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Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies

Background: There is currently no reliable or validated tool to delineate and quantify functional lung volumes with ventilation/perfusion (V/Q) SPECT/CT. The main challenges encountered include the physiological non-uniformity of lung function, such as the anterior-to-posterior gradient on perfusion...

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Autores principales: Bourhis, David, Wagner, Laura, Essayan, Marine, Robin, Philippe, Le Pennec, Romain, Salaun, Pierre Yves, Le Roux, Pierre Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461964/
https://www.ncbi.nlm.nih.gov/pubmed/33015083
http://dx.doi.org/10.3389/fmed.2020.00461
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author Bourhis, David
Wagner, Laura
Essayan, Marine
Robin, Philippe
Le Pennec, Romain
Salaun, Pierre Yves
Le Roux, Pierre Yves
author_facet Bourhis, David
Wagner, Laura
Essayan, Marine
Robin, Philippe
Le Pennec, Romain
Salaun, Pierre Yves
Le Roux, Pierre Yves
author_sort Bourhis, David
collection PubMed
description Background: There is currently no reliable or validated tool to delineate and quantify functional lung volumes with ventilation/perfusion (V/Q) SPECT/CT. The main challenges encountered include the physiological non-uniformity of lung function, such as the anterior-to-posterior gradient on perfusion images, and the lack of ground truth to assess the accuracy of delineation algorithms. In that respect, Monte-Carlo simulations would be an interesting tool. Thus, the aim of this study was to develop a realistic model of dual-isotope lung V/Q SPECT-CT Monte-Carlo simulations, integrating the anterior to posterior gradient on perfusion. Methods: Acquisitions and simulations parameters were set in accordance to nuclear medicine guidelines for V/Q lung SPECT-CT. Projections were acquired and simulated, then the reconstructions [with and without attenuation correction (AC)] were compared. A model was built from a patient's CT scan. To model the anterior to posterior gradient, the lungs were divided into sixteen coronal planes, where a rising radioactivity concentration was set. To assess the realism of simulations, they were compared to a normal co-registered normal cases database in terms of pixelwize Z-score map. Results: For ventilation images, mean (SD) Zscores on Zscore maps were −0.2 (0.7) and −0.2 (0.7) for AC and noAC images, respectively. For perfusion images, mean (SD) Zscores were −0.2 (0.6) and −0.1 (0.6) for AC and noAC images, respectively. Conclusion: We developed a model for dual isotopes lung V/Q SPECT-CT, integrating the anterior-to-posterior gradient on perfusion images. This model could be used to build a catalog of clinical scenarios, in order to test delineation methods of functional lung volumes.
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spelling pubmed-74619642020-10-01 Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies Bourhis, David Wagner, Laura Essayan, Marine Robin, Philippe Le Pennec, Romain Salaun, Pierre Yves Le Roux, Pierre Yves Front Med (Lausanne) Medicine Background: There is currently no reliable or validated tool to delineate and quantify functional lung volumes with ventilation/perfusion (V/Q) SPECT/CT. The main challenges encountered include the physiological non-uniformity of lung function, such as the anterior-to-posterior gradient on perfusion images, and the lack of ground truth to assess the accuracy of delineation algorithms. In that respect, Monte-Carlo simulations would be an interesting tool. Thus, the aim of this study was to develop a realistic model of dual-isotope lung V/Q SPECT-CT Monte-Carlo simulations, integrating the anterior to posterior gradient on perfusion. Methods: Acquisitions and simulations parameters were set in accordance to nuclear medicine guidelines for V/Q lung SPECT-CT. Projections were acquired and simulated, then the reconstructions [with and without attenuation correction (AC)] were compared. A model was built from a patient's CT scan. To model the anterior to posterior gradient, the lungs were divided into sixteen coronal planes, where a rising radioactivity concentration was set. To assess the realism of simulations, they were compared to a normal co-registered normal cases database in terms of pixelwize Z-score map. Results: For ventilation images, mean (SD) Zscores on Zscore maps were −0.2 (0.7) and −0.2 (0.7) for AC and noAC images, respectively. For perfusion images, mean (SD) Zscores were −0.2 (0.6) and −0.1 (0.6) for AC and noAC images, respectively. Conclusion: We developed a model for dual isotopes lung V/Q SPECT-CT, integrating the anterior-to-posterior gradient on perfusion images. This model could be used to build a catalog of clinical scenarios, in order to test delineation methods of functional lung volumes. Frontiers Media S.A. 2020-08-18 /pmc/articles/PMC7461964/ /pubmed/33015083 http://dx.doi.org/10.3389/fmed.2020.00461 Text en Copyright © 2020 Bourhis, Wagner, Essayan, Robin, Le Pennec, Salaun and Le Roux. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Bourhis, David
Wagner, Laura
Essayan, Marine
Robin, Philippe
Le Pennec, Romain
Salaun, Pierre Yves
Le Roux, Pierre Yves
Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies
title Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies
title_full Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies
title_fullStr Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies
title_full_unstemmed Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies
title_short Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies
title_sort normal dual isotope v/q spect model for monte-carlo studies
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461964/
https://www.ncbi.nlm.nih.gov/pubmed/33015083
http://dx.doi.org/10.3389/fmed.2020.00461
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