Chen Yongjian, Li Yanru, Su Huiling, Lyu Guorong
Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
School of Clinical Medicine, Quanzhou Medical College, Quanzhou, China.
Front Oncol. 2024 Aug 16;14:1435636. doi: 10.3389/fonc.2024.1435636. eCollection 2024.
To compare the diagnostic effectiveness of the Gynecologic Imaging Reporting and Data System (GI-RADS) and Neoplasias in the Adnexa (ADNEX) model for the diagnosis of benign and malignant ovarian tumors by junior physicians.
The sonographic data of 634 patients with ovarian tumors confirmed by pathology in our hospital over 4 years were analyzed retrospectively by junior doctors. The diagnostic efficacy of the GI-RADS and ADNEX models was compared based on pathology.
(1) Regarding the diagnostic efficacy of the GI-RADS and ADNEX models, the sensitivity was 90.15% and 84.85%, the specificity was 87.65% and 85.86%, the accuracy rates were 88.17% and 85.65%, and the Youden Indices were 0.778 and 0.707, respectively. The areas under the receiver operating characteristic (ROC) curves were 0.924 (95% CI: 0.900-0.943) and 0.933 (95% CI: 0.911-0.951), respectively. The GI-RADS classification was equivalent to that of the ADNEX model in the diagnosis of adnexal tumors (0.05). These findings were highly consistent with the pathological results (Kappa values were 0.684 and 0.691, respectively). (2) When differentiating between different pathological types of adnexal tumors, the ADNEX model had the best diagnostic value for distinguishing between benign tumors and stage II-IV ovarian cancer (AUC=0.990, 95% CI: 0.978-0.997).
(1) The diagnostic efficacy of the GI-RADS and ADNEX models in the diagnosis of benign and malignant ovarian tumors by junior physicians is excellent and comparable. (2) The ADNEX model shows good value for differentiating ovarian tumors of different pathological types by junior physicians.
比较妇科影像报告和数据系统(GI-RADS)与附件肿瘤(ADNEX)模型对初级医师诊断卵巢良恶性肿瘤的诊断效能。
初级医生对我院4年间634例经病理确诊的卵巢肿瘤患者的超声数据进行回顾性分析。基于病理结果比较GI-RADS和ADNEX模型的诊断效能。
(1)关于GI-RADS和ADNEX模型的诊断效能,敏感性分别为90.15%和84.85%,特异性分别为87.65%和85.86%,准确率分别为88.17%和85.65%,约登指数分别为0.778和0.707。受试者工作特征(ROC)曲线下面积分别为0.924(95%CI:0.900-0.943)和0.933(95%CI:0.911-0.951)。GI-RADS分类在附件肿瘤诊断中与ADNEX模型相当(P=0.05)。这些结果与病理结果高度一致(Kappa值分别为0.684和0.691)。(2)在区分不同病理类型的附件肿瘤时,ADNEX模型在区分良性肿瘤和II-IV期卵巢癌方面具有最佳诊断价值(AUC=0.990,95%CI:0.978-0.997)。
(1)GI-RADS和ADNEX模型对初级医师诊断卵巢良恶性肿瘤的诊断效能良好且相当。(2)ADNEX模型在初级医师区分不同病理类型的卵巢肿瘤方面显示出良好价值。