Comparative analysis of MOSES<sup>TM</sup> technology versus novel thulium fiber laser (TFL) for transurethral enucleation of the prostate: A single-institutional study
Bibliographic record
Abstract
INTRODUCTION: Novel laser technologies have been developed for the minimally invasive surgical management of benign prostatic hyperplasia (BPH). The objective of this study was to assess the safety and efficacy of MOSESTM technology versus the thulium fiber laser (TFL) in patients with BPH undergoing transurethral enucleation of the prostate. METHODS: We conducted a retrospective review of prospectively collected data of eighty-two patients who underwent transurethral enucleation of the prostate using MOSESTM or TFL technologies from August 2020 to September 2021. Preoperative and intraoperative parameters, in addition to postoperative outcomes, were collected and analyzed. RESULTS: Twenty patients underwent transurethral enucleation of the prostate with TFL, while 62 had MOSESTM HoLEP. No statistically significant difference in preoperative characteristics was observed between the groups. Patients in the TFL group had longer median enucleation, hemostasis, and morcellation times (p < 0.001) than those in the MOSESTM cohort. The longer morcellation time of TFL is mostly related to less visibility. The postoperative outcomes IPSS, QoL, Qmax, and post void residual (PVR), were comparable between the groups at 1, 3 and 6 months. The incidence of urge urinary incontinence (p = 0.79), stress urinary incontinence (p = 0.97), and hospital readmission rates (p = 0.1) were comparable between the two groups. CONCLUSIONS: A satisfactory safety and efficacy profile with comparable postoperative outcomes was demonstrated for both techniques; though, MOSESTM technology was superior to TFL in terms of shorter overall operative time.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".