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Get Free AccessThe minimum fibrous cap thickness (FCT) is considered a major criterion of coronary plaque vulnerability according to autopsy studies. We aimed to assess the reproducibility in the measurement of the optical coherence tomography (OCT)-detected minimum FCT and the agreement in the classification of thin-cap fibroatheroma (TCFA), by a software-based semi-automatic method compared with the manual method.A total of 50 frames with fibroatheromas (FA) were randomly selected from the Integrated Biomarker Imaging Study-4 (IBIS-4). Two experienced OCT analysts independently measured the minimum FCT at two different time points, manually and by three different semi-automatic software-based algorithms, based on the assessment of light intensity along the axial scan line. A TCFA was defined as an FA with minimum FCT <65 μm. The inter- and intra-observer reproducibility of the manual measurement of the minimum FCT was moderate with an intra-class correlation coefficient (ICC) of 0.71 and 0.79, respectively. The corresponding ICCs by either one of the three semi-automatic algorithms were 0.99. When categorising FA according to the minimum FCT based on the manual assessment, the inter- and intra-observer agreement was poor (κ=0.23) and moderate (κ=0.50), respectively. In contrast, the semi-automatic assessment showed perfect agreement for both inter- and intra-observer assessments (κ=0.90-1.00 and 1.00, respectively).While semi-automatic assessment of FCT and TCFA classification was associated with excellent reproducibility and agreement, manual measurements were associated with a moderate reproducibility and agreement in the quantification of FCT and classification of TCFA.
Maria Radu, Kyohei Yamaji, Héctor M. García‐García, Serge Zaugg, Masanori Taniwaki, Konstantinos C. Koskinas, Patrick W. Serruys, Stephan Windecker, Jouke Dijkstra, Lorenz Räber (2016). Variability in the measurement of minimum fibrous cap thickness and reproducibility of fibroatheroma classification by optical coherence tomography using manual versus semi-automatic assessment. EuroIntervention, 12(8), pp. e987-e997, DOI: 10.4244/eijv12i8a162.
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Type
Article
Year
2016
Authors
10
Datasets
0
Total Files
0
Language
English
Journal
EuroIntervention
DOI
10.4244/eijv12i8a162
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