ArticleQuantitative imaging in medicine and surgery2024
Clot ratio, new clot burden score with deep learning, correlates with the risk stratification of patients with acute pulmonary embolism.
Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 15 citations in OpenAlex.
- Artificial intelligence in computed tomography imaging for pulmonary embolism: a narrative review from computed tomography pulmonary angiography to non-contrast computed tomography.Quantitative imaging in medicine and surgery · 2026Review
- Comparison of the 8F Zelante and 6F Solent Angiojet Thrombectomy Catheter in the Treatment of Acute Pulmonary Embolism.Cardiovascular and interventional radiology · 2026Article
- Comparison of pulmonary ventilation/perfusion tomography and conventional diagnostic techniques in the diagnosis of pulmonary thromboembolism.Journal of thoracic disease · 2026Article
- 3D region-growing nnU-Net improves pulmonary embolism detection on CTPA: a dual-cohort validation study.European radiology experimental · 2026Article
- Effects of Clot Burden and Distribution on Pulmonary Embolism Response Team Patients.CHEST pulmonary · 2026Article
- An Integrated Clinical and Biomarker Model Using Penalized Regression to Predict In-Hospital Mortality in Acute Pulmonary Embolism.Journal of clinical medicine · 2026Article
- Developing a novel deep learning-based model for automatic right ventricular parameters assessment on ctpa in pulmonary embolism.Emergency radiology · 2025Article
- Prognostic value of pulmonary vessel-related structures in rapid progression of idiopathic inflammatory myopathy-associated interstitial lung disease: a retrospective study from two centres.BMJ open respiratory research · 2025Article
- Development of the Pulmonary Embolism Progression (PEP) score for predicting short-term clinical deterioration in intermediate-risk pulmonary embolism: a single-center retrospective study.Journal of thrombosis and thrombolysis · 2025Article
- The Role of Artificial Intelligence in Diagnosing Pulmonary Embolism: A Systematic Review and Meta-analysis.Archives of academic emergency medicine · 2025Review
- Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review.Journal of imaging · 2024Review
- CT-Derived Features as Predictors of Clot Burden and Resolution.Bioengineering (Basel, Switzerland) · 2024Article
- Pulmonary Embolism: Is AI One of the Team?Open respiratory archives · 2024Article
- Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot.Bleeding, thrombosis and vascular biology · 2024Article
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Risk stratification for patients with acute pulmonary embolism (APE) is significantly important for treatment and prognosis evaluation. We aimed to develop a novel clot burden score on computed tomography pulmonary angiography (CTPA) based on deep learning (DL) algorithm for risk stratification of APE. Methods: The study retrospectively enrolled patients newly diagnosed with APE in China-Japan Friendship Hospital consecutively. We collected baseline data and CTPA parameters, and calculated four different clot burden scores, including Qanadli score, Mastora score, clot volume and clot ratio. The former two were calculated by two radiologists separately, while clot volume and clot ratio were based on the DL algorithm. The area under the curve (AUC) of four clot burden scores were analyzed. Results: Seventy patients were enrolled, including 17 in high-/intermediate-high risk and 53 in low-/intermediate-low risk. Clot burden was related to the risk stratification of APE. Among four clot burden scores, clot ratio had the highest AUC (0.719, 95% CI: 0.569-0.868) to predict patients with higher risk. In the patients with hemodynamically stable APE, only clot ratio presented statistical difference (P=0.046). Conclusions: Clot ratio is a new imaging marker of clot burden which correlates with the risk stratification of patients with APE. Higher clot ratio may indicate higher risk and acute right ventricular dysfunction in patients with hemodynamically stable status.
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