Why the study?
Routine clinical tests fail to assess ischemic risk in AAOCA, and existing computational models rely on literature data from normal subjects rather than patient-specific data.
Does a patient-specific lumped parameter model accurately estimate coronary blood flow in patients with AAOCA?
Does a patient-specific lumped parameter model accurately estimate coronary blood flow in patients with AAOCA?
A fully patient-specific lumped parameter model based on clinical imaging and in-vivo data can accurately estimate coronary blood flow in patients with anomalous aortic origin of the coronary artery, offering a potential non-invasive tool for ischemic risk assessment.
May aid non-invasive flow estimation in AAOCA; leaves open prospective validation before clinical use.
Anomalous aortic origin of the coronary artery (AAOCA) is a rare disease associated with sudden cardiac death, usually related to physical effort in young people. Clinical routine tests fail to assess the ischemic risk, calling for novel diagnostic approaches. To this aim, some recent studies propose to assess the coronary blood flow (CBF) in AAOCA by computational simulations but they are limited by the use of data from literature retrieved from normal subjects. To overcome this limitation and obtain a reliable assessment of CBF, we developed a fully patient-specific lumped parameter model based on clinical imaging and in-vivo data retrieved during invasive coronary functional assessment of subjects with AAOCA. In such a way, we can estimate the CBF replicating the two hemodynamic conditions in-vivo analyzed. The model can mimic the effective coronary behavior with high accuracy and could be a valuable tool to quantify CBF in AAOCA. It represents the first step required to move toward a future clinical application with the aim of improving patient care. The study was registered at Clinicaltrial.gov with (ID: NCT05159791, date 2021-12-16).
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Ceserani et al. (2023) studied this question.
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