Bibliographic record
Abstract
Introduction Benign prostatic hyperplasia (BPH) is one of the most common diseases affecting men and can present with bothersome lower urinary tract symptoms (LUTS). Historically, transurethral resection of the prostate (TURP) has been considered the gold standard in the treatment of LUTS due to BPH. However, TURP and other traditional options for the surgical management of LUTS secondary to BPH are associated with high rates of sexual dysfunction. In the past decade, several novel technologies, including Aquablation therapy, convective water vapor therapy (Rezum), and transperineal prostate laser ablation (TPLA), have demonstrated promising evidence to be safe and effective while preserving sexual function. Methods In this review, we discuss three ablative minimally invasive surgeries: Aquablation, Rezum, and TPLA. We review their techniques, safety, as well as perioperative and functional outcomes. We go into further detail regarding sexual function after these ablative minimally invasive surgical therapies. Results Aquablation is a surgeon-guided, robot-executed, heat-free ablative waterjet procedure with sustained functional outcomes at 5 years while having no effect on sexual activity. Rezum is an innovative office-based, minimally invasive surgical option for BPH that delivers convective water vapor energy into prostate adenoma to ablate obstructing tissue. Rezum leads to significant improvements in Qmax, IPSS while preserving sexual function. TPLA is another office-based technology which uses a diode laser source to produce thermoablation. It leads to improvement in Qmax, IPSS, and QoL while preserving ejaculatory function. Conclusions Overall, ablative minimally invasive surgical therapies have demonstrated excellent safety and efficacy profiles while preserving sexual function. These modalities should be discussed with patients to ensure informed and shared decision-making. Ablative minimally invasive surgical therapies may be particularly interesting to patients who value the preservation of their sexual function.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.320 | 0.106 |
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".