Association of cartilage T1ρ and T2 relaxation time measurement with hip osteoarthritis progression: A 5-year longitudinal study using voxel-based relaxometry and Z-score normalization
Rafeek Thahakoya , Koren E. Roach , Misung Han , Rupsa Bhattacharjee , Fei Jiang , Johanna Luitjens , Emma Bahroos , Valentina Pedoia , Richard B. Souza , Sharmila Majumdar
{"title":"Association of cartilage T1ρ and T2 relaxation time measurement with hip osteoarthritis progression: A 5-year longitudinal study using voxel-based relaxometry and Z-score normalization","authors":"Rafeek Thahakoya , Koren E. Roach , Misung Han , Rupsa Bhattacharjee , Fei Jiang , Johanna Luitjens , Emma Bahroos , Valentina Pedoia , Richard B. Souza , Sharmila Majumdar","doi":"10.1016/j.ocarto.2024.100538","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To study the longitudinal changes of cartilage <span><math><mrow><msub><mi>T</mi><mrow><mn>1</mn><mi>ρ</mi><mspace></mspace></mrow></msub></mrow></math></span> and <span><math><mrow><msub><mi>T</mi><mn>2</mn></msub></mrow></math></span> relaxation time measurements in hip-OA patients.</div></div><div><h3>Methods</h3><div>A calibration study compared two scanner data, Scanner-1 (GE Discovery MR750 3.0T) with unilateral acquisition protocol and Scanner-2 (GE Signa Premier 3.0T) with bilateral acquisition protocol, using nine subjects(average age = 40.33 ± 13.53 years, 5 females), including one hip-OA subject. Quantified parameters from the Scanner-2 were adjusted using voxel-based relaxometry(VBR) and Z-score normalization to reduce the inter-scanner variability. Eighteen hip-OA Subjects (age = 53.11 ± 14.96 years, 12 females) were recruited to the longitudinal variability study from 2016, comprising five assessments at 1-year intervals. Baseline to 3rd-year data used unilateral acquisition with Scanner-1, while 4th-year data used bilateral acquisition with Scanner-2. A linear mixed-effects model(LME) assessed trajectory analyses, with acquisition year, age, sex, body mass index(BMI), and Kellgren-Lawrence(KL) score as predictor variables and cartilage mean <span><math><mrow><msub><mi>T</mi><mrow><mn>1</mn><mi>ρ</mi><mspace></mspace></mrow></msub></mrow></math></span> and <span><math><mrow><msub><mi>T</mi><mn>2</mn></msub></mrow></math></span> values as outcomes.</div></div><div><h3>Results</h3><div>VBR analysis after Z-score normalization showed that only a few of the whole cartilage voxels had significant differences in <span><math><mrow><msub><mi>T</mi><mrow><mn>1</mn><mi>ρ</mi><mspace></mspace></mrow></msub><mo>(</mo></mrow></math></span>femur-2.36 % and acetabular-3.23 %) and <span><math><mrow><msub><mi>T</mi><mn>2</mn></msub></mrow></math></span> (femur-2.30 % and acetabular-2.94 %) values between the scanners. The LME analysis showed that the BMI predictor variable was significantly correlated with the femur <span><math><mrow><msub><mi>T</mi><mrow><mn>1</mn><mi>ρ</mi><mspace></mspace></mrow></msub></mrow></math></span> (p < 0.0001) and <span><math><mrow><msub><mi>T</mi><mn>2</mn></msub></mrow></math></span> (p < 0.0001) and acetabular <span><math><mrow><msub><mi>T</mi><mrow><mn>1</mn><mi>ρ</mi><mspace></mspace></mrow></msub></mrow></math></span> (p < 0.0001) and <span><math><mrow><msub><mi>T</mi><mn>2</mn></msub></mrow></math></span> (p < 0.0001) cartilage region.</div></div><div><h3>Conclusion</h3><div>The calibration study demonstrated the effectiveness of VBR and Z-score normalization in reducing inter-scanner variability. The longitudinal study revealed a significant correlation between <span><math><mrow><msub><mi>T</mi><mrow><mn>1</mn><mi>ρ</mi><mspace></mspace></mrow></msub></mrow></math></span> and <span><math><mrow><msub><mi>T</mi><mn>2</mn></msub></mrow></math></span> values of the cartilage and BMI; also the <span><math><mrow><msub><mi>T</mi><mrow><mn>1</mn><mi>ρ</mi><mspace></mspace></mrow></msub></mrow></math></span> and <span><math><mrow><msub><mi>T</mi><mn>2</mn></msub></mrow></math></span> values increased over time in some of the cartilage subregions.</div></div>","PeriodicalId":74377,"journal":{"name":"Osteoarthritis and cartilage open","volume":"6 4","pages":"Article 100538"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Osteoarthritis and cartilage open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665913124001055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To study the longitudinal changes of cartilage and relaxation time measurements in hip-OA patients.
Methods
A calibration study compared two scanner data, Scanner-1 (GE Discovery MR750 3.0T) with unilateral acquisition protocol and Scanner-2 (GE Signa Premier 3.0T) with bilateral acquisition protocol, using nine subjects(average age = 40.33 ± 13.53 years, 5 females), including one hip-OA subject. Quantified parameters from the Scanner-2 were adjusted using voxel-based relaxometry(VBR) and Z-score normalization to reduce the inter-scanner variability. Eighteen hip-OA Subjects (age = 53.11 ± 14.96 years, 12 females) were recruited to the longitudinal variability study from 2016, comprising five assessments at 1-year intervals. Baseline to 3rd-year data used unilateral acquisition with Scanner-1, while 4th-year data used bilateral acquisition with Scanner-2. A linear mixed-effects model(LME) assessed trajectory analyses, with acquisition year, age, sex, body mass index(BMI), and Kellgren-Lawrence(KL) score as predictor variables and cartilage mean and values as outcomes.
Results
VBR analysis after Z-score normalization showed that only a few of the whole cartilage voxels had significant differences in femur-2.36 % and acetabular-3.23 %) and (femur-2.30 % and acetabular-2.94 %) values between the scanners. The LME analysis showed that the BMI predictor variable was significantly correlated with the femur (p < 0.0001) and (p < 0.0001) and acetabular (p < 0.0001) and (p < 0.0001) cartilage region.
Conclusion
The calibration study demonstrated the effectiveness of VBR and Z-score normalization in reducing inter-scanner variability. The longitudinal study revealed a significant correlation between and values of the cartilage and BMI; also the and values increased over time in some of the cartilage subregions.