Penn Image Computing and Science Laboratory-PICSL, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Neuroimage. 2012 Apr 2;60(2):1266-79. doi: 10.1016/j.neuroimage.2012.01.098. Epub 2012 Jan 28.
The hippocampal formation (HF) is a brain structure of great interest because of its central role in learning and memory, and its associated vulnerability to several neurological disorders. In vivo oblique coronal T2-weighted MRI with high in-plane resolution (0.5 mm × 0.5 mm), thick slices (2.0 mm), and a field of view tailored to imaging the hippocampal formation (denoted HF-MRI in this paper) has been advanced as a useful imaging modality for detailed hippocampal morphometry. Cross-sectional analysis of volume measurements derived from HF-MRI has shown the modality's promise to yield sensitive imaging-based biomarker for neurological disorders such as Alzheimer's disease. However, the utility of this modality for making measurements of longitudinal change has not yet been demonstrated. In this paper, using an unbiased deformation-based morphometry (DBM) pipeline, we examine the suitability of HF-MRI for estimating longitudinal change by comparing atrophy rates measured in the whole hippocampus from this modality with those measured from more common isotropic (~1 mm³) T1-weighted MRI in the same set of individuals, in a cohort of healthy controls and patients with cognitive impairment. While measurements obtained from HF-MRI were largely consistent with those obtained from T1-MRI, HF-MRI yielded slightly larger group effect of greater atrophy rates in patients than in controls. The estimated minimum sample size required for detecting a 25% change in patients' atrophy rate in the hippocampus compared to the control group with a statistical power β=0.8 was N=269. For T1-MRI, the equivalent sample size was N=325. Using a dataset of test-retest scans, we show that the measurements were free of additive bias. We also demonstrate that these results were not a confound of certain methodological choices made in the DBM pipeline to address the challenges of making longitudinal measurements from HF-MRI, using a region of interest (ROI) around the HF to globally align serial images, followed by slice-by-slice deformable registration to measure local volume change. Additionally, we present a preliminary study of atrophy rate measurements within hippocampal subfields using HF-MRI. Cross-sectional differences in atrophy rates were detected in several subfields.
海马结构(HF)是一个非常有趣的脑结构,因为它在学习和记忆中起着核心作用,并且容易受到几种神经疾病的影响。具有高平面分辨率(约 0.5mm×0.5mm)、厚切片(2.0mm)和针对海马结构成像定制的视野的活体斜冠状 T2 加权 MRI(在本文中称为 HF-MRI)已被提出作为一种用于详细海马形态测量的有用成像方式。HF-MRI 衍生的体积测量的横截面分析表明,该方式有可能为阿尔茨海默病等神经退行性疾病提供敏感的基于成像的生物标志物。然而,该方式用于测量纵向变化的效用尚未得到证明。在本文中,我们使用无偏变形测量学(DBM)流水线,通过比较从该模态测量的整个海马体的萎缩率与同一组个体的更常见各向同性(1mm³)T1 加权 MRI 测量的萎缩率,来检查 HF-MRI 用于估计纵向变化的适用性,该组由健康对照者和认知障碍患者组成。尽管从 HF-MRI 获得的测量值与从 T1-MRI 获得的测量值基本一致,但 HF-MRI 得出的患者比对照组具有更大的海马体萎缩率的组效应略大。与对照组相比,HF-MRI 用于检测患者海马体萎缩率 25%变化所需的估计最小样本量为 N=269,统计功效β=0.8。对于 T1-MRI,等效样本量为 N=325。我们使用测试-重测扫描数据集表明,这些测量值没有加性偏差。我们还证明,这些结果不是 DBM 流水线中为应对从 HF-MRI 进行纵向测量而提出的某些方法选择的混杂因素,该流水线使用 HF 周围的感兴趣区域(ROI)来全局对齐连续图像,然后逐片进行可变形配准以测量局部体积变化。此外,我们还介绍了使用 HF-MRI 进行海马亚区萎缩率测量的初步研究。在几个亚区检测到了萎缩率的横截面差异。