在X射线等效剂量光子计数探测器CT上对肺的评估:视觉评分和自动定量算法的评估
Bjarne Kerber1, Falko Ensle, Jonas Kroschke
1From the Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, University Zurich, Zurich, Switzerland (B.K., F.E., J.K., T.F., L.J.); Advanced Radiology Center, Department of Diagnostic Imaging and Oncological Radiotherapy, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy (C.S., A.R.L.); and Section of Radiology, Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore, Rome, Italy (A.R.L.).
在低剂量计算机断层扫描 (CT) 扫描上对肺气的视觉评分是可靠的,即使在X射线等效剂量. 深度学习模型显示出有希望的结果,但在降低剂量扫描中可能会高估肺气.
科学领域:
- 放射学 放射学是指放射学
- 肺部医学 肺部医学
- 医疗成像医学成像
背景情况:
- 肺评估对于COPD管理至关重要.
- 降低CT扫描中的辐射剂量是患者安全的首要任务.
- 光子计数检测器CT (PCD-CT) 提供了剂量降低的潜力.
研究的目的:
- 为了评估视觉评分,低衰减体积 (LAV) 和深度学习,使用PCD-CT.
- 探索剂量降低在肺瘤检测和监测中的可行性.
主要方法:
- 101名患者接受了低剂量和X射线剂量的PCD-CT扫描.
- 放射科医生对视觉肺气的评分进行了扫描类型之间的比较.
- 使用LAV和深度学习模型进行了自动定量,并与视觉评分进行了比较.
主要成果:
- 在X射线剂量扫描中,辐射剂量比低剂量扫描 (0.66 mGy) 显著低 (0.11 mGy).
- 视觉评分显示,低剂量和X射线剂量扫描之间有很好的一致性 (κ=0.70, ρ=0.79).
- 深度学习和LAV在X射线剂量扫描上高估了肺气,尽管深度学习更强大,并且在低剂量扫描上与视觉评分有很好的一致性.
结论:
- 视觉肺气评分是可靠的X射线相当剂量PCD-CT扫描.
- 深度学习显示在低剂量扫描中与视觉评分有很好的一致性.
- 减少辐射剂量的扫描可能可以实现革命性的COPD检测和监测.
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