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European Journal of Nuclear Medicine and Molecular Imaging

Erschienen in:

05.01.2022 | Original Article

Prediction of myocardial blood flow under stress conditions by means of a computational model

verfasst von: Simone Di Gregorio, Christian Vergara, Giovanni Montino Pelagi, Andrea Baggiano, Paolo Zunino, Marco Guglielmo, Laura Fusini, Giuseppe Muscogiuri, Alexia Rossi, Mark G. Rabbat, Alfio Quarteroni, Gianluca Pontone

Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging | Ausgabe 6/2022

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Abstract

Purpose

Quantification 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.

Methods

A 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_CTP) maps. The relative error between the computational MBF under stress conditions (MBF_COMP) and MBF_CTP was evaluated to assess the accuracy of the proposed computational model.

Results

Applying 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_COMP and MBF_CTP. In all patients, the relative error was below 8% over all the myocardium, with an average-in-space value below 4%.

Conclusion

The 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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Titel: Prediction of myocardial blood flow under stress conditions by means of a computational model
verfasst von: Simone Di Gregorio
Christian Vergara
Giovanni Montino Pelagi
Andrea Baggiano
Paolo Zunino
Marco Guglielmo
Laura Fusini
Giuseppe Muscogiuri
Alexia Rossi
Mark G. Rabbat
Alfio Quarteroni
Gianluca Pontone
Publikationsdatum: 05.01.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging / Ausgabe 6/2022
Print ISSN: 1619-7070
Elektronische ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-021-05667-8

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Prediction of myocardial blood flow under stress conditions by means of a computational model

Abstract

Purpose

Methods

Results

Conclusion

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusion

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