应用于短延迟空间连贯性超声波的通用对比度与噪声比率将乳腺囊与固体质量区分开来
Arunima Sharma1, Eniola T Oluyemi2, Madhavi Tripathi1
1Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, United States.
Radiology advances
|December 19, 2025
概括
这项研究表明,在短延迟空间连贯性 (SLSC) 超声图像上的通用对比度 (gCNR) 客观地改善了从固体乳腺体中区分复杂的囊. 这一进步提高了乳腺癌检测的诊断准确度.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是指放射学
- 乳腺癌检测 乳腺癌检测
背景情况:
- 超声波B模式成像在乳腺癌检测中难以区分复杂的囊和固体质量,导致潜在的错误阳性.
- 准确的乳腺质量分类对于及时诊断和治疗计划至关重要.
研究的目的:
- 评估一般化对比与噪声比 (gCNR) 在短延迟空间连贯 (SLSC) 超声图像上的诊断性能.
- 确定SLSC图像上的ChNR是否可以客观地改善复杂囊与固体乳腺质量的分类.
主要方法:
- 对AUSPICIOUS观察性研究 (NCT07206888) 的二次分析,该研究涉及患有乳腺质量的女性.
- 原始超声数据使用定制软件进行处理,将CGNR应用于SLSC图像.
- 放射科医生使用SLSC图像上的ChnR进行分类,并与B模式图像解释进行比较,并使用从志向或病理学上的参考标准.
主要成果:
- 接受器操作特征曲线 (AUC) 下的平均面积用于区分复杂囊和固体质量为0.96,SLSC图像上的ChNR显著高于B模式读数 (平均下限AUC为0.67).
- 在SLSC图像上,读者间一致性从B模式的公平 (κ = 0.40) 改进为中度 (κ = 0.59) 与SLSC图像上的 gCNR.
- 这项研究分析了来自115名妇女的145个乳房质量,包括16个复杂的囊和96个固体质量.
结论:
- 在SLSC超声图像上使用CGNR的客观测量显著提高了复杂囊和固体乳腺质量之间的差异化.
- 这种先进的超声波技术与主观B模式图像解释相比,提供了更好的诊断性能.
- 这些发现表明SLSC图像上的CGNR可以成为更准确的乳腺质量表征的有价值工具.
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