Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Science, Tehran, Iran.
Department of Gynecology, Oncology, Vail-e-Asr Hospital, Imam Khomeini Hospital, Tehran, Iran.
Asian Pac J Cancer Prev. 2024 Apr 1;25(4):1265-1270. doi: 10.31557/APJCP.2024.25.4.1265.
This study aims to compare the accuracy of the ADNEX MR scoring system and pattern recognition system to evaluate adnexal lesions indeterminate on the US exam.
In this cross-sectional retrospective study, pelvic DCE-MRI of 245 patients with 340 adnexal masses was studied based on the ADNEX MR scoring system and pattern recognition system.
ADNEX MR scoring system with a sensitivity of 96.6% and specificity of 91% has an accuracy of 92.9%. The pattern recognition system's sensitivity, specificity, and accuracy are 95.8%, 93.3%, and 94.7%, respectively. PPV and NPV for the ADNEX MR scoring system were 85.1 and 98.1, respectively. PPV and NPV for the pattern recognition system were 89.7% and 97.7%, respectively. The area under the ROC curve for the ADNEX MR scoring system and pattern recognition system is 0.938 (95% CI, 0.909-0.967) and 0.950 (95% CI, 0.922-0.977). Pairwise comparison of these AUCs showed no significant difference (p = 0.052).
The pattern recognition system is less sensitive than the ADNEX MR scoring system, yet more specific.
本研究旨在比较 ADNEX MR 评分系统和模式识别系统评估 US 检查不确定的附件病变的准确性。
在这项横断面回顾性研究中，根据 ADNEX MR 评分系统和模式识别系统对 245 例 340 个附件肿块的盆腔 DCE-MRI 进行了研究。
ADNEX MR 评分系统的灵敏度为 96.6%，特异性为 91%，准确率为 92.9%。模式识别系统的灵敏度、特异性和准确率分别为 95.8%、93.3%和 94.7%。ADNEX MR 评分系统的 PPV 和 NPV 分别为 85.1%和 98.1%。模式识别系统的 PPV 和 NPV 分别为 89.7%和 97.7%。ADNEX MR 评分系统和模式识别系统的 ROC 曲线下面积分别为 0.938（95%CI，0.909-0.967）和 0.950（95%CI，0.922-0.977）。这些 AUC 的两两比较无统计学差异（p = 0.052）。
与 ADNEX MR 评分系统相比，模式识别系统的灵敏度较低，但特异性更高。
