Prediction of vesicouterine adhesions by transvaginal sonographic sliding sign technique: validation study
Bibliographic record
Abstract
OBJECTIVE: Adhesions between the uterus, bladder and anterior abdominal wall are associated with clinical sequelae, including chronic pelvic pain and dyspareunia, and can also yield complications during surgery. The transvaginal sonographic (TVS) sliding bladder sign is a minimally invasive diagnostic tool to evaluate the presence of vesicouterine adhesions. This study aimed to determine the predictive value and intra- and interobserver variation of the TVS sliding bladder sign in the assessment of vesicouterine adhesions. METHODS: This was a prospective observational double-blind diagnostic accuracy study conducted at the Amsterdam University Medical Center. Patients scheduled for gynecological laparoscopic surgery for a benign disorder between January 2020 and December 2022 were included consecutively. All patients underwent preoperative TVS, including a dynamic sliding bladder sign examination in our outpatient clinic. Videoclips of the TVS scans were stored for offline assessment and used as an index test. The recordings of both TVS and laparoscopy were evaluated for diagnostic characteristics of vesicouterine adhesions by independent assessors, who were blinded to the clinical situation in addition to the laparoscopic findings when assessing recordings of TVS and vice versa. The presence of adhesions on laparoscopy was used as the reference standard. The positive predictive value (PPV), negative predictive value (NPV), specificity and sensitivity of the sliding bladder sign were calculated. In addition, inter- and intraobserver variability of the sliding bladder sign on TVS were assessed. RESULTS: Of 116 included women, 57 had a negative sliding bladder sign on TVS, while on laparoscopy, 51 women had mild and 28 had severe vesicouterine adhesions. A negative sliding bladder sign had a PPV of 94.7% (95% CI, 88.9-100%) for the presence of any vesicouterine adhesions, and a positive sliding bladder sign had a specificity of 91.9% (95% CI, 83.1-100%). For severe adhesions, the negative sliding bladder sign had a sensitivity of 89.3% (95% CI, 77.8-100%) and a positive sliding bladder sign had a NPV of 94.9% (95% CI, 89.3-100%). When using Cohen's kappa coefficient, inter- and intraobserver agreement between assessors was good. CONCLUSIONS: Sliding bladder sign evaluation using TVS is a reliable diagnostic tool for the prediction of vesicouterine adhesions on laparoscopy. A negative sliding bladder sign indicates the presence of vesicouterine adhesions, while a positive sliding bladder sign makes the presence of severe adhesions unlikely. Establishing vesicouterine adhesions by TVS may optimize preoperative planning, and can be used for future studies to evaluate the relationship between symptomatology and vesicouterine adhesions and, subsequently, the effect of adhesion-prevention interventions. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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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 | 0.001 |
| 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".