大脑生长图表用于量化分析儿科临床大脑MRI扫描与有限的成像病理学
Jenna M Schabdach1, J Eric Schmitt1, Susan Sotardi1
1From the Lifespan Brain Institute (LiBI) of the Children's Hospital of Philadelphia (CHOP) and Penn Medicine, Philadelphia, Pa (J.M.S., A.O.R., M.G., A.S.M., B.H.C., R.E.G., T.D.S., J.S., A.A.B.); Department of Child and Adolescent Psychiatry and Behavioral Science (J.M.S., J.S., A.A.B.), Department of Radiology (S.S., A.V., S.A., T.P.R., H.H.), PolicyLab and Clinical Futures, CHOP Research Institute (B.H.C.), and Department of Biomedical and Health Informatics (J.E.S., S.S., V.P.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Psychiatry (J.E.S., R.E.G., T.D.S., D.R., J.S., A.A.B.), Department of Radiology (J.E.S., S.S., A.V., S.A., T.P.R., H.H.), Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry (S.C., T.D.S.), and Department of Pediatrics (B.H.C.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Departments of Psychiatry (S.A.B., S.R.W., E.B., R.A.I.B.) and Psychology (R.A.I.B.), University of Cambridge, Cambridge, United Kingdom; Center for Biomedical Image Computation and Analytics (R.T.S.), Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics (R.T.S.), and Lifespan Brain Chart Consortium (S.R.W., E.B., R.A.I.B., R.T.S., T.D.S., J.S., A.A.B.), University of Pennsylvania, Philadelphia, Pa; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom (B.B., J.E.I.); Martinos Center for Biomedical Imaging and Department of Radiology (J.E.I.) and Department of Otolaryngology-Head and Neck Surgery (S.G.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass; and McGovern Institute for Brain Research (S.G.) and Computer Science & Artificial Intelligence Laboratory (B.B., J.E.I.), Massachusetts Institute of Technology, Cambridge, Mass.
临床获得的大脑MRI扫描,当策划,可靠地补充研究数据的神经发育研究. 这些大脑生长图表与研究质量的扫描图表非常相似,克服了数据限制.
科学领域:
- 神经成像和发育神经科学
- 医疗图像分析和数据策划
背景情况:
- 临床大脑MRI扫描在神经发育研究中未得到充分利用,原因是技术的变化和缺乏控制.
- 使用临床MRI扫描的回顾性研究与昂贵的,前性获得的研究扫描相比是有限的.
- 临床MRI数据的异质性阻碍了强大的神经发育研究.
研究的目的:
- 建立临床获得的大脑MRI扫描与有限的成像病理 (SLIPs) 中神经解剖学变异性的基准.
- 评估从策划的临床MRI扫描中获得的生长图表是否与研究质量的扫描不同.
- 为了确定扫描的临床指示是否会影响大脑生长图的结果.
主要方法:
- 在9个3.0-T扫描仪中对532个儿科临床脑部MRI扫描 (≤22岁) 的二次分析.
- 策划涉及手动审查放射学报告和图像质量评估,以排除严重的病理.
- 全球和区域大脑体积被测量;使用Pearson相关性,临床生长图表与8346个研究对照进行了比较.
主要成果:
- 精选的临床大脑生长图表显示高相关性 (中位数r = 0.979) 与研究衍生图表的规范性发育轨迹.
- 根据MRI扫描的临床指示,在临床脑图中没有发现显著的偏差.
- 该研究包括2005年至2020年间扫描的儿科患者的多样化数据集.
结论:
- 精选的临床MRI扫描与有限的成像病理学提供了一个可靠的基准神经解剖学变异性.
- 临床大脑生长图表与研究质量数据的图表相似,这表明它们在研究中的有用性.
- 这种方法可以显著补充用于神经发育研究的现有研究数据集.
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 Stimulation (TMS).


