在脑MRI中使用真实和人工T1加权后对比图像检测转移
Robert Haase1, Thomas Pinetz, Erich Kobler
1From the Department of Diagnostic and Interventional Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany (R.H., E.K., Z.B., D.P., R.C., A.R., K.D.); Institute of Applied Mathematics, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany (T.P., A.E.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (D.P.); Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany (D.P., H.-P.S.); Department of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany (M.F.-D., K.S., G.H., C.P.H.); Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany (M.F.-D.); Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (V.W., C.P.H.); Translational Lung Research Center Heidelberg, Member of the German Center of Lung Research (DZL), Heidelberg, Germany (C.P.H.); Praxisnetz, Radiology and Nuclear Medicine, Bonn, Germany (M.V.); Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany (J.A.L.); Chair of Civil Law, Data Protection Law, Law of Data Economy, Digitalization and AI Law, Faculty of Law, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany (L.S.-R.); and German Center for Neurodegenerative Diseases (DZNE), Helmholtz Association of German Research Centers, Venusberg-Campus 1, Bonn, Germany (A.R., K.D.).
这项研究比较了使用低剂量对比剂和人工图像的脑MRI转移检测. 虽然一个读者对真实图像表现出更高的敏感性,但对于更大的转移,这两种方法的表现都类似.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 在脑MRI中减少基于加多的对比剂至关重要.
- 检测小病变是脑MRI的一个关键挑战.
研究的目的:
- 为了比较转移检测的灵敏度和精度,使用真正的对比度增强的T1加权 (T1w) 图像与从低剂量的脑MRI中合成的人工T1w图像.
- 评估深度学习在生成用于转移检测的人工图像方面的有效性.
主要方法:
- 一项前性多中心研究,有917名参与者接受了脑部MRI.
- 低剂量 (0.033 mmol/kg) 和全剂量 (0.1 mmol/kg) 的T1w图像的比较.
- 两个神经放射学家评估了真实和人工T1w图像上的转移检测;参考读者证实了这些发现.
主要成果:
- 一位读者使用真实图像 (78.4%) 与人工图像 (60.8%) 相比,显示出显著更高的灵敏度.
- 对于≥5毫米的转移,没有观察到敏感度的显著差异.
- 假阳性结果在真实图像和人工图像之间没有显著差异.
结论:
- 深度学习合成的人工图像显示了在脑MRI中的某些诊断任务的潜力.
- 低剂量对比成像可能适用于比转移检测更不苛刻的诊断任务.
- 需要进一步的研究,以优化人工图像生成,用于敏感的转移检测.
相关概念视频
Magnetic Resonance Imaging
Brain Imaging
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...


