التفاصيل البيبلوغرافية
| العنوان: |
Application of the #Enzian classification for endometriosis on MRI: prospective evaluation of inter- and intraobserver agreement |
| المؤلفون: |
Sebastian Harth, Hasan Emin Kaya, Felix Zeppernick, Ivo Meinhold-Heerlein, Jörg Keckstein, Selcuk Murat Yildiz, Emina Nurkan, Gabriele Anja Krombach, Fritz Christian Roller |
| المصدر: |
Frontiers in Medicine, Vol 10 (2023) |
| بيانات النشر: |
Frontiers Media S.A., 2023. |
| سنة النشر: |
2023 |
| المجموعة: |
LCC:Medicine (General) |
| مصطلحات موضوعية: |
pelvis, deep infiltrating endometriosis, endometrioma, magnetic resonance imaging, interobserver variability, Medicine (General), R5-920 |
| الوصف: |
ObjectivesThe purpose of this investigation was to evaluate the inter- and intraobserver variability of the updated #Enzian classification of endometriosis on MRI and to evaluate the influence of reader experience on interobserver concordance.MethodsThis was a prospective single-center study. All patients were included who received an MRI of the pelvis for evaluation of endometriosis between March and July 2023 and who have provided written informed consent. Images were reviewed independently for endometriosis by three radiologists, utilizing the MRI-applicable categories of the #Enzian classification. Two radiologists had experience in pelvic MRI and endometriosis imaging. One radiologist had no specific experience in pelvic MRI and received a one-hour briefing beforehand.ResultsFifty consecutive patients (mean age, 34.9 years ±8.6 [standard deviation]) were prospectively evaluated. Interobserver agreement was excellent for diagnosis of deep infiltrating endometriosis (Fleiss’ kappa: 0.89; 95% CI 0.73–1.00; p |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2296-858X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fmed.2023.1303593/full; https://doaj.org/toc/2296-858X |
| DOI: |
10.3389/fmed.2023.1303593 |
| URL الوصول: |
https://doaj.org/article/60f5e06fec2d4c9896f7d03417e31af1 |
| رقم الانضمام: |
edsdoj.60f5e06fec2d4c9896f7d03417e31af1 |
| قاعدة البيانات: |
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