Pan Rui-Ke, Zhang Shu-Qin, Zhang Xian-Ya, Xu Tong, Cui Xin-Wu, Li Ran, Yu Ming, Zhang Bo
Department of Medical Ultrasound, Shanghai East Hospital, Nanjing Medical University, Shanghai, China.
Department of Medical Ultrasound, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Front Oncol. 2024 Aug 30;14:1369900. doi: 10.3389/fonc.2024.1369900. eCollection 2024.
To develop a combined diagnostic model integrating the subclassification of the 2022 version of the American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) with carbohydrate antigen 125 (CA125) and to validate whether the combined model can offer superior diagnostic efficacy than O-RADS alone in assessing adnexal malignancy risk.
A retrospective analysis was performed on 593 patients with adnexal masses (AMs), and the pathological and clinical data were included. According to the large differences in malignancy risk indices for different image features in O-RADS category 4, the lesions were categorized into groups A and B. A new diagnostic criterion was developed. Lesions identified as category 1, 2, 3, or 4A with a CA125 level below 35 U/ml were classified as benign. Lesions identified as category 4A with a CA125 level more than or equal to 35 U/ml and lesions with a category of 4B and 5 were classified as malignant. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the curve (AUC) of O-RADS (v2022), CA125, and the combined model in the diagnosis of AMs were calculated and compared.
The sensitivity, specificity, PPV, NPV, accuracy, and AUCs of the combined model were 92.4%, 96.5%, 80.2%, 98.8%, 94.1%, and 0.945, respectively. The specificity, PPV, accuracy, and AUC of the combined model were significantly higher than those of O-RADS alone (all < 0.01). In addition, both models had acceptable sensitivity and NPV, but there were no significant differences among them ( > 0.05).
The combined model integrating O-RADS subclassification with CA125 could improve the specificity and PPV in diagnosing malignant AMs. It could be a valuable tool in the clinical application of risk stratification of AMs.
开发一种将2022版美国放射学会(ACR)卵巢附件报告和数据系统(O-RADS)的分类与糖类抗原125(CA125)相结合的联合诊断模型,并验证该联合模型在评估附件恶性肿瘤风险方面是否比单独使用O-RADS具有更高的诊断效能。
对593例附件包块(AM)患者进行回顾性分析,纳入病理和临床数据。根据O-RADS 4类中不同图像特征的恶性风险指数差异较大,将病变分为A组和B组。制定了新的诊断标准。CA125水平低于35 U/ml且被判定为1、2、3或4A类的病变分类为良性。CA125水平大于或等于35 U/ml且被判定为4A类的病变以及4B和5类病变分类为恶性。计算并比较O-RADS(v2022)、CA125和联合模型在诊断AM中的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)、准确性和曲线下面积(AUC)。
联合模型的敏感性、特异性、PPV、NPV、准确性和AUC分别为92.4%、96.5%、80.2%、98.8%、94.1%和0.945。联合模型的特异性、PPV、准确性和AUC显著高于单独使用O-RADS(均P<0.01)。此外,两种模型的敏感性和NPV均可接受,但两者之间无显著差异(P>0.05)。
将O-RADS分类与CA125相结合的联合模型可提高诊断恶性AM的特异性和PPV。它可能是AM风险分层临床应用中的一个有价值的工具。