OP07.01: New sonographic classification of adenomyosis: do type and degree of adenomyosis correlate to severity of symptoms?
Bibliographic record
Abstract
To correlate type and degree of adenomyosis, scored through a new system based on transvaginal sonographic (TVS) features, to patient's symptoms and fertility. This is a multicentre, prospective study performed in two Endometriosis tertiary referral centre (Canadian Task Force II-2) including 108 patients with ultrasound diagnosis of adenomyosis and 40 controls without any sonographic signs of myometrial pathologies. A new ultrasonographic scoring system designed to assess the severity and the extension of uterine adenomyosis was used to stage the disease in correlation with clinical symptoms. Menstrual uterine bleeding was assessed by a pictorial blood loss analysis chart (PBAC), painful symptoms were evaluated using a visual analogue scale (VAS) and infertility factors were considered. 108 patients with adenomyosis (mean age 37.7±7.7 yrs) were classified according to the proposed scoring system. The 22 patients with a score of focal-mild adenomyosis were younger compared to the patients with severe disease and showed a higher percentage (75.86%) of severe dysmenorrhea (VAS>5) and infertility (24.13%). The 20 patients with severe-diffuse adenomyosis, according to the score, showed in 95.24% of cases heavy menstrual bleeding (PBAC>100) and in 80.95% severe dysmenorrhea. All the 21 patients with adenomyomas had a PBAC>100. The evaluation of the extension of adenomyosis in the myometrium and in the JZ seems important in correlation to the severity of symptoms and infertility, as well as for an emerging request of surgical treatment. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".