对美国O-RADS风险分层系统和医生主观判断之间的诊断效率进行比较
Shan Zhou1,2, Yuyang Guo1, Lieming Wen1
1Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China.
BMC medical imaging
|November 21, 2023
概括
卵巢-附体报告和数据系统 (O-RADS) 有效地识别恶性附体质,提高诊断准确性,特别是对于经验较少的医生. 对于良性病变的分化还需要进一步的细化.
科学领域:
- 妇科 妇科 妇科 妇科
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
背景情况:
- 附质量在区分良性和恶性疾病方面存在诊断挑战.
- 准确的风险分层对于适当的患者管理和手术规划至关重要.
研究的目的:
- 为了比较卵巢-附细胞报告和数据系统 (O-RADS) 的诊断效率与主观医生的判断,以评估附细胞质恶性瘤风险.
- 评估医生经验对O-RADS和主观评估的表现的影响.
主要方法:
- 对616个副质 (2017-2020年) 的回顾性分析,记录了临床,超声波和病理数据.
- 由初级和高级医生使用主观判断和O-RADS对群体的评估.
- 对诊断结果与最终的病理诊断进行比较.
主要成果:
- 在初级 (84.4%) 和高级 (91.2%) 医生中,O-RADS在检测恶性瘤方面表现出高灵敏度.
- 在初级医生 (0.83对0.79) 或高级医生 (0.86对0.86) 的O-RADS和主观判断之间,整体诊断效率 (AUC) 没有显著差异.
- 小医生在使用O-RADS治疗特定良性病变 (如成熟的囊性瘤和子宫内膜瘤) 时,诊断准确度低于高级医生.
结论:
- 在预测恶性副质群体方面,O-RADS表现出色.
- O-RADS系统可以部分缓解初级医生之间的经验差距.
- 建议对O-RADS进行改进,以改善对各种良性附病变的歧视.
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