EP24.12: Prevalence of adenomyosis and endometriosis on ultrasound among symptomatic patients stratified by referring physician
Bibliographic record
Abstract
To determine the prevalence rates of adenomyosis and endometriosis among symptomatic patients referred for ultrasounds according to referral sources: primary general practitioners, general gynecologists, and specialist gynecologists in minimally invasive surgery (MIGS). This is a retrospective cross-sectional study across a single community outpatient ultrasound centre. Each patient underwent a transvaginal ultrasound by a skilled gynecologist sonologist with systematic evaluation of the pelvis using the international Morphological Uterus Sonographic Assessment (MUSA) and International Deep Endometriosis Analysis (IDEA) standards for assessment of adenomyosis and endometriosis. A total of 151 patient underwent assessment, of which 32.9% and 66.2% were diagnosed with adenomyosis and endometriosis respectively. The prevalence of adenomyosis and overall endometriosis in those referred by general practitioners was 30.8% and 74.1%. In this group, 48.1% was diagnosed with superficial endometriosis, 30.0% with deep endometriosis, and 11.1% with ovarian endometriosis. Among patients referred by a general gynecologist, 40.4% had adenomyosis and 63.3% had endometriosis, of which superficial endometriosis was the most common at 38.8%. In those referred by a MIGS, 28.6% had findings of adenomyosis and 65.3% had endometriosis. Deep endometriosis was most prevalent among those referred by MIGS at 50.7%. Most symptomatic patients referred for endometriosis assessment were diagnosed with endometriosis with transvaginal ultrasound, irrespective of referring physician speciality. Among those referred by general practitioners and gynecologists, superficial endometriosis emerged as the predominate subtype diagnosed. This highlights the importance of non-invasive diagnostic methods while emphasising the role of general practitioners in guiding triage between referral to a general gynecologist or MIGS based on ultrasound findings.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".