Bibliographic record
Abstract
Introduction: Treatment of radio-recurrent prostate cancer (RRPC) poses a unique challenge.Energy based salvage treatment options such as High intensity focused ultrasound (HIFU) and Cryotherapy (CRYO) can ablate the prostate with minimal side effects.We report our experience comparing the morbidity of both salvage treatment modalities over a 17 years period.Methods: 283 patients from 1995 to 2014 underwent either salvage CRYO (n=187, from1995 to 2004) or salvage HIFU (n=96, from 2004 to 2014).In 2004, we transitioned from CRYO to HIFU as the salvage ablative technique.Patients were divided into 3 groups, only patients having at least one year follow-up.Complications reported after 90 days of treatment were compared.Group I had the first 65 patients treated with CRYO between 1995 and 1998, Group II was composed of the last 65 patients treated with CRYO from 2002 to 2004 and Group III contained 65 patients who underwent HIFU from 2004 to 2012.This group-wise comparison was designed to elucidate the impact of the learning curve and technologic transit without inter-operator and inter-institutional variability.Results: The mean pre-salvage Prostate Specific Antigen level in Group I was higher (p=<0.001,one way ANOVA test).Details of other complications are summarized in the Table .HIFU was associated with either equivalent or lower complication rates across all categories compared to CRYO.Overall Improvement in complication rates was seen between our early experience with CRYO and our late experience (88 vs. 56), although statistical significance was not reached (p=0.469).The global improvement in complication rates with after more experience in CRYO use likely signified a learning curve with this procedure.No difference in recto-urethral fistula was seen amongst the three groups with rates of 1.5% -3% (p=0.817(Table 1).Conclusion: HIFU is promising in the management of radio recurrent prostate cancer.It is associated with a low rate of fistula formation and significantly lower rates of incontinence and retention as compared to CRYO.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.475 | 0.240 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".