ArticleBMC medical imaging2023
Diagnostic value of 3D volume measurement of central pulmonary artery based on CTPA images in the pulmonary hypertension.
Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 citations in OpenAlex.
- Quantitative imaging features of pulmonary artery involvement in Takayasu arteritis on computed tomography pulmonary angiography in patients with and without pulmonary hypertension.Quantitative imaging in medicine and surgery · 2026Article
- AI-based pulmonary artery to ascending aorta ratio on non-contrast CT for pulmonary hypertension: diameter vs. volume assessment.European heart journal. Imaging methods and practice · 2026Article
- AI-based prediction of pulmonary hypertension in COPD patients with cor pulmonale using clinical and CT features.Frontiers in medicine · 2026Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThis retrospective study aims to evaluate the diagnostic value of volume measurement of central pulmonary arteries using computer tomography pulmonary angiography (CTPA) for predicting pulmonary hypertension (PH).
methodsA total of 59 patients in our hospital from November 2013 to April 2021 who underwent both right cardiac catheterization (RHC) and CTPA examination were included. Systolic pulmonary artery pressure (SPAP), mean PAP (mPAP), and diastolic PAP (DPAP) were acquired from RHC testing. Patients were divided into the non-PH group (18 cases) and the PH group (41 cases). The diameters of the main pulmonary artery (D
resultsAll parameters (D
conclusionThe 3D volume measurement of the MPA and RPA based on CTPA images maybe more informative than the traditional diameter and cross-sectional area in predicting PH.
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Registered trials
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