ReviewJournal of imaging2024
Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review.
Review in Journal of imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- The Evolving Landscape of Pulmonary Vascular Disease: Current Advances and Future Directions in Pulmonary Hypertension and Pulmonary Embolism.Life (Basel, Switzerland) · 2026Article
- The Hidden Potential of Computed Tomography Pulmonary Angiography in Acute Pulmonary Embolism.Cardiovascular and interventional radiology · 2026Article
- A Simplified CT Score for Thrombus Burden in Acute Pulmonary Embolism: Clinical Correlation and Reproducibility.Journal of imaging · 2026Article
- Frequency-domain band-pass filtering enhanced pulsation method for pulmonary embolism diagnosis and risk stratification: a two-center retrospective study.Critical care (London, England) · 2026Article
- Evaluating inferior vena cava reflux and RV/LV ratio as predictors of acute pulmonary thromboembolism severity.Journal of cardiothoracic surgery · 2026Article
- When Cancer Clots: An Extensive Radiologic Analysis of Cancer-Associated Thromboembolism.Cancers · 2026Review
- Quantitative assessment of risk stratification of acute pulmonary embolism based on three-dimensional computed tomography bronchography and angiography.Journal of thoracic disease · 2026Article
- AI-Based Pulmonary Embolism Detection: The Added Value of a False-Positive Reduction Module over a Region Proposal Network.Diagnostics (Basel, Switzerland) · 2026Article
- Feasibility of Ultra-Dilute Iodine Contrast Agent in Dual-Layer Spectral CT for Pulmonary Artery ImagingCurrent medical imaging · 2026Article
- A nomogram integrating CTPA parameters and serum biomarkers to predict 30-day mortality and refine risk stratification in non-high-risk acute pulmonary embolism.Frontiers in cardiovascular medicine · 2026Article
- Lesion feature enhancement and boundary-aware fusion for pulmonary embolism recognition on CT images.Frontiers in medicine · 2026Article
- Developing a novel deep learning-based model for automatic right ventricular parameters assessment on ctpa in pulmonary embolism.Emergency radiology · 2025Article
- Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation.Journal of imaging · 2025Article
- The Role of Non-invasive Tests in Pulmonary Embolism.Interventional cardiology (London, England) · 2025Review
- The Role of Artificial Intelligence in Diagnosing Pulmonary Embolism: A Systematic Review and Meta-analysis.Archives of academic emergency medicine · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study is to conduct a literature review on the current role of computed tomography pulmonary angiography (CTPA) in the diagnosis and prognosis of pulmonary embolism (PE). It addresses key topics such as the quantification of the thrombotic burden, its role as a predictor of mortality, new diagnostic techniques that are available, the possibility of analyzing the thrombus composition to differentiate its evolutionary stage, and the applicability of artificial intelligence (AI) in PE through CTPA. The only finding from CTPA that has been validated as a prognostic factor so far is the right ventricle/left ventricle (RV/LV) diameter ratio being >1, which is associated with a 2.5-fold higher risk of all-cause mortality or adverse events, and a 5-fold higher risk of PE-related mortality. The increasing use of techniques such as dual-energy computed tomography allows for the more accurate diagnosis of perfusion defects, which may go undetected in conventional computed tomography, identifying up to 92% of these defects compared to 78% being detected by CTPA. Additionally, it is essential to explore the latest advances in the application of AI to CTPA, which are currently expanding and have demonstrated a 23% improvement in the detection of subsegmental emboli compared to manual interpretation. With deep image analysis, up to a 95% accuracy has been achieved in predicting PE severity based on the thrombus volume and perfusion deficits. These advancements over the past 10 years significantly contribute to early intervention strategies and, therefore, to the improvement of morbidity and mortality outcomes for these patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.