Optical Coherence Tomography to Predict Plaque Progression

Author(s):  
Fernando Alfonso ◽  
Francesco Prati
2021 ◽  
Vol 78 (12) ◽  
pp. 1275-1287
Author(s):  
Tom Adriaenssens ◽  
Marc P. Allard-Ratick ◽  
Vikas Thondapu ◽  
Tomoyo Sugiyama ◽  
O. Christopher Raffel ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Tomaniak ◽  
E.M.J Hartman ◽  
M.N Tovar Forero ◽  
J.J Wentzel ◽  
J Daemen

Abstract Background Serial intravascular ultrasound (IVUS) studies demonstrated patterns of either plaque progression, regression or stabilization during pharmacotherapy including statin. At present little is known on specific plaque characteristics that are associated with excessive plaque growth. Purpose To evaluate the utility of near infrared spectroscopy (NIRS) and optical coherence tomography (OCT) to identify characteristics of non-culprit plaques associated with an increase in wall thickness (WT). Methods In this prospective, single-center study, patients with acute coronary syndrome (ACS) underwent, after successful treatment of the culprit lesions, both NIRS-IVUS and OCT assessment of a non-culprit artery at baseline and 12-month follow-up. For each vessel, 1.5-mm segments were identified, matched and divided into 45° sectors. A sector was considered as NIRS positive or labeled as OCT-detected fibrous cap atheroma (FCA), lipid rich or fibrous plaque when >75% of the sector area exhibited NIRS signal or specific OCT-detected feature. The relationship between change in IVUS-based WT, and the presence of NIRS positive signal or OCT-detected plaque components (FCA, lipid rich, fibrous) was evaluated using mixed ANCOVA, with NIRS status and OCT plaque components as fixed factors, and patient as random factor, adjusting for clustering effect of the data. All analyses of plaque WT change were adjusted for baseline WT. To examine the value of NIRS and OCT-detected plaque components in predicting plaque progression, a logistic mixed model was built with plaque progression defined as WT increase >0.2mm over the 12-month follow-up. Results A total of 38 patients (92% male, 21% diabetic) with 9167 matched sectors were analyzed at baseline and 12 months. Mean change in WT between baseline and 12 months was 0.014mm (95% confidence interval [CI] 0.011–0.018, p<0.001). Positive NIRS sectors showed more pronounced plaque progression than NIRS negative sectors (0.057mm, 95% CI 0.032–0.084 vs 0.014mm 95% CI 0.010–0.017, p=0.001) (Figure 1). FCA showed significant progression of WT over the 12-month follow-up (0.104mm, 95% CI 0.007–0.201), whereas a decrease in WT was observed in sectors with fibrous tissue (−0.031mm, 95% CI 0.048–0.014) (p=0.022). Baseline NIRS positive (OR 1.88, 95% CI 1.34–2.64) and OCT-detected lipid rich plaque (OR 1.47, 95% CI 1.20–1.81) were associated with 12-month plaque progression (>0.2mm) by logistic regression. Conclusions Positive NIRS signal and OCT-detected lipid plaque components imaged at baseline in non-culprit coronary arteries of patients presenting with ACS could identify vessel wall regions prone to plaque progression over a 12-month period. Figure 1. Plaque progression and NIRS Funding Acknowledgement Type of funding source: Other. Main funding source(s): M. Tomaniak acknowledges funding received as a Laureate of the European Society of Cardiology Research and Training Programme in the form of the ESC 2018 Grant.


Author(s):  
Konstantinos Toutouzas ◽  
Antonios Karanasos ◽  
Christodoulos Stefanadis

Within this chapter, the research utility of OCT is detailed. Issues like the potential of OCT for plaque characterization are covered. Additionally, a comparative evaluation of OCT with other invasive imaging techniques, as far as plaque components identification is concerned, is attempted. Finally, the role of OCT for the evaluation of plaque progression is discussed as well as its part in the future research arena.


2019 ◽  
Vol 141 (9) ◽  
Author(s):  
Xiaoya Guo ◽  
Don P. Giddens ◽  
David Molony ◽  
Chun Yang ◽  
Habib Samady ◽  
...  

Medical image resolution has been a serious limitation in plaque progression research. A modeling approach combining intravascular ultrasound (IVUS) and optical coherence tomography (OCT) was introduced and patient follow-up IVUS and OCT data were acquired to construct three-dimensional (3D) coronary models for plaque progression investigations. Baseline and follow-up in vivo IVUS and OCT coronary plaque data were acquired from one patient with 105 matched slices selected for model construction. 3D fluid–structure interaction (FSI) models based on IVUS and OCT data (denoted as IVUS + OCT model) were constructed to obtain stress/strain and wall shear stress (WSS) for plaque progression prediction. IVUS-based IVUS50 and IVUS200 models were constructed for comparison with cap thickness set as 50 and 200 μm, respectively. Lumen area increase (LAI), plaque area increase (PAI), and plaque burden increase (PBI) were chosen to measure plaque progression. The least squares support vector machine (LS-SVM) method was employed for plaque progression prediction using 19 risk factors. For IVUS + OCT model with LAI, PAI, and PBI, the best single predictor was plaque strain, local plaque stress, and minimal cap thickness, with prediction accuracy as 0.766, 0.838, and 0.890, respectively; the prediction accuracy using best combinations of 19 factors was 0.911, 0.881, and 0.905, respectively. Compared to IVUS + OCT model, IVUS50, and IVUS200 models had errors ranging from 1% to 66.5% in quantifying cap thickness, stress, strain and prediction accuracies. WSS showed relatively lower prediction accuracy compared to other predictors in all nine prediction studies.


2007 ◽  
Vol 177 (4S) ◽  
pp. 358-359 ◽  
Author(s):  
Christopher S. Lee ◽  
Alek Mishail ◽  
Jason M. Kim ◽  
Alexander Kirshenbaum ◽  
Howard L. Adler ◽  
...  

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