Pacicco Thomas, Ratner Shayna, Xi Yin, Yokoo Takeshi, Fetzer David, Oz Orhan K, Rubin Craig D, Chhabra Avneesh
Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Advanced Imaging Research Center, UT Southwestern School of Medicine, Dallas, TX, USA.
Indian J Radiol Imaging. 2019 Apr-Jun;29(2):155-162. doi: 10.4103/ijri.IJRI_414_18.
To evaluate interreader performance in the measurement of the cross-sectional area and myosteatosis of pelvic skeletal muscles using fat quantification magnetic resonance imaging (MRI) and correlate with patient anthropomorphic characteristics.
A Health Insurance Portability and Accountability Act-compliant retrospective cross-sectional study was performed. Between January and April 2016, 61 patients (26 males and 35 females) underwent a lumbosacral plexus 3T MRI with a modified three-dimensional spoiled gradient echo sequence dedicated to fat quantification (mDixon Quant; Philips Healthcare). Two independent reviewers outlined muscle cross-sectional area on axial images using a freehand region of interest tool and documented proton-density fat fraction (FF) and muscle area (cm) of the psoas, gluteus medius, gluteus maximus, and rectus femoris muscles on each side. Interreader agreement was assessed by intraclass correlation coefficient (ICC), and correlation between the measurements and subject's age, gender, and body mass index (BMI) was assessed using multiple linear regression analysis.
Excellent interreader agreement was obtained (ICC ≥0.74) for all muscle groups except for the left gluteus medius area and right psoas FF which showed good agreement (0.65 and 0.61, respectively). Statistically significant ( ≤ 0.05) positive correlation was seen between the gluteal muscle FF and area with BMI, and rectus muscle FF with age and BMI. Statistically significant negative correlation between the rectus femoris area and age was also observed.
Fat quantification MRI is a highly reproducible imaging technique for the assessment of myosteatosis and muscle size. Intramuscular FF and cross-sectional area were correlated with age and BMI across multiple muscle groups.
使用脂肪定量磁共振成像（MRI）评估阅片者在测量骨盆骨骼肌横截面积和肌脂肪变性方面的表现，并与患者人体测量学特征进行关联分析。
开展了一项符合《健康保险流通与责任法案》的回顾性横断面研究。2016年1月至4月期间，61例患者（26例男性和35例女性）接受了腰骶丛3T MRI检查，采用改良的三维扰相梯度回波序列进行脂肪定量（mDixon Quant；飞利浦医疗保健公司）。两名独立的阅片者使用徒手感兴趣区域工具在轴位图像上勾勒出肌肉横截面积，并记录每侧腰大肌、臀中肌、臀大肌和股直肌的质子密度脂肪分数（FF）和肌肉面积（平方厘米）。通过组内相关系数（ICC）评估阅片者间的一致性，并使用多元线性回归分析评估测量值与受试者年龄、性别和体重指数（BMI）之间的相关性。
除左侧臀中肌面积和右侧腰大肌FF外，所有肌肉组均获得了良好的阅片者间一致性（ICC≥0.74），左侧臀中肌面积和右侧腰大肌FF显示出较好的一致性（分别为0.65和0.61）。臀肌FF和面积与BMI之间存在统计学显著（P≤0.05）正相关，股直肌FF与年龄和BMI之间也存在统计学显著正相关。还观察到股直肌面积与年龄之间存在统计学显著负相关。
脂肪定量MRI是一种用于评估肌脂肪变性和肌肉大小的高度可重复的成像技术。多个肌肉组的肌内FF和横截面积与年龄和BMI相关。
