Photoselective vaporization of the prostate using GreenLight 120-W lithium triborate laser to treat symptomatic benign prostatic hyperplasia: A single-centre prospective study
Bibliographic record
Abstract
OBJECTIVE: We evaluated the safety and efficacy of photoselective vaporization of the prostate (PVP) using GreenLight 120-W lithium triborate (LBO) laser to treat symptomatic small-to-medium sized benign prostatic hyperplasia (BPH). METHODS: This prospective non-controlled observational study included symptomatic BPH men ≥50 years with international prostate symptom score (IPSS) ≥14, prostate volume (PV) ≤80 cc and maximum flow rate (Q-max) ≤15 mL/s. PVP was performed using the GreenLight 120-W LBO laser machine. Patients were assessed at baseline and postoperatively at discharge, 2 weeks, and 3, 6 and 12 months. We measured changes in IPSS, PV, PSA, Q-max, post-void residual (PVR), hemoglobin (Hb), serum sodium (Na+) and reported complications. Statistical significance was p < 0.05. RESULTS: The study included 103 men with mean age of 67 (±standard deviation)±9.7 years. Thirty patients were on indwelling urethral catheters for refractory urinary retention and 12 on ongoing anticoagulants. The mean baseline IPSS, PV, PSA, Q-max and PVR parameters significantly improved at follow-up (p < 0.001; each). Mean measurements at baseline versus at six months were: IPSS 25.6 ± 4.2 vs. 7.4±2.3; PV 44.6 ± 9.2 vs. 21.6 ± 6.3 cc (51.6% reduction); Q-max 5.8 ± 3.4 vs. 20.4 ± 4.8 mL/s; PVR 110 ± 40 vs. 35 ± 9 cc. Mean baseline Hb and serum Na+ declined non-significantly (p > 0.05) at discharge and at 2 weeks. No patient needed a blood transfusion. Secondary procedures were needed in 2 patients for urethral and bladder neck strictures. The re-treatment rate for residual adenoma was 0.97%. CONCLUSION: PVP using the GreenLight 120-W LBO laser to treat small-to-medium sized symptomatic BPH demonstrated significant improvements in efficacy parameters and high safety profile within 12 months of follow-up. The procedure entails good hemostasis with minimal blood loss even in patients receiving ongoing anticoagulants.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".