Texture Analysis of Cartilage Repair Tissue Maturation: Comparison of Two Cartilage Repair Methods and Correlation with MOCART 2.0

软骨修复组织成熟度的纹理分析:两种软骨修复方法的比较及与 MOCART 2.0 的相关性

阅读:1

Abstract

ObjectiveThe objective of this study was to assess the maturation of matrix-associated autologous chondrocyte transplantation (MACT) grafts up to 2 years after the surgery using gray-level co-occurrence matrix (GLCM) texture analysis of quantitative T(2) maps, compare the results with the microfracturing technique (MFX) control group, and relate these results to the morphological MOCART 2.0 score.DesignA subcohort of 37 patients from prospective, multi-center study underwent examination on a 3T MR scanner, including a T(2) mapping sequence at 3, 12, and 24 months after surgery. Changes between the time-points in the mean T(2) values and 20 GLCM features extracted from T(2) maps were assessed in repair tissue, tissue adjacent to the repair site, and the reference cartilage for both procedures.ResultsSignificant correlations were found between the MOCART 2.0 and GLCM features for both surgical procedures. There were no significant differences between MACT and MFX. We identified significant intra-group changes in T(2) and autocorrelation (3M-12M: P = 0.002; 3M-24M: P = 0.004), dissimilarity (3M-24M: P = 0.01), homogeneity (3M-24M: P = 0.013), and correlation (3M-24M: P = 0.036), sum average (3M-12M: P = 0.001; 3M-24M: P = 0.002), and information measure (3M-24M: P < 0.001) in the MACT repair tissue. MACT models revealed differences in GLCM between all combinations of ROI types at almost all time-points. In the case of MFX, the significant differences were mainly between repair and reference tissue at 12 months.ConclusionTexture analysis provides a useful extension to T(2) mapping. Texture features are correlated to the morphological outcome and reveal differences in the process of maturation between MACT and MFX.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。