Numerical modelling challenges for clinical electroporation ablation technique of liver tumors

Electroporation ablation is a promising non surgical and minimally invasive technique of tumor ablation, for which no monitoring is currently available. In this paper, we present the recent advances and challenges on the numerical modeling of clinical electroporation ablation of liver tumors. In particular, we show that a nonlinear static electrical model of tissue combined with clinical imaging can give crucial information of the electric field distribution in the clinical configuration. We conclude the paper by presenting some important questions that have to be addressed for an effective impact of computational modeling in clinical practice of electroporation ablation.

[1]  C. Poignard,et al.  Free boundary problem for cell protrusion formations: theoretical and numerical aspects , 2017, Journal of mathematical biology.

[2]  D. Chapelle,et al.  Reduced-order Unscented Kalman Filtering with application to parameter identification in large-dimensional systems , 2011 .

[3]  Helen Kavnoudias,et al.  In vivo characterization and numerical simulation of prostate properties for non‐thermal irreversible electroporation ablation , 2014, The Prostate.

[4]  Dieter Haemmerich,et al.  In vivo electrical conductivity of hepatic tumours. , 2003, Physiological measurement.

[5]  Boris Rubinsky,et al.  In vivo results of a new focal tissue ablation technique: irreversible electroporation , 2006, IEEE Transactions on Biomedical Engineering.

[6]  L. Mir,et al.  Electrochemotherapy, a new antitumor treatment. First clinical phase I‐II trial , 1993, Cancer.

[7]  W Krassowska,et al.  Response of a single cell to an external electric field. , 1994, Biophysical journal.

[8]  D Miklavcic,et al.  Vascular disrupting action of electroporation and electrochemotherapy with bleomycin in murine sarcoma , 2008, British Journal of Cancer.

[9]  William Rucklidge,et al.  Efficient Visual Recognition Using the Hausdorff Distance , 1996, Lecture Notes in Computer Science.

[10]  P. Tallec,et al.  Joint state and parameter estimation for distributed mechanical systems , 2008 .

[11]  C. Poignard,et al.  Irreversible Electroporation: Disappearance of Observable Changes at Imaging Does Not Always Imply Complete Reversibility of the Underlying Causal Tissue Changes. , 2017, Radiology.

[12]  Holden H. Wu,et al.  Contrast Enhancement Patterns after Irreversible Electroporation: Experimental Study of CT Perfusion Correlated to Histopathology in Normal Porcine Liver. , 2016, Journal of vascular and interventional radiology : JVIR.

[13]  C Gabriel,et al.  The dielectric properties of biological tissues: I. Literature survey. , 1996, Physics in medicine and biology.

[14]  Boris Rubinsky,et al.  Irreversible Electroporation: A New Ablation Modality — Clinical Implications , 2007, Technology in cancer research & treatment.

[15]  Todd H. Oakley,et al.  A Post-Synaptic Scaffold at the Origin of the Animal Kingdom , 2007, PloS one.

[16]  Boris Rubinsky,et al.  In vivo electrical conductivity measurements during and after tumor electroporation: conductivity changes reflect the treatment outcome , 2009, Physics in medicine and biology.

[17]  B. Denis de Senneville,et al.  EVolution: an edge-based variational method for non-rigid multi-modal image registration , 2016, Physics in medicine and biology.

[18]  Antoni Ivorra,et al.  Electrical modeling of the influence of medium conductivity on electroporation. , 2010, Physical chemistry chemical physics : PCCP.

[19]  Boris Rubinsky,et al.  Tumor Ablation with Irreversible Electroporation , 2007, PloS one.

[20]  Damijan Miklavcic,et al.  Real time electroporation control for accurate and safe in vivo non-viral gene therapy. , 2007, Bioelectrochemistry.

[21]  Rafael V. Davalos,et al.  In Vivo Irreversible Electroporation Kidney Ablation: Experimentally Correlated Numerical Models , 2015, IEEE Transactions on Biomedical Engineering.

[22]  A. T. Esser,et al.  Towards Solid Tumor Treatment by Irreversible Electroporation: Intrinsic Redistribution of Fields and Currents in Tissue , 2007, Technology in cancer research & treatment.

[23]  N. Labarbera Uncertainty Quantification in Irreversible Electroporation Simulations , 2017, Bioengineering.

[24]  L. Mir,et al.  Conducting and permeable states of cell membrane submitted to high voltage pulses: mathematical and numerical studies validated by the experiments. , 2014, Journal of theoretical biology.

[25]  Boris Rubinsky,et al.  Electric Field Redistribution due to Conductivity Changes during Tissue Electroporation: Experiments with a Simple Vegetal Model , 2009 .

[26]  D. Miklavčič,et al.  Time-Dependent Finite Element Analysis of In Vivo Electrochemotherapy Treatment , 2018, Technology in cancer research & treatment.

[27]  L. Mir,et al.  Electrochemotherapy with bleomycin induces hallmarks of immunogenic cell death in murine colon cancer cells , 2014, Oncoimmunology.

[28]  Rafael V. Davalos,et al.  Experimental Characterization and Numerical Modeling of Tissue Electrical Conductivity during Pulsed Electric Fields for Irreversible Electroporation Treatment Planning , 2012, IEEE Transactions on Biomedical Engineering.

[29]  Tomaz Slivnik,et al.  Sequential finite element model of tissue electropermeabilization , 2005, IEEE Transactions on Biomedical Engineering.

[30]  O. Seror,et al.  Real-Time 3D Virtual Target Fluoroscopic Display for Challenging Hepatocellular Carcinoma Ablations Using Cone Beam CT , 2018, Technology in cancer research & treatment.

[31]  R. W. Lau,et al.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. , 1996, Physics in medicine and biology.

[32]  R. E. Neal,et al.  An evaluation of irreversible electroporation thresholds in human prostate cancer and potential correlations to physiological measurements , 2017, APL bioengineering.

[33]  Olaf Steinbach,et al.  Simulation of floating potentials in industrial applications by boundary element methods , 2014 .

[34]  Dominique Chapelle,et al.  A Luenberger observer for reaction-diffusion models with front position data , 2015, J. Comput. Phys..

[35]  V. Bourcier,et al.  Safety and Efficacy of Irreversible Electroporation for the Treatment of Hepatocellular Carcinoma Not Amenable to Thermal Ablation Techniques: A Retrospective Single-Center Case Series. , 2017, Radiology.

[36]  R. E. Neal,et al.  Introduction to Irreversible Electroporation--Principles and Techniques. , 2015, Techniques in vascular and interventional radiology.

[37]  Suyashree Bhonsle,et al.  Implications and considerations of thermal effects when applying irreversible electroporation tissue ablation therapy , 2015, The Prostate.

[38]  Thomas A. Lipo,et al.  Dual-Stator Two-Phase Permanent Magnet Machines With Phase-Group Concentrated-Coil Windings for Torque Enhancement , 2015 .

[39]  Clair Poignard,et al.  Numerical workflow of irreversible electroporation for deep-seated tumor , 2019, Physics in medicine and biology.

[40]  S. Osher,et al.  A Non-oscillatory Eulerian Approach to Interfaces in Multimaterial Flows (the Ghost Fluid Method) , 1999 .

[41]  M. Kranjc,et al.  Dynamic finite-element model for efficient modelling of electric currents in electroporated tissue , 2016, Scientific Reports.

[42]  Yan Li,et al.  Irreversible electroporation of the pancreas: Definitive local therapy without systemic effects , 2010, Journal of surgical oncology.

[43]  M. Bloomston,et al.  Ex vivo electrical impedance measurements on excised hepatic tissue from human patients with metastatic colorectal cancer , 2015, Physiological measurement.

[44]  Robert C. G. Martin,et al.  Efficacy of irreversible electroporation in human pancreatic adenocarcinoma: advanced murine model , 2015, Molecular therapy. Methods & clinical development.

[45]  Clair Poignard,et al.  Non-Linear Steady-State Electrical Current Modeling for the Electropermeabilization of Biological Tissue , 2014, IEEE Transactions on Magnetics.

[46]  Boris Rubinsky,et al.  Theoretical analysis of the thermal effects during in vivo tissue electroporation. , 2003, Bioelectrochemistry.

[47]  Clair Poignard,et al.  Dynamical modeling of tissue electroporation. , 2018, Bioelectrochemistry.

[48]  D. Hippe,et al.  Irreversible Electroporation in Patients with Hepatocellular Carcinoma: Immediate versus Delayed Findings at MR Imaging. , 2016, Radiology.

[49]  Torben Skovsgaard,et al.  Vascular reactions to in vivo electroporation: characterization and consequences for drug and gene delivery. , 2002, Biochimica et biophysica acta.

[50]  Dieter Haemmerich,et al.  Electrical conductivity measurement of excised human metastatic liver tumours before and after thermal ablation , 2009, Physiological measurement.