Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Yale College, Yale University, New Haven, Connecticut, USA.
J Neuroimaging. 2024 Jul-Aug;34(4):466-474. doi: 10.1111/jon.13219. Epub 2024 Jun 10.
Conclusions from prior literature regarding the impact of sex, age, and height on spinal cord (SC) MRI morphometrics are conflicting, while the effect of body weight on SC morphometrics has been found to be nonsignificant. The purpose of this case-control study is to assess the associations between cervical SC MRI morphometric parameters and age, sex, height, and weight to establish their potential role as confounding variables in a clinical study of people with multiple sclerosis (MS) compared to a cohort of healthy volunteers.
Sixty-nine healthy volunteers and 31 people with MS underwent cervical SC MRI at 3 Tesla field strength. Images were centered at the C3/C4 intervertebral disc and processed using Spinal Cord Toolbox v.4.0.2. Mixed-effects linear regression models were used to evaluate the effects of biological variables and disease status on morphometric parameters.
Sex, age, and height had significant effects on cord and gray matter (GM) cross-sectional area (CSA) as well as the GM:cord CSA ratio. There were no significant effects of body weight on morphometric parameters. The effect of MS disease duration on cord CSA in the C4 level was significant when controlling for all other variables.
Studies of disease-related changes in SC morphometry should control for sex, age, and height to account for physiological variation.
先前文献中关于性别、年龄和身高对脊髓(SC)MRI 形态计量学的影响的结论存在冲突,而体重对 SC 形态计量学的影响则被认为无统计学意义。本病例对照研究的目的是评估颈椎 SC MRI 形态计量参数与年龄、性别、身高和体重之间的关联,以确定它们在与健康志愿者队列相比的多发性硬化症(MS)患者的临床研究中作为混杂变量的潜在作用。
69 名健康志愿者和 31 名 MS 患者在 3T 场强下进行颈椎 SC MRI 检查。图像以 C3/C4 椎间盘为中心,使用 Spinal Cord Toolbox v.4.0.2 进行处理。混合效应线性回归模型用于评估生物变量和疾病状态对形态计量参数的影响。
性别、年龄和身高对脊髓和灰质(GM)横截面积(CSA)以及 GM:脊髓 CSA 比值有显著影响。体重对形态计量参数没有显著影响。在控制所有其他变量的情况下,MS 疾病持续时间对 C4 水平脊髓 CSA 的影响具有统计学意义。
研究 SC 形态计量学与疾病相关的变化时,应控制性别、年龄和身高,以解释生理变化。