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Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension

OBJECTIVE: To perform a quantitative analysis of the lung parenchyma and pulmonary vasculature of patients with pulmonary hypertension (PH) on computed tomography angiography (CTA) images, using automated software. MATERIALS AND METHODS: We retrospectively analyzed the CTA findings and clinical reco...

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Autores principales: Wada, Danilo Tadao, de Pádua, Adriana Ignácio, Lima Filho, Moyses Oliveira, Marin Neto, José Antonio, Elias Júnior, Jorge, Baddini-Martinez, José, Santos, Marcel Koenigkam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746878/
https://www.ncbi.nlm.nih.gov/pubmed/29307924
http://dx.doi.org/10.1590/0100-3984.2016.0163
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author Wada, Danilo Tadao
de Pádua, Adriana Ignácio
Lima Filho, Moyses Oliveira
Marin Neto, José Antonio
Elias Júnior, Jorge
Baddini-Martinez, José
Santos, Marcel Koenigkam
author_facet Wada, Danilo Tadao
de Pádua, Adriana Ignácio
Lima Filho, Moyses Oliveira
Marin Neto, José Antonio
Elias Júnior, Jorge
Baddini-Martinez, José
Santos, Marcel Koenigkam
author_sort Wada, Danilo Tadao
collection PubMed
description OBJECTIVE: To perform a quantitative analysis of the lung parenchyma and pulmonary vasculature of patients with pulmonary hypertension (PH) on computed tomography angiography (CTA) images, using automated software. MATERIALS AND METHODS: We retrospectively analyzed the CTA findings and clinical records of 45 patients with PH (17 males and 28 females), in comparison with a control group of 20 healthy individuals (7 males and 13 females); the mean age differed significantly between the two groups (53 ± 14.7 vs. 35 ± 9.6 years; p = 0.0001). RESULTS: The automated analysis showed that, in comparison with the controls, the patients with PH showed lower 10th percentile values for lung density, higher vascular volumes in the right upper lung lobe, and higher vascular volume ratios between the upper and lower lobes. In our quantitative analysis, we found no differences among the various PH subgroups. We inferred that a difference in the 10th percentile values indicates areas of hypovolemia in patients with PH and that a difference in pulmonary vascular volumes indicates redistribution of the pulmonary vasculature and an increase in pulmonary vasculature resistance. CONCLUSION: Automated analysis of pulmonary vessels on CTA images revealed alterations and could represent an objective diagnostic tool for the evaluation of patients with PH.
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spelling pubmed-57468782018-01-05 Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension Wada, Danilo Tadao de Pádua, Adriana Ignácio Lima Filho, Moyses Oliveira Marin Neto, José Antonio Elias Júnior, Jorge Baddini-Martinez, José Santos, Marcel Koenigkam Radiol Bras Original Articles OBJECTIVE: To perform a quantitative analysis of the lung parenchyma and pulmonary vasculature of patients with pulmonary hypertension (PH) on computed tomography angiography (CTA) images, using automated software. MATERIALS AND METHODS: We retrospectively analyzed the CTA findings and clinical records of 45 patients with PH (17 males and 28 females), in comparison with a control group of 20 healthy individuals (7 males and 13 females); the mean age differed significantly between the two groups (53 ± 14.7 vs. 35 ± 9.6 years; p = 0.0001). RESULTS: The automated analysis showed that, in comparison with the controls, the patients with PH showed lower 10th percentile values for lung density, higher vascular volumes in the right upper lung lobe, and higher vascular volume ratios between the upper and lower lobes. In our quantitative analysis, we found no differences among the various PH subgroups. We inferred that a difference in the 10th percentile values indicates areas of hypovolemia in patients with PH and that a difference in pulmonary vascular volumes indicates redistribution of the pulmonary vasculature and an increase in pulmonary vasculature resistance. CONCLUSION: Automated analysis of pulmonary vessels on CTA images revealed alterations and could represent an objective diagnostic tool for the evaluation of patients with PH. Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2017 /pmc/articles/PMC5746878/ /pubmed/29307924 http://dx.doi.org/10.1590/0100-3984.2016.0163 Text en © Colégio Brasileiro de Radiologia e Diagnóstico por Imagem http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wada, Danilo Tadao
de Pádua, Adriana Ignácio
Lima Filho, Moyses Oliveira
Marin Neto, José Antonio
Elias Júnior, Jorge
Baddini-Martinez, José
Santos, Marcel Koenigkam
Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
title Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
title_full Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
title_fullStr Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
title_full_unstemmed Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
title_short Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
title_sort use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746878/
https://www.ncbi.nlm.nih.gov/pubmed/29307924
http://dx.doi.org/10.1590/0100-3984.2016.0163
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