Navigating Focal Therapy for Prostate Cancer: Contemporary Perspectives and Future Trajectories in the Canadian Context
Bibliographic record
Abstract
Objective:This article equips Canadian urologists with the latest advancements in focal therapy (FT) principles and outcomes while providing an overview of its current landscape in Canada, including challenges and future directions. Methods:We conducted a nonsystematic review of the literature on FT in urology and prostate cancer (PCa), focusing on Canadian-led studies. Articles were identified using PubMed, MEDLINE, and Google Scholar and selected based on relevance and originality. The final search was completed in April 2024. A survey was also conducted among Canadian urologists and radiologists practicing FT. It covered their experiences, access to technology, implementation challenges, and reimbursement policies. Data were collected via video calls, phone calls, or email, and responses were reported anonymously. Results:Fourteen Canadian urologists and radiologists performing FT were contacted, and 12 participated in this study. Despite the increasing adoption of FT by Canadian urologists, nationwide implementation remains limited due to financial constraints and resource shortages. This has restricted the availability of FT for Canadian men with PCa compared with their American and European counterparts. Only two provinces—Saskatchewan and Alberta—currently have billing codes for FT, forcing patients elsewhere to either join clinical trials or pay out of pocket. To close this care gap, equitable health care coverage and integration of FT into standard treatment options are essential. Conclusion:The quality of research in FT is showing promising improvements, with several clinical trials currently underway that may pave the way for broader acceptance within clinical guidelines by multiple urological societies. Although Canada has been slower to adopt FT compared with other parts of the world, Canadian urologists continue to advocate for provincial health care coverage to ensure that this innovative technology becomes accessible to Canadian patients.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".