美国O-RADS:对特定类别恶性病发病率的系统审查和元分析
Sunyoung Lee1, Ji Eun Lee1, Jeong Ah Hwang1
1From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea (S.L.); Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon, Republic of Korea (J.E.L.); Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.A.H.); and Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea (H.S.).
美国的卵巢附细胞报告和数据系统 (O-RADS) 风险分层系统准确地预测了卵巢病变的恶性瘤概率. 综合的O-RADS US得分4和5显示了检测恶性附质群体的高度敏感性.
科学领域:
- 放射学 放射学是一门学科.
- 妇科成像技术 妇科成像技术
- 在瘤学瘤学.
背景情况:
- 卵巢 - 附病变报告和数据系统 (O-RADS) 美国对于标准化卵巢和附病变的评估至关重要.
- 准确的风险分层对于适当的患者管理和减少不必要的程序至关重要.
结论:
- 美国O-RADS评分系统有效地按预期分层恶性瘤风险.
- 将O-RADS US分数4和5结合起来,可以作为诊断恶性卵巢尾病变的高度敏感,中度特异性指标.
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