Extracting Voxel-Based Cartilage Relaxometry Features in Hip Osteoarthritis Subjects Using Principal Component Analysis

被引:2
作者
Liao, Tzu-Chieh [1 ]
Pedoia, Valentina [1 ]
Neumann, Jan [1 ]
Link, Thomas M. [1 ]
Souza, Richard B. [1 ,2 ]
Majumdar, Sharmila [1 ]
机构
[1] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, Musculoskeletal Quantitat Imaging Res, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Phys Therapy & Rehabil Sci, San Francisco, CA 94143 USA
关键词
hip osteoarthritis; magnetic resonance imaging; principal component analysis; T-1 rho and T-2; voxel-based relaxometry; T2; RELAXATION-TIMES; ARTICULAR-CARTILAGE; KNEE; T-2; MRI; INDIVIDUALS; T-1-RHO; PROGRESSION; WALKING; T1-RHO;
D O I
10.1002/jmri.26955
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background MRI-based relaxation time measurements provide quantitative assessment of cartilage biochemistry. Identifying distinctive relaxometry features in hip osteoarthritis (OA) might provide important information on regional disease variability. Purpose First, to incorporate fully automatic voxel-based relaxometry (VBR) with principal component analysis (PCA) to extract distinctive relaxometry features in subjects with radiographic hip OA and nondiseased controls. Second, to use the identified features to further distinguish subjects with cartilage compositional abnormalities. Study Type Cross-sectional. Subjects Thirty-three subjects with radiographic hip OA (20 males; age, 50.2 +/- 13.3 years) and 55 controls participated (28 males; 41.3 +/- 12.0 years). Sequence A 3.0T scanner using 3D SPGR, combined T-1 rho/T-2, and fast spin echo sequences. Assessment Pelvic radiographs, patients' self-reported symptoms, physical function, and cartilage morphology were analyzed. Cartilage relaxation times were quantified using traditional regions of interest and VBR approaches. PCA was performed on VBR data to identify distinctive relaxometry features, and were subsequently used to identify a subgroup of subjects from the controls that exhibited compositional abnormalities. Statistical Tests Chi-square and independent t-tests were used to compare group characteristics. Logistic regression models were used to identify the possible principal components (PCs) that were able to predict OA vs. control classification. Results In T-1 rho assessment, OA subjects demonstrated higher T-1 rho values in the posterior hip region and deep cartilage layer when compared with controls (P = 0.012 and 0.001, respectively). In T-2 assessment, OA subjects exhibited higher T-2 values in the posterior hip region (P < 0.001). Based on the PC score classification, 16 subjects without radiographic evidence of OA demonstrated relaxometry patterns similar to OA subjects, and exhibited worse physical function (P = 0.003) and cartilage lesions (P = 0.009-0.032) when compared with the remaining controls. Data Conclusion The study identified distinctive cartilage relaxometry features that were able to discriminate subjects with and without radiographic hip OA effectively. Technical Efficacy Stage: 2
引用
收藏
页码:1708 / 1719
页数:12
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