Ex vivo validation of 45 MHz intravascular ultrasound backscatter tissue characterization

CA Campos, RJ Fedewa, Hector Garcia Garcia, DG Vince, MP Margolis, PA Lemos, GW Stone, PWJC (Patrick) Serruys, A Nair

Research output: Contribution to journalArticleAcademic

Abstract

Aims The objectives of the present study are to describe the algorithm for VH (R) IVUS using the 45-MHz rotational IVUS catheter and the associated ex vivo validation in comparison to the gold standard histology. Methods and results The first phase of the present study was to construct the 45 MHz VH IVUS algorithm by using a total of 55 human coronary artery specimens [111 independent coronary lesions and 510 homogenous regions of interest (ROIs)], obtained at autopsy. Regions were selected from histology and matched with their corresponding IVUS data to build the plaque classification system using spectral analysis and statistical random forests. In the second phase, the ex vivo validation of the VH IVUS algorithm assessed a total of 1060 ROIs (120 lesions from 60 coronary arteries) in comparison with histology. In an independent manner, two interventional cardiologists also classified a randomly selected subset of the ROIs for assessment of inter-and intra-observer reproducibility of VH IVUS image interpretation. When including all ROIs, the predictive accuracies were 90.8% for fibrous tissue, 85.8% for fibro fatty tissue, 88.3% for necrotic core, and 88.0% for dense calcium. The exclusion of ROIs in the acoustically attenuated areas improved the predictive accuracies, ranging from 91.9 to 96.8%. The independent analysis of randomly selected 253 ROIs showed substantial agreement for inter-observer (k = 0.66) and intra-observer (k = 0.88) reproducibility. Conclusion Tissue classification by 45 MHzVHIVUS technology, when not influenced by calcium-induced acoustic attenuation, provided combined tissue accuracy >88% to identify tissue types compared with the gold standard histologic assessment, with high inter-and intra-observer reproducibility.
Original languageUndefined/Unknown
Pages (from-to)1112-1119
Number of pages8
JournalEuropean Heart Journal-Cardiovascular Imaging
Volume16
Issue number10
DOIs
Publication statusPublished - 2015

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