Transperineal Laser Ablation Treatment for Lower Urinary Tract Symptoms Due to Benign Prostatic Obstruction: Protocol for a Prospective In Vivo Pilot Study
Bibliographic record
Abstract
BACKGROUND: Standard surgical treatments for lower urinary tract symptoms (LUTS) due to benign prostatic obstruction (BPO) use a transurethral approach. Drawbacks are the need for general or spinal anesthesia and complications such as hematuria, strictures, and cloth retention. Therefore, a minimal invasive technique under local anesthesia is desired to improve patient safety. Recently, SoracteLite transperineal laser ablation (TPLA) has been introduced as a novel minimal invasive treatment for BPO. The system used is unique because 4 laser sources are independently available. This 1064-nm diode laser induces coagulative necrosis. Moreover, TPLA is unique because it has a transperineal approach and can be performed under local anesthesia in an outpatient setting. OBJECTIVE: The primary objective of this study is to determine the safety and feasibility of TPLA treatment for men, who are fit for standard surgery, with LUTS due to BPO. The secondary objectives are to determine functional outcomes by flowmetry and patient-reported outcome measures (PROMs), side effects, and tissue changes observed on imaging. METHODS: This study is a prospective, single center, interventional pilot study IDEAL framework stage 2a and will include 20 patients. Eligible patients are men ≥40 years of age, with a prostate volume of 30 to 120 cc, have urodynamically proven bladder outlet obstruction, and have a peak urinary flow of 5 to 15 mL per second. All patients will undergo TPLA of their prostate under local anesthesia by using the EchoLaser system. Depending on the prostate volume, 2 to 4 laser fibers will be placed bilaterally into the prostate. Patient follow-up consists of uroflowmetry, PROMs, and imaging by using contrast-enhanced ultrasound. Total follow-up is 12 months following treatment. RESULTS: Presently, recruitment of patients is ongoing. Publication of first results is expected by early 2020. CONCLUSIONS: TPLA offers the potential to be a novel minimal invasive technique for treatment of LUTS due to BPO in men fit for standard desobstruction. This study will evaluate the safety and feasibility of TPLA and report on functional outcomes and tissue changes observed on imaging following TPLA treatment. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/15687.
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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 | 0.010 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".