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Fibrous Cap Thickness Predicts Stable Coronary Plaque Progression: Early Clinical Validation of a Semiautomated OCT Technology

Authors :
Nicholas Kassis
Tomas Kovarnik
Zhi Chen
Joseph R. Weber
Brendan Martin
Amir Darki
Vincent Woo
Andreas Wahle
Milan Sonka
John J. Lopez
Source :
Journal of the Society for Cardiovascular AngiographyInterventions. 1(5)
Publication Year :
2022

Abstract

Imaging-based characteristics associated with the progression of stable coronary atherosclerotic lesions are poorly defined. Utilizing a combination of optical coherence tomography (OCT) and intravascular ultrasound (IVUS) imaging, we aimed to characterize the lesions prone to progression through clinical validation of a semiautomated OCT computational program.Patients with stable coronary artery disease underwent nonculprit vessel imaging with IVUS and OCT at baseline and IVUS at the 12-month follow-up. After coregistration of baseline and follow-up IVUS images, paired 5-mm segments from each patient were identified, demonstrating the greatest plaque progression and regression as measured by the change in plaque burden. Experienced readers identified plaque features on corresponding baseline OCT segments, and predictors of plaque progression were assessed by multivariable analysis. Each segment then underwent volumetric assessment of the fibrous cap (FC) using proprietary software.Among 23 patients (70% men; median age, 67 years), experienced-reader analysis demonstrated that for every 100 μm increase in mean FC thickness, plaques were 87% less likely to progress (A semiautomated FC analysis tool confirmed the significant association between thinner FC and stable coronary plaque progression along entire vessel segments, illustrating the diffuse nature of FC thinning and suggesting a future clinical role in predicting the progression of stable coronary artery disease.

Details

ISSN :
27729303
Volume :
1
Issue :
5
Database :
OpenAIRE
Journal :
Journal of the Society for Cardiovascular AngiographyInterventions
Accession number :
edsair.doi.dedup.....ce3ae78c12cbccda713822b52a6b50b3