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基于肩胛 Y 视图的改良评估工具对冈上肌整体脂肪浸润的相关性、预测性能和可靠性分析。

The Modified Assessment Tool Based on Scapular Y-View for Global Fatty Infiltration in the Supraspinatus Muscle: Correlation, Predictive Performance, and Reliability Analyses.

机构信息

Department of Sports Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Am J Sports Med. 2023 Apr;51(5):1243-1254. doi: 10.1177/03635465231158372. Epub 2023 Mar 14.

Abstract

BACKGROUND

The accurate evaluation of rotator cuff (RC) fatty degeneration after tears is critical for appropriate surgical decision making and prognosis. However, there is currently no reliable and practical tool to reflect the global fatty infiltration (Global-FI) throughout the 3-dimensional (3D) volumetric RC muscles.

PURPOSE

(1) To determine the correlations between 2 modified assessment tools and the Global-FI and their predictive performances and reliabilities for Global-FI prediction, and (2) to compare these predictive parameters with those of the conventional tool using a single scapular Y-view slice.

STUDY DESIGN

Cohort study (diagnosis); Level of evidence, 3.

METHODS

A total of 49 patients with full-thickness RC tears scheduled to undergo arthroscopic repairs were included, and their surgical shoulders underwent 6-point Dixon magnetic resonance imaging preoperatively. The Global-FI was measured by calculating the 3D-volumetric fat fraction (FF) of the whole supraspinatus muscle through all acquired oblique sagittal slices. As a commonly used radiological landmark, the scapular Y-view was used to evaluate single-plane fatty infiltration (Y-FI) by calculating the FF in 1 slice, defined as the conventional assessment tool. Two modified assessment tools expand the analytic imaging by integrating the FFs from the scapular Y-view slice and its neighboring slices, which were calculated by averaging the FFs of these 3 slices (Y-FI) and accumulating local 3D-volumetric FFs from 3 slices (Y-FI), respectively. The correlations between 3 assessment tools and the Global-FI were analyzed, and the predictive performance for Global-FI prediction using these tools was determined by goodness of fit and agreement. Moreover, the inter- and intraobserver reliabilities of these assessment tools were evaluated. Similar analyses were performed in the small-medium, large, or massive tear subgroups.

RESULTS

The Y-FI was significantly higher than the Global-FI in all cases and tear size subgroups, while the 2 modified assessment tools (Y-FI and Y-FI) did not significantly differ from the Global-FI. All assessment tools were significantly correlated with the Global-FI, but the Y-FI and Y-FI showed stronger correlations than the Y-FI, which was also determined in different tear sizes. Moreover, the regression models of the Y-FI and Y-FI showed superior goodness of fit to Y-FI in Global-FI prediction in all cases and subgroups, with larger coefficients of determination () and smaller root mean square errors. The predicted Global-FI using the regression model of Y-FI had the best agreement with the measured Global-FI, followed by the Y-FI, both showing smaller biases and standard deviation of the percentage difference between predicted- and measured Global-FI than the conventional Y-FI. In addition, the 2 modified assessment tools achieved better interobserver and intraobserver reliabilities than the conventional tool in all cases and subgroups.

CONCLUSION

Two modified assessment tools (Y-FI and Y-FI) were comparable with the Global-FI of the whole supraspinatus muscle, showing stronger correlations with the Global-FI and better predictive performances and reliabilities than the conventional tool (Y-FI). Moreover, the Y-FI was slightly superior to Y-FI in the predictive performance and reliability.

摘要

背景

准确评估肩袖撕裂后的脂肪变性对于制定合适的手术决策和预测预后至关重要。然而,目前尚无可靠且实用的工具能够反映整个三维(3D)肩袖肌肉的整体脂肪浸润(Global-FI)。

目的

(1)确定 2 种改良评估工具与 Global-FI 的相关性,及其对 Global-FI 预测的预测性能和可靠性;(2)与使用单肩胛骨 Y 视图切片的传统工具进行比较。

研究设计

队列研究(诊断);证据水平,3 级。

方法

共纳入 49 例全层肩袖撕裂患者,计划行关节镜修复术,术前所有手术侧肩关节均接受 6 点 Dixon 磁共振成像检查。通过计算所有获得的斜矢状位切片中整个冈上肌的 3D 容积脂肪分数(FF),测量 Global-FI。作为常用的影像学标志,肩胛骨 Y 视图用于通过计算 1 个切片中的 FF 来评估单平面脂肪浸润(Y-FI),定义为传统评估工具。两种改良评估工具通过整合肩胛骨 Y 视图切片及其相邻切片的 FF 来扩展分析成像,通过计算这 3 个切片的 FF 平均值(Y-FI)和累积来自 3 个切片的局部 3D 容积 FF(Y-FI)来实现。分析了 3 种评估工具与 Global-FI 的相关性,并通过拟合优度和一致性来确定这些工具对 Global-FI 预测的预测性能。此外,评估了这些评估工具的组内和组间可靠性。在小-中、大或巨大撕裂亚组中进行了类似的分析。

结果

在所有病例和撕裂大小亚组中,Y-FI 均明显高于 Global-FI,而 2 种改良评估工具(Y-FI 和 Y-FI)与 Global-FI 无显著差异。所有评估工具与 Global-FI 均呈显著相关性,但 Y-FI 和 Y-FI 与 Global-FI 的相关性更强,在不同的撕裂大小中也是如此。此外,Y-FI 和 Y-FI 的回归模型在所有病例和亚组的 Global-FI 预测中具有更好的拟合优度,决定系数()更大,预测 Global-FI 与实测 Global-FI 之间的均方根误差更小。使用 Y-FI 回归模型预测的 Global-FI 与实测 Global-FI 的一致性最好,其次是 Y-FI,两者的预测 Global-FI 与实测 Global-FI 之间的百分比差异的偏差和标准差均小于传统的 Y-FI。此外,在所有病例和亚组中,两种改良评估工具的组内和组间可靠性均优于传统工具。

结论

两种改良评估工具(Y-FI 和 Y-FI)与整个冈上肌的 Global-FI 相当,与 Global-FI 的相关性更强,预测性能和可靠性优于传统工具(Y-FI)。此外,Y-FI 在预测性能和可靠性方面略优于 Y-FI。

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