Dei Giudici Luca, Enea Davide, Pierdicca Laura, Cecconi Stefano, Ulisse Serena, Arima Serena, Giovagnoni Andrea, Gigante Antonio
Clinical Orthopaedics, Department of Clinical and Molecular Science, School of Medicine, Università Politecnica delle Marche, Via Tronto, 10/A, 60126, Ancona, Italy.
Department of Radiology, Università Politecnica delle Marche, Azienda Ospedaliero-Universitaria "Ospedali Riuniti", Ancona, Italy.
Radiol Med. 2015 Nov;120(11):1031-42. doi: 10.1007/s11547-015-0536-y. Epub 2015 Apr 8.
Patello-femoral malalignment (PFM) is a common cause of disability often related to patello-femoral syndrome (PFS). Several causes have been taken into account; a proper diagnosis requires instrumental imaging and a methodical evaluation of different parameters. The aim of the present study was to identify the most reliable parameters for measuring patello-femoral and inferior limb alignment by CT. Twenty randomly selected patients suffering from PFS for a total of 40 knees were studied by static CT scans in order to assess patellar tilt, patellar displacement, patellar and trochlear morphology and inferior limb alignment. All known parameters were measured; the variability of the measurements between observers was evaluated by boxplots, Pearson's correlation coefficients, and infraclass correlation coefficient [ICC(2,1)] based on a two-way random effect model. Bland-Altman mean differences and 95 % limits of agreement were computed for each pair of measurements. Patellar tilt parameters appeared equally reliable; patellar displacement is best measured with BoTot that showed an ICC of 0.889; morphology is best measured with WibergTot, with an ICC of 0.862; lastly, for the inferior limb alignment parameters' analysis, FTV outperformed the others in terms of reliability. The present study allowed us to select a limited number of reliable parameters in the evaluation of patello-femoral and inferior limb alignment. The use of these parameters may also result in a more reliable comparison of studies on PFM and in a better evaluation of the treatment outcomes.
髌股关节排列不齐(PFM)是导致残疾的常见原因,通常与髌股关节综合征(PFS)相关。已考虑到多种病因;准确诊断需要借助影像学检查以及对不同参数进行系统评估。本研究的目的是确定通过CT测量髌股关节和下肢排列最可靠的参数。对20例随机选取的患有PFS的患者共40个膝关节进行了静态CT扫描,以评估髌骨倾斜度、髌骨位移、髌骨和滑车形态以及下肢排列。测量了所有已知参数;基于双向随机效应模型,通过箱线图、Pearson相关系数和组内相关系数[ICC(2,1)]评估观察者之间测量值的变异性。计算每对测量值的Bland-Altman平均差异和95%一致性界限。髌骨倾斜参数显示出同样可靠;髌骨位移最好用BoTot测量,其ICC为0.889;形态最好用WibergTot测量,ICC为0.862;最后,对于下肢排列参数分析,FTV在可靠性方面优于其他参数。本研究使我们能够在评估髌股关节和下肢排列时选择数量有限的可靠参数。使用这些参数还可能使关于PFM的研究比较更可靠,并更好地评估治疗效果。