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Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury

OBJECTIVE: The aims of this study were to investigate the ability of contrast-enhanced dual-energy computed tomography (DECT) for assessing regional perfusion in a model of acute lung injury, using dynamic first-pass perfusion CT (DynCT) as the criterion standard and to evaluate if changes in lung p...

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Autores principales: Kay, Fernando Uliana, Beraldo, Marcelo A., Nakamura, Maria A. M., De Santis Santiago, Roberta, Torsani, Vinicius, Gomes, Susimeire, Roldan, Rollin, Tucci, Mauro R., Abbara, Suhny, Amato, Marcelo B. P., Amaro, Edson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6250290/
https://www.ncbi.nlm.nih.gov/pubmed/30371620
http://dx.doi.org/10.1097/RCT.0000000000000815
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author Kay, Fernando Uliana
Beraldo, Marcelo A.
Nakamura, Maria A. M.
De Santis Santiago, Roberta
Torsani, Vinicius
Gomes, Susimeire
Roldan, Rollin
Tucci, Mauro R.
Abbara, Suhny
Amato, Marcelo B. P.
Amaro, Edson
author_facet Kay, Fernando Uliana
Beraldo, Marcelo A.
Nakamura, Maria A. M.
De Santis Santiago, Roberta
Torsani, Vinicius
Gomes, Susimeire
Roldan, Rollin
Tucci, Mauro R.
Abbara, Suhny
Amato, Marcelo B. P.
Amaro, Edson
author_sort Kay, Fernando Uliana
collection PubMed
description OBJECTIVE: The aims of this study were to investigate the ability of contrast-enhanced dual-energy computed tomography (DECT) for assessing regional perfusion in a model of acute lung injury, using dynamic first-pass perfusion CT (DynCT) as the criterion standard and to evaluate if changes in lung perfusion caused by prone ventilation are similarly demonstrated by DECT and DynCT. METHODS: This was an institutional review board–approved study, compliant with guidelines for humane care of laboratory animals. A ventilator-induced lung injury protocol was applied to 6 landrace pigs. Perfused blood volume (PBV) and pulmonary blood flow (PBF) were respectively quantified by DECT and DynCT, in supine and prone positions. The lungs were segmented in equally sized regions of interest, namely, dorsal, middle, and ventral. Perfused blood volume and PBF values were normalized by lung density. Regional air fraction (AF) was assessed by triple-material decomposition DECT. Per-animal correlation between PBV and PBF was assessed with Pearson R. Regional differences in PBV, PBF, and AF were evaluated with 1-way analysis of variance and post hoc linear trend analysis (α = 5%). RESULTS: Mean correlation coefficient between PBV and PBF was 0.70 (range, 0.55–0.98). Higher PBV and PBF values were observed in dorsal versus ventral regions. Dorsal-to-ventral linear trend slopes were −10.24 mL/100 g per zone for PBV (P < 0.001) and −223.0 mL/100 g per minute per zone for PBF (P < 0.001). Prone ventilation also revealed higher PBV and PBF in dorsal versus ventral regions. Dorsal-to-ventral linear trend slopes were −16.16 mL/100 g per zone for PBV (P < 0.001) and −108.2 mL/100 g per minute per zone for PBF (P < 0.001). By contrast, AF was lower in dorsal versus ventral regions in supine position, with dorsal-to-ventral linear trend slope of +5.77%/zone (P < 0.05). Prone ventilation was associated with homogenization of AF distribution among different regions (P = 0.74). CONCLUSIONS: Dual-energy computed tomography PBV is correlated with DynCT-PBF in a model of acute lung injury, and able to demonstrate regional differences in pulmonary perfusion. Perfusion was higher in the dorsal regions, irrespectively to decubitus, with more homogeneous lung aeration in prone position.
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spelling pubmed-62502902018-12-10 Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury Kay, Fernando Uliana Beraldo, Marcelo A. Nakamura, Maria A. M. De Santis Santiago, Roberta Torsani, Vinicius Gomes, Susimeire Roldan, Rollin Tucci, Mauro R. Abbara, Suhny Amato, Marcelo B. P. Amaro, Edson J Comput Assist Tomogr Pulmonary and Thoracic Applications of Dual Energy CT OBJECTIVE: The aims of this study were to investigate the ability of contrast-enhanced dual-energy computed tomography (DECT) for assessing regional perfusion in a model of acute lung injury, using dynamic first-pass perfusion CT (DynCT) as the criterion standard and to evaluate if changes in lung perfusion caused by prone ventilation are similarly demonstrated by DECT and DynCT. METHODS: This was an institutional review board–approved study, compliant with guidelines for humane care of laboratory animals. A ventilator-induced lung injury protocol was applied to 6 landrace pigs. Perfused blood volume (PBV) and pulmonary blood flow (PBF) were respectively quantified by DECT and DynCT, in supine and prone positions. The lungs were segmented in equally sized regions of interest, namely, dorsal, middle, and ventral. Perfused blood volume and PBF values were normalized by lung density. Regional air fraction (AF) was assessed by triple-material decomposition DECT. Per-animal correlation between PBV and PBF was assessed with Pearson R. Regional differences in PBV, PBF, and AF were evaluated with 1-way analysis of variance and post hoc linear trend analysis (α = 5%). RESULTS: Mean correlation coefficient between PBV and PBF was 0.70 (range, 0.55–0.98). Higher PBV and PBF values were observed in dorsal versus ventral regions. Dorsal-to-ventral linear trend slopes were −10.24 mL/100 g per zone for PBV (P < 0.001) and −223.0 mL/100 g per minute per zone for PBF (P < 0.001). Prone ventilation also revealed higher PBV and PBF in dorsal versus ventral regions. Dorsal-to-ventral linear trend slopes were −16.16 mL/100 g per zone for PBV (P < 0.001) and −108.2 mL/100 g per minute per zone for PBF (P < 0.001). By contrast, AF was lower in dorsal versus ventral regions in supine position, with dorsal-to-ventral linear trend slope of +5.77%/zone (P < 0.05). Prone ventilation was associated with homogenization of AF distribution among different regions (P = 0.74). CONCLUSIONS: Dual-energy computed tomography PBV is correlated with DynCT-PBF in a model of acute lung injury, and able to demonstrate regional differences in pulmonary perfusion. Perfusion was higher in the dorsal regions, irrespectively to decubitus, with more homogeneous lung aeration in prone position. Lippincott Williams & Wilkins 2018 2018-10-29 /pmc/articles/PMC6250290/ /pubmed/30371620 http://dx.doi.org/10.1097/RCT.0000000000000815 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Pulmonary and Thoracic Applications of Dual Energy CT
Kay, Fernando Uliana
Beraldo, Marcelo A.
Nakamura, Maria A. M.
De Santis Santiago, Roberta
Torsani, Vinicius
Gomes, Susimeire
Roldan, Rollin
Tucci, Mauro R.
Abbara, Suhny
Amato, Marcelo B. P.
Amaro, Edson
Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury
title Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury
title_full Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury
title_fullStr Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury
title_full_unstemmed Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury
title_short Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury
title_sort quantitative dual-energy computed tomography predicts regional perfusion heterogeneity in a model of acute lung injury
topic Pulmonary and Thoracic Applications of Dual Energy CT
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6250290/
https://www.ncbi.nlm.nih.gov/pubmed/30371620
http://dx.doi.org/10.1097/RCT.0000000000000815
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