Irreversible electroporation is a curative treatment for cancerous liver lesions, performed on deep-seated tumors that are not eligible for surgical resection or percutaneous thermal ablation. The EVALHEP project aims to develop criteria for evaluating the effectiveness of the treatment based on imaging, mathematical models, and numerical simulations to assist radiologists who perform these complex procedures.
Percutaneous destruction of malignant liver tumors has been developing in routine clinical practice for around twenty years, and is performed by interventional radiologists under imaging guidance (ultrasound, computed tomography (CT), Cone-Beam CT...). Irreversible electroporation (IRE) is a percutaneous tumor destruction technique distinguished from other ablation methods by its non-thermal mechanism of action. The rationale behind IRE is that cells subjected to a powerful pulsed electric field will have their membrane irreversibly damaged and destroyed, while the surrounding extracellular matrix will be respected. This technology offers the opportunity to effectively destroy lesions that would be impossible to treat by any other method, due to their critical tumor location, close to vital structures at risk. Although it has demonstrated its clinical efficacy over the years, with the potential to provide safe, curative treatment for patients with deep, poorly located tumors, IRE is considered a complex procedure, subject to numerous variability factors, and remains under-utilized to this day. Precise insertion of several needles (up to 6) at tumor level is required to obtain a homogeneous electric field of sufficient intensity. To date, there is no way of assessing the effectiveness of the procedure in real time, and inaccuracies in needle positioning or in treatment parameters will generate changes in the distribution of the electric field that may adversely affect treatment efficacy. What's more, it remains difficult to assess treatment efficacy on post-therapy images, the interpretation of which is subject to controversy. The Interventional Radiology (IR) unit of the University Hospitals of Paris Seine Saint Denis (HUPSSD) has been using IRE for over 10 years as part of its clinical routine, mainly for the ablation of liver tumors, and in particular hepatocellular carcinoma (HCC) which is inoperable and ineligible for conventional thermo-ablation. Over the past ten years, more than 350 patients have benefited from one or more IREs for the treatment of liver tumors at HUPSSD, making the department a reference center in the field. Thanks to the contributions of mathematics applied to oncology, numerical tools and the clinical experience of the HUPSSD IR department, the aim of this project is to develop evaluation criteria for IRE ablations of liver tumors based on clinical imaging and numerical simulations of the electric field.
Study Type
OBSERVATIONAL
Enrollment
50
Service d'imagerie diagnostique et interventionnelle tri-site des HUPSSD
Bobigny, France
RECRUITINGCorrelate 3D numerical simulations of the IRE electric field with patient imaging follow-up
Demonstrate a correlation between the treatment zones segmented on post-therapy MRI scans and the three-dimensional electric field isolines obtained using digital simulations.
Time frame: 72 hours and 1 month after treatment
Calculation of the tumor coverage rate by the various electric field isolines at different relevant values (for example, three-dimensional isolines between 300 and 700V.cm-1 will be simulated numerically).
Determine a threshold for IRE of liver tumors by combining numerical electric field resolution and post-treatment imaging data.
Time frame: 72 hours and 1 month after treatment
Correlation of recovery rate with treatment outcome and local recurrence during clinical follow-up
Assess inter-individual variations in liver and tumor conductivity values based on impedance data provided by the IRE generator.
Time frame: 72 hours and 1 month after treatment
Identification and assessment of imaging biomarkers (radiomics-based) using numerical simulation and post-therapeutic imaging for treatment response evaluation.
Determine a threshold electric field value to be reached for complete treatment (calculation of sensitivity, specificity, PPV, NPV, ROC curve)
Time frame: 72 hours and 1 month after treatment
Digital resolution of electrical potential and tissue conductivity values from test pulses at the start of the procedure.
Evaluate the most suitable and clinically relevant numerical electroporation model (linear/non-linear, static/dynamic).
Time frame: 72 hours and 1 month after treatment
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Develop software solutions potentially usable in real-time and tailored for clinical use.
Demonstrate a correlation between the treatment zones segmented on post-therapy MRI
Time frame: 72 hours and 1 month after treatment