Authors: Lucas H Timmins David S Molony Parham Eshtehardi Emad RasoulArzrumly Adrian Lam Olivia Y Hung Michael C McDaniel John N Oshinski Don P Giddens Habib Samady
Publish Date: 2016/11/14
Volume: 33, Issue: 1, Pages: 13-24
Abstract
The goal of this study was to evaluate the accuracy of a novel algorithm that circumferentially coregisters serial virtual histologyintravascular ultrasound VHIVUS data for the focal assessment of coronary atherosclerosis progression Thirtythree patients with an abnormal noninvasive cardiac stress test or stable angina underwent baseline and followup 6 or 12 months invasive evaluation that included acquisition of VHIVUS image data Baseline and followup image pairs n = 4194 were automatically coregistered in the circumferential direction via a multivariate crosscorrelation algorithm Algorithm stability and accuracy were assessed by comparing results from multiple iterations of the algorithm iteration 1 vs iteration 2 and against values determined manually by two expert VHIVUS readers algorithm vs two expert readers Furthermore focal plaque progression values were compared between the algorithm and expert readers following coregistration by the independently determined angles Strong agreement in circumferential coregistration angles were observed across multiple iterations of the algorithm stability and between the algorithm and expert readers accuracy all concordance correlation coefficients 098 Furthermore circumferential coregistration angles determined by the algorithm were not statistically when compared to values determined by two expert readers p = 0 99 Bland–Altman analysis indicated minimal bias when comparing focal VHIVUS defined plaque progression in corresponding sectors following circumferential coregistration between the algorithm and expert readers Finally average differences in changes in total plaque and constituent areas between the algorithm and readers were within the average range of difference between readers interobserver variability We present a stable and validated algorithm to automatically circumferentially coregister serial VHIVUS imaging data for the focal quantification of coronary atherosclerosis progression
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