Irreversible electroporation in focal therapy for prostate cancer: current status and future directions
Bibliographic record
Abstract
The treatment of prostate cancer (PCa) requires approaches that eliminate malignant tissue while preserving essential urinary and sexual functions. Irreversible electroporation (IRE) represents a targeted ablative strategy that disrupts cellular membrane integrity through precise electrical pulses, demonstrating the capacity to ablate cancerous foci while sparing adjacent neurovascular bundles and sphincter mechanisms. This structured review examines the mechanistic foundations of IRE technology, evaluates current clinical evidence regarding safety and efficacy, and explores promising applications that may redefine precision urologic care. Existing clinical studies demonstrate encouraging oncological control rates with superior preservation of continence and erectile function compared to whole-gland treatments, though patient selection criteria and long-term durability remain areas requiring further investigation. Emerging applications include salvage therapy following radiation failure, integration with advanced multiparametric imaging for precision targeting, and combination strategies with systemic therapies. The regulatory approval status and economic implications of IRE implementation vary significantly across healthcare systems, creating disparities in patient access and adoption of this technology that must be addressed to ensure equitable availability of focal ablation options. As the technology matures, establishing standardized treatment protocols, refining patient selection algorithms, and conducting robust comparative effectiveness studies will be essential to define the optimal role of IRE within prostate cancer management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".