C D Jordan1, E J McWalter2, U D Monu3, R D Watkins4, W Chen5, N K Bangerter6, B A Hargreaves7, G E Gold8. 1. Department of Radiology, Stanford University, Stanford, CA, United States; Department of Bioengineering, Stanford University, Stanford, CA, United States. Electronic address: cjordan@alumni.stanford.edu. 2. Department of Radiology, Stanford University, Stanford, CA, United States. Electronic address: mcwalter@stanford.edu. 3. Department of Radiology, Stanford University, Stanford, CA, United States; Department of Electrical Engineering, Stanford University, Stanford, CA, United States. Electronic address: udmonu@stanford.edu. 4. Department of Radiology, Stanford University, Stanford, CA, United States. Electronic address: watkinsr@stanford.edu. 5. GE Applied Science Laboratory, Menlo Park, CA, United States. Electronic address: weitian.chen@ge.com. 6. Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT, United States. Electronic address: nealb@ee.byu.edu. 7. Department of Radiology, Stanford University, Stanford, CA, United States; Department of Bioengineering, Stanford University, Stanford, CA, United States; Department of Electrical Engineering, Stanford University, Stanford, CA, United States. Electronic address: bah@stanford.edu. 8. Department of Radiology, Stanford University, Stanford, CA, United States; Department of Bioengineering, Stanford University, Stanford, CA, United States; Department of Orthopaedic Surgery, Stanford University, Stanford, CA, United States. Electronic address: gold@stanford.edu.
Abstract
OBJECTIVE: To measure the variability of T1ρ relaxation times using CubeQuant, T2 relaxation times using quantitative double echo in steady state (DESS), and normalized sodium signals using 3D cones sodium magnetic resonance imaging (MRI) of knee cartilage in vivo at 3 T. DESIGN: Eight healthy subjects were scanned at 3 T at baseline, 1 day, 5 months, and 1 year. Ten regions of interest (ROIs) of knee cartilage were segmented in the medial and lateral compartments of each subject's knee. T1ρ and T2 relaxation times and normalized sodium signals were measured and the root-mean-square coefficient of variation (CVRMS) was calculated. Intra-subject variability was measured over short, moderate and long-term, as well as intra-observer and inter-observer variability. RESULTS: The average intra-subject CVRMS measurements over short, moderate, and long-term time periods were 4.6%, 6.1%, and 6.0% for the T1ρ measurements, 6.4%, 9.3%, and 10.7% for the T2 measurements and 11.3%, 11.6%, and 12.9% for the sodium measurements, respectively. The average CVRMS measurements for intra-observer and inter-observer segmentation were 3.8% and 5.7% for the T1ρ measurements, 4.7% and 6.7% for the T2 measurements, and 8.1% and 11.4% for the sodium measurements, respectively. CONCLUSIONS: These CVRMS measurements are substantially lower than previously measured changes expected in patients with advanced osteoarthritis compared to healthy volunteers, suggesting that CubeQuant T1ρ, quantitative DESS T2 and 3D cones sodium measurements are sufficiently sensitive for in vivo cartilage studies.
OBJECTIVE: To measure the variability of T1ρ relaxation times using CubeQuant, T2 relaxation times using quantitative double echo in steady state (DESS), and normalized sodium signals using 3D cones sodium magnetic resonance imaging (MRI) of knee cartilage in vivo at 3 T. DESIGN: Eight healthy subjects were scanned at 3 T at baseline, 1 day, 5 months, and 1 year. Ten regions of interest (ROIs) of knee cartilage were segmented in the medial and lateral compartments of each subject's knee. T1ρ and T2 relaxation times and normalized sodium signals were measured and the root-mean-square coefficient of variation (CVRMS) was calculated. Intra-subject variability was measured over short, moderate and long-term, as well as intra-observer and inter-observer variability. RESULTS: The average intra-subject CVRMS measurements over short, moderate, and long-term time periods were 4.6%, 6.1%, and 6.0% for the T1ρ measurements, 6.4%, 9.3%, and 10.7% for the T2 measurements and 11.3%, 11.6%, and 12.9% for the sodium measurements, respectively. The average CVRMS measurements for intra-observer and inter-observer segmentation were 3.8% and 5.7% for the T1ρ measurements, 4.7% and 6.7% for the T2 measurements, and 8.1% and 11.4% for the sodium measurements, respectively. CONCLUSIONS: These CVRMS measurements are substantially lower than previously measured changes expected in patients with advanced osteoarthritis compared to healthy volunteers, suggesting that CubeQuant T1ρ, quantitative DESS T2 and 3D cones sodium measurements are sufficiently sensitive for in vivo cartilage studies.
Authors: Andrew J Wheaton; Arijitt Borthakur; Erik M Shapiro; Ravinder R Regatte; Sarma V S Akella; J Bruce Kneeland; Ravinder Reddy Journal: Radiology Date: 2004-06 Impact factor: 11.105
Authors: Arijitt Borthakur; Andrew Wheaton; Sridhar R Charagundla; Erik M Shapiro; Ravinder R Regatte; Sarma V S Akella; J Bruce Kneeland; Ravinder Reddy Journal: J Magn Reson Imaging Date: 2003-06 Impact factor: 4.813
Authors: Lauren E Watkins; Elka B Rubin; Valentina Mazzoli; Scott D Uhlrich; Arjun D Desai; Marianne Black; Gabe K Ho; Scott L Delp; Marc E Levenston; Gary S Beaupré; Garry E Gold; Feliks Kogan Journal: NMR Biomed Date: 2020-05-23 Impact factor: 4.044
Authors: U D Monu; C D Jordan; B L Samuelson; B A Hargreaves; G E Gold; E J McWalter Journal: Osteoarthritis Cartilage Date: 2016-10-05 Impact factor: 6.576
Authors: Alejandra Duarte; Amparo Ruiz; Uran Ferizi; Jenny Bencardino; Steven B Abramson; Jonathan Samuels; Svetlana Krasnokutsky-Samuels; José G Raya Journal: Eur Radiol Date: 2018-10-31 Impact factor: 5.315
Authors: Hollis A Crowder; Valentina Mazzoli; Marianne S Black; Lauren E Watkins; Feliks Kogan; Brian A Hargreaves; Marc E Levenston; Garry E Gold Journal: J Orthop Res Date: 2021-02-03 Impact factor: 3.494