患者使用“CLASS”MRI序列对髌股内侧韧带与股骨连接部位的个性化识别。

IF 2.3 Q2 ORTHOPEDICS JBJS Open Access Pub Date : 2023-10-03 eCollection Date: 2023-10-01 DOI:10.2106/JBJS.OA.23.00097
Marc Barrera Uso, Grégoire Thürig, Alexander Frank Heimann, Joseph M Schwab, Raul Panadero-Morales, José Luis Peris, Moritz Tannast, Daniel Petek
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引用次数: 0

摘要

背景:髌股内侧韧带(MPFL)重建过程中股骨隧道的错位可能会增加髌骨脱位复发的风险,因为在屈伸过程中发生了等长变化。已经描述了使用荧光镜检查来识别MPFL等轴测点的不同方法。然而,股骨隧道错位被发现是38.1%的髌骨再定位翻修的原因。这种高错位率引发了个体解剖变异性的问题。方法:使用CLASS(MRI生成的压缩横向和前后解剖系统序列)算法对80个天然膝关节进行磁共振成像(MRI),以识别股骨MPFL插入。2名资深整形外科医生在MRI视图上识别了插入物,以评估该方法的可靠性和可重复性。然后在2平面坐标系中描述MPFL插入位置的分布,并与先前发表的研究中用其他方法确定的MPFL插入地点进行比较。结果:CLASS MPFL足迹位于后皮质前方0.83 mm(第1行)和Blumensaat线附近3.66 mm(第2行)。分析表明,CLASS方法识别解剖股骨MPFL插入点的再现性为0.90和0.89,可靠性为0.89和0.80。该分布与以前通过其他方法获得的公布数据不相关。Schöttle等人和Fujino等人的研究中对MPFL插入点的定义最接近股后皮质的CLASS位置,但CLASS方法与之前发表的所有4种方法在近端-远端位置方面存在显著差异。当我们对1号线和2号线的距离进行平均时,最接近CLASS方法的方法是Stephen等人的方法,其次是Schöttle等人的方法。结论:CLASS算法是一种可靠且可重复的方法,可以从MRI视图中识别MPFL股骨插入。使用CLASS算法进行的测量显示了大量的个体解剖变化,而现有的测量方法可能无法充分捕捉到这些变化。虽然进一步的研究必须将这种方法转化为临床应用,但我们相信,这种方法有可能在MPFL手术重建过程中为股骨隧道的矢状面荧光镜识别创建一个安全的模板。证据级别:预后级别II。有关证据级别的完整描述,请参阅《作者须知》。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Patient-Individualized Identification of Medial Patellofemoral Ligament Attachment Site to Femur Using "CLASS" MRI Sequences.

Background: Malposition of the femoral tunnel during medial patellofemoral ligament (MPFL) reconstruction may increase the risk of recurrence of patellar dislocation due to isometric changes during flexion and extension. Different methods have been described to identify the MPFL isometric point using fluoroscopy. However, femoral tunnel malposition was found to be the cause of 38.1% of revisions due to patellar redislocation. This high rate of malposition has raised the question of individual anatomical variability.

Methods: Magnetic resonance imaging (MRI) was performed on 80 native knees using the CLASS (MRI-generated Compressed Lateral and anteroposterior Anatomical Systematic Sequence) algorithm to identify the femoral MPFL insertion. The insertions were identified on the MRI views by 2 senior orthopaedic surgeons in order to assess the reliability and reproducibility of the method. The distribution of the MPFL insertion locations was then described in a 2-plane coordinate system and compared with MPFL insertion locations identified with other methods in previously published studies.

Results: The CLASS MPFL footprint was located 0.83 mm anterior to the posterior cortex (line 1) and 3.66 mm proximal to the Blumensaat line (line 2). Analysis demonstrated 0.90 and 0.89 reproducibility and 0.89 and 0.80 reliability of the CLASS method to identify the anatomical femoral MPFL insertion point. The distribution did not correlate with previously published data obtained with other methods. The definitions of the MPFL insertion point in the studies by Schöttle et al. and Fujino et al. most closely approximated the CLASS location in relation to the posterior femoral cortex, but there were significant differences between the CLASS method and all 4 previously published methods in relation to the proximal-distal location. When we averaged the distances from line 1 and line 2, the method that came closest to the CLASS method was that of Stephen et al., followed by the method of Schöttle et al.

Conclusions: The CLASS algorithm is a reliable and reproducible method to identify the MPFL femoral insertion from MRI views. Measurement using the CLASS algorithm shows substantial individual anatomical variation that may not be adequately captured with existing measurement methods. While further research must target translation of this method to clinical use, we believe that this method has the potential to create a safe template for sagittal fluoroscopic identification of the femoral tunnel during MPFL surgical reconstruction.

Level of evidence: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

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来源期刊
JBJS Open Access
JBJS Open Access Medicine-Surgery
CiteScore
5.00
自引率
0.00%
发文量
77
审稿时长
6 weeks
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