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与体重指数相关的脊柱标志深度。

Spinal landmark depth in relation to body mass index.

作者信息

Kawchuk Gregory N, Prasad Narasimha, Parent Eric, Chapman Sheena, Custodio Marianne, Manzon Maria, Wiebe Amanda, Dhillon Suki

机构信息

University of Alberta, Edmonton, Alberta, Canada.

出版信息

Man Ther. 2011 Aug;16(4):384-7. doi: 10.1016/j.math.2011.01.007. Epub 2011 Feb 17.

Abstract

Identifying spinal landmarks by palpation is a prerequisite to many manual therapy procedures. Understanding if landmark depth changes with a subject's body mass index (BMI) may help clinicians attribute importance to their palpation findings. In this study, 105 consecutive subjects were referred for lumbar magnetic resonance imaging (MRI) in a hospital setting. Four blinded examiners measured T1-weighted MRI images to quantify the depth of spinous and transverse processes in the lumbar spine. For each process, a linear mixed-effects model was carried out by gender with depth as the outcome and BMI as a covariate. The average BMI for males (n = 57) was 27.52 kg/m(2) and 27.02 kg/m(2) for females. The mean landmark depth was 22.77 mm, 23.00 mm, 27.40 mm, 33.40 mm, 36.65 mm for spinous processes L1-L5 respectively and 69.35 mm and 69.41 mm for the left and right L4 transverse processes. The inter-evaluator, intra-class correlation coefficient averaged 0.98 for all depth measurements. The linear relationship between depth and BMI was statistically significant for all landmarks in females and only for spinous processes in males. In conclusion, the strength of the correlations observed suggests that although landmark depth increases with subject BMI, other factors may influence this correlation.

摘要

通过触诊识别脊柱标志是许多手法治疗程序的前提条件。了解标志深度是否会随受试者的体重指数(BMI)变化,可能有助于临床医生重视其触诊结果。在本研究中,105名连续的受试者在医院环境中接受了腰椎磁共振成像(MRI)检查。四名盲法检查者测量了T1加权MRI图像,以量化腰椎棘突和横突的深度。对于每个部位,采用线性混合效应模型,以性别为分类变量,深度为结果变量,BMI为协变量。男性(n = 57)的平均BMI为27.52kg/m²,女性为27.02kg/m²。L1-L5棘突的平均标志深度分别为22.77mm、23.00mm、27.40mm、33.40mm、36.65mm,L4左侧和右侧横突的平均标志深度为69.35mm和69.41mm。所有深度测量的评估者间组内相关系数平均为0.98。女性所有标志以及男性仅棘突的深度与BMI之间的线性关系具有统计学意义。总之,观察到的相关性强度表明,尽管标志深度随受试者BMI增加,但其他因素可能会影响这种相关性。

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