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Dual energy window imaging for optimisation of P/V ratios in VP SPECT

PURPOSE: Ventilation–perfusion single-photon emission computed tomography (VP SPECT) plays an important role in pulmonary embolism diagnosis. Rapid results may be obtained using same-day ventilation followed by perfusion imaging, but generally requires careful attention to achieving an optimal count...

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Autores principales: Doruyter, A. G. G., Holness, J. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520548/
https://www.ncbi.nlm.nih.gov/pubmed/34655369
http://dx.doi.org/10.1186/s40658-021-00417-z
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author Doruyter, A. G. G.
Holness, J. L.
author_facet Doruyter, A. G. G.
Holness, J. L.
author_sort Doruyter, A. G. G.
collection PubMed
description PURPOSE: Ventilation–perfusion single-photon emission computed tomography (VP SPECT) plays an important role in pulmonary embolism diagnosis. Rapid results may be obtained using same-day ventilation followed by perfusion imaging, but generally requires careful attention to achieving an optimal count rate ratio (P/V ratio) of ≥ 3:1. This study investigated whether the ratio of counts simultaneously acquired in adjacent primary and Compton scatter energy windows (E(ratio)) on V SPECT was predictive of final normalised perfusion count rate (PCR(norm)) on P SPECT using [(99m)Tc]Tc-macroaggregated albumin (MAA), thus allowing for optimisation of P/V ratios. METHODS: Same-day VP SPECT studies acquired using standard protocols in adult patients during a 2-year period (training dataset) were assessed. Studies were included provided they were acquired with correct imaging parameters, and injection site imaging and laboratory records were available for quality control and normalised count rate corrections. Extraction of DICOM information, and linear regression were performed using custom Python and R scripts. A predictive tool was developed in Microsoft Excel. This tool was then validated using a second (validation) dataset of same-day studies acquired over a subsequent 7-month period. Accuracy of the prediction tool was assessed by calculating the mean absolute percentage error (MAPE). RESULTS: Of 643 studies performed, the scans of 342 participants (median age 30.4 years, 318 female) were included in the training dataset, the analysis of which yielded a significant regression equation (F(1,340) = 1057.3, p < 0.0001), with an adjusted R(2) of 0.756 and MSE of 0.001089. A prediction tool designed for routine clinical use was developed for predicting final P/V ratio. Of an additional 285 studies, 198 were included in the second (validation) dataset (median age 29.7 years, 188 female). The Excel-based tool was shown to be 91% accurate (MAPE: 9%) in predicting P/V ratio. CONCLUSION: The relationship between the ratio of simultaneously acquired counts in adjacent energy windows on V SPECT and perfusion count rate after administration of a known activity of [(99m)Tc]Tc-MAA can be linearly approximated. A predictive tool based on this work may assist in optimising the dose and timing of [(99m)Tc]Tc-MAA administration in same-day studies to the benefit of patients and workflows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-021-00417-z.
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spelling pubmed-85205482021-10-22 Dual energy window imaging for optimisation of P/V ratios in VP SPECT Doruyter, A. G. G. Holness, J. L. EJNMMI Phys Original Research PURPOSE: Ventilation–perfusion single-photon emission computed tomography (VP SPECT) plays an important role in pulmonary embolism diagnosis. Rapid results may be obtained using same-day ventilation followed by perfusion imaging, but generally requires careful attention to achieving an optimal count rate ratio (P/V ratio) of ≥ 3:1. This study investigated whether the ratio of counts simultaneously acquired in adjacent primary and Compton scatter energy windows (E(ratio)) on V SPECT was predictive of final normalised perfusion count rate (PCR(norm)) on P SPECT using [(99m)Tc]Tc-macroaggregated albumin (MAA), thus allowing for optimisation of P/V ratios. METHODS: Same-day VP SPECT studies acquired using standard protocols in adult patients during a 2-year period (training dataset) were assessed. Studies were included provided they were acquired with correct imaging parameters, and injection site imaging and laboratory records were available for quality control and normalised count rate corrections. Extraction of DICOM information, and linear regression were performed using custom Python and R scripts. A predictive tool was developed in Microsoft Excel. This tool was then validated using a second (validation) dataset of same-day studies acquired over a subsequent 7-month period. Accuracy of the prediction tool was assessed by calculating the mean absolute percentage error (MAPE). RESULTS: Of 643 studies performed, the scans of 342 participants (median age 30.4 years, 318 female) were included in the training dataset, the analysis of which yielded a significant regression equation (F(1,340) = 1057.3, p < 0.0001), with an adjusted R(2) of 0.756 and MSE of 0.001089. A prediction tool designed for routine clinical use was developed for predicting final P/V ratio. Of an additional 285 studies, 198 were included in the second (validation) dataset (median age 29.7 years, 188 female). The Excel-based tool was shown to be 91% accurate (MAPE: 9%) in predicting P/V ratio. CONCLUSION: The relationship between the ratio of simultaneously acquired counts in adjacent energy windows on V SPECT and perfusion count rate after administration of a known activity of [(99m)Tc]Tc-MAA can be linearly approximated. A predictive tool based on this work may assist in optimising the dose and timing of [(99m)Tc]Tc-MAA administration in same-day studies to the benefit of patients and workflows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-021-00417-z. Springer International Publishing 2021-10-16 /pmc/articles/PMC8520548/ /pubmed/34655369 http://dx.doi.org/10.1186/s40658-021-00417-z Text en © The Author(s) 2021 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
Doruyter, A. G. G.
Holness, J. L.
Dual energy window imaging for optimisation of P/V ratios in VP SPECT
title Dual energy window imaging for optimisation of P/V ratios in VP SPECT
title_full Dual energy window imaging for optimisation of P/V ratios in VP SPECT
title_fullStr Dual energy window imaging for optimisation of P/V ratios in VP SPECT
title_full_unstemmed Dual energy window imaging for optimisation of P/V ratios in VP SPECT
title_short Dual energy window imaging for optimisation of P/V ratios in VP SPECT
title_sort dual energy window imaging for optimisation of p/v ratios in vp spect
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520548/
https://www.ncbi.nlm.nih.gov/pubmed/34655369
http://dx.doi.org/10.1186/s40658-021-00417-z
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