Kopka Michaela, Fourman Mitchell, Soni Ashish, Cordle Andrew C, Lin Albert
Division of Sports Medicine, Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Division of Sports Medicine, Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
J Shoulder Elbow Surg. 2017 Sep;26(9):1527-1532. doi: 10.1016/j.jse.2017.03.014. Epub 2017 May 5.
The Walch classification is the most recognized means of assessing glenoid wear in preoperative planning for shoulder arthroplasty. This classification relies on advanced imaging, which is more expensive and less practical than plain radiographs. The purpose of this study was to determine whether the Walch classification could be accurately applied to x-ray images compared with magnetic resonance imaging (MRI) as the gold standard. We hypothesized that x-ray images cannot adequately replace advanced imaging in the evaluation of glenoid wear.
Preoperative axillary x-ray images and MRI scans of 50 patients assessed for shoulder arthroplasty were independently reviewed by 5 raters. Glenoid wear was individually classified according to the Walch classification using each imaging modality. The raters then collectively reviewed the MRI scans and assigned a consensus classification to serve as the gold standard. The κ coefficient was used to determine interobserver agreement for x-ray images and independent MRI reads, as well as the agreement between x-ray images and consensus MRI.
The inter-rater agreement for x-ray images and MRIs was "moderate" (κ = 0.42 and κ = 0.47, respectively) for the 5-category Walch classification (A1, A2, B1, B2, C) and "moderate" (κ = 0.54 and κ = 0.59, respectively) for the 3-category Walch classification (A, B, C). The agreement between x-ray images and consensus MRI was much lower: "fair-to-moderate" (κ = 0.21-0.51) for the 5-category and "moderate" (κ = 0.36-0.60) for the 3-category Walch classification.
The inter-rater agreement between x-ray images and consensus MRI is "fair-to-moderate." This is lower than the previously reported reliability of the Walch classification using computed tomography scans. Accordingly, x-ray images are inferior to advanced imaging when assessing glenoid wear.
瓦尔什分类法是肩关节置换术前规划中评估肩胛盂磨损最常用的方法。该分类法依赖于先进的影像学检查,其费用比普通X线片更高,实用性也更低。本研究的目的是确定与作为金标准的磁共振成像(MRI)相比,瓦尔什分类法能否准确应用于X线图像。我们假设在评估肩胛盂磨损时,X线图像不能充分替代先进的影像学检查。
5名评估者分别独立审查了50例接受肩关节置换术评估患者的术前腋位X线图像和MRI扫描。使用每种成像方式,根据瓦尔什分类法对肩胛盂磨损进行单独分类。然后评估者共同审查MRI扫描,并指定一个共识分类作为金标准。κ系数用于确定X线图像和独立MRI读数之间的观察者间一致性,以及X线图像和共识MRI之间的一致性。
对于5类瓦尔什分类(A1、A2、B1、B2、C),X线图像和MRI的评估者间一致性为“中等”(κ分别为0.42和0.47),对于3类瓦尔什分类(A、B、C),一致性为“中等”(κ分别为0.54和0.59)。X线图像和共识MRI之间的一致性要低得多:对于5类瓦尔什分类为“一般至中等”(κ = 0.21 - 0.51),对于3类瓦尔什分类为“中等”(κ = 0.36 - 0.60)。
X线图像和共识MRI之间的评估者间一致性为“一般至中等”。这低于先前报道的使用计算机断层扫描的瓦尔什分类法的可靠性。因此,在评估肩胛盂磨损时,X线图像不如先进的影像学检查。