ضياء بكرى فؤاد محمد عبدالرحمن الديب
أستاذ مساعد
Ovarian-Adnexal Imaging-Reporting and Data System (O-RADS) ultrasound version 2019: a prospective validation and comparison to updated version (v2022) in pathologically confirmed adnexal masses
European Radiology • 2024
معلومات البحث
المؤلفون
Yassir Edrees Almalki, Diaa Bakry Eldib, et al
الكلمات المفتاحية
Not Available
المجلة العلمية
European Radiology
الناشر
Springer
المجلد
Not Available
العدد
Not Available
الصفحات
1-16
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
Objective
To evaluate the diagnostic accuracy and reliability of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound v2019 in classifying adnexal masses (AMs) and compare the old and updated systems (v2022).
Patients and methods
This prospective study enrolled 977 consecutive women with suspected AMs from three institutions between January 2022 and December 2023. Ultrasound examinations were performed by three experienced radiologists who categorized AMs according to O-RADS ultrasound v2019. The same radiologists retrospectively reviewed the stored ultrasound images and provided the O-RADS ultrasound v2022 classification. Histopathology was used as the reference standard to calculate the diagnostic accuracy of the O-RADS versions in predicting malignant AMs. Inter-observer agreement (IOA) of the O-RADS scoring results was evaluated using the Fleiss kappa (κ) test.
Results
The final analysis included 803 women with 855 AMs (219 (25.6%) malignant and 636 (74.4%) benign). Both O-RADS versions demonstrated good diagnostic accuracy, with area under the curve (AUC) values ranging from 0.906 to 0.923 (v2019) and 0.919 to 0.936 (v2022). The updated v2022 showed a slightly higher accuracy (82.5–86.7% vs. 80.7–85.3%), sensitivity (93.6–95.0% vs. 92.2–94.1%), and specificity (78.1–84.1% vs. 76.1–82.9%) compared to v2019. The IOA for the overall O-RADS classification was perfect for both versions (κ = 0.96–0.97).
Conclusions
The O-RADS ultrasound classification system demonstrated good diagnostic accuracy and reliability in predicting malignant AMs, with the updated v2022 showing modest improvements.
To evaluate the diagnostic accuracy and reliability of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound v2019 in classifying adnexal masses (AMs) and compare the old and updated systems (v2022).
Patients and methods
This prospective study enrolled 977 consecutive women with suspected AMs from three institutions between January 2022 and December 2023. Ultrasound examinations were performed by three experienced radiologists who categorized AMs according to O-RADS ultrasound v2019. The same radiologists retrospectively reviewed the stored ultrasound images and provided the O-RADS ultrasound v2022 classification. Histopathology was used as the reference standard to calculate the diagnostic accuracy of the O-RADS versions in predicting malignant AMs. Inter-observer agreement (IOA) of the O-RADS scoring results was evaluated using the Fleiss kappa (κ) test.
Results
The final analysis included 803 women with 855 AMs (219 (25.6%) malignant and 636 (74.4%) benign). Both O-RADS versions demonstrated good diagnostic accuracy, with area under the curve (AUC) values ranging from 0.906 to 0.923 (v2019) and 0.919 to 0.936 (v2022). The updated v2022 showed a slightly higher accuracy (82.5–86.7% vs. 80.7–85.3%), sensitivity (93.6–95.0% vs. 92.2–94.1%), and specificity (78.1–84.1% vs. 76.1–82.9%) compared to v2019. The IOA for the overall O-RADS classification was perfect for both versions (κ = 0.96–0.97).
Conclusions
The O-RADS ultrasound classification system demonstrated good diagnostic accuracy and reliability in predicting malignant AMs, with the updated v2022 showing modest improvements.
