ArticleCardiovascular and interventional radiology2026
A Promptable 3D-CT Foundation Model-Based Approach for Pulmonary Embolism.
Article in Cardiovascular and interventional radiology, 2026. 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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Who cites it
3 citing papers in PubMed.
- Safety and Efficacy of Vascular Embolization with N-Butyl Cyanoacrylate-Lipiodol Mixture: A Systematic Literature Review and Meta-Analysis of 8996 Patients.Cardiovascular and interventional radiology · 2026Review
- 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
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Authors and funding
12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeBlood clot volume (BCV), defined as the total three-dimensional (3D) volume of the thrombus on computed tomography angiography (CTA), is an objective biomarker of pulmonary embolism (PE) severity whose clinical use is limited by time-consuming manual segmentation. This study evaluates ClotIA (Clot Interventional AI), a foundation model (FM)-based approach designed for rapid and interactive clot segmentation in PE. MATERIALS AND
methodsRAPSv2, a foundation model derived from SAM2, was fine-tuned on a stratified sample of 309 patients from the RSPECT dataset (2020). Segmentation performance was evaluated using the Dice similarity coefficient (DSC) and compared to that of nnUNet (no-new-Net). The predicted BCV was correlated with imaging biomarkers of PE severity.
resultsClotIA achieved a mean DSC of 0.83 ± 0.06 after guided refinement, compared to 0.79 ± 0.10 at baseline (p < 0.001) and 0.81 ± 0.13 for nnUNet (p < 0.001). The predicted BCV showed strong agreement with the reference volume (r = 0.995; mean bias + 0.12 mL) and was significantly correlated with RV/LV diameter ratio (r = 0.62, p < 0.001) and RV/LV volume ratio (r = 0.68, p < 0.001).
conclusionClotIA enables rapid and reproducible 3D quantification of pulmonary embolism thrombi, correlating with established severity markers and providing the necessary basis for translating emerging biomarkers into clinical practice.
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