质量和定量增强参数的诊断价值在增强对比度的乳房造 mammography 上
Musa Kul1, Selçuk Akkaya2, Sibel Kul2
1University of Health Sciences, Trabzon Faculty of Medicine, Kanuni Health Research Center, Department of Radiology, Trabzon, Türkiye
Diagnostic and interventional radiology (Ankara, Turkey)
|April 15, 2024
概括
对比增强乳房扫描 (CEM) 的定量参数,如对比噪声比 (CNR) 和信号差异百分比 (PSD),可以有效预测恶性瘤. 高CNR和特定增强模式是诊断乳腺癌CEM的关键指标.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 在瘤学瘤学.
背景情况:
- 增强对比度的乳房显微镜 (CEM) 是一种用于乳腺癌检测的新兴成像技术.
- 评估增强特征可以帮助区分良性与恶性乳腺病变.
研究的目的:
- 评估从CEM获得的定性和定量增强参数在预测恶性瘤中的有用性.
- 为了确定CEM特征是否能够准确地区分恶性与良性乳腺病变.
主要方法:
- 在CEM上对136个可疑的乳腺病变进行了回顾性分析.
- 评估损伤明显性,增强模式 (同质,异质,边缘),对比度和噪声比率 (CNR) 和信号差异百分比 (PSD).
- 统计分析包括ROC分析,科恩卡帕和斯皮尔曼相关性.
主要成果:
- 与良性病变相比,恶性病变显示出更高的明显性和CNR.
- 从早期看来,CNR显示了82%的灵敏度和72%的特异性;PSD显示了79%的灵敏度和65%的特异性.
- 下降增强模式和边缘增强高度预测恶性瘤 (96%的积极预测值).
结论:
- 定量CEM参数提供了比定性参数更高的诊断准确性.
- 高CNR,边缘增强和下降模式表明恶性病变.
- 低CNR,均增强和上升模式更为良性病变的特征.
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