Cargando…

Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements

BACKGROUND: Absolute myocardial perfusion imaging (MPI) is beneficial in the diagnosis and prognosis of patients with suspected or known coronary artery disease. However, validation and standardization of perfusion estimates across centers is needed to ensure safe and adequate integration into the c...

Descripción completa

Detalles Bibliográficos
Autores principales: Kamphuis, Marije E., Kuipers, Henny, Verschoor, Jacqueline, van Hespen, Johannes C. G., Greuter, Marcel J. W., Slart, Riemer H. J. A., Slump, Cornelis H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038974/
https://www.ncbi.nlm.nih.gov/pubmed/35467161
http://dx.doi.org/10.1186/s40658-022-00458-y
_version_ 1784694019635281920
author Kamphuis, Marije E.
Kuipers, Henny
Verschoor, Jacqueline
van Hespen, Johannes C. G.
Greuter, Marcel J. W.
Slart, Riemer H. J. A.
Slump, Cornelis H.
author_facet Kamphuis, Marije E.
Kuipers, Henny
Verschoor, Jacqueline
van Hespen, Johannes C. G.
Greuter, Marcel J. W.
Slart, Riemer H. J. A.
Slump, Cornelis H.
author_sort Kamphuis, Marije E.
collection PubMed
description BACKGROUND: Absolute myocardial perfusion imaging (MPI) is beneficial in the diagnosis and prognosis of patients with suspected or known coronary artery disease. However, validation and standardization of perfusion estimates across centers is needed to ensure safe and adequate integration into the clinical workflow. Physical myocardial perfusion models can contribute to this clinical need as these can provide ground-truth validation of perfusion estimates in a simplified, though controlled setup. This work presents the design and realization of such a myocardial perfusion phantom and highlights initial performance testing of the overall phantom setup using dynamic single photon emission computed tomography. RESULTS: Due to anatomical and (patho-)physiological representation in the 3D printed myocardial perfusion phantom, we were able to acquire 22 dynamic MPI datasets in which (99m)Tc-labelled tracer kinetics was measured and analyzed using clinical MPI software. After phantom setup optimization, time activity curve analysis was executed for measurements with normal myocardial perfusion settings (1.5 mL/g/min) and with settings containing a regional or global perfusion deficit (0.8 mL/g/min). In these measurements, a specific amount of activated carbon was used to adsorb radiotracer in the simulated myocardial tissue. Such mimicking of myocardial tracer uptake and retention over time satisfactorily matched patient tracer kinetics. For normal perfusion levels, the absolute mean error between computed myocardial blood flow and ground-truth flow settings ranged between 0.1 and 0.4 mL/g/min. CONCLUSION: The presented myocardial perfusion phantom is a first step toward ground-truth validation of multimodal, absolute MPI applications in the clinical setting. Its dedicated and 3D printed design enables tracer kinetic measurement, including time activity curve and potentially compartmental myocardial blood flow analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00458-y.
format Online
Article
Text
id pubmed-9038974
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-90389742022-05-07 Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements Kamphuis, Marije E. Kuipers, Henny Verschoor, Jacqueline van Hespen, Johannes C. G. Greuter, Marcel J. W. Slart, Riemer H. J. A. Slump, Cornelis H. EJNMMI Phys Original Research BACKGROUND: Absolute myocardial perfusion imaging (MPI) is beneficial in the diagnosis and prognosis of patients with suspected or known coronary artery disease. However, validation and standardization of perfusion estimates across centers is needed to ensure safe and adequate integration into the clinical workflow. Physical myocardial perfusion models can contribute to this clinical need as these can provide ground-truth validation of perfusion estimates in a simplified, though controlled setup. This work presents the design and realization of such a myocardial perfusion phantom and highlights initial performance testing of the overall phantom setup using dynamic single photon emission computed tomography. RESULTS: Due to anatomical and (patho-)physiological representation in the 3D printed myocardial perfusion phantom, we were able to acquire 22 dynamic MPI datasets in which (99m)Tc-labelled tracer kinetics was measured and analyzed using clinical MPI software. After phantom setup optimization, time activity curve analysis was executed for measurements with normal myocardial perfusion settings (1.5 mL/g/min) and with settings containing a regional or global perfusion deficit (0.8 mL/g/min). In these measurements, a specific amount of activated carbon was used to adsorb radiotracer in the simulated myocardial tissue. Such mimicking of myocardial tracer uptake and retention over time satisfactorily matched patient tracer kinetics. For normal perfusion levels, the absolute mean error between computed myocardial blood flow and ground-truth flow settings ranged between 0.1 and 0.4 mL/g/min. CONCLUSION: The presented myocardial perfusion phantom is a first step toward ground-truth validation of multimodal, absolute MPI applications in the clinical setting. Its dedicated and 3D printed design enables tracer kinetic measurement, including time activity curve and potentially compartmental myocardial blood flow analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00458-y. Springer International Publishing 2022-04-25 /pmc/articles/PMC9038974/ /pubmed/35467161 http://dx.doi.org/10.1186/s40658-022-00458-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Kamphuis, Marije E.
Kuipers, Henny
Verschoor, Jacqueline
van Hespen, Johannes C. G.
Greuter, Marcel J. W.
Slart, Riemer H. J. A.
Slump, Cornelis H.
Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements
title Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements
title_full Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements
title_fullStr Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements
title_full_unstemmed Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements
title_short Development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements
title_sort development of a dynamic myocardial perfusion phantom model for tracer kinetic measurements
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038974/
https://www.ncbi.nlm.nih.gov/pubmed/35467161
http://dx.doi.org/10.1186/s40658-022-00458-y
work_keys_str_mv AT kamphuismarijee developmentofadynamicmyocardialperfusionphantommodelfortracerkineticmeasurements
AT kuipershenny developmentofadynamicmyocardialperfusionphantommodelfortracerkineticmeasurements
AT verschoorjacqueline developmentofadynamicmyocardialperfusionphantommodelfortracerkineticmeasurements
AT vanhespenjohannescg developmentofadynamicmyocardialperfusionphantommodelfortracerkineticmeasurements
AT greutermarceljw developmentofadynamicmyocardialperfusionphantommodelfortracerkineticmeasurements
AT slartriemerhja developmentofadynamicmyocardialperfusionphantommodelfortracerkineticmeasurements
AT slumpcornelish developmentofadynamicmyocardialperfusionphantommodelfortracerkineticmeasurements