Distance Colour Map
Instantly highlights the critical apposition gaps between the aortic wall and the graft. Switch between simulations and select the optimal configuration for your patient.
*NOT FOR CLINICAL USE

Identify potential risk of endoleak
Designed to complementing the Endoleak Risk Index (ERI), the Distance Colour Map is a heatmap that show the apposition gap beetween the graft and the aortic wall.
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AI-Powered EVAR Planning
Endoleak Risk Index (ERI)
ERI-Endoleak Risk Index is an AI- powered index generated using 16,000 data points measured on the proximal neck.
ERI estimates endoleak risk with simulated endograft sizes, guiding surgeons toward optimal device selection to reduce the chances of complications.

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Frequently asked questions
What is aortic digital twin?
From a patient’s pre-operative CT scan, the aortic digital twin is created to faithfully reproduce both the shape and the bio mechanical behavior of the real aorta. This advanced 3D model allows precise simulation of how the patient’s anatomy responds to mechanical forces, providing a reliable virtual counterpart of the vessel.
What is ERI?
ERI stands for Endoleak Risk Index, is an AI-powered index based on the analysis of the intervention simulation, with a specific focus on the proximal apposition between the endograft and the patient-specific aortic digital twin. It assesses preoperatively the risk of Type IA endoleak associated with EVAR.
How is ERI calculated?
Each EVAR simulation automatically analyses the proximal aortic neck using 40 cross-sectional slices. For each slice, the aortic wall and endograft are sampled at 200 points each to measure local radii and apposition. This generates up to 16,000 detailed measurements per patient.
Are thrombus and calcifications taken into account?
It is important to distinguish between two different stages of analysis:
- Simulation: Only the aortic lumen is modeled; thrombus and calcifications are not yet included.
- Risk assessment (ERI): Thrombus burden is included as a variable in the machine-learning model used to compute risk.


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