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Löffler MT, Akkaya Z, Bhattacharjee R, Link TM. Biomarkers of Cartilage Composition. Semin Musculoskelet Radiol 2024; 28:26-38. [PMID: 38330968 DOI: 10.1055/s-0043-1776429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Magnetic resonance imaging (MRI) has significantly advanced the understanding of osteoarthritis (OA) because it enables visualization of noncalcified tissues. Cartilage is avascular and nurtured by diffusion, so it has a very low turnover and limited capabilities of repair. Consequently, prevention of structural and detection of premorphological damage is key in maintaining cartilage health. The integrity of cartilage composition and ultrastructure determines its mechanical properties but is not accessible to morphological imaging. Therefore, various techniques of compositional MRI with and without use of intravenous contrast medium have been developed. Spin-spin relaxation time (T2) and spin-lattice relaxation time constant in rotating frame (T1rho) mapping, the most studied cartilage biomarkers, were included in the recent standardization effort by the Quantitative Imaging Biomarkers Alliance (QIBA) that aims to make compositional MRI of cartilage clinically feasible and comparable. Additional techniques that are less frequently used include ultrashort echo time with T2*, delayed gadolinium-enhanced MRI of cartilage (dGEMRIC), glycosaminoglycan concentration by chemical exchange-dependent saturation transfer (gagCEST), sodium imaging, and diffusion-weighted MRI.
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Affiliation(s)
- Maximilian T Löffler
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg im Breisgau, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Zehra Akkaya
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
- Department of Radiology, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Rupsa Bhattacharjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Thomas M Link
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
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Nakagawa Y, Mukai S, Sakai S, Nakamura R, Takahashi M, Nakagawa S. Preoperative diagnosis of knee cartilage, meniscal, and ligament injuries by magnetic resonance imaging. J Exp Orthop 2023; 10:47. [PMID: 37079120 PMCID: PMC10119346 DOI: 10.1186/s40634-023-00595-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 03/07/2023] [Indexed: 04/21/2023] Open
Abstract
PURPOSE The purpose of the study was to report on the current accuracy measures specific to 1.5-Tesla MRI of the knee in the patient population prone to injuries of the anterior cruciate ligament (ACL), the menisci, and the articular cartilage. METHODS We accrued patients between January 2018 through August 2021 who underwent a preoperative MRI and were diagnosed with an articular cartilage injury either due to unevenness of articular cartilage in T2-weighted sequences or due to the irregularity of subchondral bone in T1-weighted sequences. All patients were treated arthroscopically. Sensitivity, specificity, and accuracy were calculated for the detection of ACL, meniscus, and cartilage injuries. A P-value of < 0.05 represented statistical significance. RESULTS One-hundred and forty-seven cases which included 150 knee joints were enrolled in this study. The mean age at the time of surgery was 42.9 years-old. The sensitivity in the diagnosis of ACL injuries was significantly greater than that in the diagnosis of cartilage injuries (P = 0.0083). The ratios of the equality of operative indication in 6 recipient sites were found to be between 90.0% and 96.0%. The diagnostic critical point was within a 1 cm in diameter. CONCLUSION The diagnostic sensitivity in cartilage injuries was significantly lower than ones of ACL and meniscal injuries. The ratios of the equality of operative indication was determined to be between 90.0% and 96.0%, if we consider the unevenness of articular cartilage or the irregularity of subchondral bone. LEVEL OF EVIDENCE Level III, Prospective diagnostic cohort study.
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Affiliation(s)
- Yasuaki Nakagawa
- Clinical Research Center, National Hospital Organization Kyoto Medical Center, 1-1 Fukakusa Mukaihata-Cho, Fushimi-Ku, Kyoto, 612-8555, Japan.
- Department of Orthopaedic Surgery, Japan Baptist Medical Foundation, Kyoto, Japan.
| | - Shogo Mukai
- Department of Orthopaedic Surgery, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Sayako Sakai
- Department of Orthopaedic Surgery, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Ryota Nakamura
- Department of Orthopaedic Surgery, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Motoi Takahashi
- Department of Orthopaedic Surgery, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
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Chalian M, Li X, Guermazi A, Obuchowski NA, Carrino JA, Oei EH, Link TM. The QIBA Profile for MRI-based Compositional Imaging of Knee Cartilage. Radiology 2021; 301:423-432. [PMID: 34491127 PMCID: PMC8574057 DOI: 10.1148/radiol.2021204587] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 06/18/2021] [Accepted: 07/07/2021] [Indexed: 12/16/2022]
Abstract
MRI-based cartilage compositional analysis shows biochemical and microstructural changes at early stages of osteoarthritis before changes become visible with structural MRI sequences and arthroscopy. This could help with early diagnosis, risk assessment, and treatment monitoring of osteoarthritis. Spin-lattice relaxation time constant in rotating frame (T1ρ) and T2 mapping are the MRI techniques best established for assessing cartilage composition. Only T2 mapping is currently commercially available, which is sensitive to water, collagen content, and orientation of collagen fibers, whereas T1ρ is more sensitive to proteoglycan content. Clinical application of cartilage compositional imaging is limited by high variability and suboptimal reproducibility of the biomarkers, which was the motivation for creating the Quantitative Imaging Biomarkers Alliance (QIBA) Profile for cartilage compositional imaging by the Musculoskeletal Biomarkers Committee of the QIBA. The profile aims at providing recommendations to improve reproducibility and to standardize cartilage compositional imaging. The QIBA Profile provides two complementary claims (summary statements of the technical performance of the quantitative imaging biomarkers that are being profiled) regarding the reproducibility of biomarkers. First, cartilage T1ρ and T2 values are measurable at 3.0-T MRI with a within-subject coefficient of variation of 4%-5%. Second, a measured increase or decrease in T1ρ and T2 of 14% or more indicates a minimum detectable change with 95% confidence. If only an increase in T1ρ and T2 values is expected (progressive cartilage degeneration), then an increase of 12% represents a minimum detectable change over time. The QIBA Profile provides recommendations for clinical researchers, clinicians, and industry scientists pertaining to image data acquisition, analysis, and interpretation and assessment procedures for T1ρ and T2 cartilage imaging and test-retest conformance. This special report aims to provide the rationale for the proposed claims, explain the content of the QIBA Profile, and highlight the future needs and developments for MRI-based cartilage compositional imaging for risk prediction, early diagnosis, and treatment monitoring of osteoarthritis.
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Affiliation(s)
- Majid Chalian
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Xiaojuan Li
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Ali Guermazi
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Nancy A. Obuchowski
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - John A. Carrino
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Edwin H. Oei
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Thomas M. Link
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - for the RSNA QIBA MSK Biomarker Committee
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
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Zhao X, Ruan J, Tang H, Li J, Shi Y, Li M, Li S, Xu C, Lu Q, Dai C. Multi-compositional MRI evaluation of repair cartilage in knee osteoarthritis with treatment of allogeneic human adipose-derived mesenchymal progenitor cells. Stem Cell Res Ther 2019; 10:308. [PMID: 31639063 PMCID: PMC6805685 DOI: 10.1186/s13287-019-1406-7] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 08/21/2019] [Accepted: 09/03/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND We used multimodal compositional magnetic resonance imaging (MRI) techniques, combined with clinical outcomes, to differentiate the alternations of composition in repair cartilage with allogeneic human adipose-derived mesenchymal progenitor cells (haMPCs) in knee osteoarthritis (KOA) patients. METHODS Eighteen patients participated a phase I/IIa clinical trial. All patients were divided randomly into three groups with intra-articular injections of haMPCs: the low-dose (1.0 × 107 cells), mid-dose (2.0 × 107), and high-dose (5.0 × 107) groups with six patients each. Compositional MRI examinations and clinical evaluations were performed at different time points. RESULTS Significant differences were observed in quantitative T1rho, T2, T2star, R2star, and ADC measurements in patients of three dose groups, suggesting a possible compositional changes of cartilage with the treatment of allogeneic haMPCs. Also significant reduction in WOMAC and SF-36 scores showed the symptoms might be alleviated to some extent with this new treatment. As regards sensibilities of multi-parametric mappings to detect compositional or structural changes of cartilage, T1rho mapping was most sensitive to differentiate difference between three dose groups. CONCLUSIONS These results showed that multi-compositional MRI sequences might be an effective tool to evaluate the promotion of the repair of cartilage with allogeneic haMPCs by providing information of compositional alterations of cartilage. TRIAL REGISTRATION Clinicaltrials, NCT02641860 . Registered 3 December 2015.
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Affiliation(s)
- Xinxin Zhao
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Jingjing Ruan
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Hui Tang
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Jia Li
- Department of Rheumatology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Yingxuan Shi
- Cellular Biomedicine Group, Inc., No. 85 Faladi Road, Building 3, Zhangjiang, Pudong New Area, Shanghai, 201210, China
| | - Meng Li
- Cellular Biomedicine Group, Inc., No. 85 Faladi Road, Building 3, Zhangjiang, Pudong New Area, Shanghai, 201210, China
| | - Suke Li
- Cellular Biomedicine Group, Inc., No. 85 Faladi Road, Building 3, Zhangjiang, Pudong New Area, Shanghai, 201210, China
| | - Cuili Xu
- Cellular Biomedicine Group, Inc., No. 85 Faladi Road, Building 3, Zhangjiang, Pudong New Area, Shanghai, 201210, China
| | - Qing Lu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China.
| | - Chengxiang Dai
- Cellular Biomedicine Group, Inc., No. 85 Faladi Road, Building 3, Zhangjiang, Pudong New Area, Shanghai, 201210, China.
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MacKay JW, Low SBL, Smith TO, Toms AP, McCaskie AW, Gilbert FJ. Systematic review and meta-analysis of the reliability and discriminative validity of cartilage compositional MRI in knee osteoarthritis. Osteoarthritis Cartilage 2018; 26:1140-1152. [PMID: 29550400 DOI: 10.1016/j.joca.2017.11.018] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 10/16/2017] [Accepted: 11/14/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To assess reliability and discriminative validity of cartilage compositional magnetic resonance imaging (MRI) in knee osteoarthritis (OA). DESIGN The study was carried out per PRISMA recommendations. We searched MEDLINE and EMBASE (1974 - present) for eligible studies. We performed qualitative synthesis of reliability data. Where data from at least two discrimination studies were available, we estimated pooled standardized mean difference (SMD) between subjects with and without OA. Discrimination analyses compared controls and subjects with mild OA (Kellgren-Lawrence (KL) grade 1-2), severe OA (KL grade 3-4) and OA not otherwise specified (NOS) where not possible to stratify. We assessed quality of the evidence using Quality Appraisal of Diagnostic Reliability (QAREL) and Quality Assessment of Diagnostic Accuracy (QUADAS-2) tools. RESULTS Fifty-eight studies were included in the reliability analysis and 26 studies were included in the discrimination analysis, with data from a total of 2,007 knees. Intra-observer, inter-observer and test-retest reliability of compositional techniques were excellent with most intraclass correlation coefficients >0.8 and coefficients of variation <10%. T1rho and T2 relaxometry were significant discriminators between subjects with mild OA and controls, and between subjects with OA (NOS) and controls (P < 0.001). T1rho showed best discrimination for mild OA (SMD [95% CI] = 0.73 [0.40 to 1.06], P < 0.001) and OA (NOS) (0.60 [0.41 to 0.80], P < 0.001). Quality of evidence was moderate for both parts of the review. CONCLUSIONS Cartilage compositional MRI techniques are reliable and, in the case of T1rho and T2 relaxometry, can discriminate between subjects with OA and controls.
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Affiliation(s)
- J W MacKay
- Department of Radiology, University of Cambridge, Cambridge, UK.
| | - S B L Low
- Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK.
| | - T O Smith
- School of Health Sciences, University of East Anglia, Norwich, UK.
| | - A P Toms
- Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK.
| | - A W McCaskie
- Division of Trauma & Orthopaedics, Department of Surgery, University of Cambridge, Cambridge UK.
| | - F J Gilbert
- Department of Radiology, University of Cambridge, Cambridge, UK.
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Kester BS, Carpenter PM, Yu HJ, Nozaki T, Kaneko Y, Yoshioka H, Schwarzkopf R. T1ρ/T2 mapping and histopathology of degenerative cartilage in advanced knee osteoarthritis. World J Orthop 2017; 8:350-356. [PMID: 28473964 PMCID: PMC5396021 DOI: 10.5312/wjo.v8.i4.350] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 12/11/2016] [Accepted: 01/03/2017] [Indexed: 02/06/2023] Open
Abstract
AIM To investigate whether normal thickness cartilage in osteoarthritic knees demonstrate depletion of proteoglycan or collagen content compared to healthy knees.
METHODS Magnetic resonance (MR) images were acquired from 5 subjects scheduled for total knee arthroplasty (TKA) (mean age 70 years) and 20 young healthy control subjects without knee pain (mean age 28.9 years). MR images of T1ρ mapping, T2 mapping, and fat suppressed proton-density weighted sequences were obtained. Following TKA each condyle was divided into 4 parts (distal medial, posterior medial, distal lateral, posterior lateral) for cartilage analysis. Twenty specimens (bone and cartilage blocks) were examined. For each joint, the degree and extent of cartilage destruction was determined using the Osteoarthritis Research Society International cartilage histopathology assessment system. In magnetic resonance imaging (MRI) analysis, 2 readers performed cartilage segmentation for T1ρ/T2 values and cartilage thickness measurement.
RESULTS Eleven areas in MRI including normal or near normal cartilage thickness were selected. The corresponding histopathological sections demonstrated mild to moderate osteoarthritis (OA). There was no significant difference in cartilage thickness in MRI between control and advanced OA samples [medial distal condyle, P = 0.461; medial posterior condyle (MPC), P = 0.352; lateral distal condyle, P = 0.654; lateral posterior condyle, P = 0.550], suggesting arthritic specimens were morphologically similar to normal or early staged degenerative cartilage. Cartilage T2 and T1ρ values from the MPC were significantly higher among the patients with advanced OA (P = 0.043). For remaining condylar samples there was no statistical difference in T2 and T1ρ values between cases and controls but there was a trend towards higher values in advanced OA patients.
CONCLUSION Though cartilage is morphologically normal or near normal, degenerative changes exist in advanced OA patients. These changes can be detected with T2 and T1ρ MRI techniques.
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Nacey NC, Geeslin MG, Miller GW, Pierce JL. Magnetic resonance imaging of the knee: An overview and update of conventional and state of the art imaging. J Magn Reson Imaging 2017; 45:1257-1275. [PMID: 28211591 DOI: 10.1002/jmri.25620] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2016] [Accepted: 11/04/2016] [Indexed: 12/28/2022] Open
Abstract
Magnetic resonance imaging (MRI) has become the preferred modality for imaging the knee to show pathology and guide patient management and treatment. The knee is one of the most frequently injured joints, and knee pain is a pervasive difficulty that can affect all age groups. Due to the diverse pathology, complex anatomy, and a myriad of injury mechanisms of the knee, the MRI knee protocol and sequences should ensure detection of both soft tissue and osseous structures in detail and with accuracy. The knowledge of knee anatomy and the normal or injured MRI appearance of these key structures are critical for precise diagnosis. Advances in MRI technology provide the imaging necessary to obtain high-resolution images to evaluate menisci, ligaments, and tendons. Furthermore, recent advances in MRI techniques allow for improved imaging in the postoperative knee and metal artifact reduction, tumor imaging, cartilage evaluation, and visualization of nerves. As treatment and operative management techniques evolve, understanding the correct application of these advancements in MRI of the knee will prove to be valuable to clinical practice. LEVEL OF EVIDENCE 5 J. MAGN. RESON. IMAGING 2017;45:1257-1275.
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Affiliation(s)
- Nicholas C Nacey
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Matthew G Geeslin
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Grady Wilson Miller
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
| | - Jennifer L Pierce
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA
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Abstract
Context: Osteoarthritis (OA) is a common, worldwide disorder. Magnetic resonance (MR) imaging can directly and noninvasively evaluate articular cartilage and has emerged as an essential tool in the study of OA. Evidence Acquisition: A PubMed search was performed using the keywords quantitative MRI and cartilage. No limits were set on the range of years searched. Articles were reviewed for relevance with an emphasis on in vivo studies performed at 3 tesla. Study Design: Clinical review. Level of Evidence: Level 4. Results: T2, T2*, T1 (particularly when measured after exogenous contrast administration, such as with the delayed gadolinium-enhanced MR imaging of cartilage [dGEMRIC] technique), and T1ρ are among the most widely utilized quantitative MR imaging techniques to evaluate cartilage and have been implemented in various patient cohorts. Existing challenges include reproducibility of results, insufficient consensus regarding optimal sequences and parameters, and interpretation of values. Conclusion: Quantitative assessment of cartilage using MR imaging techniques likely represents the best opportunity to identify early cartilage degeneration and to follow patients after treatment. Despite existing challenges, ongoing work and unique approaches have shown exciting and promising results.
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Affiliation(s)
- Eric Y Chang
- Radiology Service, VA San Diego Healthcare System, San Diego, California Department of Radiology, University of California, San Diego Medical Center, San Diego, California
| | - Yajun Ma
- Department of Radiology, University of California, San Diego Medical Center, San Diego, California
| | - Jiang Du
- Department of Radiology, University of California, San Diego Medical Center, San Diego, California
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9
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Nishioka H, Nakamura E, Hirose J, Okamoto N, Yamabe S, Mizuta H. MRI T1ρ and T2 mapping for the assessment of articular cartilage changes in patients with medial knee osteoarthritis after hemicallotasis osteotomy. Bone Joint Res 2016; 5:294-300. [PMID: 27421285 PMCID: PMC4969631 DOI: 10.1302/2046-3758.57.bjr-2016-0057.r1] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 06/09/2016] [Indexed: 02/05/2023] Open
Abstract
Objectives The purpose of this study was to clarify the appearance of the reparative tissue on the articular surface and to analyse the properties of the reparative tissue after hemicallotasis osteotomy (HCO) using MRI T1ρ and T2 mapping. Methods Coronal T1ρ and T2 mapping and three-dimensional gradient-echo images were obtained from 20 subjects with medial knee osteoarthritis. We set the regions of interest (ROIs) on the full-thickness cartilage of the medial femoral condyle (MFC) and medial tibial plateau (MTP) of the knee and measured the cartilage thickness (mm) and T1ρ and T2 relaxation times (ms). Statistical analysis of time-dependent changes in the cartilage thickness and the T1ρ and T2 relaxation times was performed using one-way analysis of variance, and Scheffe’s test was employed for post hoc multiple comparison. Results The cartilage-like repair tissue appeared on the cartilage surface of the medial compartment post-operatively, and the cartilage thickness showed a significant increase between the pre-operative and one-year post-operative time points (MFC; p = 0.003, MTP; p < 0.001). The T1ρ values of the cartilage-like repair tissue showed no difference over time, however, the T2 values showed a significant decrease between the pre-operative and one-year post-operative time points (MFC; p = 0.004, MTP; p = 0.040). Conclusion This study clarified that the fibrocartilage-like repair tissue appeared on the articular surface of the medial compartment after HCO as evidenced by MRI T1ρ and T2 mapping. Cite this article: H. Nishioka, E. Nakamura, J. Hirose, N. Okamoto, S. Yamabe, H. Mizuta. MRI T1ρ and T2 mapping for the assessment of articular cartilage changes in patients with medial knee osteoarthritis after hemicallotasis osteotomy. Bone Joint Res 2016;5:294–300. DOI: 10.1302/2046-3758.57.BJR-2016-0057.R1.
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Affiliation(s)
- H Nishioka
- Department of Orthopaedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - E Nakamura
- Department of Orthopaedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - J Hirose
- Department of Medical Information Science and Administration Planning, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - N Okamoto
- Department of Orthopaedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - S Yamabe
- Department of Orthopaedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - H Mizuta
- Department of Orthopaedic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
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Bilateral cartilage T2 mapping 9 years after Mega-OATS implantation at the knee: a quantitative 3T MRI study. Osteoarthritis Cartilage 2015; 23:2119-2128. [PMID: 26115937 DOI: 10.1016/j.joca.2015.06.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Revised: 05/30/2015] [Accepted: 06/09/2015] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To evaluate morphological and quantitative MR findings 9 years after autograft transfer of the posterior femoral condyle (Mega-OATS) and to correlate these findings with clinical outcomes. Quantitative MR measurements were also obtained of the contralateral knee and the utility as reference standard was investigated. DESIGN Both knees of 20 patients with Mega-OATS osteochondral repair at the medial femoral condyle (MFC) were studied using 3T MRI 9 years after the procedure. MR-sequences included morphological sequences and a 2D multislice multiecho (MSME) spin echo (SE) sequence for quantitative cartilage T2 mapping. Cartilage segmentation was performed at the cartilage repair site and six additional knee compartments. Semi-quantitative MR observation of cartilage repair tissue (MOCART) scores and clinical Lysholm scores were obtained. Paired t-tests and Spearman correlations were used for statistical analysis. RESULTS Global T2-values were significantly higher at ipsilateral knees compared to contralateral knees (42.1 ± 3.0 ms vs 40.4 ± 2.6 ms, P = 0.018). T2-values of the Mega-OATS site correlated significantly with MOCART scores (R = -0.64, P = 0.006). The correlations between MOCART and Lysholm scores and between absolute T2-values and Lysholm scores were not significant (P > 0.05). However, higher T2 side-to-side differences at the femoral condyles correlated significantly with more severe clinical symptoms (medial, R = -0.53, P = 0.030; lateral, R = -0.51, P = 0.038). CONCLUSIONS Despite long-term survival, 9 years after Mega-OATS procedures, T2-values of the grafts were increased compared to contralateral knees. Clinical scores correlated best with T2 side-to-side differences of the femoral condyles, indicating that intraindividual adjustment may be beneficial for outcome evaluation.
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Wáng YXJ, Zhang Q, Li X, Chen W, Ahuja A, Yuan J. T1ρ magnetic resonance: basic physics principles and applications in knee and intervertebral disc imaging. Quant Imaging Med Surg 2015; 5:858-85. [PMID: 26807369 PMCID: PMC4700236 DOI: 10.3978/j.issn.2223-4292.2015.12.06] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 12/06/2015] [Indexed: 12/15/2022]
Abstract
T1ρ relaxation time provides a new contrast mechanism that differs from T1- and T2-weighted contrast, and is useful to study low-frequency motional processes and chemical exchange in biological tissues. T1ρ imaging can be performed in the forms of T1ρ-weighted image, T1ρ mapping and T1ρ dispersion. T1ρ imaging, particularly at low spin-lock frequency, is sensitive to B0 and B1 inhomogeneity. Various composite spin-lock pulses have been proposed to alleviate the influence of field inhomogeneity so as to reduce the banding-like spin-lock artifacts. T1ρ imaging could be specific absorption rate (SAR) intensive and time consuming. Efforts to address these issues and speed-up data acquisition are being explored to facilitate wider clinical applications. This paper reviews the T1ρ imaging's basic physic principles, as well as its application for cartilage imaging and intervertebral disc imaging. Compared to more established T2 relaxation time, it has been shown that T1ρ provides more sensitive detection of proteoglycan (PG) loss at early stages of cartilage degeneration. T1ρ has also been shown to provide more sensitive evaluation of annulus fibrosis (AF) degeneration of the discs.
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Wang VM, Karas V, Lee AS, Yin Z, Van Thiel GS, Hussey K, Sumner DR, Chubinskaya S, Magin RL, Verma NN, Romeo AA, Cole BJ. Assessment of glenoid chondral healing: comparison of microfracture to autologous matrix-induced chondrogenesis in a novel rabbit shoulder model. J Shoulder Elbow Surg 2015; 24:1789-800. [PMID: 26238005 PMCID: PMC4618188 DOI: 10.1016/j.jse.2015.06.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Revised: 05/19/2015] [Accepted: 06/01/2015] [Indexed: 02/01/2023]
Abstract
BACKGROUND Management of glenohumeral arthrosis in young patients is a considerable challenge, with a growing need for non-arthroplasty alternatives. The objectives of this study were to develop an animal model to study glenoid cartilage repair and to compare surgical repair strategies to promote glenoid chondral healing. METHODS Forty-five rabbits underwent unilateral removal of the entire glenoid articular surface and were divided into 3 groups--untreated defect (UD), microfracture (MFx), and MFx plus type I/III collagen scaffold (autologous matrix-induced chondrogenesis [AMIC])--for the evaluation of healing at 8 weeks (12 rabbits) and 32 weeks (33 rabbits) after injury. Contralateral shoulders served as unoperated controls. Tissue assessments included 11.7-T magnetic resonance imaging (long-term healing group only), equilibrium partitioning of an ionic contrast agent via micro-computed tomography (EPIC-μCT), and histologic investigation (grades on International Cartilage Repair Society II scoring system). RESULTS At 8 weeks, x-ray attenuation, thickness, and volume did not differ by treatment group. At 32 weeks, the T2 index (ratio of T2 values of healing to intact glenoids) was significantly lower for the MFx group relative to the AMIC group (P = .01) whereas the T1ρ index was significantly lower for AMIC relative to MFx (P = .01). The micro-computed tomography-derived repair tissue volume was significantly higher for MFx than for UD. Histologic investigation generally suggested inferior healing in the AMIC and UD groups relative to the MFx group, which exhibited improvements in both integration of repair tissue with subchondral bone and tidemark formation over time. DISCUSSION Improvements conferred by AMIC were limited to magnetic resonance imaging outcomes, whereas MFx appeared to promote increased fibrous tissue deposition via micro-computed tomography and more hyaline-like repair histologically. The findings from this novel model suggest that MFx promotes biologic resurfacing of full-thickness glenoid articular injury.
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Affiliation(s)
- Vincent M Wang
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Vasili Karas
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Andrew S Lee
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Ziying Yin
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA
| | | | - Kristen Hussey
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - D Rick Sumner
- Department of Anatomy and Cell Biology, Rush University Medical Center, Chicago, IL, USA
| | - Susan Chubinskaya
- Department of Biochemistry, Rush University Medical Center, Chicago, IL, USA
| | - Richard L Magin
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA
| | - Nikhil N Verma
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Anthony A Romeo
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Brian J Cole
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA.
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Guermazi A, Roemer FW, Alizai H, Winalski CS, Welsch G, Brittberg M, Trattnig S. State of the Art: MR Imaging after Knee Cartilage Repair Surgery. Radiology 2015; 277:23-43. [DOI: 10.1148/radiol.2015141146] [Citation(s) in RCA: 75] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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Zhu XQ, Xu YH, Liao CX, Liu WG, Cheng KK, Chen JX. Differentiating the extent of cartilage repair in rabbit ears using nonlinear optical microscopy. J Microsc 2015; 260:219-26. [PMID: 26366638 DOI: 10.1111/jmi.12288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2015] [Accepted: 06/09/2015] [Indexed: 11/26/2022]
Abstract
Nonlinear optical microscopy (NLOM) was used as a noninvasive and label-free tool to detect and quantify the extent of the cartilage recovery. Two cartilage injury models were established in the outer ears of rabbits that created a different extent of cartilage recovery based on the presence or absence of the perichondrium. High-resolution NLOM images were used to measure cartilage repair, specifically through spectral analysis and image texture. In contrast to a wound lacking a perichondrium, wounds with intact perichondria demonstrated significantly larger TPEF signals from cells and matrix, coarser texture indicating the more deposition of type I collagen. Spectral analysis of cells and matrix can reveal the matrix properties and cell growth. In addition, texture analysis of NLOM images showed significant differences in the distribution of cells and matrix of repaired tissues with or without perichondrium. Specifically, the decay length of autocorrelation coefficient based on TPEF images is 11.2 ± 1.1 in Wound 2 (with perichondrium) and 7.5 ± 2.0 in Wound 1 (without perichondrium), indicating coarser image texture and faster growth of cells in repaired tissues with perichondrium (p < 0.05). Moreover, the decay length of autocorrelation coefficient based on collagen SHG images also showed significant difference between Wound 2 and 1 (16.2 ± 1.2 vs. 12.2 ± 2.1, p < 0.05), indicating coarser image texture and faster deposition of collagen in repaired tissues with perichondrium (Wound 2). These findings suggest that NLOM is an ideal tool for studying cartilage repair, with potential applications in clinical medicine. NLOM can capture macromolecular details and distinguish between different extents of cartilage repair without the need for labelling agents.
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Affiliation(s)
- X Q Zhu
- Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, P. R. China
| | - Y H Xu
- Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, P. R. China
| | - C X Liao
- Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, P. R. China
| | - W G Liu
- Department of Orthopedics, Affiliated Union Hospital of Fujian Medical University, Fuzhou, P. R. China
| | - K K Cheng
- Institute of Bioproduct Development & Department of Bioprocess Engineering, Universiti Teknologi Malaysia, Johor, Malaysia
| | - J X Chen
- Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, P. R. China
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Tao H, Li H, Hua Y, Chen Z, Feng X, Chen S. Quantitative magnetic resonance imaging (MRI) evaluation of cartilage repair after microfracture treatment for full-thickness cartilage defect models in rabbit knee joints: correlations with histological findings. Skeletal Radiol 2015; 44:393-402. [PMID: 25425345 DOI: 10.1007/s00256-014-2062-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Revised: 09/04/2014] [Accepted: 11/11/2014] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To evaluate repair tissue (RT) after microfracture treatment for full-thickness cartilage defect models using quantitative MRI and investigate the correlations between MRI and histological findings. MATERIALS AND METHODS The animal experiment was approved by the Animal Care and Use Committee of our college. Thirty-six full-thickness cartilage defect models in rabbit knee joints were assigned to the microfracture or joint debridement group (as control). Each group consisted of 3-week, 5-week, and 7-week subgroups. MR imaging, including a three-dimensional double-echo steady-state sequence (3D-DESS), and T2 mapping were performed at 3, 5, and 7 weeks postoperatively. The thickness and T2 indices of RT were calculated. After MRI scans at each time point, operation sites were removed to make hematoxylin-eosin (H&E)-stained sections. Histological results were evaluated using the modified O'Driscoll score system. Comparisons were made between the two groups with respect to the MRI and histological findings, and correlation analysis was performed within each group. RESULTS The thickness index and histological O'Driscoll score of RT in the two groups increased over time, while the T2 index decreased. The thickness index and histological O'Driscoll score of the microfracture group were higher than in the joint debridement group at each time point. The T2 index of the microfracture group was lower than in the joint debridement group at 3 weeks (P = 0.006), while it was higher than in the joint debridement group at 5 and 7 weeks (P = 0.025 and 0.025). The thickness index was positively correlated with the histological O'Driscoll score in both groups (microfracture: r s = 0.745, P < 0.001; joint debridement: r s = 0.680, P = 0.002). The T2 index was negatively correlated with the histological O'Driscoll score in both groups (microfracture: r s = -0.715, P = 0.002; joint debridement: r s = -0.826, P < 0.001). CONCLUSION Significant improvement over time after microfracture can be expected on the basis of the quantitative MRI finding and histological O'Driscoll score. MRI was correlated with the histological O'Driscoll score, which indicated that quantitative MRI 3D-DESS and T2 mapping could evaluate cartilage repair after microfracture as an effective noninvasive tool.
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Affiliation(s)
- Hongyue Tao
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, 200040, Shanghai, China
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Utility of T2 mapping and dGEMRIC for evaluation of cartilage repair after allograft chondrocyte implantation in a rabbit model. Osteoarthritis Cartilage 2015; 23:280-8. [PMID: 25450842 DOI: 10.1016/j.joca.2014.10.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Revised: 10/19/2014] [Accepted: 10/23/2014] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To investigate the effectiveness of quantitative Magnetic resonance imaging (MRI) for evaluating the quality of cartilage repair over time following allograft chondrocyte implantation using a three-dimensional scaffold for osteochondral lesions. DESIGN Thirty knees from 15 rabbits were analyzed. An osteochondral defect (diameter, 4 mm; depth, 1 mm) was created on the patellar groove of the femur in both legs. The defects were filled with a chondrocyte-seeded scaffold in the right knee and an empty scaffold in the left knee. Five rabbits each were euthanized at 4, 8, and 12 weeks and their knees were examined via macroscopic inspection, histological and biochemical analysis, and quantitative MRI (T2 mapping and dGEMRIC) to assess the state of tissue repair following allograft chondrocyte implantation with a three-dimensional scaffold for osteochondral lesions. RESULTS Comparatively good regenerative cartilage was observed both macroscopically and histologically. In both chondrocyte-seeded and control knees, the T2 values of repair tissues were highest at 4 weeks and showed a tendency to decrease with time. ΔR1 values of dGEMRIC also tended to decrease with time in both groups, and the mean ΔR1 was significantly lower in the CS-scaffold group than in the control group at all time points. ΔR1 = 1/r (R1post - R1pre), where r is the relaxivity of Gd-DTPA(2-), R1 = 1/T1 (longitudinal relaxation time). CONCLUSION T2 mapping and dGEMRIC were both effective for evaluating tissue repair after allograft chondrocyte implantation. ΔR1 values of dGEMRIC represented good correlation with histologically and biochemically even at early stages after the implantation.
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Kijowski R, Chaudhary R. Quantitative magnetic resonance imaging of the articular cartilage of the knee joint. Magn Reson Imaging Clin N Am 2014; 22:649-69. [PMID: 25442027 DOI: 10.1016/j.mric.2014.07.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Osteoarthritis is characterized by a decrease in the proteoglycan content and disruption of the highly organized collagen fiber network of articular cartilage. Various quantitative magnetic resonance imaging techniques have been developed for noninvasive assessment of the proteoglycan and collagen components of cartilage. These techniques have been extensively used in clinical practice to detect early cartilage degeneration and in osteoarthritis research studies to monitor disease-related and treatment-related changes in cartilage over time. This article reviews the role of quantitative magnetic resonance imaging in evaluating the composition and ultrastructure of the articular cartilage of the knee joint.
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Affiliation(s)
- Richard Kijowski
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792-3252, USA.
| | - Rajeev Chaudhary
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792-3252, USA
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18
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Oei EHG, van Tiel J, Robinson WH, Gold GE. Quantitative radiologic imaging techniques for articular cartilage composition: toward early diagnosis and development of disease-modifying therapeutics for osteoarthritis. Arthritis Care Res (Hoboken) 2014; 66:1129-41. [PMID: 24578345 DOI: 10.1002/acr.22316] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2013] [Accepted: 02/18/2014] [Indexed: 12/19/2022]
Affiliation(s)
- Edwin H G Oei
- Stanford University, Stanford, California; Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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20
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Wang L, Regatte RR. T₁ρ MRI of human musculoskeletal system. J Magn Reson Imaging 2014; 41:586-600. [PMID: 24935818 DOI: 10.1002/jmri.24677] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Accepted: 06/03/2014] [Indexed: 12/21/2022] Open
Abstract
Magnetic resonance imaging (MRI) offers the direct visualization of the human musculoskeletal (MSK) system, especially all diarthrodial tissues including cartilage, bone, menisci, ligaments, tendon, hip, synovium, etc. Conventional MRI techniques based on T1 - and T2 -weighted, proton density (PD) contrast are inconclusive in quantifying early biochemically degenerative changes in MSK system in general and articular cartilage in particular. In recent years, quantitative MR parameter mapping techniques have been used to quantify the biochemical changes in articular cartilage, with a special emphasis on evaluating joint injury, cartilage degeneration, and soft tissue repair. In this article we focus on cartilage biochemical composition, basic principles of T1ρ MRI, implementation of T1ρ pulse sequences, biochemical validation, and summarize the potential applications of the T1ρ MRI technique in MSK diseases including osteoarthritis (OA), anterior cruciate ligament (ACL) injury, and knee joint repair. Finally, we also review the potential advantages, challenges, and future prospects of T1ρ MRI for widespread clinical translation.
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Affiliation(s)
- Ligong Wang
- Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Suzhou, Jiangsu, China
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21
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Cartilage repair surgery: outcome evaluation by using noninvasive cartilage biomarkers based on quantitative MRI techniques? BIOMED RESEARCH INTERNATIONAL 2014; 2014:840170. [PMID: 24877139 PMCID: PMC4024422 DOI: 10.1155/2014/840170] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2014] [Accepted: 03/25/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND New quantitative magnetic resonance imaging (MRI) techniques are increasingly applied as outcome measures after cartilage repair. OBJECTIVE To review the current literature on the use of quantitative MRI biomarkers for evaluation of cartilage repair at the knee and ankle. METHODS Using PubMed literature research, studies on biochemical, quantitative MR imaging of cartilage repair were identified and reviewed. RESULTS Quantitative MR biomarkers detect early degeneration of articular cartilage, mainly represented by an increasing water content, collagen disruption, and proteoglycan loss. Recently, feasibility of biochemical MR imaging of cartilage repair tissue and surrounding cartilage was demonstrated. Ultrastructural properties of the tissue after different repair procedures resulted in differences in imaging characteristics. T2 mapping, T1rho mapping, delayed gadolinium-enhanced MRI of cartilage (dGEMRIC), and diffusion weighted imaging (DWI) are applicable on most clinical 1.5 T and 3 T MR scanners. Currently, a standard of reference is difficult to define and knowledge is limited concerning correlation of clinical and MR findings. The lack of histological correlations complicates the identification of the exact tissue composition. CONCLUSIONS A multimodal approach combining several quantitative MRI techniques in addition to morphological and clinical evaluation might be promising. Further investigations are required to demonstrate the potential for outcome evaluation after cartilage repair.
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Li X, Majumdar S. Quantitative MRI of articular cartilage and its clinical applications. J Magn Reson Imaging 2013; 38:991-1008. [PMID: 24115571 DOI: 10.1002/jmri.24313] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2012] [Accepted: 06/21/2013] [Indexed: 12/27/2022] Open
Abstract
Cartilage is one of the most essential tissues for healthy joint function and is compromised in degenerative and traumatic joint diseases. There have been tremendous advances during the past decade using quantitative MRI techniques as a noninvasive tool for evaluating cartilage, with a focus on assessing cartilage degeneration during osteoarthritis (OA). In this review, after a brief overview of cartilage composition and degeneration, we discuss techniques that grade and quantify morphologic changes as well as the techniques that quantify changes in the extracellular matrix. The basic principles, in vivo applications, advantages, and challenges for each technique are discussed. Recent studies using the OA Initiative (OAI) data are also summarized. Quantitative MRI provides noninvasive measures of cartilage degeneration at the earliest stages of joint degeneration, which is essential for efforts toward prevention and early intervention in OA.
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Affiliation(s)
- Xiaojuan Li
- Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
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Matzat SJ, van Tiel J, Gold GE, Oei EHG. Quantitative MRI techniques of cartilage composition. Quant Imaging Med Surg 2013; 3:162-74. [PMID: 23833729 DOI: 10.3978/j.issn.2223-4292.2013.06.04] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2013] [Accepted: 06/24/2013] [Indexed: 12/15/2022]
Abstract
Due to aging populations and increasing rates of obesity in the developed world, the prevalence of osteoarthritis (OA) is continually increasing. Decreasing the societal and patient burden of this disease motivates research in prevention, early detection of OA, and novel treatment strategies against OA. One key facet of this effort is the need to track the degradation of tissues within joints, especially cartilage. Currently, conventional imaging techniques provide accurate means to detect morphological deterioration of cartilage in the later stages of OA, but these methods are not sensitive to the subtle biochemical changes during early disease stages. Novel quantitative techniques with magnetic resonance imaging (MRI) provide direct and indirect assessments of cartilage composition, and thus allow for earlier detection and tracking of OA. This review describes the most prominent quantitative MRI techniques to date-dGEMRIC, T2 mapping, T1rho mapping, and sodium imaging. Other, less-validated methods for quantifying cartilage composition are also described-Ultrashort echo time (UTE), gagCEST, and diffusion-weighted imaging (DWI). For each technique, this article discusses the proposed biochemical correlates, as well its advantages and limitations for clinical and research use. The article concludes with a detailed discussion of how the field of quantitative MRI has progressed to provide information regarding two specific patient populations through clinical research-patients with anterior cruciate ligament rupture and patients with impingement in the hip. While quantitative imaging techniques continue to rapidly evolve, specific challenges for each technique as well as challenges to clinical applications remain.
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Nieminen MT, Nissi MJ, Mattila L, Kiviranta I. Evaluation of chondral repair using quantitative MRI. J Magn Reson Imaging 2013; 36:1287-99. [PMID: 23165732 DOI: 10.1002/jmri.23644] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2011] [Accepted: 02/17/2012] [Indexed: 01/30/2023] Open
Abstract
Various quantitative magnetic resonance imaging (qMRI) biomarkers, including but not limited to parametric MRI mapping, semiquantitative evaluation, and morphological assessment, have been successfully applied to assess cartilage repair in both animal and human studies. Through the interaction between interstitial water and constituent macromolecules the compositional and structural properties of cartilage can be evaluated. In this review a comprehensive view of a variety of quantitative techniques, particularly those involving parametric mapping, and their relationship to the properties of cartilage repair is presented. Some techniques, such as T2 relaxation time mapping and delayed gadolinium-enhanced MRI of cartilage (dGEMRIC), are well established, while the full potential of more recently introduced techniques remain to be demonstrated. A combination of several MRI techniques is necessary for a comprehensive characterization of chondral repair.
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Affiliation(s)
- Miika T Nieminen
- Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.
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Binks DA, Hodgson RJ, Ries ME, Foster RJ, Smye SW, McGonagle D, Radjenovic A. Quantitative parametric MRI of articular cartilage: a review of progress and open challenges. Br J Radiol 2013; 86:20120163. [PMID: 23407427 DOI: 10.1259/bjr.20120163] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
With increasing life expectancies and the desire to maintain active lifestyles well into old age, the impact of the debilitating disease osteoarthritis (OA) and its burden on healthcare services is mounting. Emerging regenerative therapies could deliver significant advances in the effective treatment of OA but rely upon the ability to identify the initial signs of tissue damage and will also benefit from quantitative assessment of tissue repair in vivo. Continued development in the field of quantitative MRI in recent years has seen the emergence of techniques able to probe the earliest biochemical changes linked with the onset of OA. Quantitative MRI measurements including T(1), T(2) and T(1ρ) relaxometry, diffusion weighted imaging and magnetisation transfer have been studied and linked to the macromolecular structure of cartilage. Delayed gadolinium-enhanced MRI of cartilage, sodium MRI and glycosaminoglycan chemical exchange saturation transfer techniques are sensitive to depletion of cartilage glycosaminoglycans and may allow detection of the earliest stages of OA. We review these current and emerging techniques for the diagnosis of early OA, evaluate the progress that has been made towards their implementation in the clinic and identify future challenges in the field.
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Affiliation(s)
- D A Binks
- Section of Musculoskeletal Disease, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
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Reverte-Vinaixa MM, Joshi N, Diaz-Ferreiro EW, Teixidor-Serra J, Dominguez-Oronoz R. Medium-term outcome of mosaicplasty for grade III-IV cartilage defects of the knee. J Orthop Surg (Hong Kong) 2013; 21:4-9. [PMID: 23629978 DOI: 10.1177/230949901302100104] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
PURPOSE To evaluate the medium-term outcome of mosaicplasty for full-thickness cartilage defects of the knee joint in 17 patients. METHODS Records of 12 men and 5 women aged 16 to 57 (mean, 35) years who underwent mosaicplasty for grade III/IV osteochondral defects in the lateral (n=14) or medial (n=3) femoral condyle were reviewed. 12 of the patients had undergone knee surgeries. The mean size of the defects was 3.4 (range, 1-4) cm(2). Three patients had defects of >2 cm(2). All operations were performed by a single surgeon using mini-arthrotomy. The lateral edge of the trochlea was the donor site. Graft integration and the presence of any abnormality at the articular surface were assessed using magnetic resonance imaging (MRI). In addition, patients were evaluated using the International Knee Documentation Committee (IKDC) rating scale, the SF-36 health questionnaire, visual analogue scale (VAS) score for pain. RESULTS Two of the 17 patients developed necrosis and cystic degeneration of the grafts and underwent conversion to unicompartmental knee arthroplasty within 2 years. They were older than 45 years and had defects of >2 cm(2). Respectively in years 4 and 7, one and 4 patients were lost to follow-up, the mean IKDC score was 75% and 88%, the SF-36 score was 83% and 90%, and the VAS score was ≤3 in 13 of 14 patients at year 4 and in all 11 patients at year 7. At the 7-year follow-up, patient satisfaction with mosaicplasty was excellent in 8 patients, good in 3, and poor in 2 (who underwent unicompartmental knee arthroplasty). At year 4, MRI showed integration of the cartilage repair tissue and incorporation of the osseous portion of the graft into the bone in 13 of the 14 patients. The remaining patient had osteoarthritis at the graft donor site. At year 7, MRI showed good integration of the implant in all 11 available patients, but fissures were seen on the cartilage surface in 3 patients. CONCLUSION The medium-term outcome of autologous mosaicplasty for symptomatic osteochondral defects in the femoral condyle is good. Longer follow-up is needed to determine the structural and functional integrity of the graft over time.
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Affiliation(s)
- Maria Mercedes Reverte-Vinaixa
- Department of Trauma and Orthopaedic Surgery, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.
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Jungmann PM, Li X, Nardo L, Subburaj K, Lin W, Ma CB, Majumdar S, Link TM. Do cartilage repair procedures prevent degenerative meniscus changes?: longitudinal t1ρ and morphological evaluation with 3.0-T MRI. Am J Sports Med 2012; 40:2700-8. [PMID: 23104606 PMCID: PMC4074395 DOI: 10.1177/0363546512461594] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Cartilage repair (CR) procedures are widely accepted for treatment of isolated cartilage defects in the knee joint. However, it is not well known whether these procedures prevent degenerative joint disease. HYPOTHESIS Cartilage repair procedures prevent accelerated qualitative and quantitative progression of meniscus degeneration in individuals with focal cartilage defects. STUDY DESIGN Cohort study; Level of evidence, 2. METHODS Ninety-four subjects were studied. Cartilage repair procedures were performed on 34 patients (osteochondral transplantation, n = 16; microfracture, n = 18); 34 controls were matched. An additional 13 patients received CR and anterior cruciate ligament (ACL) reconstruction (CR&ACL), and 13 patients received only ACL reconstruction. Magnetic resonance imaging at 3.0-tesla with T(1ρ) mapping and sagittal fat-saturated intermediate-weighted fast spin echo (FSE) sequences was performed to quantitatively and qualitatively analyze menisci (Whole-Organ Magnetic Resonance Imaging Score [WORMS] assessment). Patients in the CR and CR&ACL groups were examined 4 months (n = 34; n = 13), 1 year (n = 21; n = 8), and 2 years (n = 9; n = 5) after CR. Control subjects were scanned at baseline and after 1 and 2 years, ACL patients after 1 and 2 years. RESULTS At baseline, global meniscus T(1ρ) values (mean ± SEM) were higher in individuals with CR (14.2 ± 0.5 ms; P = .004) and in individuals with CR&ACL (17.1 ± 0.9 ms; P < .001) when compared with controls (12.8 ± 0.6 ms). After 2 years, there was a statistical difference between T(1ρ) at the overlying meniscus above cartilage defects (16.4 ± 1.0 ms) and T(1ρ) of the subgroup of control knees without cartilage defects (12.1 ± 0.8 ms; P < .001) and a statistical trend to the CR group (13.3 ± 1.0 ms; P = .09). At baseline, 35% of subjects with CR showed morphological meniscus tears at the overlying meniscus; 10% of CR subjects showed an increase in the WORMS meniscus score within the first year, and none progressed in the second year. Control subjects with (without) cartilage defects showed meniscus tears in 30% (5%) at baseline; 38% (19%) increased within the first year, and 15% (10%) within the second year. CONCLUSION This study demonstrated more severe meniscus degeneration after CR surgery compared with controls. However, progression of T(1ρ) values was not observed from 1 to 2 years after surgery. These results suggest that CR may prevent degenerative meniscus changes.
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Affiliation(s)
- Pia M. Jungmann
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Suite 350, San Francisco, CA 94107, USA
,Institute of Radiology, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Xiaojuan Li
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Suite 350, San Francisco, CA 94107, USA
| | - Lorenzo Nardo
- Department of Orthpaedic Surgery, University of California San Francisco, 1500 Owens Street, San Francisco, CA 94158, USA
| | - Karupppasamy Subburaj
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Suite 350, San Francisco, CA 94107, USA
| | - Wilson Lin
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Suite 350, San Francisco, CA 94107, USA
| | - C. Benjamin Ma
- Department of Orthpaedic Surgery, University of California San Francisco, 1500 Owens Street, San Francisco, CA 94158, USA
| | - Sharmila Majumdar
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Suite 350, San Francisco, CA 94107, USA
| | - Thomas M. Link
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Suite 350, San Francisco, CA 94107, USA
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Theologis AA, Schairer WW, Carballido-Gamio J, Majumdar S, Li X, Ma CB. Longitudinal analysis of T1ρ and T2 quantitative MRI of knee cartilage laminar organization following microfracture surgery. Knee 2012; 19:652-7. [PMID: 22018879 PMCID: PMC3652011 DOI: 10.1016/j.knee.2011.09.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2011] [Revised: 08/18/2011] [Accepted: 09/12/2011] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To quantitate longitudinally the radiographic properties of different layers of repaired tissue following microfracture (MFx) surgery using T(1ρ) and T(2) magnetic resonance imaging (MRI). DESIGN 10 patients underwent MFx surgery to treat symptomatic focal cartilage defects (FCD). Sagittal three-dimensional (3D) water excitation high-spatial resolution (HR) spoiled gradient recalled (SPGR) for quantitative T(1ρ) and T(2) mapping were acquired for each patient 3-6 months and 1 year after surgery. Cartilage compartments were segmented on HR-SPGR images, and T(1ρ) and T(2) maps were registered to the HR-SPGR images. T(1ρ) and T(2) values for the full thickness of deep and superficial layers of repaired tissue (RT) and normal cartilage (NC) were calculated, and compared within and between respective time points. A p-value <0.05 is considered statistically significant. RESULTS The majority of FCD were found in the MFC. The average surface area of the lesions did not differ significantly overtime. At 3-6 months, RT had significantly higher full thickness T(1ρ) and T(2) values relative to NC. At 1 year, this significant difference was only observed for T(1ρ) values. At 3-6 months follow-up, the RT's superficial layer had significantly higher T(1ρ) and T(2) values than the deep layer of the RT and the superficial layer of NC. At 12 months, the superficial layer of the RT had significantly higher T(1ρ) values than the RT's deep layer and the NC's superficial layer. CONCLUSION T(1ρ) and T(2) MRI are feasible methods for quantitatively and noninvasively monitoring the maturation of repaired tissue following microfracture surgery over time.
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Affiliation(s)
- Alexander A. Theologis
- School of Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA,Musculoskeletal Quantitative Imaging Research, Department of Radiology, UCSF, San Francisco, CA, USA,Department of Orthopaedic Surgery, UCSF, San Francisco, CA, USA
| | - William W. Schairer
- School of Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA,Musculoskeletal Quantitative Imaging Research, Department of Radiology, UCSF, San Francisco, CA, USA
| | - Julio Carballido-Gamio
- Musculoskeletal Quantitative Imaging Research, Department of Radiology, UCSF, San Francisco, CA, USA
| | - Sharmila Majumdar
- Musculoskeletal Quantitative Imaging Research, Department of Radiology, UCSF, San Francisco, CA, USA
| | - Xiaojuan Li
- Musculoskeletal Quantitative Imaging Research, Department of Radiology, UCSF, San Francisco, CA, USA
| | - C. Benjamin Ma
- Department of Orthopaedic Surgery, UCSF, San Francisco, CA, USA,Corresponding author at: University of California, San Francisco School of Medicine, Department of Orthopaedic Surgery, Mission Bay Ortho Institute, 1500 Owens Street, San Francisco, CA 94158. Tel.: +1 415 353 2808; fax: +1 415 885 9643. (C.B. Ma)
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Effects of unloading on knee articular cartilage T1rho and T2 magnetic resonance imaging relaxation times: a case series. J Orthop Sports Phys Ther 2012; 42:511-20. [PMID: 22402583 PMCID: PMC3673554 DOI: 10.2519/jospt.2012.3975] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
STUDY DESIGN Case series. BACKGROUND It has been shown in rodent and canine models that cartilage composition is significantly altered in response to long-term unloading. To date, however, no in vivo human studies have investigated this topic. The objective of this case series was to determine the influence of unloading and reloading on T1rho and T2 relaxation times of articular cartilage in healthy young joints. CASE DESCRIPTION Ten patients who required 6 to 8 weeks of non-weight bearing (NWB) for injuries affecting the distal lower extremity participated in the study. Quantitative T1rho and T2 imaging of the ipsilateral knee joint was performed at 3 time points: (1) prior to surgery (baseline), (2) immediately after a period of NWB (post-NWB), and (3) after 4 weeks of full weight bearing (post-FWB). Cartilage regions of interest were segmented and overlaid on T1rho and T2 relaxation time maps for quantification. Descriptive statistics are provided for all changes. OUTCOMES Increases of 5% to 10% in T1rho times of all femoral and tibial compartments were noted post-NWB. All values returned to near-baseline levels post-FWB. Increases in medial tibia T2 times were noted post-NWB and remained elevated post-FWB. The load-bearing regions showed the most significant changes in response to unloading, with increases of up to 12%. DISCUSSION The observation of a transient shift in relaxation times confirms that cartilage composition is subject to alterations based on loading conditions. These changes appear to be mostly related to proteoglycan content and more localized to the load-bearing regions. However, following 4 weeks of full weight bearing, relaxation times of nearly all regions had returned to baseline levels, demonstrating reversibility in compositional fluctuations. LEVEL OF EVIDENCE Therapy, level 4.
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Winalski CS, Rajiah P. The evolution of articular cartilage imaging and its impact on clinical practice. Skeletal Radiol 2011; 40:1197-222. [PMID: 21847750 DOI: 10.1007/s00256-011-1226-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2011] [Accepted: 06/27/2011] [Indexed: 02/02/2023]
Abstract
Over the past four decades, articular cartilage imaging has developed rapidly. Imaging now plays a critical role not only in clinical practice and therapeutic decisions but also in the basic research probing our understanding of cartilage physiology and biomechanics.
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Affiliation(s)
- Carl S Winalski
- Imaging Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
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