Đorđević Srđan, Rozman Sergej, Zupet Petra, Dopsaj Milivoj, Maffulli Nicola
TMG-BMC, Štihova ulica 24, 1000 Ljubljana, Slovenia.
Institute for Medicine and Sports, Cesta na Poljane 24, 1000 Ljubljana, Slovenia.
Biology (Basel). 2022 May 13;11(5):746. doi: 10.3390/biology11050746.
The hamstring muscle group is the most frequently injured muscle group in non-contact muscle injuries in sports involving high-speed running. A total of 84% of hamstring injuries affect the biceps femoris (BF) muscle. Clinical assessments and magnetic resonance imaging (MRI) are routinely used for diagnosis and plan management. MRI-negative scans for clinically diagnosed hamstring injuries range from 14% to 45%. We tested the hypothesis that the functional differences between injured and non-injured BF assessed by tensiomyography can be used for diagnostic and classification purposes. We compared an injured group of 53 international-level soccer players and sprinters with 53 non-injured international-level soccer players and sprinters of both sexes. Comparing the injured vs. non-injured athletes and the left vs. right side in all of the athletes, we used the percentage of absolute differences in the BF contraction time (Tc) to classify non-injured and injured BF muscles. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) and the precision−recall curve (PRC) were used to measure the classification accuracy and to identify cut-off limits using the Tc differences. There was a very high ROC AUC value of 0.981 (SE = 0.009, p < 0.000), with 98.11% of the injured muscles being correctly classified (cut-off point 12.50% on Tc differences), and an AUPRC value of 0.981, with association classification criteria at >9.87. Tensiomyography has a high predictive ability to discriminate between injured and non-injured BF non-invasively and functionally.
在涉及高速奔跑的运动中，腘绳肌群是非接触性肌肉损伤中最常受伤的肌肉群。总共84%的腘绳肌损伤累及股二头肌（BF）。临床评估和磁共振成像（MRI）常规用于诊断和制定治疗方案。临床诊断为腘绳肌损伤但MRI扫描呈阴性的比例在14%至45%之间。我们检验了这样一个假设，即通过张力肌电图评估的受伤和未受伤BF之间的功能差异可用于诊断和分类。我们将53名国际水平的足球运动员和短跑运动员组成的受伤组与53名未受伤的男女国际水平足球运动员和短跑运动员进行了比较。在比较受伤与未受伤运动员以及所有运动员的左侧与右侧时，我们使用BF收缩时间（Tc）的绝对差异百分比来对未受伤和受伤的BF肌肉进行分类。受试者工作特征（ROC）曲线、曲线下面积（AUC）和精确召回率曲线（PRC）用于测量分类准确性，并使用Tc差异确定临界值。ROC AUC值非常高，为0.981（标准误 = 0.009，p < 0.000），98.11%的受伤肌肉被正确分类（Tc差异的临界点为12.50%），AUPRC值为0.981，关联分类标准>9.87。张力肌电图具有很高的预测能力，能够在功能上和非侵入性地鉴别受伤和未受伤的BF。
