A Prospective Multicenter Registry of Patients Undergoing Hysteroscopic Morcellation of Uterine Polyps and Myomas
Bibliographic record
Abstract
Abstract Background: Hysteroscopic morcellation removes uterine pathology under direct visualization with continuous real-time tissue fragment removal. Objective: The aim of this study was to explore the feasibility of hysteroscopic morcellation across a diverse set of facilities, including both surgical and office-based settings. Design: This was a prospective, single-arm, multicenter registry development (Canadian Task Force classification II-3). Materials and Methods: Thirty-four U.S. obstetrics and gynecology facilities enrolled subjects into the registry. Inclusion criteria were women ages 18–65 with indications for hysteroscopic myomectomy and/or polypectomy who were treated with the MyoSure® Hysteroscopic Tissue Removal System (Hologic Inc., Marlborough, MA). Intrauterine lesion type/size and removal parameters, adverse events (AEs), and physician satisfaction ratings were recorded. Results: A total of 559 pathologies (187 fibroids; 372 polyps) were removed from 278 registered subjects (mean age: 43.9 ± 9.0 years), with 250 procedures (89.9%) performed in an ambulatory surgery center or hospital outpatient setting and 28 (10.1%) in a gynecologic office setting. Most patients ( n = 206, 74.1%) were treated for abnormal uterine bleeding, and 42 (15.1%) were treated for infertility. Mean fibroid diameter was 2.2 ± 1.2 cm. Mean polyp diameter was 1.3 ± 1.0 cm. Overall mean percentage of pathology removed was 95.4% (polyps 99.3%, fibroids 86.8%). Five AEs included four incidents of blunt cervical trauma and a single postoperative case of pedal edema; all were considered mild and resolved spontaneously. Postprocedure surveys indicated that 95% of reporting physicians were “satisfied” or “highly satisfied” with device performance. Conclusions: Hysteroscopic morcellation of intrauterine pathology was accomplished safely with a high degree of physician satisfaction in 278 patients treated in diverse healthcare settings that are reflective of general community practice in the United States. (J GYNECOL SURG 32:318)
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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 | 0.000 | 0.001 |
| 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) | 0.000 | 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".