ArticleAnnals of thoracic medicine
Diagnostic implications of computed tomography pulmonary angiography in patients with pulmonary embolism.
Article in Annals of thoracic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 21 citations in OpenAlex.
- Deep learning models for pulmonary embolism segmentation on dual-energy CT: performance analysis and image quality correlation.BMC medical imaging · 2026Article
- Developing a novel deep learning-based model for automatic right ventricular parameters assessment on ctpa in pulmonary embolism.Emergency radiology · 2025Article
- Does Adding the Pulmonary Infarction and Right Ventricle to Left Ventricle Diameter Ratio to the Qanadli Index (A Combined Qanadli Index) More Accurately, Predict Short-Term Mortality in Patients with Pulmonary Embolism?The Indian journal of radiology & imaging · 2023Article
- Clot burden of acute pulmonary thromboembolism: comparison of two deep learning algorithms, Qanadli score, and Mastora score.Quantitative imaging in medicine and surgery · 2022Article
- Clinical Characteristics and Risk Factors for Early versus Late Pulmonary Embolism in Trauma Patients: A Retrospective, Observational Study.International journal of general medicine · 2022Article
- Clinical and computed tomography characteristics of COVID-19 associated acute pulmonary embolism: A different phenotype of thrombotic disease?Thrombosis research · 2020Article
- Evaluation of acute pulmonary embolism and clot burden on CTPA with deep learning.European radiology · 2020Article
- Prevalence and Outcomes of Thrombophilia in Patients with Acute Pulmonary Embolism.Vascular health and risk management · 2020Observational
- Implications of elevated cardiac troponin in patients presenting with acute pulmonary embolism: an observational study.Journal of thoracic disease · 2019Article
- Reproducibility of thrombus volume quantification in multicenter computed tomography pulmonary angiography studies.World journal of radiology · 2018Article
- Diagnosis of Deep Venous Thrombosis and Pulmonary Embolism: New Imaging Tools and Modalities.Clinics in chest medicine · 2018Review
- Value of CT pulmonary angiography to predict short-term outcome in patient with pulmonary embolism.The international journal of cardiovascular imaging · 2018Article
- A new method of CT for the cardiac measurement: correlation of computed tomography measured cardiac parameters and pulmonary obstruction index to assess cardiac morphological changes in acute pulmonary embolism patients.Journal of thrombosis and thrombolysis · 2018Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPulmonary embolism (PE) is a serious cardiovascular and pulmonary complication worldwide. We aimed to assess the implications of different computed tomography pulmonary angiography (CTPA) parameters in patients with acute PE.
methodsA retrospective observational study to include patients presented with clinical suspicious of PE who underwent CTPA was conducted. Patients' demographics, clinical presentation, risk factors, laboratory investigations, management, and outcome were analyzed. Computed tomography findings included clot burden (Qanadli score [QS]) and right ventricular dysfunction (RVD) parameters.
resultsA total of 45 patients with radiologically confirmed diagnosis of PE were included in the study; of these patients, 8 (17.8%) died during the hospital course. Patients who died were 13 years older than those who survived, and the mortality rate was significantly higher in patients with cancer. The two groups were comparable for cardiovascular parameters. The mean clot burden (QS) was 19.5 ± 11.3 points and 53% of patients had QS >18 points. Obesity (52.4% vs. 12.5%;
conclusionsClot burden >18 is associated with RV dysfunction in patients with acute PE. Echocardiography and RVD parameters showed no correlation with in-hospital deaths. CTPA has clinicoradiological implications for risk stratification in PE patients. As the sample size is small, our findings warrant further larger prospective studies.
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