171 Salvage of Post-Radical Prostatectomy Intracavernous Injection and ICI with Venoseal Failures with a Novel Soft Silocone Loop Occlusion Device Combined with ICI
Bibliographic record
Abstract
Functional denervation following radical prostatectomy (RP) often results in downstream cavernous smooth muscle atrophy and subsequent erectile dysfunction (ED) with characteristics of cavernous veno-occlusive disease (CVOD). In the absence of nerve signaling, but maintained arterial inflow and trapping mechanism, ED may be treated with self-injection therapy (ICI). Failing ICI or vacuum erection device treatment limits options to surgery (penile prosthesis - PP). We investigate a novel soft silicone loop occlusive device (SSLO) which is FDA and Health Canada compliant, for salvage of ICI-venoseal (VS) failures. Fourteen men at least 18 months post-RP comprised the study group, having failed ICI and ICI-VS attaining maximum EHS scores of 1 or 2. In-office testing and teaching of ICI at 1 cc DS trimix (mean no. of visits 4), follow-up (FU) at 4 weeks and addition of the VS at this point to ICI with repeat in-office testing/teaching (again 1 cc DS trimix), and FU at 8 weeks of ICI-VS use was performed. No pts attained an EHS 3 or better in office or at home. Options for treatment were reviewed, including surgery, VED (failed for satisfactory function previously by 9), or an in-office test with ICI 1 cc DS trimix and the SSLO March or April 2016. The 14 pts choosing to trial ICI-SSLO at home underwent review through end June 2016.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".