通过简化intravoxel不连贯运动成像的综合扩散和 perfusion 索引图,可以对乳腺病变进行视觉评估
Petra Mürtz1, Alois M Sprinkart2, Wolfgang Block2,3,4
1Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. petra.muertz@ukbonn.de.
Scientific reports
|May 19, 2025
概括
使用扩散和 perfusion 指数 (IDf) 地图进行视觉评估,可以准确地评估乳腺病变. 这种方法与定量兴趣区域 (ROI) 分析相比,简化了分析,提供了可比的诊断性能.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
背景情况:
- 扩散权重成像 (DWI) 对于乳腺损伤的评估至关重要.
- 之前的研究发现,估计的扩散系数 (D') 和 perfusion 分数 (f') 的综合分析对于 DWI 是最佳的.
- 为了潜在的临床应用,开发了一个简化的单一二进制索引图 (IDf).
研究的目的:
- 为了评估视觉乳腺损伤评估的准确性,使用IDf地图.
- 将IDf视觉评估与D'和f'地图的定量分析进行比较.
- 确定视觉IDf评估是否可以在临床例行中取代复杂的定量方法.
主要方法:
- IDf地图是使用D'和f'的切线值构建的.
- 重新分析了105种恶性病变和86种良性病变的数据.
- 视觉评估包括在b800图像上进行双色覆盖 (红色表示恶性,绿色表示良性).
主要成果:
- 对IDf地图的视觉评估显示,对D'和f'地图的定量分析 (0.927对比0.937,p=0.157) 的准确性相当.
- 视觉IDf评估的准确性也与联合ROI分析 (0.921对比0.937,p=0.157) 相当.
- 两种方法之间没有观察到精度的显著差异.
结论:
- 对IDf地图的视觉评估是对D'和f'地图的联合ROI分析的一个可行的替代方案.
- 这种视觉方法保持了诊断准确性,同时大大简化了临床工作流程.
- IDf视觉评估促进了使用DWI评估乳腺损伤的常规临床实践.
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