预测乳房成像-报告和数据系统分类可触摸的乳房群体使用超声波来优先考虑乳房扫描队列
Sarisa Thinyu1, Thanin Lokeskrawee2, Takumi Sakata3
1Department of Radiology, Lampang Hospital, Lampang 52000, Thailand.
Journal of clinical medicine research
|February 3, 2026
概括
一种新的两步乳房超声波模型使用形状,边缘和回声模式准确识别高风险群体. 这有助于提高乳腺癌及时诊断的乳腺扫描队列优先级.
科学领域:
- 放射学和成像学 放射学和成像学
- 在瘤学瘤学.
- 医学诊断 医学诊断 医学诊断
背景情况:
- 乳腺癌是全球女性癌症死亡的主要原因.
- 目前的乳腺成像分类使用乳腺成像报告和数据系统 (BI-RADS).
- 拉曼普医院的乳房造影延迟导致诊断推迟,需要改进优先级策略.
研究的目的:
- 开发和评估乳腺质量风险分层的两步超声波模型.
- 将模型的性能与BI-RADS分类系统进行比较.
- 为了优化乳腺癌诊断的乳腺扫描队列优先级.
主要方法:
- 来自兰邦医院的390张超声波图像的回顾性分析 (2021年1月 - 2023年12月).
- 独立的放射科医生审查对BI-RADS分类失明.
- 逐步的多变量风险差异回归以确定预测性超声波特征 (形状,边缘,回声模式).
主要成果:
- 两步模型显示出优异的区分,接收器操作特征曲线 (AuROC) 下的面积为0.9801 (第一步) 和0.9623 (第二步).
- 内部验证证实了最小的乐观.
- 该模型实现了88.5%的准确性,在BI-RADS 4-5类别中略有低估,在其他类别中略有高估.
结论:
- 使用形状,边缘和回声模式的两步超声模型为乳腺质量风险评估提供了高准确性和分辨率.
- 这种模型可以优化乳房镜排队优先级,潜在地减少诊断延迟.
- 在广泛临床实施之前,建议进行外部验证.
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