Reliable in vivo intravascular imaging plaque characterization: A challenge unmet

Ramasamy, Anantharaman; Serruys, Patrick W.; Jones, Daniel A.; Johnson, Thomas W.; Torii, Ryo; Madden, Sean; Amersey, Rajiv; Krams, Rob; Baumbach, Andreas; Mathur, Anthony; Bourantas, Christos V.

doi:10.1016/j.ahj.2019.07.008

Cited by 7 publications

(8 citation statements)

References 99 publications

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“…In this context, intravascular imaging techniques detecting the plaque composition (e.g. virtual-histology intravascular ultrasound or the combination of optical coherence tomography with near-infrared spectroscopy [48]) would allow additional lesion-specific features to be determined, besides improving the 3D vessel reconstruction. In the present study, only the short-term (i.e.…”

Section: Discussionmentioning

confidence: 99%

A predictive multiscale model of in-stent restenosis in femoral arteries: linking haemodynamics and gene expression with an agent-based model of cellular dynamics

Corti

Colombo

Rozowsky

et al. 2022

J. R. Soc. Interface.

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In-stent restenosis (ISR) is a maladaptive inflammatory-driven response of femoral arteries to percutaneous transluminal angioplasty and stent deployment, leading to lumen re-narrowing as consequence of excessive cellular proliferative and synthetic activities. A thorough understanding of the underlying mechanobiological factors contributing to ISR is still lacking. Computational multiscale models integrating both continuous- and agent-based approaches have been identified as promising tools to capture key aspects of the complex network of events encompassing molecular, cellular and tissue response to the intervention. In this regard, this work presents a multiscale framework integrating the effects of local haemodynamics and monocyte gene expression data on cellular dynamics to simulate ISR mechanobiological processes in a patient-specific model of stented superficial femoral artery. The framework is based on the coupling of computational fluid dynamics simulations (haemodynamics module) with an agent-based model (ABM) of cellular activities (tissue remodelling module). Sensitivity analysis and surrogate modelling combined with genetic algorithm optimization were adopted to explore the model behaviour and calibrate the ABM parameters. The proposed framework successfully described the patient lumen area reduction from baseline to one-month follow-up, demonstrating the potential capabilities of this approach in predicting the short-term arterial response to the endovascular procedure.

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Section: Discussionmentioning

confidence: 99%

A predictive multiscale model of in-stent restenosis in femoral arteries: linking haemodynamics and gene expression with an agent-based model of cellular dynamics

Corti

Colombo

Rozowsky

et al. 2022

J. R. Soc. Interface.

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“…Although based on the analysis of only three SFA lesions, this further confirms that the complex interplay of different, heterogeneous events probably determines the intervention outcome after 6 months follow-up. Intravascular imaging modalities allow detecting the arterial wall composition [27] and might be crucial to gain insights into the ISR process. Besides providing information on the baseline lesion tissue composition and plaque features potentially determining local heterogeneous responses to the intervention, details on the post-intervention arterial tissue changes would suggest whether phenomena of neoatherosclerosis (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…Intravascular imaging modalities allow detecting the arterial wall composition [27] and might be crucial to gain insights into the ISR process. Besides providing information on the baseline lesion tissue composition and plaque features potentially determining local heterogeneous responses to the intervention, details on the post-intervention arterial tissue changes would suggest whether phenomena of neoatherosclerosis (i.e.…”

Section: Discussionmentioning

confidence: 99%

Predicting 1-year in-stent restenosis in superficial femoral arteries through multiscale computational modelling

Corti

Migliavacca

Berceli

et al. 2023

J. R. Soc. Interface.

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In-stent restenosis in superficial femoral arteries (SFAs) is a complex, multi-factorial and multiscale vascular adaptation process whose thorough understanding is still lacking. Multiscale computational agent-based modelling has recently emerged as a promising approach to decipher mechanobiological mechanisms driving the arterial response to the endovascular intervention. However, the long-term arterial response has never been investigated with this approach, although being of fundamental relevance. In this context, this study investigates the 1-year post-operative arterial wall remodelling in three patient-specific stented SFA lesions through a fully coupled multiscale agent-based modelling framework. The framework integrates the effects of local haemodynamics and monocyte gene expression data on cellular dynamics through a bi-directional coupling of computational fluid dynamics simulations with an agent-based model of cellular activities. The framework was calibrated on the follow-up data at 1 month and 6 months of one stented SFA lesion and then applied to the other two lesions. The calibrated framework successfully captured (i) the high lumen area reduction occurring within the first post-operative month and (ii) the stabilization of the median lumen area from 1-month to 1-year follow-ups in all the stented lesions, demonstrating the potentialities of the proposed approach for investigating patient-specific short- and long-term responses to endovascular interventions.

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“…Intravascular ultrasound (IVUS) and optical coherence tomography (OCT) were the first invasive imaging techniques that were used to study plaque pathobiology and provided unique insights about the mechanisms that regulate plaque evolution. Validation studies using histology as the gold standard have demonstrated the advantages but also the limitations of IVUS and OCT in assessing plaque characteristics and led research toward the development of novel invasive imaging modalities that were able to overcome the drawbacks of the first techniques (8)(9)(10)(11). Near infrared spectroscopy (NIRS), photoacoustic imaging (IVPA), near infrared fluorescence imaging (NIRF), and time resolved fluorescence spectroscopy (TRFS) imaging are some of these invasive imaging techniques that were introduced to provide additional information about vessel pathology and biology.…”

Section: Introductionmentioning

confidence: 99%

The Evolution of Data Fusion Methodologies Developed to Reconstruct Coronary Artery Geometry From Intravascular Imaging and Coronary Angiography Data: A Comprehensive Review

Kilic

Safi

Bajaj

et al. 2020

Front. Cardiovasc. Med.

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Understanding the mechanisms that regulate atherosclerotic plaque formation and evolution is a crucial step for developing treatment strategies that will prevent plaque progression and reduce cardiovascular events. Advances in signal processing and the miniaturization of medical devices have enabled the design of multimodality intravascular imaging catheters that allow complete and detailed assessment of plaque morphology and biology. However, a significant limitation of these novel imaging catheters is that they provide two-dimensional (2D) visualization of the lumen and vessel wall and thus they cannot portray vessel geometry and 3D lesion architecture. To address this limitation computer-based methodologies and user-friendly software have been developed. These are able to off-line process and fuse intravascular imaging data with X-ray or computed tomography coronary angiography (CTCA) to reconstruct coronary artery anatomy. The aim of this review article is to summarize the evolution in the field of coronary artery modeling; we thus present the first methodologies that were developed to model vessel geometry, highlight the modifications introduced in revised methods to overcome the limitations of the first approaches and discuss the challenges that need to be addressed, so these techniques can have broad application in clinical practice and research.

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Reliable in vivo intravascular imaging plaque characterization: A challenge unmet

Cited by 7 publications

References 99 publications

A predictive multiscale model of in-stent restenosis in femoral arteries: linking haemodynamics and gene expression with an agent-based model of cellular dynamics

A predictive multiscale model of in-stent restenosis in femoral arteries: linking haemodynamics and gene expression with an agent-based model of cellular dynamics

Predicting 1-year in-stent restenosis in superficial femoral arteries through multiscale computational modelling

The Evolution of Data Fusion Methodologies Developed to Reconstruct Coronary Artery Geometry From Intravascular Imaging and Coronary Angiography Data: A Comprehensive Review

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