儿童临床脑 MRI 扫描定量分析的脑生长图表，伴有有限的成像病理学。
Brain Growth Charts for Quantitative Analysis of Pediatric Clinical Brain MRI Scans with Limited Imaging Pathology.
机构信息
From 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.
出版信息
Radiology. 2023 Oct;309(1):e230096. doi: 10.1148/radiol.230096.
Background Clinically acquired brain MRI scans represent a valuable but underused resource for investigating neurodevelopment due to their technical heterogeneity and lack of appropriate controls. These barriers have curtailed retrospective studies of clinical brain MRI scans compared with more costly prospectively acquired research-quality brain MRI scans. Purpose To provide a benchmark for neuroanatomic variability in clinically acquired brain MRI scans with limited imaging pathology (SLIPs) and to evaluate if growth charts from curated clinical MRI scans differed from research-quality MRI scans or were influenced by clinical indication for the scan. Materials and Methods In this secondary analysis of preexisting data, clinical brain MRI SLIPs from an urban pediatric health care system (individuals aged ≤22 years) were scanned across nine 3.0-T MRI scanners. The curation process included manual review of signed radiology reports and automated and manual quality review of images without gross pathology. Global and regional volumetric imaging phenotypes were measured using two image segmentation pipelines, and clinical brain growth charts were quantitatively compared with charts derived from a large set of research controls in the same age range by means of Pearson correlation and age at peak volume. Results The curated clinical data set included 532 patients (277 male; median age, 10 years [IQR, 5-14 years]; age range, 28 days after birth to 22 years) scanned between 2005 and 2020. Clinical brain growth charts were highly correlated with growth charts derived from research data sets (22 studies, 8346 individuals [4947 male]; age range, 152 days after birth to 22 years) in terms of normative developmental trajectories predicted by the models (median = 0.979). Conclusion The clinical indication of the scans did not significantly bias the output of clinical brain charts. Brain growth charts derived from clinical controls with limited imaging pathology were highly correlated with brain charts from research controls, suggesting the potential of curated clinical MRI scans to supplement research data sets. © RSNA, 2023 See also the editorial by Ertl-Wagner and Pai in this issue.
背景 由于技术异质性和缺乏适当对照，临床获得的脑 MRI 扫描代表了一种有价值但未充分利用的资源，用于研究神经发育。这些障碍限制了与更昂贵的前瞻性获取的研究质量脑 MRI 扫描相比，对临床脑 MRI 扫描的回顾性研究。目的 提供具有有限成像病理（SLIPs）的临床获得脑 MRI 扫描中神经解剖变异性的基准，并评估来自经过策展的临床 MRI 扫描的生长图表是否与研究质量 MRI 扫描不同，或者是否受扫描的临床指征影响。材料与方法 在对现有数据的二次分析中，来自城市儿科医疗保健系统的临床脑 MRI SLIP（年龄≤22 岁的个体）在 9 台 3.0-T MRI 扫描仪上进行了扫描。策展过程包括对已签署的放射学报告进行手动审查，以及对没有大体病理的图像进行自动和手动质量审查。使用两个图像分割管道测量了全局和区域容积成像表型，并通过 Pearson 相关性和峰值体积时的年龄，定量比较了临床脑生长图表与同一年龄范围内来自大量研究对照的图表。结果 经策展的临床数据集包括 532 名患者（277 名男性；中位数年龄为 10 岁[IQR，5-14 岁]；年龄范围为出生后 28 天至 22 岁），扫描时间为 2005 年至 2020 年。临床脑生长图表与来自研究数据集的生长图表高度相关（22 项研究，8346 名个体[4947 名男性]；年龄范围为出生后 152 天至 22 岁），模型预测的正常发育轨迹高度相关（中位数=0.979）。结论 扫描的临床指征并未显著影响临床脑图表的输出。具有有限成像病理的临床对照衍生的脑生长图表与研究对照的脑图表高度相关，这表明经过策展的临床 MRI 扫描具有补充研究数据集的潜力。版权所有©2023，美国放射学会。 本期还可见 Ertl-Wagner 和 Pai 的社论。
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