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Li X, Kim J, Yang M, Ok AH, Zbýň Š, Link TM, Majumdar S, Ma CB, Spindler KP, Winalski CS. Cartilage compositional MRI-a narrative review of technical development and clinical applications over the past three decades. Skeletal Radiol 2024:10.1007/s00256-024-04734-z. [PMID: 38980364 DOI: 10.1007/s00256-024-04734-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 06/11/2024] [Accepted: 06/13/2024] [Indexed: 07/10/2024]
Abstract
Articular cartilage damage and degeneration are among hallmark manifestations of joint injuries and arthritis, classically osteoarthritis. Cartilage compositional MRI (Cart-C MRI), a quantitative technique, which aims to detect early-stage cartilage matrix changes that precede macroscopic alterations, began development in the 1990s. However, despite the significant advancements over the past three decades, Cart-C MRI remains predominantly a research tool, hindered by various technical and clinical hurdles. This paper will review the technical evolution of Cart-C MRI, delve into its clinical applications, and conclude by identifying the existing gaps and challenges that need to be addressed to enable even broader clinical application of Cart-C MRI.
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Affiliation(s)
- Xiaojuan Li
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, 9500 Euclid Avenue, ND20, Cleveland, OH, 44195, USA.
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA.
| | - Jeehun Kim
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, 9500 Euclid Avenue, ND20, Cleveland, OH, 44195, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Mingrui Yang
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, 9500 Euclid Avenue, ND20, Cleveland, OH, 44195, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ahmet H Ok
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, 9500 Euclid Avenue, ND20, Cleveland, OH, 44195, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Štefan Zbýň
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, 9500 Euclid Avenue, ND20, Cleveland, OH, 44195, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Thomas M Link
- Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Sharmilar Majumdar
- Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - C Benjamin Ma
- Department of Orthopaedic Surgery, UCSF, San Francisco, CA, USA
| | - Kurt P Spindler
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, 9500 Euclid Avenue, ND20, Cleveland, OH, 44195, USA
- Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA
| | - Carl S Winalski
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, 9500 Euclid Avenue, ND20, Cleveland, OH, 44195, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA
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Pala S, Paajanen A, Ristaniemi A, Nippolainen E, Afara IO, Nykänen O, Nissi MJ. Measurement of T 1ρ dispersion with compressed sensing and magnetization prepared radial balanced steady-state free precession in spontaneous human osteoarthritis. Magn Reson Med 2024. [PMID: 38953429 DOI: 10.1002/mrm.30206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/14/2024] [Accepted: 06/14/2024] [Indexed: 07/04/2024]
Abstract
PURPOSE To assess the potential for accelerating continuous-wave (CW) T1ρ dispersion measurement with compressed sensing approach via studying the effect that the data reduction has on the ability to detect differences between intact and degenerated articular cartilage with different spin-lock amplitudes and to assess quantitative bias due to acceleration. METHODS Osteochondral plugs (n = 27, 4 mm diameter) from femur (n = 14) and tibia (n = 13) regions from human cadaver knee joints were obtained from commercial biobank (Science Care, USA) under Ethical permission 134/2015. MRI of specimens was performed at 9.4T with magnetization prepared radial balanced SSFP (bSSFP) readout sequence, and the CWT1ρ relaxation time maps were computed from the measured data. The relaxation time maps were evaluated in the cartilage zones for different acceleration factors. For reference, Osteoarthritis Research Society International (OARSI) grading and biomechanical measurements were performed and correlated with the MRI findings. RESULTS Four-fold acceleration of CWT1ρ dispersion measurement by compressed sensing approach was feasible without meaningful loss in the sensitivity to osteoarthritic (OA) changes within the articular cartilage. Differences were significant between intact and OA groups in the superficial and transitional zones, and CWT1ρ correlated moderately with the reference measurements (0.3 < r < 0.7). CONCLUSION CWT1ρ was able to differentiate between intact and OA cartilage even with four-fold acceleration. This indicates that acceleration of CWT1ρ dispersion measurement by compressed sensing approach is feasible with negligible loss in the sensitivity to osteoarthritic changes in articular cartilage.
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Grants
- 780598 Horizon 2020 Framework Programme
- H2020-ICT-2017-1 Horizon 2020 Framework Programme
- 358944 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 315820 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 324529 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 324994 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 325146 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 348410 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 352666 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 354693 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 357787 Research Council of Finland (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling Grant)
- 240130 Sigrid Jusélius Foundation
- Olvi Foundation
- Päivikki and Sakari Sohlberg Foundation
- Instrumentarium Science foundation
- 65231459 Finnish Cultural Foundation, North-Savonia Regional Fund
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Affiliation(s)
- S Pala
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - A Paajanen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - A Ristaniemi
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - E Nippolainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - I O Afara
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - O Nykänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - M J Nissi
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
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Ma Y, Carl M, Tang Q, Moazamian D, Athertya JS, Jang H, Bukata SV, Chung CB, Chang EY, Du J. Whole knee joint mapping using a phase modulated UTE adiabatic T 1ρ (PM-UTE-AdiabT 1ρ ) sequence. Magn Reson Med 2024; 91:896-910. [PMID: 37755319 PMCID: PMC10843531 DOI: 10.1002/mrm.29871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/14/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023]
Abstract
PURPOSE To develop a 3D phase modulated UTE adiabatic T1ρ (PM-UTE-AdiabT1ρ ) sequence for whole knee joint mapping on a clinical 3 T scanner. METHODS This new sequence includes six major features: (1) a magnetization reset module, (2) a train of adiabatic full passage pulses for spin locking, (3) a phase modulation scheme (i.e., RF cycling pair), (4) a fat saturation module, (5) a variable flip angle scheme, and (6) a 3D UTE Cones sequence for data acquisition. A simple exponential fitting was used for T1ρ quantification. Phantom studies were performed to investigate PM-UTE-AdiabT1ρ 's sensitivity to compositional changes and reproducibility as well as its correlation with continuous wave-T1ρ measurement. The PM-UTE-AdiabT1ρ technique was then applied to five ex vivo and five in vivo normal knees to measure T1ρ values of femoral cartilage, meniscus, posterior cruciate ligament, anterior cruciate ligament, patellar tendon, and muscle. RESULTS The phantom study demonstrated PM-UTE-AdiabT1ρ 's high sensitivity to compositional changes, its high reproducibility, and its strong linear correlation with continuous wave-T1ρ measurement. The ex vivo and in vivo knee studies demonstrated average T1ρ values of 105.6 ± 8.4 and 77.9 ± 3.9 ms for the femoral cartilage, 39.2 ± 5.1 and 30.1 ± 2.2 ms for the meniscus, 51.6 ± 5.3 and 29.2 ± 2.4 ms for the posterior cruciate ligament, 79.0 ± 9.3 and 52.0 ± 3.1 ms for the anterior cruciate ligament, 19.8 ± 4.5 and 17.0 ± 1.8 ms for the patellar tendon, and 91.1 ± 8.8 and 57.6 ± 2.8 ms for the muscle, respectively. CONCLUSION The 3D PM-UTE-AdiabT1ρ sequence allows volumetric T1ρ assessment for both short and long T2 tissues in the knee joint on a clinical 3 T scanner.
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Affiliation(s)
- Yajun Ma
- Department of Radiology, University of California San Diego, CA, USA
| | | | - Qingbo Tang
- Department of Radiology, University of California San Diego, CA, USA
- Radiology Service, Veterans Affairs San Diego Healthcare System, CA, USA
| | - Dina Moazamian
- Department of Radiology, University of California San Diego, CA, USA
| | - Jiyo S Athertya
- Department of Radiology, University of California San Diego, CA, USA
| | - Hyungseok Jang
- Department of Radiology, University of California San Diego, CA, USA
| | - Susan V Bukata
- Department of Orthopaedic Surgery, University of California San Diego, CA, USA
| | - Christine B Chung
- Department of Radiology, University of California San Diego, CA, USA
- Radiology Service, Veterans Affairs San Diego Healthcare System, CA, USA
| | - Eric Y Chang
- Department of Radiology, University of California San Diego, CA, USA
- Radiology Service, Veterans Affairs San Diego Healthcare System, CA, USA
| | - Jiang Du
- Department of Radiology, University of California San Diego, CA, USA
- Radiology Service, Veterans Affairs San Diego Healthcare System, CA, USA
- Department of Bioengineering, University of California San Diego, CA, USA
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