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先天性肌营养不良患者盆腔和大腿肌肉的磁共振成像

MR imaging of pelvic and thigh muscles in congenital muscular dystrophy.

作者信息

Oto A, Aydingöz U, Başgün N, Talim B, Karaağaoğlu E, Topaloğlu H

机构信息

Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.

出版信息

Turk J Pediatr. 2001 Jan-Mar;43(1):44-51.

Abstract

To define and compare the magnetic resonance (MR) imaging findings of pelvic and thigh muscles in merosin-deficient and merosin-positive congenital muscular dystrophy, 10 patients with merosin-positive and six patients with merosin-deficient muscular dystrophy were examined in a 0.5 T MR imaging unit. Intensity and atrophy scores were given to individual muscles by two radiologists and were calculated for three muscle groups (pelvic, anterior thigh and posterior thigh muscles). Rectus femoris was affected less than the vastus muscles in 40 percent of cases in merosin-positive patients, whereas there was no selective sparing in merosin-deficient patients. Sartorius and gracilis were relatively spared in both groups. The most consistently affected muscles were gluteus maximus, adductor magnus and brevis in merosin-positive patients. Atrophy was more prominent in the adductor muscles in the merosin-deficient group. Intensity scores of anterior thigh muscles of the merosin-positive group were significantly higher than those of the merosin-deficient group (U = 8, p = 0.016). When stepwise logistic regression model was applied, intensity score of the anterior thigh muscles was found to be the best differentiating variable. The regression analysis model formed was able to differentiate the two forms with a sensitivity of 80 percent and specificity of 83 percent.

摘要

为了定义和比较缺乏merosin和merosin阳性的先天性肌营养不良患者盆腔和大腿肌肉的磁共振成像(MR)表现,对10例merosin阳性和6例merosin缺乏的肌营养不良患者在0.5 T MR成像设备上进行了检查。两位放射科医生对各肌肉给出强度和萎缩评分,并计算三个肌肉组(盆腔、大腿前部和大腿后部肌肉)的评分。在merosin阳性患者中,40%的病例股直肌受累程度低于股四头肌,而在merosin缺乏的患者中没有选择性受累较轻的情况。缝匠肌和股薄肌在两组中相对受累较轻。在merosin阳性患者中,最常受累的肌肉是臀大肌、大收肌和短收肌。在merosin缺乏组中,内收肌的萎缩更明显。merosin阳性组大腿前部肌肉的强度评分显著高于merosin缺乏组(U = 8,p = 0.016)。应用逐步逻辑回归模型时,发现大腿前部肌肉的强度评分是最佳鉴别变量。所形成的回归分析模型能够区分这两种类型,敏感性为80%,特异性为83%。

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