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Bo K, Xie X, Liu X, Ou J, Zhang Y, Wang X, Yang S, Zhang W, Zhang L, Chang J. Predicting incident radiographic knee osteoarthritis through quantitative meniscal lesion parameters: data from the osteoarthritis initiative. BMC Musculoskelet Disord 2024; 25:626. [PMID: 39107768 PMCID: PMC11304704 DOI: 10.1186/s12891-024-07706-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 07/18/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND This study investigates the potential of novel meniscal parameters as predictive factors for incident radiographic knee osteoarthritis (ROA) over a span of four years, as part of the Osteoarthritis Initiative (OAI) study. OBJECTIVES Quantitative measurements of meniscal parameters alteration could serve as predictors of OA's occurrence and progression. METHODS AND MATERIALS A nested matched case-control study design was used to select participants from OAI study. Case knees (n = 178) were defined as those with incident ROA (Kellgren Lawrence Grade (KLG) 0 or 1 at baseline (BL), evolving into KLG 2 or above by year 4). Control knees were matched one-to-one by sex, age and radiographic status with case knees. The mean distance from medial-to-lateral meniscal lesions [Mean(MLD)], mean value of tibial plateau width [Mean(TPW)] and the mean of the relative percentage of the medial-to-lateral meniscal lesions distance [Mean(RMLD)] were evaluated through coronal T2-weighted turbo spin echo (TSE) MRI at P-0 (visit when incident ROA was found on radiograph), P-1(one year prior to P-0) and baseline, respectively. Using the imaging data of one patient, the mechanism was investigated by finite element analysis. RESULTS Participants were on average 60.22 years old, predominantly female (66.7%) and overweight (mean BMI: 28.15). Mean(MLD) and Mean(RMLD) were significantly greater for incident knees compared to no incident knees at baseline, P-1 and P-0. [Mean(MLD), Mean(RMLD); (42.56-49.73) mean ± (7.70-9.52) mm SD vs. (38.14-40.78) mean ± (5.51-7.05)mm SD; (58.61-68.95) mean ± (8.52-11.40) mm SD vs. (52.52-56.35) mean ± (6.53-7.85)mm SD, respectively]. Baseline Mean(MLD) and Mean(RMLD), [Adjusted OR, 95%CI: 1.11(1.07 to 1.16) and 1.13(1.09 to 1.17), respectively], were associated with incident ROA during 4 years, However, Mean(TPW) [Adjusted OR, 95%CI: 0.98(0.94 to 1.02)] was not associated with incident ROA during 4 years. While Mean(TPW) at P-1 and P-0 was not associated with the risk of incident ROA, Mean(MLD) and Mean(RMLD) at P-1 and P-0 were significantly positively associated with the risk of incident ROA. CONCLUSIONS The meniscal parameters alteration could be an important imaging biomarker to predict the occurrence of ROA.
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Affiliation(s)
- Kaida Bo
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China
| | - Xiangpeng Xie
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China
| | - Xin Liu
- School of Basic Medical Sciences, Anhui Medical University, Hefei, 230000, China
| | - Jianliang Ou
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China
| | - Yuanyi Zhang
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China
| | - Xu Wang
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China
| | - Shuo Yang
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China
| | - Wei Zhang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, 230000, China
| | - Lelei Zhang
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China
| | - Jun Chang
- The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
- School of Basic Medical Sciences, Anhui Medical University, Hefei, 230000, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, School of Life Sciences, Anhui Medical University, Hefei, 230000, China.
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Jiang X, Xie K, Chen H, Zhang K, Hu Y, Kan T, Sun L, Ai S, Zhu X, Zhang L, Yan M, Wang L. A Radiographic Analysis of Coronal Morphological Parameters of Lower Limbs in Chinese Non-knee Osteoarthritis Populations. Orthop Surg 2024; 16:452-461. [PMID: 38088238 PMCID: PMC10834221 DOI: 10.1111/os.13952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/22/2023] [Accepted: 10/24/2023] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVES Analyzing the lower limb coronal morphological parameters in populations without knee osteoarthritis (KOA) holds significant value in predicting, diagnosing, and formulating surgical strategies for KOA. This study aimed to comprehensively analyze the variability in these parameters among Chinese non-KOA populations, employing a substantial sample size. METHODS A cross-sectional retrospective analysis was performed on the Chinese non-KOA populations (n = 407; 49.9% females). The study employed an in-house developed artificial intelligence software to meticulously assess the coronal morphological parameters of all 814 lower limbs. The parameters evaluated included the hip-knee-ankle angle (HKAA), weight-bearing line ratio (WBLR), joint line convergence angle (JLCA), mechanical lateral-proximal-femoral angle (mLPFA), mechanical lateral-distal-femoral angle (mLDFA), mechanical medial-proximal-tibial angle (mMPTA), and mechanical lateral-distal-tibial angle (mLDTA). Differences in these parameters were compared between left and right limbs, different genders, and different age groups (with 50 years as the cut-off point). RESULTS HKAA and JLCA exhibited left-right differences (left vs. right: 178.2° ± 3.0° vs. 178.6° ± 2.9° for HKAA, p = 0.001; and 1.8° ± 1.5° vs. 1.4° ± 1.6° for JLCA, p < 0.001); except for the mLPFA, all other parameters show gender-related differences (male vs. female: 177.9° ± 2.8° vs. 179.0° ± 3.0° for HKAA, p < 0.001; 1.5° ± 1.5° vs. 1.8° ± 1.7° for JLCA, p = 0.003; 87.1° ± 2.1° vs. 88.1° ± 2.1° for mMPTA, p < 0.001; 90.2° ± 4.0° vs. 91.1° ± 3.2° for mLDTA, p < 0.001; 38.7% ± 12.9% vs. 43.6% ± 14.1% for WBLR, p < 0.001; and 87.7° ± 2.3° vs. 87.4° ± 2.7° for mLDTA, p = 0.045); mLPFA increase with age (younger vs. older: 90.1° ± 7.2° vs. 93.4° ± 4.9° for mLPFA, p < 0.001), while no statistical difference exists for other parameters. CONCLUSIONS There were differences in lower limb coronal morphological parameters among Chinese non-KOA populations between left and right sides, different genders, and age.
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Affiliation(s)
- Xu Jiang
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Kai Xie
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Hongyu Chen
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Kai Zhang
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Yuqi Hu
- School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Tianyou Kan
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Lin Sun
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Songtao Ai
- Department of RadiologyShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Xianping Zhu
- Department of Orthopaedic SurgeryTaizhou Central HospitalTaizhouChina
| | - Lichi Zhang
- School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Mengning Yan
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
| | - Liao Wang
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic SurgeryShanghai Jiao Tong University of Medicine affiliated Ninth People's HospitalShanghaiChina
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3
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Decision-making factors and their thresholds for total knee arthroplasty in lateral tibiofemoral osteoarthritis patients: a retrospective cohort study. Knee Surg Relat Res 2022; 34:41. [PMID: 36274181 PMCID: PMC9590191 DOI: 10.1186/s43019-022-00168-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND There has been no study examining lateral tibiofemoral (TF) osteoarthritis (OA) and objective decision-making factors affecting when patients decide to have total knee arthroplasty (TKA). The purpose of this study was to assess which factors and their thresholds cause patients with lateral TF OA to decide on TKA. METHODS We conducted a retrospective cohort study and identified patients who had initially been diagnosed with isolated lateral TF OA from October 2004 to February 2021. We finally included 56 patients; patients who had chosen conservative treatment followed by in-depth interviews for the deliberation stage (n = 32), and the other patients who decided to undergo TKA for the decision-making stage (n = 24). Demographic, clinical, and radiographic characteristics were considered candidate predictive factors. Radiographic variables included the Ahlbäck grade, hip-knee-ankle (HKA) angle, joint line convergence angle (JLCA), and TF subluxation. Univariate and multivariate logistic regression analyses were performed. RESULTS Clinically, the pain visual analog scale (VAS) score was significantly higher and the knee flexion angle was lower at the decision-making stage. Radiographic measurements showed that the Ahlbäck grade, HKA angle, JLCA, and TF subluxation measured at the center, in addition to the tibiotalar angle, differed statistically between the two stages. According to univariate analyses, two clinical characteristics and six radiographic variables on the ipsilateral side of the leg, and one radiographic variable on the contralateral side of the leg were included as factors influencing the patients' decision to undergo TKA. After making adjustments based on multivariate analysis, the ipsilateral knee pain VAS (OR = 1.61; 95% CI = 1.14-2.28, p = 0.007) and medial TF subluxation measured at the center (OR = 1.14, 95% CI = 1.01-1.32, p = 0.072) were found to be significant factors for choosing TKA. The area under the curve (AUC) for pain VAS was 0.757 and the cutoff value was 4.5. The AUC for TF subluxation measured at the center was 0.697 and the cutoff value was -4.10% of medial TF subluxation. CONCLUSION Higher ipsilateral knee pain VAS and more severe medial TF subluxation measured at the center were independent factors affecting patient decisions to undergo TKA with lateral TF OA. Understanding the determining factors that may affect patient decision-making when considering TKA may be an essential aspect of evaluating the prognosis of patients with lateral TF OA. LEVEL OF EVIDENCE III.
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Zhao Y, Zhu Z, Lu M, Chang J, Zheng S, Kent Kwoh C, Hunter DJ, Ding C. Irregular types of proximal tibiofibular joint increase the risk of total knee replacement: Data from the osteoarthritis initiative. J Orthop Res 2022; 40:1787-1793. [PMID: 34727375 DOI: 10.1002/jor.25204] [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: 02/10/2020] [Revised: 08/15/2021] [Accepted: 10/19/2021] [Indexed: 02/04/2023]
Abstract
The study aimed to determine the associations between the morphological types of proximal tibiofibular joint (PTFJ) and the risk of total knee replacement (TKR) in a cohort of participants with progressive osteoarthritis. A nested case-control design was performed in Osteoarthritis Initiative study. The case knees were those with TKR at 24-60 months follow up (cases), and were 1:1 matched with control knees by age, sex, and Kellgren-Lawrence grade at baseline. The morphological type of each PTFJ was identified according to the coronal and sagittal MR images. Conditional logistic regression models were used to examine the association of the PTFJ types with the risk of TKR at baseline and the time point before TKR (T0 ). A total of 193 case knees at baseline and 148 case knees at T0 time point had matched controls between 12 and 60 M. Seven types of the PTFJ were identified and classified into three categories: plane, trochoid, and irregular types. The prevalence of the irregular type was higher in case knees than in controls both at baseline (cases vs. controls, 35.8% vs. 26.9%) and at T0 time point (cases vs. controls, 33.1% vs. 27.0%). The irregular type of the PTFJ at baseline (odds ratio: 1.62, 95% confidence interval: 1.01-2.59) rather than at T0 time point was significantly associated with increased odds of TKR. The irregular types of the PTFJ at baseline are associated with increased risk of TKR, suggesting PTFJ may play a role in knee osteoarthritis.
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Affiliation(s)
- Yi Zhao
- Department of Rheumatology & Allergy, Xuanwu Hospital, Capital Medical University, Beijing, China.,Clinical Research Centre, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Zhaohua Zhu
- Clinical Research Centre, Zhujiang Hospital of Southern Medical University, Guangzhou, China.,Department of Orthopaedics, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Ming Lu
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Department of Orthopaedics, the First Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Jun Chang
- Department of Orthopaedics, the Fourth Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Shuang Zheng
- Clinical Research Centre, Zhujiang Hospital of Southern Medical University, Guangzhou, China.,Department of Orthopaedics, the First Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Chian Kent Kwoh
- University of Arizona Arthritis Center & Division of Rheumatology, University of Arizona College of Medicine, Tucson, Arizona, USA
| | - David J Hunter
- Department of Rheumatology, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Australia
| | - Changhai Ding
- Clinical Research Centre, Zhujiang Hospital of Southern Medical University, Guangzhou, China.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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5
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Allen KD, Thoma LM, Golightly YM. Epidemiology of osteoarthritis. Osteoarthritis Cartilage 2022; 30:184-195. [PMID: 34534661 PMCID: PMC10735233 DOI: 10.1016/j.joca.2021.04.020] [Citation(s) in RCA: 227] [Impact Index Per Article: 113.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 04/01/2021] [Accepted: 04/19/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To summarize the current state of the evidence regarding osteoarthritis (OA) prevalence, incidence and risk factors at the person-level and joint-level. DESIGN This was a narrative review that took a comprehensive approach regarding inclusion of potential risk factors. The review complements prior reviews of OA epidemiology, with a focus on new research and emerging topics since 2017, as well as seminal studies. RESULTS Studies continue to illustrate the high prevalence of OA worldwide, with a greater burden among older individuals, women, some racial and ethnic groups, and individuals with lower socioeconomic status. Modifiable risk factors for OA with the strongest evidence are obesity and joint injury. Topics of high interest or emerging evidence for a potential association with OA risk or progression include specific vitamins and diets, high blood pressure, genetic factors, metformin use, bone mineral density, abnormal joint shape and malalignment, and lower muscle strength/quality. Studies also continue to highlight the heterogenous nature of OA, with strong interest in understanding and defining OA phenotypes. CONCLUSIONS OA is an increasingly prevalent condition with worldwide impacts on many health outcomes. The strong evidence for obesity and joint injury as OA risk factors calls for heightened efforts to mitigate these risks at clinical and public health levels. There is also a need for continued research regarding how potential person- and joint-level risk factors may interact to influence the development and progression of OA.
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Affiliation(s)
- K D Allen
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Center for Health Services Research in Primary Care, Department of Veterans Affairs Medical Center, Durham, NC, USA.
| | - L M Thoma
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Physical Therapy, Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Y M Golightly
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Physical Therapy, Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Injury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Oei EHG, Hirvasniemi J, van Zadelhoff TA, van der Heijden RA. Osteoarthritis year in review 2021: imaging. Osteoarthritis Cartilage 2022; 30:226-236. [PMID: 34838670 DOI: 10.1016/j.joca.2021.11.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/16/2021] [Accepted: 11/11/2021] [Indexed: 02/02/2023]
Abstract
PURPOSE To provide a narrative review of original articles on imaging of osteoarthritis (OA) published between January 1, 2020 and March 31, 2021, with a special focus on imaging of inflammation, imaging of bone, cartilage and bone-cartilage interactions, imaging of peri-articular tissues, imaging scoring methods for OA, and artificial intelligence (AI) applied to OA imaging. METHODS The Embase, Pubmed, Medline, Cochrane databases were searched for original research articles in the English language on human, in vivo, imaging of OA published between January 1, 2020 and March 31, 2021. Search terms related to osteoarthritis combined with all imaging modalities and artificial intelligence were applied. A selection of articles reporting on one of the focus topics was discussed further. RESULTS The search resulted in 651 articles, of which 214 were deemed relevant to human OA imaging. Among the articles included, the knee joint (69%) and magnetic resonance imaging (MRI) (52%) were the predominant anatomical area and imaging modality studied. There were also a substantial number of papers (n = 46) reporting on AI applications in the field of OA imaging. CONCLUSION Imaging continues to play an important role in the assessment of OA. Recent advances in OA imaging include quantitative, non-contrast, and hybrid imaging techniques for improved characterization of multiple tissue processes in OA. In addition, an increasing effort in AI techniques is undertaken to enhance OA imaging acquisition and analysis.
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Affiliation(s)
- E H G Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - J Hirvasniemi
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - T A van Zadelhoff
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - R A van der Heijden
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
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Zhao Y, Zhu Z, Chang J, Wang G, Zheng S, Kwoh CK, Lynch J, Hunter DJ, Ding C. Predictive value of the morphology of proximal tibiofibular joint for total knee replacement in patients with knee osteoarthritis. J Orthop Res 2021; 39:1289-1296. [PMID: 32940927 DOI: 10.1002/jor.24862] [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] [Received: 04/30/2020] [Revised: 08/06/2020] [Accepted: 09/14/2020] [Indexed: 02/04/2023]
Abstract
The association between proximal tibiofibular joint (PTFJ) and knee osteoarthritis (OA) has been understudied. The objective of this study was to determine whether the morphology of PTFJ has predictive value for the risk of total knee replacement (TKR). Case knees from Osteoarthritis Initiative participants with TKR at 24-60 months follow up (cases) were 1:1 matched with control knees (no TKR throughout 60 months) by baseline age, sex, and Kellgren-Lawrence grade. PTFJ morphological parameters, including coronal inclination angle (angle α), sagittal inclination angle (angle β), fibular contacting area (S), load-bearing area (Sτ), lateral stress-bolstering area (Sφ), and posterior stress-bolstering area (Sυ) were assessed using coronal and sagittal magnetic resonance imaging (MRI), respectively. Associations of the morphological measures at baseline and the time point before TKR (T0 ) and their changes with TKR risks were examined using conditional logistic regression analyses. Two hundred and twenty-three knees of 193 participants received TKR between 12 and 60 months and therefore were matched with 223 control knees. Of these, 173 paired knees had MRI readings available both at baseline and T0 time point. While baseline angle α was positively associated with TKR risk, other measures at baseline and all measures at T0 were not significantly associated with TKR risk. Changes in S, Sτ, and Sυ were significantly and negatively associated with the risk of TKR (ΔS, odds ratio [OR] = 0.38, 95% confidence interval [CI]: 0.19-0.76; ΔSτ, OR = 0.37, 95% CI: 0.16-0.87; ΔSυ, OR = 0.22, 95% CI: 0.08-0.62, respectively). This data shows that morphological changes of PTFJ predict the risk of TKR, suggesting PTFJ may play a role in knee OA.
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Affiliation(s)
- Yi Zhao
- Department of Rheumatology and Allergy, Xuanwu Hospital, Capital Medical University, Beijing, China.,Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhaohua Zhu
- Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Jun Chang
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Department of Orthopaedics, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Guoliang Wang
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Shuang Zheng
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - C Kent Kwoh
- Division of Rheumatology, The University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, Arizona, USA
| | - John Lynch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - David J Hunter
- Department of Rheumatology, Royal North Shore Hospital, Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia
| | - Changhai Ding
- Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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Qi XZ, Wang M, Zhang B, Nie MD, Ma XY, Wang HZ, Wang XH, Cheng CK, Zhang M. Association Between the Morphology of Proximal Tibiofibular Joint and the Presence of Knee OA. Front Bioeng Biotechnol 2021; 8:610763. [PMID: 33392175 PMCID: PMC7775501 DOI: 10.3389/fbioe.2020.610763] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 11/30/2020] [Indexed: 11/16/2022] Open
Abstract
Objective: The aim of this study was to evaluate the association between the morphology of the proximal tibiofibular joint (PTFJ) and the presence of knee osteoarthritis (OA). Methods: Twenty-eight OA subjects and 30 healthy subjects were enrolled in this study. A 3D model of the lower limb of each subject was constructed from CT scans and used to measure the characteristics of the PTFJ, including the shape of the articular facets, articular surface area, joint inclination, relative articular height, and joint declination. The association between the characteristics of the PTFJ and presence of knee OA was assessed using binomial logistic regression analysis. Results: There was a significant difference between the OA and healthy groups in terms of the inclination (p = 0.028) and declination (p = 0.020) of the PTFJ and relative articular height (p = 0.011). A greater inclination angle (OR: 1.463, 95% CI: 1.124–1.582, p = 0.021), greater declination angle (OR: 1.832, 95% CI: 1.691–2.187, p = 0.009), and lower relative articular height (OR: 0.951, 95% CI: 0.826–0.992, p = 0.008) were found to be associated with an increased likelihood of knee OA being present. Conclusion: The results of this study suggest that abnormal PTFJ morphology is associated with the presence of knee OA.
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Affiliation(s)
- Xin-Zheng Qi
- Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Min Wang
- Department of Orthopaedics, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Bo Zhang
- Department of Orthopaedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Mao-Dan Nie
- Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xiao-Ying Ma
- Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Hui-Zhi Wang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao-Hong Wang
- Beijing Medical Implant Engineering Research Center, Beijing Naton Technology Group Co. Ltd., Beijing, China
| | - Cheng-Kung Cheng
- Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Min Zhang
- Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
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