Why the study?
Developing a digital twin that reliably mimics patient-specific coronary stenting could improve individual treatments, requiring simple, robust computational methods balancing physical accuracy and computational costs.
A novel image-based computational approach using OCT and angiography can create a digital twin of coronary arteries to simulate stenting procedures.
Digital twin stenting models show feasibility in limited cases; leaves open whether predictions guide clinical decisions.
Considering the field of application involving stent deployment simulations, the exploitation of a digital twin of coronary stenting that can reliably mimic the patient-specific clinical reality could lead to improvements in individual treatments. A starting step to pursue this goal is the development of simple, but at the same time, robust and effective computational methods to obtain a good compromise between the accuracy of the description of physical phenomena and computational costs. Specifically, this work proposes an approach for the development of a patient-specific artery model to be used in stenting simulations. The finite element model was generated through a 3D reconstruction based on the clinical imaging (coronary Optical Coherence Tomography (OCT) and angiography) acquired on the pre-treatment patient. From a mechanical point of view, the coronary wall was described with a suitable phenomenological model, which is consistent with more complex constitutive approaches and accounts for the in vivo pressurization and axial pre-stretch. The effectiveness of this artery modeling method was tested by reproducing in silico the stenting procedures of two clinical cases and comparing the computational results with the in vivo lumen area of the stented vessel.
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Poletti et al. (2022) studied this question.
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