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Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique

The purpose of this study is to develop and validate an optimal timing protocol for a low-radiation-dose CT pulmonary perfusion technique using only two volume scans. A total of 24 swine (48.5 ± 14.3 kg) underwent contrast-enhanced dynamic CT. Multiple contrast injections were made under different p...

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Autores principales: Zhao, Yixiao, Hubbard, Logan, Malkasian, Shant, Abbona, Pablo, Molloi, Sabee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114423/
https://www.ncbi.nlm.nih.gov/pubmed/35581304
http://dx.doi.org/10.1038/s41598-022-12016-8
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author Zhao, Yixiao
Hubbard, Logan
Malkasian, Shant
Abbona, Pablo
Molloi, Sabee
author_facet Zhao, Yixiao
Hubbard, Logan
Malkasian, Shant
Abbona, Pablo
Molloi, Sabee
author_sort Zhao, Yixiao
collection PubMed
description The purpose of this study is to develop and validate an optimal timing protocol for a low-radiation-dose CT pulmonary perfusion technique using only two volume scans. A total of 24 swine (48.5 ± 14.3 kg) underwent contrast-enhanced dynamic CT. Multiple contrast injections were made under different pulmonary perfusion conditions, resulting in a total of 141 complete pulmonary arterial input functions (AIFs). Using all the AIF curves, an optimal contrast timing protocol was developed for a first-pass, two-volume dynamic CT perfusion technique (one at the base and the other at the peak of AIF curve). A subset of swine was used to validate the prospective two-volume pulmonary perfusion technique. The prospective two-volume perfusion measurements were quantitatively compared to the previously validated retrospective perfusion measurements with t-test, linear regression, and Bland–Altman analysis. As a result, the pulmonary artery time-to-peak ([Formula: see text] ) was related to one-half of the contrast injection duration ([Formula: see text] ) by [Formula: see text] (r = 0.95). The prospective two-volume perfusion measurements (P(PRO)) were related to the retrospective measurements (P(RETRO)) by P(PRO) = 0.87P(RETRO) + 0.56 (r = 0.88). The CT dose index and size-specific dose estimate of the two-volume CT technique were estimated to be 28.4 and 47.0 mGy, respectively. The optimal timing protocol can enable an accurate, low-radiation-dose two-volume dynamic CT perfusion technique.
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spelling pubmed-91144232022-05-19 Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique Zhao, Yixiao Hubbard, Logan Malkasian, Shant Abbona, Pablo Molloi, Sabee Sci Rep Article The purpose of this study is to develop and validate an optimal timing protocol for a low-radiation-dose CT pulmonary perfusion technique using only two volume scans. A total of 24 swine (48.5 ± 14.3 kg) underwent contrast-enhanced dynamic CT. Multiple contrast injections were made under different pulmonary perfusion conditions, resulting in a total of 141 complete pulmonary arterial input functions (AIFs). Using all the AIF curves, an optimal contrast timing protocol was developed for a first-pass, two-volume dynamic CT perfusion technique (one at the base and the other at the peak of AIF curve). A subset of swine was used to validate the prospective two-volume pulmonary perfusion technique. The prospective two-volume perfusion measurements were quantitatively compared to the previously validated retrospective perfusion measurements with t-test, linear regression, and Bland–Altman analysis. As a result, the pulmonary artery time-to-peak ([Formula: see text] ) was related to one-half of the contrast injection duration ([Formula: see text] ) by [Formula: see text] (r = 0.95). The prospective two-volume perfusion measurements (P(PRO)) were related to the retrospective measurements (P(RETRO)) by P(PRO) = 0.87P(RETRO) + 0.56 (r = 0.88). The CT dose index and size-specific dose estimate of the two-volume CT technique were estimated to be 28.4 and 47.0 mGy, respectively. The optimal timing protocol can enable an accurate, low-radiation-dose two-volume dynamic CT perfusion technique. Nature Publishing Group UK 2022-05-17 /pmc/articles/PMC9114423/ /pubmed/35581304 http://dx.doi.org/10.1038/s41598-022-12016-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Zhao, Yixiao
Hubbard, Logan
Malkasian, Shant
Abbona, Pablo
Molloi, Sabee
Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique
title Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique
title_full Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique
title_fullStr Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique
title_full_unstemmed Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique
title_short Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique
title_sort contrast timing optimization of a two-volume dynamic ct pulmonary perfusion technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114423/
https://www.ncbi.nlm.nih.gov/pubmed/35581304
http://dx.doi.org/10.1038/s41598-022-12016-8
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