Quantifying scattering contrast in intravascular optical coherence tomography for improved atherosclerotic plaque characterization

2021 ◽  
Author(s):  
Taylor M. Cannon ◽  
Martin Villiger ◽  
Brett E. Bouma ◽  
Nestor Uribe-Patarroyo
Keyword(s):  
Optical Coherence Tomography ◽  
Atherosclerotic Plaque ◽  
Optical Coherence ◽  
Plaque Characterization ◽  
Intravascular Optical Coherence Tomography

scholarly journals Automated Coronary Plaque Characterization With Intravascular Optical Coherence Tomography and Smart-Algorithm Approach

2020 ◽  
Vol 13 (8) ◽  
pp. 1848-1850
Author(s):  
Vikram Baruah ◽  
Aydin Zahedivash ◽  
Taylor Hoyt ◽  
Austin McElroy ◽  
Deborah Vela ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Plaque Characterization ◽  
Intravascular Optical Coherence Tomography

scholarly journals Coronary Plaque Characterization From Optical Coherence Tomography Imaging With a Two-Pathway Cascade Convolutional Neural Network Architecture

2021 ◽  
Vol 8 ◽  
Author(s):  
Yifan Yin ◽  
Chunliu He ◽  
Biao Xu ◽  
Zhiyong Li
Keyword(s):  
Neural Network ◽  
Optical Coherence Tomography ◽  
Convolutional Neural Network ◽  
Atherosclerotic Plaque ◽  
Network Architecture ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Plaque Characterization ◽  
Coronary Atherosclerotic Plaque ◽  
Oct Imaging

Background: The morphological structure and tissue composition of a coronary atherosclerotic plaque determine its stability, which can be assessed by intravascular optical coherence tomography (OCT) imaging. However, plaque characterization relies on the interpretation of large datasets by well-trained observers. This study aims to develop a convolutional neural network (CNN) method to automatically extract tissue features from OCT images to characterize the main components of a coronary atherosclerotic plaque (fibrous, lipid, and calcification). The method is based on a novel CNN architecture called TwopathCNN, which is utilized in a cascaded structure. According to the evaluation, this proposed method is effective and robust in the characterization of coronary plaque composition from in vivo OCT imaging. On average, the method achieves 0.86 in F1-score and 0.88 in accuracy. The TwopathCNN architecture and cascaded structure show significant improvement in performance (p < 0.05). CNN with cascaded structure can greatly improve the performance of characterization compared to the conventional CNN methods and machine learning methods. This method has a higher efficiency, which may be proven to be a promising diagnostic tool in the detection of coronary plaques.

Optical coherence tomography for elucidation of flow-diversion phenomena: The concept of endothelized mural thrombus behind reversible in-stent stenosis in flow-diverters

2021 ◽  
pp. 159101992110034
Author(s):  
Andre Monteiro ◽  
Demetrius K Lopes ◽  
Amin Aghaebrahim ◽  
Ricardo Hanel
Keyword(s):  
Optical Coherence Tomography ◽  
Intracranial Aneurysms ◽  
Flow Diversion ◽  
Optical Coherence ◽  
Recurrence Rates ◽  
Oct Imaging ◽  
Intravascular Optical Coherence Tomography ◽  
Stenotic Area ◽  
Flow Diverters ◽  
Stent Stenosis

Purpose Flow-diverters have revolutionized the endovascular treatment of intracranial aneurysms, offering a durable solution to aneurysms with high recurrence rates after conventional stent-assisted coiling. Events that occur after treatment with flow-diversion, such as in-stent stenosis (ISS) are not well understood and require further assessment. After assessing an animal model with Optical Coherence Tomography (OCT), we propose a concept that could explain the mechanism causing reversible ISS after treatment of intracranial aneurysms with flow-diverters. Methods Six Pipeline Flex embolization devices (PED-Flex), six PED with Shield technology (PED-Shield), and four Solitaire AB devices were implanted in the carotid arteries (two stents per vessel) of four pigs. Intravascular optical coherence tomography (OCT) and digital subtraction angiography (DSA) images obtained on day 21 were compared to histological specimens. Results A case of ISS in a PED-Flex device was assessed with OCT imaging. Neointima with asymmetrical topography completely covering the PED struts was observed. Histological preparations of the stenotic area demonstrated thrombus on the surface of device struts, covered by neointima. Conclusion This study provides a plausible concept for reversible ISS in flow-diverters. Based on an observation of a previous experiment, we propose that similar cases of ISS are related to thrombus presence underneath endothelization, but further experiments focused on this phenomenon are needed. Optical Coherence Tomography will be useful tool when available for clinical use.

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