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超声波与计算机辅助诊断系统的诊断性能,用于检测乳腺癌
Pengjie Song1, Li Zhang1, Longmei Bai1
1Department of Ultrasound, Gangkou Hospital, Qinhuangdao, Hebei, 066000, China.
Heliyon
|October 20, 2023
概括
与传统超声波相比,计算机辅助诊断 (CAD) 显著提高了乳腺癌检测的准确性和特异性,特别是在较小的瘤中. CAD有助于识别良性病变,减少不必要的侵入性手术.
科学领域:
- 放射学和医学成像学 医学成像学
- 在瘤学瘤学.
- 人工智能在医学中的应用
背景情况:
- 乳腺癌的诊断严重依赖于超声波等成像技术.
- 传统的超声波性能可能是有限的,特别是对于较小或微妙的病变.
- 计算机辅助诊断 (CAD) 系统为诊断准确性提供了潜在的改进.
研究的目的:
- 评估用于乳腺癌检测的计算机辅助诊断 (CAD) 系统的诊断性能.
- 将CAD系统的性能与传统超声波进行比较.
- 评估CAD对检测小恶性瘤 (≤20毫米) 的影响.
主要方法:
- 对123名乳腺瘤患者的回顾性分析 (2021年3月 - 2023年7月).
- 病理学结果 (活检/手术) 作为比较的黄金标准.
- 诊断指标 (灵敏度,特异性,精度,AUC) 计算了常规超声波和CAD,并对质量≤20mm的子组分析.
主要成果:
- 与传统超声波相比,CAD显示出更高的诊断性能,具有更高的特异性 (92.71%与62.5%) 和准确性 (93.5%与69.92%).
- 对CAD来说,接收器运行特征曲线 (AUC) 下的面积显著更大 (0.9450与0.7940,p < 0.0001).
- 对于较小质量 (≤20毫米) 的CAD保持了更好的性能,显示了更高的特异性 (91.43%与51.43%) 和精度 (90.70%与58.14%). 31个最初被CAD归类为BI-RADS 4A/4B的良性病变被正确地确定为良性病变.
结论:
- 计算机辅助诊断 (CAD) 显著提高了乳房超声波的诊断性能,提供更高的特异性,准确性和AUC.
- 在识别良性病变方面,CAD特别有效,包括BI-RADS 4A/4B分类,从而可能减少不必要的侵入性手术.
- 改善了CAD的诊断能力,即使对于较小的瘤大小也是一致的,这使得它成为乳腺癌查和诊断的宝贵工具.
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