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全层肩袖的三维脂肪浸润可通过局部节段性堆积单位预测:一项对无创伤性小至巨大肩袖撕裂患者的横断面研究。

The 3-Dimensional Fatty Infiltration in the Overall Supraspinatus Can Be Predicted by Localized Sectional Accumulation Units: A Cross-Sectional Study in Patients with Atraumatic Small-to-Massive Rotator Cuff Tears.

机构信息

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

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

出版信息

J Bone Joint Surg Am. 2023 Mar 1;105(5):380-388. doi: 10.2106/JBJS.22.00767. Epub 2023 Jan 10.

Abstract

BACKGROUND

Fatty infiltration (FI) of the rotator cuff (RC) muscles is one of the most common risk factors for a retear following RC repair. Recent methodological developments focus on using 3-dimensional measurements of the overall FI of RC muscles instead of using single-plane-based measurements. However, the required labor-intensive segmentation and time-consuming post-processing steps need to be optimized for routine clinical use.

METHODS

We collected all 6-point Dixon magnetic resonance imaging (MRI) slices of the overall supraspinatus in 46 patients with atraumatic small-to-massive RC tears. Using emerging techniques, the overall 3-dimensional FI of the supraspinatus (overall FI, using all N slices) was assessed as the reference. Each sagittal segment of the supraspinatus was defined as a sectional accumulation unit (SAU). The localized FI in SAUs with different scales of N/3, N/6, and N/12 slices (SAU-FIs) was then calculated using piecewise accumulation by stacking neighboring slices after the overall supraspinatus had been sequentially segmented using MRI slices of the same thickness. The capacity of the SAU-FIs to predict the overall FI, and the ideal locations for prediction, were evaluated using linear regression models after the associations were examined. Goodness-of-fit of the regression models was appraised by the coefficient of determination (R 2 ) and root-mean-square error (RMSE). The agreement between the predicted and measured overall FI was assessed using Bland-Altman analysis and the standard deviation of the percent differences (sd%).

RESULTS

The localized SAU-FIs of the N/3, N/6, and N/12 SAUs generally displayed comparable distributions throughout the normalized distal-proximal long axis of the supraspinatus. The localized SAU-FIs showed substantial correspondence with the overall FI, and the highest correlations were found in the 2/3 SAU (Pearson r and Spearman ρ: 0.95, 0.98), 3/6 and 4/6 SAUs (Pearson r and Spearman ρ: 0.97), and 5/12 to 7/12 SAUs (Pearson r and Spearman ρ: 0.95 to 0.96). The strongest predictors to estimate the overall supraspinatus FI in the regression analysis were these SAU-FIs located in the middle third, which demonstrated good fits to the overall FI (all R 2 ≥ 0.90; RMSE ≤ 1.69). The best agreements between the overall FI predicted by the regression models and the measured overall FI were found in these SAUs (2/3 SAU: sd% = 4.84%; 3/6 and 4/6 SAUs: sd% = 5.14%; 5/12 to 7/12 SAUs: sd% = 6.44%).

CONCLUSIONS

Specific SAUs near the center of the supraspinatus (2/3, 3/6 and 4/6, and 5/12 to 7/12 SAUs), which displayed the best agreement between the predictions and actual measurements of overall FI values, can serve as appropriate surrogates to estimate the overall FI of the supraspinatus in small-to-massive RC tears. The potential to assess the overall FI of the supraspinatus using specific localized SAUs may improve the speed of analytical strategies for accurately assessing the overall FI of RC muscles and thus enable their routine clinical use in the future.

LEVEL OF EVIDENCE

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

摘要

背景

肩袖(RC)肌肉的脂肪浸润(FI)是 RC 修复后再撕裂的最常见危险因素之一。最近的方法学进展侧重于使用 RC 肌肉整体 FI 的三维测量,而不是使用单平面测量。然而,需要进行劳动密集型的分割和耗时的后处理步骤,以优化常规临床使用。

方法

我们收集了 46 例无创伤性小至大量 RC 撕裂患者的整个冈上肌的 6 点 Dixon 磁共振成像(MRI)切片。使用新兴技术,评估整个冈上肌的整体 3 维 FI(使用所有 N 个切片的整体 FI,作为参考。每个冈上肌的矢状段都定义为一个分段累积单位(SAU)。然后,使用 MRI 切片按顺序分段冈上肌后,通过堆叠相邻切片进行分段累积,计算不同 N/3、N/6 和 N/12 切片尺度的局部 SAU-FI(SAU-FI)。使用线性回归模型评估 SAU-FI 预测整体 FI 的能力,以及预测的理想位置,在检查关联后进行。通过确定系数(R 2 )和均方根误差(RMSE)评估回归模型的拟合优度。通过 Bland-Altman 分析和百分比差异的标准偏差(sd%)评估预测和测量的整体 FI 之间的一致性。

结果

N/3、N/6 和 N/12 SAU 的局部 SAU-FI 通常在整个冈上肌的归一化近-远长轴上显示出相似的分布。局部 SAU-FI 与整体 FI 具有显著的对应关系,在 2/3 SAU 中发现了最高的相关性(Pearson r 和 Spearman ρ:0.95、0.98),3/6 和 4/6 SAUs(Pearson r 和 Spearman ρ:0.97),以及 5/12 到 7/12 SAUs(Pearson r 和 Spearman ρ:0.95 到 0.96)。回归分析中,估计整体冈上肌 FI 的最强预测因子是位于中间三分之一的这些 SAU-FI,它们与整体 FI 拟合良好(所有 R 2 ≥ 0.90;RMSE ≤ 1.69)。在这些 SAUs 中,发现了回归模型预测的整体 FI 与测量的整体 FI 之间的最佳一致性(2/3 SAU:sd%=4.84%;3/6 和 4/6 SAUs:sd%=5.14%;5/12 到 7/12 SAUs:sd%=6.44%)。

结论

冈上肌中心附近的特定 SAUs(2/3、3/6 和 4/6,以及 5/12 到 7/12 SAUs),在预测和实际测量整体 FI 值之间具有最佳一致性,可以作为估计小至大量 RC 撕裂冈上肌整体 FI 的合适替代物。使用特定的局部 SAUs 评估整体 FI 的潜力可能会提高准确评估 RC 肌肉整体 FI 的分析策略的速度,从而使其能够在未来常规临床使用。

证据水平

预后 IV 级。有关证据水平的完整描述,请参见作者说明。

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