Badve Chaitra, Yu Alice, Rogers Matthew, Ma Dan, Liu Yiying, Schluchter Mark, Sunshine Jeffrey, Griswold Mark, Gulani Vikas
Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
School of Medicine, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
Tomography. 2015 Dec;1(2):136-144. doi: 10.18383/j.tom.2015.00166.
Magnetic resonance fingerprinting (MRF) is a method of image acquisition that produces multiple MR parametric maps from a single scan. Here, we describe the normal range and progression of MRF-derived relaxometry values with age in healthy individuals. 56 normal volunteers (ages 11-71 years, M:F 24:32) were scanned. Regions of interest were drawn on T and T maps in 38 areas, including lobar and deep white matter, deep gray nuclei, thalami and posterior fossa structures. Relaxometry differences were assessed using a forward stepwise selection of a baseline model including either gender, age, or both, where variables were included if they contributed significantly (p<0.05). Additionally, differences in regional anatomy, including comparisons between hemispheres and between anatomical subcomponents, were assessed by paired t-tests. Using this protocol, MRF-derived T and T in frontal WM regions were found to increase in with age, while occipital and temporal regions remained relatively stable. Deep gray nuclei, including substantia nigra, were found to have age-related decreases in relaxometry. Gender differences were observed in T and T of temporal regions, cerebellum and pons. Males were also found to have more rapid age-related changes in frontal and parietal WM. Regional differences were identified between hemispheres, between genu and splenium of corpus callosum, and between posteromedial and anterolateral thalami. In conclusion, MRF quantification can measure relaxometry trends in healthy individuals that are in agreement with current understanding of neuroanatomy and neurobiology, and has the ability to uncover additional patterns that have not yet been explored.
磁共振指纹识别(MRF)是一种图像采集方法,可通过单次扫描生成多个磁共振参数图。在此,我们描述了健康个体中基于MRF的弛豫测量值随年龄的正常范围和变化情况。对56名正常志愿者(年龄11 - 71岁,男:女为24:32)进行了扫描。在38个区域的T1和T2图上绘制感兴趣区域,包括脑叶和深部白质、深部灰质核团、丘脑和后颅窝结构。使用向前逐步选择基线模型评估弛豫测量差异,该模型包括性别、年龄或两者,若变量有显著贡献(p<0.05)则纳入。此外,通过配对t检验评估区域解剖结构的差异,包括半球之间以及解剖亚成分之间的比较。采用该方案,发现额叶白质区域基于MRF的T1和T2值随年龄增加,而枕叶和颞叶区域相对稳定。发现包括黑质在内的深部灰质核团的弛豫测量值随年龄下降。在颞叶区域、小脑和脑桥的T1和T2值中观察到性别差异。还发现男性额叶和顶叶白质的年龄相关变化更为迅速。在半球之间、胼胝体膝部和压部之间以及丘脑后内侧和前外侧之间发现了区域差异。总之,MRF定量可以测量健康个体中的弛豫测量趋势,这与当前对神经解剖学和神经生物学的理解一致,并且有能力揭示尚未探索的其他模式。