Related Experiment Video
Updated: Jun 4, 2026
08:02
Establishment of a Minimally Invasive Rat Model of Pulmonary Embolism Using Autologous Blood Clots
Published on: October 25, 2024
A Promptable 3D-CT Foundation Model-Based Approach for Pulmonary Embolism.
K Le Floch1,2, E Ferreres3, J Khlaut4,3
1Department of Vascular and Oncological interventional Radiology, Hôpital Européen Georges Pompidou, HeKA PRAIRIE-PSAI, INRIA Paris, Paris, France. korentin.lefloch@aphp.fr.
Cardiovascular and Interventional Radiology
|June 2, 2026
Summary
ClotIA, an AI tool, rapidly quantifies pulmonary embolism (PE) clot volume using computed tomography angiography (CTA). This automated segmentation correlates with PE severity markers, improving clinical assessment.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Medicine
- Cardiovascular Disease Research
Background:
- Blood clot volume (BCV) is a key biomarker for pulmonary embolism (PE) severity.
- Manual segmentation of thrombi on computed tomography angiography (CTA) is time-consuming, limiting clinical utility.
- Objective biomarkers are crucial for accurate PE assessment and treatment guidance.
Purpose of the Study:
- To evaluate ClotIA (Clot Interventional AI), a foundation model (FM)-based approach for rapid and interactive clot segmentation in PE.
- To assess the feasibility of AI-driven BCV quantification for clinical application.
- To overcome the limitations of manual segmentation in PE assessment.
Main Methods:
- A foundation model (RAPSv2) was fine-tuned on 309 PE patients from the RSPECT dataset.
- Segmentation performance was measured using the Dice similarity coefficient (DSC) and compared to nnUNet.
- The AI-predicted BCV was correlated with established imaging biomarkers of PE severity.
Main Results:
- ClotIA achieved a mean DSC of 0.83 after guided refinement, outperforming baseline and nnUNet.
- Predicted BCV demonstrated strong agreement with reference volumes (r=0.995).
- AI-quantified BCV significantly correlated with right ventricle/left ventricle (RV/LV) diameter (r=0.62) and volume ratios (r=0.68).
Conclusions:
- ClotIA facilitates rapid and reproducible 3D quantification of PE thrombi.
- The AI tool's findings correlate with established PE severity markers.
- ClotIA provides a foundation for translating novel biomarkers into clinical practice for PE management.
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