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

Overview of attention for article published in Radiologia Brasileira, January 2017
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Title
Use of computed tomography and automated software for quantitative analysis of the vasculature of patients with pulmonary hypertension
Published in
Radiologia Brasileira, January 2017
DOI 10.1590/0100-3984.2016.0163
Pubmed ID
Authors

Danilo Tadao Wada, Adriana Ignácio de Pádua, Moyses Oliveira Lima, José Antonio Marin, Jorge Elias, José Baddini-Martinez, Marcel Koenigkam Santos

Abstract

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. 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). 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. 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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Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 20%
Student > Bachelor 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Student > Postgraduate 1 20%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 4 80%
Nursing and Health Professions 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2018.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Radiologia Brasileira
#303
of 394 outputs
Outputs of similar age
#362,584
of 421,709 outputs
Outputs of similar age from Radiologia Brasileira
#17
of 20 outputs
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