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TERATEC 2020 Forum
Tuesday October 13, 2020 - Workshops

Workshop 07 - 14:00 to 15:30

Digital twin in medicine: are we [im] patients?
Chared by Philippe Gesnouin Project Officer EIT Health and EIT Digital, Inria

A Virtual Twin of the Epileptic Brain for Assisting the Surgical Decision
By Cecile Bonnard, Application manager, 3DS

Copyright Dassault Systèmes

Epilepsy surgery is the only curative treatment available today for patients with drug-resistant focal epilepsy. It consists in the resection of the most epileptogenic brain area identified in the patient. The surgical outcome depends on the accurate localization and complete resection of the epileptogenic zone, defined as the area necessary and sufficient for initiating seizures and whose removal or disconnection is necessary for abolition of seizures. The (complete or partial) failure rate of the surgery varies between 30 and 40% in the cases of temporal lobe epilepsies and 50% in the cases of extra-temporal epilepsies.

To improve surgical efficacy, the EPINOV Hospital-University Research Project (RHU) implements a neuro-informatic presurgical planning approach based on large-scale brain modeling using individual imaging and stereo-encephalographic data on drug-resistant epilepsy patients. The objective of this virtual twin of the epileptic brain is to improve the interpretation of SEEG recordings and thus to better guide surgical strategies.

The EPINOV project is currently evaluating this approach through a multicentric randomized clinical study, involving 13 neurosurgical centers in France. Dassault Systèmes is developing a simulation pipeline based on medical data that estimates the value of epileptogenicity according to the cortical region. The Living Brain simulation results are visualized in a medical platform intended for neurologists and neurosurgeons involved in the surgical decision.

Biography  : Cécile began working on virtual human modeling for life sciences in 2010 at the Sobios company. After Sobios was acquired by Dassault Systèmes in 2014, she worked as a project manager on a number of life sciences applications as part of BIOVIA, a Dassault Systèmes’ brands addressing life sciences.

Since 2020, she joined Dassault Systèmes’ Corporate Research department as expert on the team in charge of the Human Virtual Twin initiative.

Cécile holds an engineer degree in Agronomic sciences, and completed her PhD in Informatic in Montpellier in 2010.

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