通过使用计算机辅助诊断软件进行乳腺超声波,提高诊断性能和乳腺成像报告和数据系统,通过使用计算机辅助诊断软件进行经验较少的放射科医生的类别协议
Peilei Wang1, Hansheng Xia, Limin Liu
1Department of Ultrasound, Zhongshan Hospital Fudan University, Shanghai, China.
Ultrasound quarterly
|November 26, 2024
概括
计算机辅助诊断 (CAD) 软件提高了经验较少的放射科医生的超声波 (美国) 性能. CAD提高了诊断准确性和对乳腺成像报告和数据系统 (BI-RADS) 类别的共识,有助于临床决策.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 经验较少的放射科医生可能在准确解释乳房超声波 (US) 图像方面面临挑战.
- 在乳腺成像中改善诊断性能和读者之间的协议对于患者护理至关重要.
- 乳腺成像报告和数据系统 (BI-RADS) 的分类要求对标准化报告进行一致的应用.
研究的目的:
- 评估计算机辅助诊断 (CAD) 软件在乳腺美国的有效性.
- 评估CAD在经验较少的放射科医生中改善诊断性能的潜力.
- 为了确定CAD是否提高了经验较少和经验丰富的放射科医生之间对BI-RADS类别的共识.
主要方法:
- 351名女性患者的385个乳腺病变的回顾性分析 (2019年1月 - 2020年12月).
- 两位经验较少的放射科医生独立审查了美国图像,并没有CAD协助.
- 诊断性表现指标 (灵敏度,特异性,准确性,PPV,NPV) 和BI-RADS类别协议 (卡帕统计) 被计算和比较.
主要成果:
- CAD软件表现出高性能 (灵敏度为95.5%,特异性为71.5%,精度为81.3%).
- CAD显著改善了诊断性能 (AUC:初级放射科医生为0.704比0.847,中级放射科医生为0.876比0.900,P<0.01).
- 使用CAD导致经验较少和经验丰富的放射科医生之间的BI-RADS类别协议显著改善 (P <0.05).
结论:
- 基于智能化的CAD软件是改善乳腺癌诊断性能的有效工具.
- CAD帮助经验较少的放射科医生实现更好的诊断准确性和一致性.
- CAD集成增强了BI-RADS类别的读者间协议,支持临床决策.
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