Wang Huimin, Wang Limin, An Siwei, Ma Qiuping, Tu Yanping, Shang Ning, Pan Yunxiang
Department of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China.
Front Pediatr. 2023 Mar 8;11:1091735. doi: 10.3389/fped.2023.1091735. eCollection 2023.
To evaluate the diagnostic performance and inter-observer agreement of the American College of Radiology Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS) in the diagnosis of ovarian masses in children.
From June 2012 to December 2021, 163 ovarian masses in 159 patients with pathologic results were retrospectively analyzed. Each mass was classified into an O-RADS category according to the criteria. The diagnostic performance of O-RADS for detecting malignant ovarian masses was assessed using histopathology as the reference standard. Kappa () statistic was used to assess inter-observer agreement between a less-experienced and a well-experienced radiologist.
Out of 163 ovarian masses, 18 (11.0%) were malignant and 145 (89.0%) were benign. The malignancy rates of O-RADS 5, O-RADS 4, and O-RADS 3 masses were 72.7%, 34.6%, and 4.8%, respectively. The area under the receiver operating characteristic curve was 0.944 (95% CI, 0.908-0.981). The optimal cutoff value for predicting malignant ovarian masses was > O-RADS 3 with a sensitivity, specificity, and accuracy of 94.4%, 86.2% and 86.2% respectively. The inter-observer agreement of the O-RADS category was good (= 0.777).
O-RADS has a high diagnostic performance for children with ovarian masses. It provides an effective malignant risk classification for ovarian masses in children, which shows high consistency between radiologists with different levels of experience.
评估美国放射学会卵巢附件报告和数据系统超声(O-RADS)在儿童卵巢肿块诊断中的诊断性能及观察者间的一致性。
回顾性分析2012年6月至2021年12月期间159例有病理结果患者的163个卵巢肿块。根据标准将每个肿块分类为O-RADS类别。以组织病理学为参考标准评估O-RADS检测恶性卵巢肿块的诊断性能。使用Kappa(κ)统计量评估经验较少和经验丰富的放射科医生之间的观察者间一致性。
163个卵巢肿块中,18个(11.0%)为恶性,145个(89.0%)为良性。O-RADS 5类、O-RADS 4类和O-RADS 3类肿块的恶性率分别为72.7%、34.6%和4.8%。受试者工作特征曲线下面积为0.944(95%CI,0.908 - 0.981)。预测恶性卵巢肿块的最佳截断值为>O-RADS 3,敏感性、特异性和准确性分别为94.4%、86.2%和86.2%。O-RADS类别的观察者间一致性良好(κ = 0.777)。
O-RADS对儿童卵巢肿块具有较高的诊断性能。它为儿童卵巢肿块提供了有效的恶性风险分类,在不同经验水平的放射科医生之间显示出高度一致性。