Pai S Anoosha, Zhang Honglin, Shewchuk Jason R, Al Omran Bedoor, Street John, Wilson David, Doroudi Majid, Brown Stephen H M, Oxland Thomas R
School of Biomedical Engineering University of British Columbia Vancouver Canada.
ICORD University of British Columbia Vancouver Canada.
JOR Spine. 2020 Jul 1;3(3):e1103. doi: 10.1002/jsp2.1103. eCollection 2020 Sep.
MRI derived spinal-muscle morphology measurements have potential diagnostic, prognostic, and therapeutic applications in spinal health. Muscle morphology in the thoracic spine is an important determinant of kyphosis severity in older adults. However, the literature on quantification of spinal muscles to date has been limited to cervical and lumbar regions. Hence, we aim to propose a method to quantitatively identify regions of interest of thoracic spinal muscle in axial MR images and investigate the repeatability of their measurements.
Middle (T4-T5) and lower (T8-T9) thoracic levels of six healthy volunteers (age 26 ± 6 years) were imaged in an upright open scanner (0.5T MROpen, Paramed, Genoa, Italy). A descriptive methodology for defining the regions of interest of trapezius, erector spinae, and transversospinalis in axial MR images was developed. The guidelines for segmentation are laid out based on the points of origin and insertion, probable size, shape, and the position of the muscle groups relative to other recognizable anatomical landmarks as seen from typical axial MR images. 2D parameters such as muscle cross-sectional area (CSA) and muscle position (radius and angle) with respect to the vertebral body centroid were computed and 3D muscle geometries were generated. Intra and inter-rater segmentation repeatability was assessed with intraclass correlation coefficient (ICC (3,1)) for 2D parameters and with dice coefficient (DC) for 3D parameters.
Intra and inter-rater repeatability for 2D and 3D parameters for all muscles was generally good/excellent (average ICC (3,1) = 0.9 with ranges of 0.56-0.98; average DC = 0.92 with ranges from 0.85-0.95).
The guidelines proposed are important for reliable MRI-based measurements and allow meaningful comparisons of muscle morphometry in the thoracic spine across different studies globally. Good segmentation repeatability suggests we can further investigate the effect of posture and spinal curvature on muscle morphology in the thoracic spine.
磁共振成像(MRI)得出的脊柱肌肉形态测量结果在脊柱健康方面具有潜在的诊断、预后及治疗应用价值。胸椎肌肉形态是老年人脊柱后凸严重程度的重要决定因素。然而,迄今为止关于脊柱肌肉量化的文献仅限于颈椎和腰椎区域。因此,我们旨在提出一种方法,用于在轴向MR图像中定量识别胸椎肌肉的感兴趣区域,并研究其测量的可重复性。
对6名健康志愿者(年龄26±6岁)的胸椎中部(T4-T5)和下部(T8-T9)水平在直立开放式扫描仪(0.5T MROpen,Paramed,意大利热那亚)中进行成像。开发了一种用于在轴向MR图像中定义斜方肌、竖脊肌和横突棘肌感兴趣区域的描述性方法。基于肌肉的起点和止点、可能的大小、形状以及从典型轴向MR图像中看到的肌肉群相对于其他可识别解剖标志的位置,制定了分割指南。计算了诸如肌肉横截面积(CSA)和相对于椎体中心的肌肉位置(半径和角度)等二维参数,并生成了三维肌肉几何形状。使用组内相关系数(ICC(3,1))评估二维参数的评分者内和评分者间分割可重复性,使用骰子系数(DC)评估三维参数的可重复性。
所有肌肉的二维和三维参数的评分者内和评分者间可重复性总体良好/优秀(平均ICC(3,1)=0.9,范围为0.56-0.98;平均DC=0.92,范围为从0.85-0.95)。
所提出的指南对于基于MRI的可靠测量很重要,并允许在全球不同研究中对胸椎肌肉形态进行有意义的比较。良好的分割可重复性表明我们可以进一步研究姿势和脊柱曲率对胸椎肌肉形态的影响。