Approaches to Normalization of Spinal Cord Volume: Application to Multiple Sclerosis
Approaches to Normalization of Spinal Cord Volume: Application to Multiple Sclerosis
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DOI：
10.1111/j.1552-6569.2011.00629.x
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发表时间：
2012-07-01
影响因子：
2.4
通讯作者：
Bakshi, Rohit
中科院分区：
文献类型：
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作者：
Healy, Brian C.;Arora, Ashish;Bakshi, Rohit
背景与目的探讨脊髓体积正常化的方法。材料与方法34例多发性硬化（MS）患者（28例复发，6例进展）和15例健康对照者在3 T条件下获得全脊髓3 mm厚T2加权轴向快速自旋回波磁共振成像（MRI）图像。对于每个参与者，测量四个体积（C2-3体积，颈髓体积，胸髓体积和整个脊髓体积）。使用比例法，通过切片数量和身体大小的三个潜在测量值（颅内体积[ICV]、体重指数和体表面积）对体积进行标准化。结果：与复发性MS患者/健康对照组相比，进展性MS患者的所有原始体积和通过切片数或ICV标准化的体积均显著降低（P <0.05）。此外，C2-3体积和颈髓体积与扩展残疾状态量表评分显著相关（P <0.05）。所有区域体积均表现出高度的相关性，切片数量的归一化显著增加了一些相关性。在可靠性方面，无论标准化技术如何，整个脊髓体积的变异系数均低于C2-3体积。结论：由于标准化因子对可靠性和检测差异的能力影响有限，因此建议采用切片数标准化。
BACKGROUND AND PURPOSE To determine the proper method for the normalization of spinal cord volume. MATERIALS AND METHODS A group of 34 multiple sclerosis (MS) patients (28 relapsing and 6 progressive) and 15 healthy controls had whole spinal cord 3-mm thick T2-weighted axial fast spin-echo magnetic resonance imaging (MRI) images obtained at 3T. For each participant, four volumes were measured (C2-3 volume, cervical cord volume, thoracic cord volume, and whole cord volume). The volumes were normalized by the number of slices and three potential measures of body size (intracranial volume [ICV], body mass index, and body surface area) using the proportional method. RESULTS All raw volumes and volumes normalized by number of slices or ICV were significantly lower in progressive MS patients compared to relapsing MS patients/healthy controls (P < .05). In addition, C2-3 volume and cervical cord volume were significantly correlated with Expanded Disability Status Scale score (P < .05). All regional volumes showed high intercorrelation, and normalization by the number of slices significantly increased some correlations. Regarding reliability, whole cord volume regardless of normalization technique had lower coefficient of variation than C2-3 volume. CONCLUSIONS Since normalization factor had limited impact on reliability and the ability to detect differences, normalization by the number of slices is recommended.