Eng Carolyn M, Abrams Geoff D, Smallwood Laura R, Lieber Richard L, Ward Samuel R
Department of Orthopaedic Surgery, University of California, San Diego, CA, USA.
J Biomech. 2007;40(14):3261-6. doi: 10.1016/j.jbiomech.2007.04.005. Epub 2007 May 22.
Upper extremity musculoskeletal modeling is becoming increasingly sophisticated, creating a growing need for subject-specific muscle size parameters. One method for determining subject-specific muscle volume is magnetic resonance imaging (MRI). The purpose of this study was to determine the validity of MRI-derived muscle volumes in the human forearm across a variety of muscle sizes and shapes. Seventeen cadaveric forearms were scanned using a fast-spoiled gradient echo pulse sequence with high isotropic spatial resolution (1mm(3) voxels) on a 3T MR system. Pronator teres (PT), extensor carpi radialis brevis (ECRB), extensor pollicis longus (EPL), flexor carpi ulnaris (FCU), and brachioradialis (BR) muscles were manually segmented allowing volume to be calculated. Forearms were then dissected, muscles isolated, and muscle masses obtained, which allowed computation of muscle volume. Intraclass correlation coefficients (ICC(2,1)) and absolute volume differences were used to compare measurement methods. There was excellent agreement between the anatomical and MRI-derived muscle volumes (ICC = 0.97, relative error = 12.8%) when all 43 muscles were considered together. When individual muscles were considered, there was excellent agreement between measurement methods for PT (ICC = 0.97, relative error = 8.4%), ECRB (ICC = 0.93, relative error = 7.7%), and FCU (ICC = 0.91, relative error = 9.8%), and fair agreement for EPL (ICC = 0.68, relative error = 21.6%) and BR (ICC = 0.93, relative error = 17.2%). Thus, while MRI-based measurements of muscle volume produce relatively small errors in some muscles, muscles with high surface area-to-volume ratios may predispose them to segmentation error, and, therefore, the accuracy of these measurements may be unacceptable.
上肢肌肉骨骼建模正变得越来越复杂,对特定个体的肌肉大小参数的需求也日益增长。一种确定特定个体肌肉体积的方法是磁共振成像(MRI)。本研究的目的是确定在各种肌肉大小和形状的情况下,MRI得出的人体前臂肌肉体积的有效性。在一台3T磁共振系统上,使用具有高各向同性空间分辨率(1mm³体素)的快速扰相梯度回波脉冲序列对17个尸体前臂进行扫描。手动分割旋前圆肌(PT)、桡侧腕短伸肌(ECRB)、拇长伸肌(EPL)、尺侧腕屈肌(FCU)和肱桡肌(BR),从而计算出体积。然后解剖前臂,分离肌肉并获取肌肉质量,进而计算肌肉体积。组内相关系数(ICC(2,1))和绝对体积差异用于比较测量方法。当将所有43块肌肉一起考虑时,解剖学测量的肌肉体积与MRI得出的肌肉体积之间具有极好的一致性(ICC = 0.97,相对误差 = 12.8%)。当考虑单个肌肉时,则PT(ICC = 0.97,相对误差 = 8.4%)、ECRB(ICC = 0.93,相对误差 = 7.7%)和FCU(ICC = 0.91,相对误差 = 9.8%)的测量方法之间具有极好的一致性,而EPL(ICC = 0.68,相对误差 = 21.6%)和BR(ICC = 0.93,相对误差 = 17.2%)的一致性一般。因此,虽然基于MRI的肌肉体积测量在某些肌肉中产生的误差相对较小,但表面积与体积比高的肌肉可能使其易出现分割误差,因此这些测量的准确性可能无法接受。