Translabial Ultrasound for Assessment of Synthetic Midurethral Sling Complications
Bibliographic record
Abstract
ABSTRACT: Translabial ultrasound (TLUS) is an inexpensive, noninvasive imaging modality traditionally used for assessment of pelvic organ prolapse. The utility of TLUS has recently been expanded to the evaluation of synthetic midurethral slings (MUS) surgically implanted for management of stress urinary incontinence. The purpose of this article is to familiarize radiologists with translabial ultrasound technique and provide a technical protocol for TLUS execution because it can be optimized for imaging and assessment of MUS, including identification of MUS configuration and recognition of common complications. This article provides example images of transobturator and retropubic slings and their associated complications, as visualized on TLUS. Accurate imaging and assessment of MUS is helpful in the evaluation of the patient presenting with symptoms suspicious for sling-related complications and in the planning of surgical revision.
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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 | 0.000 |
| 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".