- Open Access
Comparison of ablation defect on MR imaging with computer simulation estimated treatment zone following irreversible electroporation of patient prostate
© Srimathveeravalli et al. 2016
- Received: 3 August 2015
- Accepted: 16 February 2016
- Published: 29 February 2016
To determine whether patient specific numerical simulations of irreversible electroporation (IRE) of the prostate correlates with the treatment effect seen on follow-up MR imaging. Computer models were created using intra-operative US images, post-treatment follow-up MR images and clinical data from six patients receiving IRE. Isoelectric contours drawn using simulation results were compared with MR imaging to estimate the energy threshold separating treated and untreated tissue. Simulation estimates of injury to the neurovascular bundle and rectum were compared with clinical follow-up and patient reported outcomes. At the electric field strength of 700 V/cm, simulation estimated electric field distribution was not different from the ablation defect seen on follow-up MR imaging (p = 0.43). Simulation predicted cross sectional area of treatment (mean 532.33 ± 142.32 mm2) corresponded well with the treatment zone seen on MR imaging (mean 540.16 ± 237.13 mm2). Simulation results did not suggest injury to the rectum or neurovascular bundle, matching clinical follow-up at 3 months. Computer simulation estimated zone of irreversible electroporation in the prostate at 700 V/cm was comparable to measurements made on follow-up MR imaging. Numerical simulation may aid treatment planning for irreversible electroporation of the prostate in patients.
- Computer simulation
- Irreversible electroporation
The detection of prostate cancer has shifted to an earlier point in disease development, resulting in the increased incidence of early-stage small-volume cancer. Consequentially, there has been an emergence of minimally invasive surgical interventions designed to provide appropriate local oncologic control with negligible treatment related effects on quality of life (van den Bos et al. 2014; Valerio et al. 2014). Such focal tissue ablation techniques intend to preserve erectile, urinary and rectal function by minimizing damage to anatomical features such as neurovascular tissues, the urinary sphincter, bladder and rectum that surround the prostate. Thermal ablation techniques such as cryoablation (Cytron et al. 2009; Bahn et al. 2012; Onik et al. 2008), high intensity focused ultrasound (HIFU) (El Fegoun et al. 2011; Baco et al. 2014; Crouzet et al. 2014) and focal laser ablation (Lindner et al. 2010) have been evaluated for treatment of patients with localized prostate cancer with good short term outcomes (Ahmed et al. 2011, 2012). However, literature suggests that even focal ablation requires careful planning and application to avoid injury to vitally healthy tissue in the treatment vicinity (Barret et al. 2013).
Irreversible electroporation (IRE) is a new type of focal ablation that uses short high voltage electric pulses to create persistent micropores in the plasma membranes of cells, leading to cell death. IRE has been evaluated for ablation of the prostate in the preclinical (Onik et al. 2007; Neal et al. 2013) and clinical setting (Neal et al. 2014; Valerio et al. 2014). Even though the energy used during IRE may produce heating in the immediate vicinity of the electrodes (Faroja et al. 2013), it has been observed to be safe for the focal ablation of tumors adjacent to heat sensitive structures such as the bile duct (Silk et al. 2014) and the pancreas (Bower et al. 2011) in humans. IRE is performed by placing needle electrodes in tissue and applying a voltage between the electrodes to generate an in vivo ablative electric field. The in vivo electric field distribution is determined by the geometry of ablation probe placement, the voltage applied between the electrodes and the electrical conductivity of the tissue receiving treatment. The therapeutic efficacy and treatment outcomes following IRE ablation is therefore contingent on the size, shape and consistency of the in vivo distribution of this ablative electric field. The ablative electric field used to induce IRE in tissue has been reported to be susceptible to heterogeneities in electrical conductivity in the treatment region (Ben-David et al. 2013). There is concern that such intrinsic redistribution of the ablative electric field may cause unintended safety effects and also alter the intended volume and shape of the final treatment region. Patient specific computer simulations can model the ablative electric field distribution in the prostate using data obtained from pre and intra-operative imaging, and the treatment parameters. Therefore, the purpose of this study was to determine whether retrospectively constructed patient specific numerical simulations can map the treatment effect seen on follow-up MR imaging after irreversible electroporation of patient prostate.
This retrospective single institution study was approved by the institutional review board and performed in compliance with the Helsinki Declaration.
Patients and treatment
Patient characteristics and ablations data
IRE treatment information
Number of probes
Mean probe spacing (mm)
Mean voltage (V)
Pulse length (μs)
Number of ablations
Active surv (2009)
6 (3 + 3)
6 (3 + 3)
6 (3 + 3)
6 (3 + 3)
9 (4 + 5)
6 (3 + 3)
MR imaging protocol used during follow-up imaging
Time to repeat (ms)
Time to echo (ms)
Matrix (mm × mm)
246 × 256
246 × 256
102 × 128
128 × 160
Scan time (s)
Time resolution (s)
Subsequently, the follow-up MR images were also registered with the intra-operative US images in a similar process. The ablation defect was segmented from the follow-up imaging. The area of the prostate was measured from the intra-operative US images, and the follow-up MR images using GNU image processing software (GIMP). The area of the ablation defect was measured from the follow-up MR image and simulation results. In addition to visual assessment performed by two radiologists, the influence of post-treatment edema and resulting error in registration were evaluated by comparing the ratio of the prostate’s area between intra-operative US images and the follow-up MR images. The ablation area measurements from the follow-up MR image and the simulation results were compared in a similar fashion.
A numerical model of the Laplace equation was solved to estimate the electric field distribution within the tissue due to application of voltage between pairs of needle electrodes used for treatment delivery. Techniques previously described by Neal et al. (2012, 2010) and Daniels and Rubinsky (2012) were used to set up and solve the numerical models. The modeling and simulation techniques were developed and validated partly using data generated from IRE treatments performed in the kidney and pancreas of a large animal model (Wimmer et al. 2013, 2015).
Tissue electrical properties used in numerical simulation
Electrical conductivity S/m
Daniels and Rubinsky (2012)
Daniels and Rubinsky (2012)
Daniels and Rubinsky (2012)
Daniels and Rubinsky (2012)
Daniels and Rubinsky (2012)
Patient data was compiled from a review of all medical, imaging and pathological reports. Results of simulation studies were compared to outcomes determined by clinical data (PSA, quality of life survey) as well as follow-up MR imaging. The size of the ablation as estimated by numerical simulation and the actual ablation defect seen on MR imaging was compared and statistically analyzed for significance. Our study attempts to demonstrate that simulation model estimated ablation defect will not be different (or non-inferior) to the ablation defect measured on MR imaging. This requires a total of four samples per group to determine non-inferiority at 95 % confidence interval. In our case, the control (MRI) and treatment (simulation) data is drawn from the same patient, and our study was conducted using six patients (25 % more than what is required to achieve statistical power). Statistical analysis was conducted with Fisher exact test, χ2 for independence test (Excel; Microsoft, Redmond, WA) and p < 0.05 was considered significant. The ablation zones from the simulation and MR imaging were also evaluated using Pearson product moment correlation.
In the immediate post-treatment setting, non-contrast US images indicated presence of multiple diffuse regions with hyperechoic appearance within the ablation zone. There was also the occasional appearance of a hyperechoic region at the margin of the planned treatment zone. However, this was not clearly present in the entire treatment region and was not observed in all patients.
Area of prostate (mm2) observed with MRI and US at the same level
Axial cross-sectional area of prostate (mm2)
Axial cross-sectional area of ablation zone (mm2)
Not significant: (0.49)
Not significant: (0.43)
Comparison of simulation and follow-up imaging
The contour plot of electric field strength from the simulation was registered and compared with follow-up MR images to identify the electric field strength threshold that matched with the size of the post-ablation defect on imaging. It was found that the electric field strength contour at 700 V/cm correlated closely with the follow-up MR images (Simulation predicted ablation area: 532.33 mm2 in mean for all patients vs Ablation area measured on imaging: 540.16 mm2 in mean, p = 0.43) for all patient cases reviewed. This threshold was used to demarcate the expected ablation zone within the prostate and measurements (area and cross section) were performed using GIMP and presented in Table 4. Radiologist interpretation from two separate observers (F.C. and H.T.) suggested that the shape and size of the ablation predicted by the simulation compared well with all post-operative MR imaging in all cases. The two measurements had a correlation coefficient of 0.945 when evaluated using Pearson product moment technique. The ratio of measurements taken from the two modalities also indicated good correspondence between the techniques (mean 0.97; range 0.61–1.2).
Patients reported outcomes
Clinical outcomes following treatment
Follow-up MRI (days)
Post-op biopsy (outcome)
Most recent post-op PSA (months)
PSA (pre) (ng/ml)
PSA (post) (ng/ml)
Irreversible electroporation for the focal ablation of prostate is a new treatment technique and has seen use at just select centers in the world (Valerio et al. 2014). The ability to perform non-thermal treatment with IRE makes it a valuable clinical alternative to existing thermal ablation techniques such as HIFU or cryotherapy. However, there exist considerable knowledge gaps on the typical imaging findings, and treatment outcomes following IRE of prostate, and this has restricted wider use of this technique. Currently, it is not possible to directly measure the electric field strength generated in the targeted tissue during IRE. Therefore unlike HIFU, where MR imaging can be employed to monitor temperatures and subsequently estimate the effective treatment zone, there is no simple way to predict the expected ablation zone following IRE. Therefore treatment planning may be crucial for guiding the safe delivery of IRE in patients. Our results demonstrate the feasibility of using numerical simulations constructed with pre-operative MR images and intra-operative US to estimate the treatment zone, which was comparable to what was observed on follow-up MR imaging. In the future, such simulations could potentially be used to plan and guide IRE treatment in patients in a prospective fashion.
As a focal ablation technique, post-treatment imaging findings are crucial to understand tissue ablation with IRE, and also to prognosticate treatment outcomes. MRI findings have been previously reported for the acute effects and short-term injury evolution following IRE in different animal models, including work by Zhang et al. (2014) in rats with hepatoma, and Wendler et al. (2013) in normal swine kidney. There is limited published information on the typical imaging findings following IRE in the prostate and while not the primary focus of this work, we report our imaging findings. Consistent to prior reports from animal models studies, MR imaging following IRE presents as a heterogenous region with both hyper and hypointense regions on T1 and T2w imaging. The ablation zone was best visualized using contrast enhanced T1w imaging, appearing as a region of non-enhancement when compared to untreated gland. Also, imaging findings observed by us on US following IRE were similar to previously reported findings after IRE in solid organs (Schmidt et al. 2012). However, further study is warranted before these findings can be translated into clinical meaningful results.
The ablation boundary estimated at the threshold field strength of 700 V/cm in simulations correlated well with the post-operative MR images from our patients. Prior reports from in vivo studies performed on healthy dog prostate suggest irreversible damage to cells in regions that experienced electric field strength of 600 V/cm or higher (Onik et al. 2007). A study performed by Qin et al. (2013) using a LNCaP tumor model suggests that the critical field strength required for achieving irreversible contingent can range from 600 to 1300 V/cm, and will vary based on the number of pulses applied and the pulse duration. Our results are in agreement with these prior studies. However, a study performed by Neal et al. (2014) with simulation-pathology correlation of human prostates resected 3–4 weeks following IRE ablation reported a higher threshold for IRE induced cell death (1072 V/cm). While this study used volumetric modeling of the ablation zone and a different simulation technique, the study results are restricted by the small dataset (two patients) used for their simulations. Since we did not have pathology following ablation from the patients enrolled in this study, 700 V/cm as the critical threshold is drawn purely in correlation to MR imaging information. A larger study may be required before the differences between imaging and pathology measurements can be clarified, and until such time our findings should only be taken in context of post-IRE MR imaging of the prostate.
Confirming findings from the large animal study reported by Ben-David et al. (2013), the in vivo distribution of the ablative electric field that induces IRE in the tissue was found susceptible to regional heterogeneities in electrical conductivity. During IRE treatment all ablation probes to be used for the treatment are inserted together in a pre-determined configuration along the long axis of urethra, and subsequently treatment is delivered between select pairs of ablations probes. Simulation electric field maps suggest that the electric field may get drawn towards the exposed tips of the unused probes (Fig. 4).
Our retrospective patient-specific simulations suggested lack of injury to the neurovascular bundle and rectum in our patient cohort, and these findings were reflected in the patient reported outcomes. Our simulation results suggested that IRE mediated tissue destruction was largely restricted to the prostate. Despite being in proximity to the ablation zone, simulation indicated the sparing of the rectum, neurovascular bundle and the urethra. In agreement with simulation findings, no impotency or incontinence has been reported during a mean follow up time of 8 months following treatment.
Our study has a few limitations, primarily the exploratory nature of the work and the small number of patients enrolled in this study. These factors may limit the generalization of our findings. The simulation was performed using data segmented from intra-operative US images, which has less information than the pre-operative MR images. Complex and heterogeneous structures such as the neurovascular bundle were represented in the model as simpler lumped structures with homogenous electrical properties which reduce precision of the simulation model. Our simulation was not truly volumetric and was restricted to a single thick slice of tissue and therefore may not estimate the behavior of the entire ablation volume. Our results are pertinent for comparison of simulation findings with post-treatment imaging, and the absence of pathology data limits drawing definitive conclusions on the status of the treated tissue. Post-ablation tissue is constantly evolving, undergoing edema and tissue expansion in the early phase followed by fibrosis and tissue shrinkage at later periods. These dynamic changes may explain some of the inter-patient differences in simulation versus MRI measurements we observed. Finally, gadolinium-enhanced MRI by itself is not a validated technique for measuring the effectiveness of IRE in the prostate; therefore, we are unable to arrive at any conclusion on the value of simulations for estimating true treatment outcomes.
In summary, our results suggest that simulation of IRE ablation matches treatment zones seen on MRI, and therefore may help in treatment planning of ultrasound-guided IRE in the prostate. While we provide evidence that simulations can be used to estimate the size and shape of the expected IRE ablation in patient prostate with good correlation to MR imaging, further comparison with pathology are required before using simulations to predict treatment efficacy.
It is feasible to use mathematical modeling and simulation to estimate the effects of irreversible electroporation in patient prostate. Simulations estimated size and shape of treatment zone correlates with ablation defect seen on MR imaging following IRE of the prostate. Isoelectric contour at 700 V/cm on simulation can be used to determine expected treatment effect as seen on post-treatment MR imaging.
GS: Protocol/project development, Data Analysis, Manuscript Writing. FC: Data Collection, Data Analysis, Manuscript Writing. JM: Data Collection. HT: Data Analysis. JCD: Manuscript Writing. SBS: Protocol/project development. JAC: Protocol/project development, Manuscript Writing. All authors read and approved the final manuscript.
F.C. would like to acknowledge support from CHU de Bordeaux, Université de Bordeaux, Canceropôle du Grand Sud-Ouest, Association de la Recherche contre le Cancer, Société Française de Radiologie, Société d’Imagerie Génito-Urinaire, Philippe Foundation and the Fulbright Scholarship Program. G.S. and S.B.S. would like to acknowledge support from NIH NIBIB from the NIH Grant R21 CA159559-01A1. This research was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748. G.S. and J.A.C. acknowledge the support of the Thomson Family Foundation for portions of the work.
The authors declare that they have no competing interests.
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