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Baumann-Jungmann PM, Giesler P, Schneider J, Jung M, Karampinos DC, Weidlich D, Gersing AS, Baumann FA, Imhoff AB, Woertler K, Bamberg F, Holwein C. MR imaging after patellar MACI and MPFL reconstruction: a comparison of isolated versus combined procedures. Skeletal Radiol 2024; 53:1319-1332. [PMID: 38240761 DOI: 10.1007/s00256-024-04582-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/05/2024] [Accepted: 01/07/2024] [Indexed: 05/15/2024]
Abstract
OBJECTIVE To qualitatively and quantitatively evaluate the 2.5-year MRI outcome after Matrix-associated autologous chondrocyte implantation (MACI) at the patella, reconstruction of the medial patellofemoral ligament (MPFL), and combined procedures. METHODS In 66 consecutive patients (age 22.8 ± 6.4years) with MACI at the patella (n = 16), MPFL reconstruction (MPFL; n = 31), or combined procedures (n = 19) 3T MRI was performed 2.5 years after surgery. For morphological MRI evaluation WORMS and MOCART scores were obtained. In addition quantitative cartilage T2 and T1rho relaxation times were acquired. Several clinical scores were obtained. Statistical analyses included descriptive statistics, Mann-Whitney-U-tests and Pearson correlations. RESULTS WORMS scores at follow-up (FU) were significantly worse after combined procedures (8.7 ± 4.9) than after isolated MACI (4.3 ± 3.6, P = 0.005) and after isolated MPFL reconstruction (5.3 ± 5.7, P = 0.004). Bone marrow edema at the patella in the combined group was the only (non-significantly) worsening WORMS parameter from pre- to postoperatively. MOCART scores were significantly worse in the combined group than in the isolated MACI group (57 ± 3 vs 88 ± 9, P < 0.001). Perfect defect filling was achieved in 26% and 69% of cases in the combined and MACI group, respectively (P = 0.031). Global and patellar T2 values were higher in the combined group (Global T2: 34.0 ± 2.8ms) and MACI group (35.5 ± 3.1ms) as compared to the MPFL group (31.1 ± 3.2ms, P < 0.05). T2 values correlated significantly with clinical scores (P < 0.005). Clinical Cincinnati scores were significantly worse in the combined group (P < 0.05). CONCLUSION After combined surgery with patellar MACI and MPFL reconstruction inferior MRI outcomes were observed than after isolated procedures. Therefore, patients with need for combined surgery may be at particular risk for osteoarthritis.
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Affiliation(s)
- Pia M Baumann-Jungmann
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
- Department of Radiology, Kantonsspital Graubünden, Chur, Switzerland.
| | - Paula Giesler
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany
| | - Julia Schneider
- Department of Orthopaedic Sports Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Matthias Jung
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany
| | - Dimitrios C Karampinos
- Department of Radiology, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Dominik Weidlich
- Department of Radiology, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Alexandra S Gersing
- Department of Radiology, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
- Department of Neuroradiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Frederic A Baumann
- Department of Vascular Medicine, Hospital of Schiers, Schiers, Switzerland
| | - Andreas B Imhoff
- Department of Orthopaedic Sports Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Klaus Woertler
- Department of Radiology, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany
| | - Christian Holwein
- Department of Orthopaedic Sports Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
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Li X, Chen W, Liu D, Chen P, Li P, Li F, Yuan W, Wang S, Chen C, Chen Q, Li F, Guo S, Hu Z. Radiomics analysis using magnetic resonance imaging of bone marrow edema for diagnosing knee osteoarthritis. Front Bioeng Biotechnol 2024; 12:1368188. [PMID: 38933540 PMCID: PMC11199411 DOI: 10.3389/fbioe.2024.1368188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/22/2024] [Indexed: 06/28/2024] Open
Abstract
This study aimed to develop and validate a bone marrow edema model using a magnetic resonance imaging-based radiomics nomogram for the diagnosis of osteoarthritis. Clinical and magnetic resonance imaging (MRI) data of 302 patients with and without osteoarthritis were retrospectively collected from April 2022 to October 2023 at Longhua Hospital affiliated with the Shanghai University of Traditional Chinese Medicine. The participants were randomly divided into two groups (a training group, n = 211 and a testing group, n = 91). We used logistic regression to analyze clinical characteristics and established a clinical model. Radiomics signatures were developed by extracting radiomic features from the bone marrow edema area using MRI. A nomogram was developed based on the rad-score and clinical characteristics. The diagnostic performance of the three models was compared using the receiver operating characteristic curve and Delong's test. The accuracy and clinical application value of the nomogram were evaluated using calibration curve and decision curve analysis. Clinical characteristics such as age, radiographic grading, Western Ontario and McMaster Universities Arthritis Index score, and radiological features were significantly correlated with the diagnosis of osteoarthritis. The Rad score was constructed from 11 radiological features. A clinical model was developed to diagnose osteoarthritis (training group: area under the curve [AUC], 0.819; testing group: AUC, 0.815). Radiomics models were used to effectively diagnose osteoarthritis (training group,: AUC, 0.901; testing group: AUC, 0.841). The nomogram model composed of Rad score and clinical characteristics had better diagnostic performance than a simple clinical model (training group: AUC, 0.906; testing group: AUC, 0.845; p < 0.01). Based on DCA, the nomogram model can provide better diagnostic performance in most cases. In conclusion, the MRI-bone marrow edema-based radiomics-clinical nomogram model showed good performance in diagnosing early osteoarthritis.
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Affiliation(s)
- Xuefei Li
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenhua Chen
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Dan Liu
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Pinghua Chen
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Pan Li
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fangfang Li
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Weina Yuan
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shiyun Wang
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chen Chen
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qian Chen
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fangyu Li
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Suxia Guo
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhijun Hu
- Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Yu AS, Yang M, Lartey R, Holden W, Ok AH, Khan S, Kim J, Winalski C, Subhas N, Chaudhary V, Li X. Unsupervised Segmentation of Knee Bone Marrow Edema-like Lesions Using Conditional Generative Models. Bioengineering (Basel) 2024; 11:526. [PMID: 38927762 PMCID: PMC11200419 DOI: 10.3390/bioengineering11060526] [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: 04/01/2024] [Revised: 05/07/2024] [Accepted: 05/17/2024] [Indexed: 06/28/2024] Open
Abstract
Bone marrow edema-like lesions (BMEL) in the knee have been linked to the symptoms and progression of osteoarthritis (OA), a highly prevalent disease with profound public health implications. Manual and semi-automatic segmentations of BMELs in magnetic resonance images (MRI) have been used to quantify the significance of BMELs. However, their utilization is hampered by the labor-intensive and time-consuming nature of the process as well as by annotator bias, especially since BMELs exhibit various sizes and irregular shapes with diffuse signal that lead to poor intra- and inter-rater reliability. In this study, we propose a novel unsupervised method for fully automated segmentation of BMELs that leverages conditional diffusion models, multiple MRI sequences that have different contrast of BMELs, and anomaly detection that do not rely on costly and error-prone annotations. We also analyze BMEL segmentation annotations from multiple experts, reporting intra-/inter-rater variability and setting better benchmarks for BMEL segmentation performance.
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Affiliation(s)
- Andrew Seohwan Yu
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH 44106, USA;
| | - Mingrui Yang
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Richard Lartey
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - William Holden
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Ahmet Hakan Ok
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Sameed Khan
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Jeehun Kim
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Carl Winalski
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Naveen Subhas
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Vipin Chaudhary
- Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH 44106, USA;
| | - Xiaojuan Li
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH 44195, USA; (M.Y.); (R.L.); (W.H.); (A.H.O.); (S.K.); (J.K.); (C.W.); (N.S.); (X.L.)
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH 44195, USA
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Jones CE, Cibere J, Qian H, Zhang H, Guo Y, Russell D, Forster BB, Wong H, Esdaile JM, Wilson DR. Delayed Gadolinium-Enhanced Magnetic Resonance Imaging of Cartilage Values in Hips With Bone Marrow Lesions. Arthritis Care Res (Hoboken) 2022; 74:1997-2004. [PMID: 34137188 DOI: 10.1002/acr.24733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/28/2021] [Accepted: 06/15/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Bone marrow lesions (BMLs) are associated with painful and progressive osteoarthritis (OA). Quantitative magnetic resonance imaging (MRI) has been used to study early cartilage degeneration in knees with BML, but similar work has not been done in hips. The purpose of this study was to compare mean delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) relaxation values (T1Gd) in hips with BML to hips without BML in a population-based study. Reduced T1Gd suggests depleted glycosaminoglycan. Our hypothesis was that mean T1Gd is lower in hips with BML compared to hips without BML. METHODS Study participants (n = 128) were recruited from a cross-sectional population-based study of people ages 20-49 years with and without hip pain. dGEMRIC and proton density (PD)-weighted MRI scans of 1 hip from each participant were used for this analysis. BMLs were identified from PD-weighted fat-suppressed images. We applied a sampling-weighted linear regression model to determine the association of the presence of BMLs with mean cartilage T1Gd (significance: P < 0.05). The model was adjusted for age, sex, body mass index (BMI), hip pain, cam/pincer deformity, and physical activity. RESULTS Thirty-two (25%) of the 128 participants had at least 1 BML. Subjects with at least 1 BML, compared to those without, had similar weighted characteristics of age, BMI, physical activity levels, and frequency of hip pain. Mean T1Gd was 75.25 msec lower (95% confidence interval -149.69, -0.81; P = 0.048) (9%) in the BML compared to the no-BML group. CONCLUSION Our results suggest that hips with BMLs are associated with hip cartilage degeneration early in the OA disease process.
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Affiliation(s)
- Carly E Jones
- Centre for Hip Health and Mobility, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jolanda Cibere
- Arthritis Research Canada, Vancouver, British Columbia, Canada, and University of British Columbia, Vancouver, British Columbia, Canada
| | - Hong Qian
- Centre for Health Evaluation and Outcome Sciences, Vancouver, British Columbia, Canada
| | - Honglin Zhang
- Centre for Hip Health and Mobility, University of British Columbia, Vancouver, British Columbia, Canada
| | - Yimeng Guo
- Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - David Russell
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Bruce B Forster
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Hubert Wong
- Centre for Health Evaluation and Outcome Sciences, Vancouver, British Columbia, Canada
| | - John M Esdaile
- Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - David R Wilson
- Centre for Hip Health and Mobility, Department of Orthopedics, University of British Columbia, Vancouver, British Columbia, Canada
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T 2 MRI at 3T of cartilage and menisci in patients with hyperuricemia: initial findings. Skeletal Radiol 2022; 51:607-618. [PMID: 34287675 DOI: 10.1007/s00256-021-03861-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/30/2021] [Accepted: 06/30/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To compare and evaluate T2 values of compartmental femorotibial cartilage and subregional menisci in patients with hyperuricemia at 3T. MATERIALS AND METHODS Thirty-two subjects were included in this study and subdivided into two subgroups: 15 healthy controls (3 females, 12 males; mean age = 45.3 ± 10.9 years), 17 patients with hyperuricemia (2 females, 15 males; mean age = 44.4 ± 12.7 years). All subjects were assessed on a 3T MR scanner using an 8-channel phased-array knee coil (transmit-receive). Wilcoxon rank sum test and analysis of covariance (ANCOVA) were performed to determine whether there were any statistically significant differences in T2 values of compartmental femorotibial cartilage and subregional menisci between the two subgroups. RESULTS Lateral tibial cartilage (48.6 ± 3.5 ms) in healthy subgroup had significantly lower (p < 0.05) T2 values than all subcompartments of femorotibial cartilage in hyperuricemia subgroup. Medial tibial cartilage (56.5 ± 4.3 ms) in hyperuricemia subgroup had significantly higher (p < 0.05) T2 values than all subcompartments of femorotibial cartilage except medial tibial cartilage in healthy subgroup. Medial anterior horn of meniscus (39.4 ± 2.9 ms) in healthy subgroup had significantly lower (p < 0.05) T2 values than all subregional menisci except both medial anterior horn and medial body segment of meniscus in hyperuricemia subgroup. CONCLUSION T2 values in certain compartmental femorotibial cartilage and subregional menisci in patients with hyperuricemia are evidently and abnormally heightened compared with those in healthy subjects, to which special attention should be paid when diagnosing and treating the patients with hyperuricemia in the clinical setting. The LT cartilage had significantly lower T2 values (48.6 ± 3.5 ms) in healthy subgroup compared to all compartmental femorotibial cartilage in cohort with HU. MF cartilage had significantly lower T2 values (51.6 ± 2.9 ms) in healthy subgroup compared to both LF (54.4 ± 4.1 ms) and MT (56.5 ± 4.3 ms) in cohort with HU. MT cartilage had significantly higher T2 values (56.5 ± 4.3 ms) in cohort with HU subgroup compared to LF (52.5 ± 3.0 ms) in healthy subgroup. T2 mapping may be promising and potential sensitive discriminator of understanding and examining the early compositional and structural change in proteoglycan-collagen matrix of human femorotibial cartilage in patients with hyperuricemia.
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Jacobs CA, Conley CEW, Kraus VB, Lansdown DA, Lau BC, Li X, Majumdar S, Spindler KP, Lemaster NG, Stone AV. MOntelukast as a potential CHondroprotective treatment following Anterior cruciate ligament reconstruction (MOCHA Trial): study protocol for a double-blind, randomized, placebo-controlled clinical trial. Trials 2022; 23:98. [PMID: 35101085 PMCID: PMC8802473 DOI: 10.1186/s13063-021-05982-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 12/26/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND After anterior cruciate ligament (ACL) reconstruction, patient-reported outcomes are improved 10 years post-surgery; however, cytokine concentrations remain elevated years after surgery with over 80% of those with combined ACL and meniscus injuries having posttraumatic osteoarthritis (PTOA) within 10-15 years. The purpose of this multicenter, randomized, placebo-controlled trial is to assess whether a 6-month course of oral montelukast after ACL reconstruction reduces systemic markers of inflammation and biochemical and imaging biomarkers of cartilage degradation. METHODS We will enroll 30 individuals undergoing primary ACL reconstruction to participate in this IRB-approved multicenter clinical trial. This trial will target those at greatest risk of a more rapid PTOA onset (age range 25-50 with concomitant meniscus injury). Patients will be randomly assigned to a group instructed to take 10 mg of montelukast daily for 6 months following ACL reconstruction or placebo. Patients will be assessed prior to surgery and 1, 6, and 12 months following surgery. To determine if montelukast alters systemic inflammation following surgery, we will compare systemic concentrations of prostaglandin E2, monocyte chemoattractant protein-1, and pro-inflammatory cytokines between groups. We will also compare degradative changes on magnetic resonance imaging (MRI) collected 1 and 12 months following surgery between groups with reductions in early biomarkers of cartilage degradation assessed with urinary biomarkers of type II collagen breakdown and bony remodeling. DISCUSSION There is a complex interplay between the pro-inflammatory intra-articular environment, underlying bone remodeling, and progressive cartilage degradation. PTOA affects multiple tissues and appears to be more similar to rheumatoid arthritis than osteoarthritis with respect to inflammation. There is currently no treatment to delay or prevent PTOA after ACL injury. Since there is a larger and more persistent inflammatory response after ACL reconstruction than the initial insult of injury, treatment may need to be initiated after surgery, sustained over a period of time, and target multiple mechanisms in order to successfully alter the disease process. This study will assess whether a 6-month postoperative course of oral montelukast affects multiple PTOA mechanisms. Because montelukast administration can be safely sustained for long durations and offers a low-cost treatment option, should it be proven effective in the current trial, these results can be immediately incorporated into clinical practice. TRIAL REGISTRATION ClinicalTrials.gov NCT04572256 . Registered on October 1, 2020.
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Affiliation(s)
- Cale A Jacobs
- University of Kentucky, 740 S Limestone, Suite K401, Lexington, Kentucky, 40536-0284, USA.
| | - Caitlin E W Conley
- University of Kentucky, 740 S Limestone, Suite K401, Lexington, Kentucky, 40536-0284, USA
| | | | | | | | | | | | | | - Nicole G Lemaster
- University of Kentucky, 740 S Limestone, Suite K401, Lexington, Kentucky, 40536-0284, USA
| | - Austin V Stone
- University of Kentucky, 740 S Limestone, Suite K401, Lexington, Kentucky, 40536-0284, USA
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Nishida Y, Hashimoto Y, Orita K, Nishino K, Kinoshita T, Nakamura H. Serum cartilage oligomeric matrix protein is correlated with quantitative magnetic resonance imaging and arthroscopic cartilage findings in anterior cruciate ligament deficient knees without osteoarthritic changes. Clin Rheumatol 2021; 40:4629-4638. [PMID: 34117950 DOI: 10.1007/s10067-021-05800-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 05/24/2021] [Accepted: 05/30/2021] [Indexed: 11/26/2022]
Abstract
INTRODUCTION/OBJECTIVES To investigate the association between serum biomarker [cartilage oligomeric matrix protein (COMP) and matrix metalloproteinase-3 (MMP-3)] levels and clinical, magnetic resonance imaging (MRI), and arthroscopic findings in anterior cruciate ligament (ACL)-deficient knees without osteoarthritic changes on radiographs. METHOD Patients with ACL injury of Kellgren-Lawrence grade 0 or 1 were enrolled. Serum COMP and MMP-3 levels were measured preoperatively. Correlations of serum biomarker levels with age, body mass index (BMI), duration from time of injury, Tegner activity scale (TAS) score, Lysholm knee score, International Knee Documentation Committee score, KT-1000 arthrometer measurements, whole-organ MRI score (WORMS), MRI T2 relaxation time, and arthroscopic International Cartilage Research Society (ICRS) grade were assessed by calculating Spearman correlation coefficients. Associations between intraoperative findings (cartilage, meniscus) and serum biomarker levels were determined using the Mann-Whitney U test. Multiple regression analysis was performed to investigate the correlations between serum biomarker levels and MRI and arthroscopic findings. RESULTS Ninety-eight patients with a mean age of 23.7 years were enrolled. Higher serum COMP level was correlated with older age and higher BMI, TAS score, serum MMP-3 level, WORMS, and T2 relaxation times (medial femur, medial tibia). Multivariate analysis showed that the serum COMP level was independently associated with WORMS and ICRS grade. CONCLUSIONS The serum COMP level was correlated with age, BMI, TAS score, and MMP-3 level in ACL-deficient knees and was independently correlated with WORMS and ICRS grade. Thus, the serum COMP level can help detect cartilage degeneration even in patients without radiographic osteoarthritic changes. Key Points • Serum COMP correlated with WORMS and ICRS grade in ACL deficient knee. • The serum COMP level could help in detecting cartilage degeneration, even in patients with no radiographic osteoarthritic changes.
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Affiliation(s)
- Yohei Nishida
- Department of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
| | - Yusuke Hashimoto
- Department of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Kumi Orita
- Department of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
| | - Kazuya Nishino
- Department of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
| | - Takuya Kinoshita
- Department of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
| | - Hiroaki Nakamura
- Department of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
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Zhu J, Hu N, Hou J, Liang X, Wang Y, Zhang H, Wang P, Chen T, Chen W, Wang L. T 1rho mapping of cartilage and menisci in patients with hyperuricaemia at 3 T: a preliminary study. Clin Radiol 2021; 76:710.e1-710.e8. [PMID: 34016388 DOI: 10.1016/j.crad.2021.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/14/2021] [Accepted: 04/27/2021] [Indexed: 11/16/2022]
Abstract
AIM To compare and assess T1rho values of the femorotibial cartilage compartments and subregional menisci in patients with hyperuricaemia at 3 T. MATERIALS AND METHODS Thirty-two patients were enrolled in the study and were subdivided into two subgroups: 15 healthy controls (three women, 12 men; mean age = 45.3 ± 10.9 years, age range 25-72 years) and 17 patients with asymptomatic hyperuricaemia (two women, 15 men; mean age = 44.4 ± 12.7 years, age range 26-77 years). All patients were evaluated using 3 T magnetic resonance imaging (MRI) using an eight-channel phased-array knee coil (transmit-receive). Wilcoxon's rank sum test and analysis of covariance (ANCOVA) were conducted to determine whether there were any statistically significant differences in the T1rho values of the femorotibial cartilage compartments and subregional menisci between the two subgroups. RESULTS Lateral tibial cartilage (45.8 ± 2.9 ms) in the healthy subgroup had significantly lower (p<0.05) T1rho values than those of all subcompartments of the femorotibial cartilage in the hyperuricaemia subgroup. The lateral femoral cartilage (LF) in hyperuricaemia (54.6 ± 3.9 ms) subgroup had significantly higher (p<0.05) T1rho values than those of all subcompartments of the femorotibial cartilage except the LF in the healthy subgroup. Significantly higher (p<0.05) T1rho values existed in the LF of the healthy (54.6 ± 4.7 ms) subgroup in comparison with those of all subcompartments of femorotibial cartilage except the LF in hyperuricaemia subgroup. CONCLUSIONS T1rho values in certain compartments of the femorotibial cartilage in patients with hyperuricaemia are elevated compared to those in healthy patients presumably due to reduced proteoglycan content, to which particular attention should be paid when diagnosing and treating the patients with hyperuricaemia in a clinical setting.
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Affiliation(s)
- J Zhu
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215004, China
| | - N Hu
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215004, China
| | - J Hou
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region, China
| | - X Liang
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Y Wang
- Department of Radiation Physics, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, 310022, China
| | - H Zhang
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region, China
| | - P Wang
- Vanderbilt University Institute of Imaging Science, 1161 21st Avenue South, MCN AA-1105, Nashville, TN, 37232-2310, USA
| | - T Chen
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215004, China
| | - W Chen
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region, China
| | - L Wang
- Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions; School of Radiation Medicine and Protection, Medical College of Soochow University; School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Suzhou, Jiangsu, 215123, China.
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Friedman JM, Su F, Zhang AL, Allen CR, Feeley BT, Souza R, Li X, Ma CB, Lansdown DA. Patient-Reported Activity Levels Correlate With Early Cartilage Degeneration After Anterior Cruciate Ligament Reconstruction. Am J Sports Med 2021; 49:442-449. [PMID: 33395319 DOI: 10.1177/0363546520980431] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND The association between activity level after anterior cruciate ligament (ACL) reconstruction (ACLR) and development of posttraumatic osteoarthritis (PTOA) remains unclear. This study investigated the relationship of patient-reported outcomes and progressive cartilage degenerative changes at 3 years after ACLR. HYPOTHESIS Higher activity levels, as measured by Marx scores, are significantly correlated with early cartilage degeneration after ACLR. STUDY DESIGN Cohort study; Level of evidence, 2. METHODS A total of 35 patients (16 women; mean age, 31.0 ± 7.6 years) with isolated ACLR and without pre-existing arthritis were prospectively enrolled. Patients reported Marx activity scores and Knee injury and Osteoarthritis Outcome Score (KOOS) scores and underwent T1ρ magnetic resonance imaging (MRI) preoperatively, 6 months, 1 year, 2 years, and 3 years after ACLR with soft tissue graft (22 autograft). The change in cartilage relaxation times between preoperative and 3-year imaging was used to identify cartilage degeneration, defined as an increase in T1ρ values by 14.3%. Correlation between Marx activity levels, KOOS scores, and T1ρ degeneration was performed with the Spearman rank test. The Fisher exact test was used to test for association between Marx activity score cutoffs and degeneration. The Student t test was used to compare Whole-Organ Magnetic Resonance Imaging Score (WORMS) and T1ρ relaxation times. Significance was defined as P < .05. RESULTS Sixteen patients (45.7%) showed evidence of cartilage degeneration at 3 years, most frequently in the medial compartment (n = 12; 34%). Higher Marx activity scores at 3 years correlated with cartilage degeneration in the medial femur (rho = 0.34; P = .045), and medial tibia (rho = 0.43; P = .01). A Marx score of 11 or greater at 3 years was significantly associated with medial compartment degeneration (P = .03), with a positive predictive value of 52.6%. No Marx score cutoff at years 1 or 2 predicted future cartilage degeneration. The KOOS Quality of Life score was inversely correlated with cartilage degeneration (rho = 0.38; P = .02). WORMS did not correlate with degeneration of the medial compartment. CONCLUSION Increased activity at 3 years after ACLR was significantly associated with increased risk of medial compartment PTOA. While further research is needed to fully define these relationships, patients may be counseled that return to Marx activity levels of greater than 11 may be associated with a higher risk of medial compartment cartilage degeneration.
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Affiliation(s)
- James M Friedman
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Favian Su
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Alan L Zhang
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Christina R Allen
- Department of Orthopedic Surgery, Yale University, New Haven, Connecticut, USA
| | - Brian T Feeley
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Richard Souza
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, California, USA
| | - Xiaojuan Li
- Biomedical Engineering, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - C Benjamin Ma
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Drew A Lansdown
- Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA
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10
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Song JH, Bin SI, Kim JM, Lee BS. Postoperative Subchondral Bone Marrow Lesion Is Associated With Graft Extrusion After Lateral Meniscal Allograft Transplantation. Am J Sports Med 2020; 48:3163-3169. [PMID: 33017182 DOI: 10.1177/0363546520959316] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Adverse effects of graft extrusion after meniscal allograft transplantation (MAT) are difficult to assess and can be determined only in the long term using a simple radiograph. Recently, subchondral bone marrow lesions (BMLs) detected on magnetic resonance imaging (MRI) scans have been used to evaluate the outcomes or prognoses of various knee surgeries. However, whether subchondral BMLs on MRI scans reflect the effects of allograft extrusion remains unclear. HYPOTHESIS Subchondral BML in the lateral compartment of the knee joint on postoperative MRI scans would be associated with graft extrusion after lateral MAT. STUDY DESIGN Case-control study; Level of evidence, 3. METHODS Overall, 170 patients with lateral MAT between 2008 and 2013 were classified into extrusion (≥3 mm) and nonextrusion (<3 mm) groups based on findings on MRI scans obtained 3 to 6 months postoperatively. Subchondral BMLs in the lateral compartment were evaluated on the latest MRI scans. To exclude any bone marrow signal changes other than those caused by allograft extrusion, the latest MRI scans were compared with those obtained 3 to 6 months postoperatively. Only subchondral BMLs that occurred after that time point were counted. The association between allograft extrusion and subchondral BML was assessed using chi-square analysis. Logistic regression analysis was performed to control other related factors, including age, sex, body mass index, time from previous meniscectomy, alignment, and cartilage status at the time of MAT. Clinical outcomes according to subchondral BML were evaluated using the Lysholm score. RESULTS Of the 170 patients, 20 (11.8%) had subchondral BML on the latest MRI scans at a mean 53.6 ± 31.2 months postoperatively, with 14 and 6 patients in the extrusion and nonextrusion groups, respectively. Chi-square analysis showed a significant association between allograft extrusion and subchondral BMLs (P = .025). Logistic regression analysis showed that extrusion and age were significant factors associated with subchondral BML (P = .011 and .004, respectively). However, no differences were observed in the Lysholm scores in accordance with the subchondral BML (P = .248). CONCLUSION Subchondral BMLs on postoperative MRI scans were associated with graft extrusion after lateral MAT. However, there was no difference in clinical outcomes according to subchondral BML.
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Affiliation(s)
- Ju-Ho Song
- University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Seong-Il Bin
- University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jong-Min Kim
- University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Bum-Sik Lee
- University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Republic of Korea
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11
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Comparative analysis of the diagnostic values of T2 mapping and diffusion-weighted imaging for sacroiliitis in ankylosing spondylitis. Skeletal Radiol 2020; 49:1597-1606. [PMID: 32382978 DOI: 10.1007/s00256-020-03442-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 03/29/2020] [Accepted: 04/05/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To investigate the diagnostic values of T2 mapping and diffusion-weighted imaging (DWI) for active sacroiliitis in ankylosing spondylitis (AS) and to evaluate the correlations of T2 and ADC values with Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Spondyloarthritis Research Consortium of Canada (SPARCC) scores. METHODS A total of 77 AS patients with sacroiliitis and 45 healthy controls were enrolled. All patients were scanned by standard magnetic resonance imaging longitudinal relaxation time (T1)-weighted imaging (T1WI), fat-saturated T2-weighted imaging (FS-T2WI)] and DWI, and T2 mapping of the sacroiliac joints. According to whether subchondral bone marrow edema was present in the FS-T2WI sequence, the 77 patients were divided into an active group (41 cases) and an inactive group (36 cases). The T2 and apparent diffusion coefficient (ADC) values of the subchondral bone marrow were measured in the active group, the inactive group, and the healthy control group. The average T2 and ADC values were compared among the three groups. Receiver operating characteristic (ROC) curves were used to analyze the diagnostic efficacy of T2 and ADC values for sacroiliitis. The correlations of T2 and ADC values with the BASDAI score and the SPARCC score were analyzed. RESULTS The T2 and ADC values in the active group were higher than those in the inactive group, while that in the inactive group were significantly higher than those in the healthy control group (p < 0.0001). The T2 and ADC values of the AS patients were positively correlated with BASDAI scores, and the correlation coefficients (r) were 0.786 (p < 0.0001) and 0.842 (p < 0.0001), respectively. The areas under the ROC curves (AUCs) of T2 and ADC values between the active and inactive groups, the active group and the healthy control group, and the inactive group and the healthy control group were 0.889 (95% CI, 0.80-0.95) and 0.917 (95% CI, 0.83-0.97), 0.982 (95% CI, 0.93-1.00) and 0.984 (95% CI, 0.93-1.00), and 0.628 (95% CI, 0.51-0.73) and 0.871 (95% CI, 0.78-0.94), respectively. The T2 and ADC values of the AS patients in the active group were positively correlated with SPARCC scores, and the correlation coefficients (r) were 0.757 (p < 0.0001) and 0.764 (p < 0.0001), respectively. CONCLUSION T2 and ADC values can be used to quantitatively assess the activity of AS, and the efficacy of the ADC value in the diagnosis of AS was higher than that of the T2 value.
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Lian J, Lian J, Zhong M, Lu W. Comment on Hiranaka T et al.: Posttraumatic cartilage degradation progresses following anterior cruciate ligament reconstruction: A second-look arthroscopic evaluation. J Orthop Sci 2020; 25:739-740. [PMID: 32493621 DOI: 10.1016/j.jos.2020.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 01/17/2020] [Indexed: 10/24/2022]
Affiliation(s)
- Jiangen Lian
- Department of Orthopaedic Surgery, Dabu People's Hospital, Dabu, 514200, Guangdong province, China
| | - Junfeng Lian
- Department of Orthopaedic Surgery, Dabu People's Hospital, Dabu, 514200, Guangdong province, China
| | - Mingjin Zhong
- Department of Sports Medicine, The First Affiliated Hospital of Shenzhen University, Health Science Center; Shenzhen Second People's Hospital, Shenzhen, 518000, Guangdong province, China.
| | - Wei Lu
- Department of Sports Medicine, The First Affiliated Hospital of Shenzhen University, Health Science Center; Shenzhen Second People's Hospital, Shenzhen, 518000, Guangdong province, China
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Ling Z, Li L, Chen Y, Hu H, Zhao X, Wilson J, Qi Q, Liu D, Wei F, Chen X, Lu J, Zhou Z, Zou X. Changes of the end plate cartilage are associated with intervertebral disc degeneration: A quantitative magnetic resonance imaging study in rhesus monkeys and humans. J Orthop Translat 2020; 24:23-31. [PMID: 32542179 PMCID: PMC7281301 DOI: 10.1016/j.jot.2020.04.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/10/2020] [Accepted: 04/09/2020] [Indexed: 02/04/2023] Open
Abstract
Background The end plate plays an important role in intervertebral disc degeneration progression. The aim of the study was to examine the compositional and structural changes of the end plate with age and to investigate the correlation between end plate and disc degeneration by T1ρ and T2 map magnetic resonance imaging. Methods There were 12 young monkeys (6-7 years old), 20 aged monkeys (14-17 years old) and 12 human participants (30-50 years old) in this study. T1ρ or T2 map values of the nucleus pulposus and end plate cartilage were analyzed according to Pfirrmann grades and age. Afterwards, micro computed tomography and histological analysis were used to confirm the end plate changes in monkeys. Pearson’s correlation was performed to investigate the relationship between end plate and disc degeneration. Results In monkeys, T1ρ (r=-0.794, P<0.001) and T2 map values (r=-0.8, P<0.001) of the nucleus pulposus were negatively associated with Pfirrmann grades. Moreover, the T2 map was more suitable than T1ρ for the evaluation of end plate degeneration. Age was an important influence factor of end plate and disc degeneration, which was confirmed by microcomputed tomography, Safranin O/fast green staining, and collagen II staining. The T2 map value of lower end plate degeneration positively correlated with that of the intervertebral discs in monkeys (R2=0.3133, P<0.001) and humans (R2=0.2092, P<0.001). Conclusion This study suggests that the compositional and structural changes of the end plate can be quantitatively evaluated by T2 map. Furthermore, cartilage end plate degeneration is associated with disc degeneration during ageing. The translational potential of this article A better understanding of how the cartilage end plate affects disc degeneration is needed, which may propose a new clinical application using T2 map to evaluate end plate degeneration.
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Affiliation(s)
- Zemin Ling
- Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Department of Spinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Liangping Li
- Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Department of Spinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.,Department of Orthopaedics, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yan Chen
- Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Department of Spinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Hao Hu
- Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Department of Spinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaoxiao Zhao
- Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-sen University, China
| | - Jordan Wilson
- Department of Orthopaedics, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Qihua Qi
- Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Department of Spinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Delong Liu
- Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Department of Spinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Fuxin Wei
- Department of Orthopaedic Surgery, The Seventh Affiliated Hospital and Orthopedic Research, Institute of Sun Yat-sen University, Shenzhen, China
| | - Xiaoying Chen
- Department of Emergency, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Jianhua Lu
- Department of Radiology, Johns Hopkins Hospital, Baltimore, USA
| | - Zhiyu Zhou
- Department of Orthopaedic Surgery, The Seventh Affiliated Hospital and Orthopedic Research, Institute of Sun Yat-sen University, Shenzhen, China
| | - Xuenong Zou
- Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Department of Spinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
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Heilmeier U, Mamoto K, Amano K, Eck B, Tanaka M, Bullen JA, Schwaiger BJ, Huebner JL, Stabler TV, Kraus VB, Ma CB, Link TM, Li X. Infrapatellar fat pad abnormalities are associated with a higher inflammatory synovial fluid cytokine profile in young adults following ACL tear. Osteoarthritis Cartilage 2020; 28:82-91. [PMID: 31526878 PMCID: PMC6935420 DOI: 10.1016/j.joca.2019.09.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 08/08/2019] [Accepted: 09/03/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To evaluate the degree of knee fat pad abnormalities after acute anterior cruciate ligament (ACL) tear via magnetic resonance fat pad scoring and to assess cross-sectionally its association with synovial fluid biomarkers and with early cartilage damage as quantified via T1ρ and T2 relaxation time measurements. DESIGN 26 patients with acute ACL tears underwent 3T MR scanning of the injured knee prior to ACL reconstruction. The presence and degree of abnormalities of the infrapatellar (IPFP) and the suprapatellar (SPFP) fat pads were scored on MR images along with grading of effusion-synovitis and synovial proliferations. Knee cartilage composition was assessed by 3T MR T1ρ and T2 mapping in six knee compartments. We quantified concentrations of 20 biomarkers in synovial fluid aspirated at the time of ACL reconstruction. Spearman rank partial correlations with adjustments for age and gender were employed to evaluate correlations of MR, particularly cartilage composition and fat pad abnormalities, and biomarker data. RESULTS The degree of IPFP abnormality correlated positively with the synovial levels of the inflammatory cytokine markers IFN-γ (ρpartial = 0.64, 95% CI (0.26-0.85)), IL-10 (ρpartial = 0.47, 95% CI (0.04-0.75)), IL-6 (ρpartial = 0.56, 95% CI (0.16-0.81)), IL-8 (ρpartial = 0.49, 95% CI (0.06-0.76)), TNF-α (ρpartial = 0.55, 95% CI (0.14-0.80)) and of the chondrodestructive markers MMP-1 and -3 (MMP-1: ρpartial = 0.57, 95% CI (0.17-0.81); MMP-3: ρpartial = 0.60, 95% CI (0.21-0.83)). IPFP abnormalities were significantly associated with higher T1ρ and T2 values in the trochlear cartilage (T1ρ: ρpartial = 0.55, 95% CI (0.15-0.80); T2: ρpartial = 0.58, 95% CI (0.18-0.81)) and with higher T2 values in the medial femoral, medial tibial as well as in patellar cartilage (0.45 ≤ ρpartial ≤ 0.59). Correlations between SPFP abnormalities and synovial markers were not significant except for IL-6 (ρpartial = 0.57, 95% CI (0.17-0.81)). CONCLUSIONS This exploratory study suggests that acute ACL rupture can be associated with damage to knee tissues such as the inferior fat pad of the knee. Such fat pad injury could be partially responsible for the apparent post-injury pro-inflammatory response noted in ACL-injured individuals. However, future longitudinal studies are needed to link ACL-rupture associated fat pad injury with important patient outcomes such as the development of posttraumatic osteoarthritis.
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Affiliation(s)
- U Heilmeier
- Department of Radiology and Biomedical Imaging, Musculoskeletal Quantitative Imaging Research, University of California San Francisco, San Francisco, CA, USA.
| | - K Mamoto
- Department of Radiology and Biomedical Imaging, Musculoskeletal Quantitative Imaging Research, University of California San Francisco, San Francisco, CA, USA; Department of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, USA; Department of Orthopaedic Surgery, Osaka City University Medical School, Osaka, Japan.
| | - K Amano
- Department of Radiology and Biomedical Imaging, Musculoskeletal Quantitative Imaging Research, University of California San Francisco, San Francisco, CA, USA.
| | - B Eck
- Department of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, USA.
| | - M Tanaka
- Department of Radiology and Biomedical Imaging, Musculoskeletal Quantitative Imaging Research, University of California San Francisco, San Francisco, CA, USA.
| | - J A Bullen
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
| | - B J Schwaiger
- Department of Radiology and Biomedical Imaging, Musculoskeletal Quantitative Imaging Research, University of California San Francisco, San Francisco, CA, USA.
| | - J L Huebner
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
| | - T V Stabler
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
| | - V B Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
| | - C B Ma
- Department of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
| | - T M Link
- Department of Radiology and Biomedical Imaging, Musculoskeletal Quantitative Imaging Research, University of California San Francisco, San Francisco, CA, USA.
| | - X Li
- Department of Radiology and Biomedical Imaging, Musculoskeletal Quantitative Imaging Research, University of California San Francisco, San Francisco, CA, USA; Department of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, USA.
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Gaj S, Yang M, Nakamura K, Li X. Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks. Magn Reson Med 2019; 84:437-449. [PMID: 31793071 DOI: 10.1002/mrm.28111] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 12/16/2022]
Abstract
PURPOSE Fully automatic tissue segmentation is an essential step to translate quantitative MRI techniques to clinical setting. The goal of this study was to develop a novel approach based on the generative adversarial networks for fully automatic segmentation of knee cartilage and meniscus. THEORY AND METHODS Defining proper loss function for semantic segmentation to enforce the learning of multiscale spatial constraints in an end-to-end training process is an open problem. In this work, we have used the conditional generative adversarial networks to improve segmentation performance of convolutional neural network, such as UNet alone by overcoming the problems caused by pixel-wise mapping based objective functions, and to capture cartilage features during the training of the network. Furthermore, the Dice coefficient and cross entropy losses were incorporated to the loss functions to improve the model performance. The model was trained and tested on 176, 3D DESS (double-echo steady-state) knee images from the Osteoarthritis Initiative data set. RESULTS The proposed model provided excellent segmentation performance for cartilages with Dice coefficients ranging from 0.84 in patellar cartilage to 0.91 in lateral tibial cartilage, with an average Dice coefficient of 0.88. For meniscus segmentation, the model achieves 0.89 Dice coefficient for lateral meniscus and 0.87 Dice coefficient for medial meniscus. The results are superior to previously published automatic cartilage and meniscus segmentation methods based on deep learning models such as convolutional neural network. CONCLUSION The proposed UNet-conditional generative adversarial networks based model demonstrated a fully automated segmentation method with high accuracy for knee cartilage and meniscus.
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Affiliation(s)
- Sibaji Gaj
- Program of Advanced Musculoskeletal Imaging (PAMI), Department of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio
| | - Mingrui Yang
- Program of Advanced Musculoskeletal Imaging (PAMI), Department of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio
| | - Kunio Nakamura
- Program of Advanced Musculoskeletal Imaging (PAMI), Department of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio
| | - Xiaojuan Li
- Program of Advanced Musculoskeletal Imaging (PAMI), Department of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio
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Zhu J, Hu N, Liang X, Li X, Guan J, Wang Y, Wang L. T2 mapping of cartilage and menisci at 3T in healthy subjects with knee malalignment: initial experience. Skeletal Radiol 2019; 48:753-763. [PMID: 30712122 DOI: 10.1007/s00256-019-3164-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 12/10/2018] [Accepted: 01/14/2019] [Indexed: 02/02/2023]
Abstract
PURPOSE To assess the relationship between knee alignment and T2 values of femorotibial cartilage and menisci in healthy subjects at 3 T. MATERIALS AND METHODS Thirty-six healthy subjects divided into three subgroups of 12 neutral, 12 varus, and 12 valgus alignment of the femorotibial joint were investigated on 3-T MR scanner using a 2D multi-echo turbo spin-echo (TSE) sequence for T2 mapping. Wilcoxon signed-rank test and analysis of covariance (ANCOVA) were performed to determine any statistically significant differences in subregional T2 values of femorotibial cartilage and menisci among the three subgroups of healthy subjects. RESULTS Lateral femoral anterior cartilage subregion (52 ± 3 ms, mean ± standard deviation; 53 ± 2 ms) had significantly higher T2 values (p < 0.05) than medial femoral anterior cartilage subregion (51 ± 2 ms; 51 ± 2 ms) in varus and valgus groups, respectively. There were statistically significant differences (p < 0.05) in T2 values of tibial central cartilage subregion between lateral and medical compartment among varus, valgus, and neutral subgroups. Lateral body segment of meniscus (41 ± 3 ms) had significantly higher (p < 0.05) T2 values than medial body segment (40 ± 2 ms) in the varus subgroup. CONCLUSIONS Some degree of correlation between knee alignment and subregional T2 values of femorotibial cartilage and menisci exists in healthy subjects. These findings indicate that T2 mapping may be sensitive in assessing the load distribution pattern of human cartilage and menisci with knee alignment abnormality, which may be used as reference baseline when understanding the occurrence and progression of knee osteoarthritis.
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Affiliation(s)
- Jiangtao Zhu
- Department of Radiology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu Province, China.
| | - Ningfan Hu
- Department of Radiology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu Province, China
| | - Xiaoyun Liang
- Florey Institute of Neuroscience and Mental Health, 245 Burgundy Street, Heidelberg, VIC, 3084, Australia
| | - Xiaojing Li
- Department of Radiology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu Province, China
| | - Jian Guan
- Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China.,School of Radiation Medicine and Protection, Medical College of Soochow University, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China.,School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China
| | - Yajuan Wang
- Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China.,School of Radiation Medicine and Protection, Medical College of Soochow University, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China.,School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China
| | - Ligong Wang
- Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China.,School of Radiation Medicine and Protection, Medical College of Soochow University, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China.,School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Bldg. 402, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, 215123, Jiangsu Province, China
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Bone bruise in anterior cruciate ligament rupture entails a more severe joint damage affecting joint degenerative progression. Knee Surg Sports Traumatol Arthrosc 2019; 27:44-59. [PMID: 29869683 PMCID: PMC6510815 DOI: 10.1007/s00167-018-4993-4] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 05/30/2018] [Indexed: 01/13/2023]
Abstract
PURPOSE During anterior cruciate ligament (ACL) injury, the large external forces responsible for ligament rupture cause a violent impact between tibial and femoral articular cartilage, which is transferred to bone resulting in bone bruise detectable at MRI. Several aspects remain controversial and await evidence on how this MRI finding should be managed while addressing the ligament lesion. Thus, the aim of the present review was to document the evidence of all available literature on the role of bone bruise associated with ACL lesions. METHODS A systematic review of the literature was performed on bone bruise associated with ACL injury. The search was conducted in September 2017 on three medical electronic databases: PubMed, Web of Science, and the Cochrane Collaboration. Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines were used. Relevant articles were studied to investigate three main aspects: prevalence and progression of bone bruise associated with ACL lesions, its impact on the knee in terms of lesion severity and joint degeneration progression over time and, finally, the influence of bone bruise on patient prognosis in terms of clinical outcome. RESULTS The search identified 415 records and, after an initial screening according to the inclusion/exclusion criteria, 83 papers were used for analysis, involving a total of 10,047 patients. Bone bruise has a high prevalence (78% in the most recent papers), with distinct patterns related to the mechanism of injury. This MRI finding is detectable only in a minority of cases the first few months after trauma, but its presence and persistence have been correlated to a more severe joint damage that may affect the degenerative progression of the entire joint, with recent evidence suggesting possible effects on long-term clinical outcome. CONCLUSION This systematic review of the literature documented a growing interest on bone bruise associated with ACL injury, highlighting aspects which could provide to orthopaedic surgeons evidence-based suggestions in terms of clinical relevance when dealing with patients affected by bone bruise following ACL injury. However, prospective long-term studies are needed to better understand the natural history of bone bruise, identifying prognostic factors and targets of specific treatments that should be developed in light of the overall joint derangements accompanying ACL lesions. LEVELS OF EVIDENCE IV, Systematic review of level I-IV studies.
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Norman B, Pedoia V, Majumdar S. Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry. Radiology 2018; 288:177-185. [PMID: 29584598 PMCID: PMC6013406 DOI: 10.1148/radiol.2018172322] [Citation(s) in RCA: 213] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Purpose To analyze how automatic segmentation translates in accuracy and precision to morphology and relaxometry compared with manual segmentation and increases the speed and accuracy of the work flow that uses quantitative magnetic resonance (MR) imaging to study knee degenerative diseases such as osteoarthritis (OA). Materials and Methods This retrospective study involved the analysis of 638 MR imaging volumes from two data cohorts acquired at 3.0 T: (a) spoiled gradient-recalled acquisition in the steady state T1ρ-weighted images and (b) three-dimensional (3D) double-echo steady-state (DESS) images. A deep learning model based on the U-Net convolutional network architecture was developed to perform automatic segmentation. Cartilage and meniscus compartments were manually segmented by skilled technicians and radiologists for comparison. Performance of the automatic segmentation was evaluated on Dice coefficient overlap with the manual segmentation, as well as by the automatic segmentations' ability to quantify, in a longitudinally repeatable way, relaxometry and morphology. Results The models produced strong Dice coefficients, particularly for 3D-DESS images, ranging between 0.770 and 0.878 in the cartilage compartments to 0.809 and 0.753 for the lateral meniscus and medial meniscus, respectively. The models averaged 5 seconds to generate the automatic segmentations. Average correlations between manual and automatic quantification of T1ρ and T2 values were 0.8233 and 0.8603, respectively, and 0.9349 and 0.9384 for volume and thickness, respectively. Longitudinal precision of the automatic method was comparable with that of the manual one. Conclusion U-Net demonstrates efficacy and precision in quickly generating accurate segmentations that can be used to extract relaxation times and morphologic characterization and values that can be used in the monitoring and diagnosis of OA. © RSNA, 2018 Online supplemental material is available for this article.
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Affiliation(s)
- Berk Norman
- From the Department of Radiology and Biomedical Imaging and Center for Digital Health Innovation (CDHI), University of California, San Francisco, 1700 Fourth St, Suite 201, QB3 Building, San Francisco, CA 94107
| | - Valentina Pedoia
- From the Department of Radiology and Biomedical Imaging and Center for Digital Health Innovation (CDHI), University of California, San Francisco, 1700 Fourth St, Suite 201, QB3 Building, San Francisco, CA 94107
| | - Sharmila Majumdar
- From the Department of Radiology and Biomedical Imaging and Center for Digital Health Innovation (CDHI), University of California, San Francisco, 1700 Fourth St, Suite 201, QB3 Building, San Francisco, CA 94107
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Saltzman BM, Cotter EJ, Stephens JP, Cvetanovich GL, Madden B, Wang K, Yanke AB, Cole BJ. Preoperative Tibial Subchondral Bone Marrow Lesion Patterns and Associations With Outcomes After Isolated Meniscus Allograft Transplantation. Am J Sports Med 2018; 46:1175-1184. [PMID: 29382216 DOI: 10.1177/0363546517751690] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND The association between preoperative tibial subchondral bone marrow lesion (BML) patterns and outcomes after isolated meniscus allograft transplantation (MAT) are unknown. PURPOSE To determine (1) if a superior classification means exists (ie, high interrater reliability [IRR]) for grading tibial subchondral BML before isolated MAT and (2) whether quality and/or severity of preoperative tibial subchondral BML patterns was associated with clinical outcomes and/or failure rates after isolated MAT. STUDY DESIGN Cohort study; Level of evidence, 3. METHODS All patients who underwent isolated MAT with a single surgeon between October 2006 and February 2017 were identified. Three means were evaluated to quantify the degree of subchondral BML in the affected tibial-sided compartment: Welsch et al, based on maximum diameter of the lesion; Costa-Paz et al, based on appearance and location of the lesion; and Filardo et al, based on severity of findings. IRR was generated and compared among the 3 classifications. The preoperative magnetic resonance imaging (MRI) subchondral BML grading scheme with the highest IRR was then used to assess for associations with postoperative outcomes for those patients with >2-year follow-up, per a Spearman correlation matrix with each reviewer's grades. RESULTS In total, 60 MRI scans were available for subchondral BML grading. Grader 1 identified the presence of subchondral BML in the tibia of the affected compartment in 40 (66.7%) of the available MRI scans, as compared with 38 (63.3%) for grader 2. The calculated IRRs with the Welsch et al and Costa-Paz et al classifications were rated "strong/almost perfect" agreement. A significant correlation was demonstrated between grader 1 with the Welsch et al grading scheme and outcome measures of KOOS pain (Knee injury and Osteoarthritis Outcome Score; negative correlation, P = .05), WOMAC pain (Western Ontario and McMaster Universities Osteoarthritis Index; positive correlation, P = .026), and Marx Activity Rating Scale (negative correlation, P = .019). A significant correlation was demonstrated between grader 2 with the Costa-Paz et al grading scheme and postoperative satisfaction (positive correlation, P = .018). There were no significant differences in survivorship based on gradings. CONCLUSION Nearly two-thirds of patients who undergo isolated MAT have subchondral BML on preoperative MRI. Our findings suggest that increasing BML size (Welsch et al) is correlated with worse postoperative pain measures (KOOS pain, WOMAC pain) and worse activity ratings (Marx Activity Rating Scale). Additionally, increasing disruption or depression of the normal contour of the cortical surface, with or without lesion contiguity with the subjacent articular surface (Costa-Paz et al), is correlated with greater postoperative satisfaction.
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Affiliation(s)
- Bryan M Saltzman
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Eric J Cotter
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Jeffrey P Stephens
- Department of Orthopedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA
| | - Gregory L Cvetanovich
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Brett Madden
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Kevin Wang
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Adam B Yanke
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Brian J Cole
- Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA
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