OBJECTIVE: To assess the diagnostic performance of preoperative application of the Enzian classification (cEnzian) using surgical findings as reference standard. DESIGN: A prospective international non-interventional study. SETTING: Twelve endometriosis centres in four European countries (Austria, Germany, Switzerland and Czech Republic). POPULATION: 1062 women with endometriosis surgery. METHODS: Extent of endometriosis was preoperatively classified using the cEnzian classification based on gynaecological examination and/or transvaginal ultrasound (TVS) and/or magnetic resonance imaging (MRI). After subsequent surgery, the surgeon classified the intraoperative findings using the Enzian classification. MAIN OUTCOME MEASURES: Sensitivity, specificity, PPV, NPV, LR+ , LR- and accuracy were calculated. Conditional frequencies of intraoperative Enzian codings and the corresponding 95% confidence intervals were computed for each preoperative coding and visualised in plots. RESULTS: Although overall consistency of cEnzian and Enzian was poor (35.14%, 95% confidence interval 32.26-38.03), high specificities and negative predictive values (NPVs) of the cEnzian compartments could be demonstrated. Looking at the individual parts of the Enzian classification, the poorest diagnostic performance was detected for compartment B and the highest PPVs were found for category 3 lesions (>3 cm), independent of the compartment. CONCLUSIONS: Using the Enzian classification in a non-invasive setting is a useful tool providing us with an 'at a glance' summary of the diagnostic workup regarding deep endometriosis with high specificities and NPVs. An attempt to merge the two new endometriosis classification systems (#Enzian and AAGL 2021) seems reasonable taking into consideration the respective advantages of each other.

• Klíčová slova
• Enzian, classification, endometriosis,
• MeSH
• endometrióza * diagnostické zobrazování   chirurgie   MeSH
• lidé MeSH
• magnetická rezonanční tomografie MeSH
• prospektivní studie MeSH
• senzitivita a specificita MeSH
• ultrasonografie MeSH
• Check Tag
• lidé MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• Geografické názvy
• Rakousko MeSH

PURPOSE: We aimed to compare the learning curves of an ultrasound trainee (obstetrics and gynecology resident) and a radiology trainee when assessing pelvic endometriosis. METHODS: Consecutive patients with suspected endometriosis were prospectively enrolled in a tertiary center. They underwent an ultrasound and magnetic resonance imaging preoperatively, which was reported according to the International Deep Endometriosis Analysis (IDEA) group consensus. Trainees reported on deep endometriosis (DE), endometriomas, frozen pelvis, and adenomyosis. Using the Kappa agreement, their findings were compared against laparoscopy/histology and expert findings. The learning curve was considered positive when performance improved over time and indeterminate in all other cases. RESULTS: Reports from thirty-five women were divided chronologically into 3 equal blocks to assess the learning curve. For ultrasound, trainee versus expert showed a positive learning curve in overall pelvic DE assessment. There was an excellent agreement for adenomyosis (Kappa = 1.00, p = 0.09), frozen pelvis (Kappa = 0.90, p = 0.01), bowel (Kappa = 1.00, p = 0.01), and bladder DE assessment (Kappa = 1.00, p = 0.01). Endometrioma and uterosacral ligament assessment showed an indeterminate curve. For radiology, trainee versus expert showed a positive curve when detecting adenomyosis (Kappa = 0.42, p = 0.09) and bladder DE (Kappa = 1.00, p = 0.01). The assessment of endometriomas, frozen pelvis, overall pelvic DE, bowel, and uterosacral ligament DE showed indeterminate curve. Agreement between trainees and laparoscopy/histology showed a positive curve for bladder (both) and frozen pelvis (ultrasound only). CONCLUSION: A positive learning curve can be seen in some areas of pelvic endometriosis mapping after as little as 35 cases, but a bigger caseload is required to demonstrate the curve in full. The ultrasound trainee had positive learning curves in more anatomical locations (bladder, adenomyosis, overall bowel DE, frozen pelvis) than the radiology trainee (bladder, adenomyosis), which could be down to individual factors, differences in training, or the imaging method itself.

• MeSH
• dospělí MeSH
• endometrióza diagnostické zobrazování   MeSH
• křivka učení * MeSH
• lidé středního věku MeSH
• lidé MeSH
• magnetická rezonanční tomografie * MeSH
• mladiství MeSH
• mladý dospělý MeSH
• pánev diagnostické zobrazování   MeSH
• ultrasonografie * MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH