scholarly journals A Multimodality Image-Based Fluid–Structure Interaction Modeling Approach for Prediction of Coronary Plaque Progression Using IVUS and Optical Coherence Tomography Data With Follow-Up

2019 ◽  
Vol 141 (9) ◽  
Author(s):  
Xiaoya Guo ◽  
Don P. Giddens ◽  
David Molony ◽  
Chun Yang ◽  
Habib Samady ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Prediction Accuracy ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Plaque Progression ◽  
Stress Strain ◽  
Structure Interaction ◽  
Area Increase ◽  
Progression Prediction

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.

scholarly journals Using Optical Coherence Tomography and Intravascular Ultrasound Imaging to Quantify Coronary Plaque Cap Stress/Strain and Progression: A Follow-Up Study Using 3D Thin-Layer Models

2021 ◽  
Vol 9 ◽  
Author(s):  
Rui Lv ◽  
Akiko Maehara ◽  
Mitsuaki Matsumura ◽  
Liang Wang ◽  
Caining Zhang ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Thin Layer ◽  
Intravascular Ultrasound ◽  
Coronary Plaque ◽  
Support Vector ◽  
Optical Coherence ◽  
Stress Strain ◽  
Thickness Change ◽  
The Individual

Accurate plaque cap thickness quantification and cap stress/strain calculations are of fundamental importance for vulnerable plaque research. To overcome uncertainties due to intravascular ultrasound (IVUS) resolution limitation, IVUS and optical coherence tomography (OCT) coronary plaque image data were combined together to obtain accurate and reliable cap thickness data, stress/strain calculations, and reliable plaque progression predictions. IVUS, OCT, and angiography baseline and follow-up data were collected from nine patients (mean age: 69; m: 5) at Cardiovascular Research Foundation with informed consent obtained. IVUS and OCT slices were coregistered and merged to form IVUS + OCT (IO) slices. A total of 114 matched slices (IVUS and OCT, baseline and follow-up) were obtained, and 3D thin-layer models were constructed to obtain stress and strain values. A generalized linear mixed model (GLMM) and least squares support vector machine (LSSVM) method were used to predict cap thickness change using nine morphological and mechanical risk factors. Prediction accuracies by all combinations (511) of those predictors with both IVUS and IO data were compared to identify optimal predictor(s) with their best accuracies. For the nine patients, the average of minimum cap thickness from IVUS was 0.17 mm, which was 26.08% lower than that from IO data (average = 0.23 mm). Patient variations of the individual errors ranged from ‒58.11 to 20.37%. For maximum cap stress between IO and IVUS, patient variations of the individual errors ranged from ‒30.40 to 46.17%. Patient variations of the individual errors of maximum cap strain values ranged from ‒19.90 to 17.65%. For the GLMM method, the optimal combination predictor using IO data had AUC (area under the ROC curve) = 0.926 and highest accuracy = 90.8%, vs. AUC = 0.783 and accuracy = 74.6% using IVUS data. For the LSSVM method, the best combination predictor using IO data had AUC = 0.838 and accuracy = 75.7%, vs. AUC = 0.780 and accuracy = 69.6% using IVUS data. This preliminary study demonstrated improved plaque cap progression prediction accuracy using accurate cap thickness data from IO slices and the differences in cap thickness, stress/strain values, and prediction results between IVUS and IO data. Large-scale studies are needed to verify our findings.

Optical Coherence Tomography of Coronary Plaque Progression and Destabilization

2021 ◽  
Vol 78 (12) ◽  
pp. 1275-1287
Author(s):  
Tom Adriaenssens ◽  
Marc P. Allard-Ratick ◽  
Vikas Thondapu ◽  
Tomoyo Sugiyama ◽  
O. Christopher Raffel ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Plaque Progression

scholarly journals Combining IVUS and Optical Coherence Tomography for More Accurate Coronary Cap Thickness Quantification and Stress/Strain Calculations: A Patient-Specific Three-Dimensional Fluid-Structure Interaction Modeling Approach

2018 ◽  
Vol 140 (4) ◽  
Author(s):  
Xiaoya Guo ◽  
Don P. Giddens ◽  
David Molony ◽  
Chun Yang ◽  
Habib Samady ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Fluid Structure Interaction ◽  
Three Dimensional ◽  
Patient Specific ◽  
Data Sets ◽  
Optical Coherence ◽  
Stress Strain ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Modeling Approach

Accurate cap thickness and stress/strain quantifications are of fundamental importance for vulnerable plaque research. Virtual histology intravascular ultrasound (VH-IVUS) sets cap thickness to zero when cap is under resolution limit and IVUS does not see it. An innovative modeling approach combining IVUS and optical coherence tomography (OCT) is introduced for cap thickness quantification and more accurate cap stress/strain calculations. In vivo IVUS and OCT coronary plaque data were acquired with informed consent obtained. IVUS and OCT images were merged to form the IVUS + OCT data set, with biplane angiography providing three-dimensional (3D) vessel curvature. For components where VH-IVUS set zero cap thickness (i.e., no cap), a cap was added with minimum cap thickness set as 50 and 180 μm to generate IVUS50 and IVUS180 data sets for model construction, respectively. 3D fluid–structure interaction (FSI) models based on IVUS + OCT, IVUS50, and IVUS180 data sets were constructed to investigate cap thickness impact on stress/strain calculations. Compared to IVUS + OCT, IVUS50 underestimated mean cap thickness (27 slices) by 34.5%, overestimated mean cap stress by 45.8%, (96.4 versus 66.1 kPa). IVUS50 maximum cap stress was 59.2% higher than that from IVUS + OCT model (564.2 versus 354.5 kPa). Differences between IVUS and IVUS + OCT models for cap strain and flow shear stress (FSS) were modest (cap strain <12%; FSS <6%). IVUS + OCT data and models could provide more accurate cap thickness and stress/strain calculations which will serve as basis for further plaque investigations.

scholarly journals Near infrared spectroscopy and optical coherence tomography derived plaque characteristics associated with increased plaque progression over 12-month follow up

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Tomaniak ◽  
E.M.J Hartman ◽  
M.N Tovar Forero ◽  
J.J Wentzel ◽  
J Daemen
Keyword(s):  
Optical Coherence Tomography ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Funding Source ◽  
Optical Coherence ◽  
Plaque Progression ◽  
Coronary Syndrome ◽  
Nirs Signal

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 &gt;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 &gt;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&lt;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 (&gt;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.

scholarly journals Micro Optical Coherence Tomography for Coronary Imaging

2021 ◽  
Vol 8 ◽  
Author(s):  
Kensuke Nishimiya ◽  
Guillermo Tearney
Keyword(s):  
Optical Coherence Tomography ◽  
New Technology ◽  
Healing Process ◽  
Coronary Plaque ◽  
Cellular Level ◽  
Optical Coherence ◽  
History Of ◽  
Intravascular Optical Coherence Tomography ◽  
Revascularization Therapy ◽  
Progression Prediction

Intravascular optical coherence tomography (IVOCT) that produces images with 10 μm resolution has emerged as a significant technology for evaluating coronary architectural morphology. Yet, many features that are relevant to coronary plaque pathogenesis can only be seen at the cellular level. This issue has motivated the development of a next-generation form of OCT imaging that offers higher resolution. One such technology that we review here is termed micro-OCT (μOCT) that enables the assessment of the cellular and subcellular morphology of human coronary atherosclerotic plaques. This chapter reviews recent advances and ongoing works regarding μOCT in the field of cardiology. This new technology has the potential to provide researchers and clinicians with a tool to better understand the natural history of coronary atherosclerosis, increase plaque progression prediction capabilities, and better assess the vessel healing process after revascularization therapy.

Abstract 383: Patient-Specific Coronary Models Combining Intravascular Ultrasound and Optical Coherence Tomography Lead to More Accurate Plaque Cap Thickness and Stress/Strain Quantifications

2017 ◽  
Vol 37 (suppl_1) ◽  
Author(s):  
Xiaoya Guo ◽  
David Monoly ◽  
Chun Yang ◽  
Habib Samady ◽  
Jie Zheng ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Intravascular Ultrasound ◽  
Coronary Plaque ◽  
Patient Specific ◽  
Data Sets ◽  
Optical Coherence ◽  
Stress Strain ◽  
Data Set ◽  
The Impact

Accurate cap thickness and stress/strain quantifications are of fundamental importance for vulnerable plaque research. An innovative modeling approach combining intravascular ultrasound (IVUS) and optical coherence tomography (OCT) is introduced for more accurate patient-specific coronary morphology and stress/strain calculations. In vivo IVUS and OCT coronary plaque data were acquired from two patients with informed consent obtained. IVUS and OCT images were segmented, co-registered, and merged to form the IVUS+OCT data set, with OCT providing accurate cap thickness. Biplane angiography provided 3D vessel curvature. Due to IVUS resolution (150 μm), original virtual histology (VH) IVUS data often had lipid core exposed to lumen since it sets cap thickness as zero when cap thickness <150 μm. VH-IVUS data were processed with minimum cap thickness set as 50 and 180 μm to generate IVUS50 and IVUS180 data sets for modeling use. 3D fluid-structure interaction models based on IVUS+OCT, IVUS50 and IVUS180 data sets were constructed to investigate the impact of OCT cap thickness improvement on stress/strain calculations. Figure 1 is a brief summary of results from 27 slices with cap covering lipid cores from 2 patients. Mean cap thickness (unit: mm) from Patient 1 was 0.353 (OCT), 0.201 (IVUS50), and 0.329 (IVUS180), respectively. Patient 2 mean cap thickness was 0.320 (OCT), 0.224 (IVUS50), and 0.285 (IVUS180). IVUS50 underestimated cap thickness (27 slices) by 34.5%, compared to OCT cap values. IVUS50 overestimated mean cap stress (27 slices) by 45.8%, compared to OCT cap stress (96.4 vs. 66.1 kPa). IVUS50 maximum cap stress was 59.2% higher than that from IVUS+OCT model (564.2 vs. 354.5 kPa). Differences between IVUS and IVUS+OCT models for mean cap strain and flow shear stress were modest (cap strain: <12%; FSS <2%). Conclusion: IVUS+OCT data and models could provide more accurate cap thickness and stress/strain calculations which will serve as basis for plaque research.

Inner Retinal Morphology and Visual Outcomes in Idiopathic Epiretinal Membrane Surgery: A Retrospective Optical Coherence Tomography Study

2021 ◽  
pp. 247412642198961
Author(s):  
Ioannis S. Dimopoulos ◽  
Michael Dollin
Keyword(s):  
Optical Coherence Tomography ◽  
Epiretinal Membrane ◽  
Strong Predictor ◽  
Plexiform Layer ◽  
Inner Plexiform Layer ◽  
Optical Coherence ◽  
Visual Outcomes ◽  
Retinal Pathology

Purpose: Epiretinal membrane (ERM) is a common retinal finding for patients older than 50 years. Disorganization of the retinal inner layers (DRIL) has emerged as a novel predictor of poor visual acuity (VA) in eyes with inner retinal pathology. The aim of our study is to correlate preoperative DRIL with visual outcomes after ERM surgery. Methods: Medical records and optical coherence tomography (OCT) images of 81 pseudophakic patients who underwent treatment of idiopathic ERM were reviewed. Preoperative DRIL on OCT was correlated with VA at baseline and at 3 and 6 months after ERM surgery. DRIL was defined as the loss of distinction between the ganglion cell–inner plexiform layer complex, inner nuclear layer, and outer plexiform layer. DRIL severity was based on its extent within the central 2-mm region of a transfoveal B-scan (absent/mild: <one-third, severe: >one-third horizontal width). Results: Review of preoperative OCT showed severe DRIL in 41% and absent/mild DRIL in 59%. Severe DRIL was associated with worse baseline VA ( P < .001). Preoperative VA and DRIL status at baseline were both predictors of postoperative VA at follow-up time points ( P < .001). Severe DRIL was associated with significantly less improvement in VA at 6 months (–0.23 logMAR for absent/mild vs –0.14 for severe DRIL). Conclusions: Presence of severe preoperative DRIL correlates with worse baseline VA in patients with ERM and reduced VA improvement at 6 months. DRIL can be a strong predictor of long-term poor visual outcomes in ERM surgery.

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