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首页> 外文期刊>Acta bio-medica: Atenei Parmensis >Evaluation of muscle tears in professional athletes using diffusion-weighted imaging and apparent diffusion coefficient: preliminary results
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Evaluation of muscle tears in professional athletes using diffusion-weighted imaging and apparent diffusion coefficient: preliminary results

机译:使用扩散加权成像和表观扩散系数评估专业运动员的肌肉撕裂:初步结果

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Purpose: Many studies have evaluated the role of DWI in musculoskeletal diseases but less is known on muscle tears. Especially for professional athletes, muscle injuries are responsible for large time lost. The aim of this study was to investigate on potential relationship between the muscle tear degree and the diffusion characteristics. Methods: In this retrospective study, patients signed a comprehensive consent form according to Good Clinical Practice guidelines before proceeding with all examinations. It satisfied all the requirements of the Declaration of Helsinki and the Italian national law for the protection of personal data. We have analyzed 38 professional athletes (36 males; mean age±standard deviation 27±8 years) with a muscle tear. They were 26 football and 12 athletics players, with clinically suspected injuries of the lower limbs muscles. All of patients underwent a 1.5-T MRI with standard protocol (STIR, TSE T2, SE T1, PD T2, PD fat sat T2) plus the DWI sequences with 0, 400 and 800 B-values (s/mmsup2/sup). Per each B value, an experienced radiologist measured the signal intensity (SI, in arbitrary units [au]) using a region of interest (ROI) placed within the tear on DWI images. SI drop off at the third B value was calculated referred to the first B value. Similarly, ADC was measured using the ADC map in a small ROI within the tear. Bivariate associations were evaluated using the Student t test. Logistic regression was performed using the tear degree as dependent variable. Data were given as mean±standard deviation. Results: According the Muller-Wohlfarth classification, the 38 muscle tears were classified in type 3a in 22/38 cases and 3b in 16/38 cases. At bivariate analysis, 3a-tears had a SI at the third B value (24±9 au) lower (P=0.003) than that of 3b-tears (34±9 au). Similarly, 3a-tears had a SI drop off (73±10%) lower (P=0.008) than that of 3b-tears (82±9%). ADC was not significantly associated to tear degree (P=0.093). At regression analysis, SI at the third B value was the only independent predictor of the tear degree (P=0.032), while the SI drop off was borderline significant (P=0.070). Conclusion: This preliminary data showed a positive correlation between the degree of muscle tears and the SI at the third B-value. Compared to 3a- tears, 3b-tears tend to show higher SI and a higher SI drop off.
机译:目的:许多研究已经评估了DWI在肌肉骨骼疾病中的作用,但对于肌肉流泪知之甚少。特别是对于专业运动员,肌肉受伤是造成大量时间损失的原因。本研究的目的是研究肌肉撕裂程度与扩散特性之间的潜在关系。方法:在这项回顾性研究中,患者在进行所有检查之前,应按照《良好临床实践》指南签署全面同意书。它满足了《赫尔辛基宣言》和意大利国家法律对保护个人数据的所有要求。我们分析了38名职业运动员的肌肉撕裂(男36名;平均年龄±标准差27±8岁)。他们是26名足球运动员和12名田径运动员,临床上怀疑下肢肌肉受伤。所有患者均接受了标准方案(STIR,TSE T2,SE T1,PD T2,PD脂肪饱和T2)的1.5-T MRI以及D值分别为0、400和800的DWI序列(s / mm 2) )。对于每个B值,有经验的放射科医生会使用DWI图像上的泪液内的感兴趣区域(ROI)测量信号强度(SI,以任意单位[au]表示)。计算相对于第一B值的第三B值的SI下降。同样,在泪液内的小ROI中使用ADC映射图测量ADC。使用Student t检验评估双变量关联。使用撕裂度作为因变量进行逻辑回归。数据以平均值±标准偏差给出。结果:根据Muller-Wohlfarth分类,将38例眼泪分为3a型(22/38例)和3b型(16/38例)。在双变量分析中,3a泪水的SI值比3b泪水(34±9 au)的三分B值(24±9 au)低(P = 0.003)。类似地,3a泪水的SI下降(73±10%)比3b泪水的SI下降(P = 0.008)低(82±9%)。 ADC与撕裂度没有显着相关性(P = 0.093)。在回归分析中,在第三个B值处的SI是撕裂度的唯一独立预测因子(P = 0.032),而SI的下降是临界值(P = 0.070)。结论:初步数据显示,在第三个B值处,肌肉撕裂程度与SI呈正相关。与3a眼泪相比,3b眼泪倾向于表现出更高的SI和更高的SI下降。

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