ArticleEuropean journal of nuclear medicine and molecular imaging2022
Prediction of myocardial blood flow under stress conditions by means of a computational model.
Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 25 citations in OpenAlex.
- Clinical Applications of Artificial Intelligence in Cardiac CT: From Coronary CT Angiography to CT-Derived Fractional Flow Reserve and Myocardial Perfusion Imaging.Korean journal of radiology · 2026Review
- A Novel Demography-Based Approach to Define Patient-Specific Outflow Boundary Conditions in CT-Based FFR Computations.Annals of biomedical engineering · 2026Article
- Multicompartment Darcy Flow Model With Patient-Specific Parameterization: Effect of Heterogeneity and Anisotropy in Porous Parameters.International journal for numerical methods in biomedical engineering · 2025Article
- Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion.Biomechanics and modeling in mechanobiology · 2024Article
- Personalized Pressure Conditions and Calibration for a Predictive Computational Model of Coronary and Myocardial Blood Flow.Annals of biomedical engineering · 2024Article
- The role of computational methods in cardiovascular medicine: a narrative review.Translational pediatrics · 2024Review
- Personalized coronary and myocardial blood flow models incorporating CT perfusion imaging and synthetic vascular trees.Npj imaging · 2024Article
- lifex-ep: a robust and efficient software for cardiac electrophysiology simulations.BMC bioinformatics · 2023Article
- A comprehensive mathematical model for cardiac perfusion.Scientific reports · 2023Article
- Personalized coronary and myocardial blood flow models incorporating CT perfusion imaging and synthetic vascular trees.medRxiv : the preprint server for health sciences · 2023Article
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Authors and funding
12 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeQuantification of myocardial blood flow (MBF) and functional assessment of coronary artery disease (CAD) can be achieved through stress myocardial computed tomography perfusion (stress-CTP). This requires an additional scan after the resting coronary computed tomography angiography (cCTA) and administration of an intravenous stressor. This complex protocol has limited reproducibility and non-negligible side effects for the patient. We aim to mitigate these drawbacks by proposing a computational model able to reproduce MBF maps.
methodsA computational perfusion model was used to reproduce MBF maps. The model parameters were estimated by using information from cCTA and MBF measured from stress-CTP (MBF
resultsApplying our method to 9 patients (4 control subjects without ischemia vs 5 patients with myocardial ischemia), we found an excellent agreement between the values of MBF
conclusionThe results of this pilot work demonstrate the accuracy and reliability of the proposed computational model in reproducing MBF under stress conditions. This consistency test is a preliminary step in the framework of a more ambitious project which is currently under investigation, i.e., the construction of a computational tool able to predict MBF avoiding the stress protocol and potential side effects while reducing radiation exposure.
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