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2019年版卵巢附件影像报告和数据系统(O-RADS)超声:对经病理证实的附件肿块进行前瞻性验证并与更新版本(2022版)进行比较

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.

作者信息

Almalki Yassir Edrees, Basha Mohammad Abd Alkhalik, Nada Mohamad Gamal, Metwally Maha Ibrahim, Libda Yasmin Ibrahim, Ebaid Noha Yahia, Zaitoun Mohamed M A, Mahmoud Nader E M, Elsheikh Amgad M, Radwan Mohamed Hesham Saleh Saleh, Amin Mohamed I, Mohamed Elshaimaa Mohamed, Tantawy Engy Fathy, Saber Sameh, Mosallam Walid, Abdalla Housseini Mohamed, Farag Mohamed Abd El-Aziz Mohamed, Dawoud Tamer Mahmoud, Khater Hamada M, Eldib Diaa Bakry, Altohamy Jehan Ibrahim, Abouelkheir Rasha Taha, El Gendy Waseem M, Alduraibi Sharifa Khalid, Alshahrani Majed Saeed, Ibrahim Safaa A, Radwan Ahmed M, Obaya Ahmed Ali, Basha Ahmed M Abdelkhalik, El-Maghraby Ahmed Mohamed

机构信息

Division of Radiology, Department of Medicine, Medical College, Najran University, Najran, Kingdom of Saudi Arabia.

Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.

出版信息

Eur Radiol. 2025 Jun;35(6):3080-3095. doi: 10.1007/s00330-024-11235-z. Epub 2024 Nov 28.

Abstract

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.

KEY POINTS

Question Accurate classification of adnexal masses is essential for management. Can updated O-RADS ultrasound v2022 improve diagnostic accuracy and reliability compared to v2019 in predicting malignancies? Findings O-RADS ultrasound v2022 demonstrated slightly higher diagnostic accuracy for identifying malignant adnexal masses compared to v2019, reflecting modest improvements in risk stratification and clinical decision-making. Clinical relevance The updated O-RADS ultrasound v2022 provides improved risk stratification for adnexal masses, enhancing diagnostic confidence, supporting more precise clinical decision-making, and improving patient outcomes through timely intervention or tailored management strategies in ovarian cancer care.

摘要

目的

评估卵巢附件报告和数据系统(O-RADS)超声v2019在附件包块(AM)分类中的诊断准确性和可靠性,并比较旧版和更新版系统(v2022)。

患者与方法

本前瞻性研究纳入了2022年1月至2023年12月期间来自三家机构的977例连续疑似患有AM的女性。由三名经验丰富的放射科医生进行超声检查,他们根据O-RADS超声v2019对AM进行分类。同一名放射科医生回顾性地审查存储的超声图像,并提供O-RADS超声v2022分类。以组织病理学作为参考标准,计算O-RADS各版本在预测恶性AM方面的诊断准确性。使用Fleiss κ检验评估O-RADS评分结果的观察者间一致性(IOA)。

结果

最终分析纳入了803例女性的855个AM(219个(25.6%)为恶性,636个(74.4%)为良性)。两个O-RADS版本均显示出良好的诊断准确性,曲线下面积(AUC)值在0.906至0.923(v2019)和0.919至0.936(v2022)之间。与v2019相比,更新后的v2022显示出略高的准确性(82.5 - 86.7%对80.7 - 85.3%)、敏感性(93.6 - 95.0%对92.2 - 94.1%)和特异性(78.1 - 84. I%对76.1 - 82.9%)。两个版本的O-RADS总体分类的IOA均为完美(κ = 0.96 - 0.97)。

结论

O-RADS超声分类系统在预测恶性AM方面显示出良好的诊断准确性和可靠性,更新后的v2022有适度改进。

关键点

问题附件包块的准确分类对管理至关重要。与v2019相比,更新后的O-RADS超声v2022在预测恶性肿瘤方面能否提高诊断准确性和可靠性?发现与v2019相比,O-RADS超声v2022在识别恶性附件包块方面显示出略高的诊断准确性,反映出在风险分层和临床决策方面有适度改进。临床意义更新后的O-RADS超声v2022为附件包块提供了改进后的风险分层,增强了诊断信心,支持更精确的临床决策,并通过在卵巢癌护理中及时干预或量身定制管理策略改善患者预后。

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