Accuracy of sonography for non‐invasive detection of ovarian and deep endometriosis using #Enzian classification: prospective multicenter diagnostic accuracy study
Bibliographic record
Abstract
ABSTRACT Objective To compare the preoperative detection of endometriosis using transvaginal sonography (TVS) supplemented by transabdominal sonography (TAS) with surgical assessment of disease, using the #Enzian classification for endometriosis. Methods This was a prospective multicenter diagnostic accuracy study of women undergoing TVS/TAS and radical surgery for deep endometriosis (DE) at different tertiary referral centers. The localization and grade of severity of the endometriotic lesions and adhesions were described according to the criteria of the #Enzian classification, both at preoperative ultrasound examination and during surgery. According to the #Enzian classification, the small pelvis is divided into three compartments for DE: A (rectovaginal septum and vagina); B (uterosacral and cardinal ligaments, parametrium and pelvic sidewalls); and C (rectum). In addition, further locations (F) are classified as adenomyosis (FA), urinary bladder involvement (FB) and ureteric involvement with signs of obstruction (FU). Other intestinal locations (FI) and other extragenital locations (FO) are also included. Ovarian endometriosis and adhesions at the level of the tubo‐ovarian unit are listed as O and T, respectively. The #Enzian grade of severity (Grade 1–3) was determined for #Enzian compartments O, T, A, B and C based on the size of the lesion or the severity of the adhesions. Concordance between preoperative assessment using TVS/TAS and evaluation at surgery was assessed. The sensitivity, specificity, positive and negative predictive values and accuracy of TVS/TAS in the detection of endometriotic lesions/adhesions in the different #Enzian compartments were calculated. Results In total, 745 women were included in the analysis. Preoperative TVS/TAS and surgical findings showed a concordance rate ranging between 86% and 99% for the presence or absence of endometriotic lesions/adhesions, depending on the evaluated #Enzian compartment. The concordance rate between TVS and surgery ranged between 71% and 92% for different severity grades, in #Enzian compartments O, T, A, B and C. Determining the presence or absence of adhesions at the level of the tubo‐ovarian unit and classifying them accurately as Grade 1, 2 or 3 on TVS was more difficult than determining the presence and severity of endometriotic lesions in #Enzian compartments O, A, B and C. The sensitivity of TVS/TAS for the detection of endometriotic lesions ranged from 50% (#Enzian compartment FI) to 95% (#Enzian compartment A), specificity from 86% (#Enzian compartment T left ) to 99% (#Enzian compartment FI) and 100% (#Enzian compartments FB, FU and FO), positive predictive value from 90% (#Enzian compartment T right ) to 100% (#Enzian compartment FO), negative predictive value from 74% (#Enzian compartment B left ) to 99% (#Enzian compartments FB and FU) and accuracy from 88% (#Enzian compartment B right ) to 99% (#Enzian compartment FB). Conclusions The localization and severity of endometriotic lesions/adhesions, as described and classified according to the #Enzian classification, can be diagnosed accurately and non‐invasively using TVS/TAS. The #Enzian classification provides a uniform classification system for describing endometriotic lesions, which can be used both at TVS/TAS and during surgical evaluation. © 2021 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 | 0.484 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".