual stenosis of less than 30% at QCA and absence of haziness at visual angiography. The following OCT features of suboptimal stenting were considered: edge dissection (linear rim of tissue with a width >200 μm), reference lumen narrowing (lumen area <4.5 mm2 in the presence of significant residual plaque adjacent to stent endings), and in-stent narrowing (minimum lumen area<4.5 mm2). Results Among the 125 lesions, 105 showed an optimal angiographic result. At OCT, a suboptimal positioning was common (56%). In the group of optimal angiographic results, OCT showed a suboptimal deployment in 54% of cases. Minimum lumen area of less than 4.5 mm2, distal and proximal reference narrowing, and distal edge dissections were found in 30, 25, 15, and 7% of cases, respectively. Conclusion This substudy of the CLI-OPCI II showed that in patients with major adverse cardiac events, the presence of an optimal postintervention angiographic appearance with suboptimal OCT metrics is a frequent finding. Our data further support the effectiveness of OCT, which provide valuable information even in the presence of optimal poststenting angiographic results." @default.
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• W2801444784 date "2018-08-01" @default.
• W2801444784 modified "2023-10-16" @default.
• W2801444784 title "Role of optical coherence tomography in identifying sub-optimal stent positioning and predicting major adverse cardiac events in a comparative study with angiography" @default.
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• W2801444784 doi "https://doi.org/10.1097/mca.0000000000000633" @default.
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