2017
DOI: 10.1590/0100-3984.2016.0163
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: ObjectiveTo 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 MethodsWe 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 ± … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0
2

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 29 publications
0
3
0
2
Order By: Relevance
“…The discipline of radiology and diagnostic imaging has evolved greatly in recent years. Radiological imaging can be extremely complex, and it is recognized that the analysis of exams that produce hundreds of images, such as computed tomography (CT) and magnetic resonance imaging (MRI), poses challenges, even for experienced provide quantitative information on disease severity, as well as identifying biomarkers of prognosis and treatment response (4)(5)(6) . Those changes have been especially prominent in oncology, showing that the information provided by imaging studies can go far beyond determining whether a lesion is benign or malignant, now being able to indicate the histological type of the tumor, staging, presence of mutations, chance of treatment response, risk of recurrence, and expected survival (7)(8)(9) .…”
Section: Introductionmentioning
confidence: 99%
“…The discipline of radiology and diagnostic imaging has evolved greatly in recent years. Radiological imaging can be extremely complex, and it is recognized that the analysis of exams that produce hundreds of images, such as computed tomography (CT) and magnetic resonance imaging (MRI), poses challenges, even for experienced provide quantitative information on disease severity, as well as identifying biomarkers of prognosis and treatment response (4)(5)(6) . Those changes have been especially prominent in oncology, showing that the information provided by imaging studies can go far beyond determining whether a lesion is benign or malignant, now being able to indicate the histological type of the tumor, staging, presence of mutations, chance of treatment response, risk of recurrence, and expected survival (7)(8)(9) .…”
Section: Introductionmentioning
confidence: 99%
“…Regarding the Yacta program, the variables analyzed with the greatest statistical significance correlations were related to segmental bronchial luminal area and to the normalized thickness of the bronchial walls (AL3, AL4 and Pi10). This quantitative analysis of CT tools has been used in previous studies to analyze patients with different bronchopulmonary diseases, however, so far, studies using similar tools to analyze bronchiectasis subjects CT scans were performed only in the disease resulting from cystic fibrosis [ 22 , 28 , 29 ].…”
Section: Discussionmentioning
confidence: 99%
“…Muitos são os benefícios que a avaliação quantitativa das imagens pode proporcionar. Em outros contextos, como no câncer de pulmão, é possível se valer de ferramentas de extração de dados derivados das informações básicas (análise radiômica), melhorando a correlação com os tipos histológicos (7) ; no contexto da hipertensão pulmonar é possível demonstrar, de forma mais precisa, a redistribuição da trama vascular pulmonar (8) , conhecendo sua correlação com a perda de função pulmonar e a extensão de acometimento por doença intersticial na esclerose sistêmica (9) .…”
unclassified