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Zhang T, Huang S, Guo Y, Jin J, Yan W, Wang P, Fang Y, Liu Y, Pan Y, Fan Z, Yu H. Effectiveness of tumor necrosis factor inhibitors in children with enthesitis-related arthritis: a single-center retrospective analysis. Front Pediatr 2023; 11:1122233. [PMID: 37303752 PMCID: PMC10250637 DOI: 10.3389/fped.2023.1122233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 05/15/2023] [Indexed: 06/13/2023] Open
Abstract
Objective In children with enthesitis-related arthritis (ERA), the hip and sacroiliac joint function might be impaired if not properly treated. We sought to evaluate the effectiveness of anti-tumor necrosis factor-α (TNF-α) therapy using the inflammatory indicators, Juvenile Arthritis Disease Activity Score 27 (JADAS27) and magnetic resonance imaging (MRI). Methods We conducted a single-center retrospective study of 134 patients with ERA. We evaluated the effect of anti-TNF therapy on the inflammatory indicators, active joint count, MRI quantitative score, and JADAS27 over 18 months. We used the Spondyloarthritis Research Consortium of Canada (SPARCC) and the Hip Inflammation MRI Scoring System (HIMRISS) scoring systems for hip and sacroiliac joints scoring. Results The average age of onset of children with ERA was 11.62 ± 1.95 years, and they were treated with disease-modifying antirheumatic drugs (DMARDs) combined with biologics (n = 87, 64.93%). There were no differences in HLA-B27 positivity between the biologics and non-biologics treatment groups [66 (49.25%) vs. 68 (50.75%), P > 0.05]. Children who received anti-TNF (71 received etanercept, 13 adalimumab, 2 golimumab, and 1 infliximab) therapy improved significantly. Children with ERA used DMARDs and biologics at baseline (Group A) were followed up to 18 months, and their active joint count (4.29 ± 1.99 vs. 0.76 ± 1.33, P = 0.000), JADAS27 (13.70 ± 4.80 vs. 4.53 ± 4.52, P = 0.000) and MRI quantitative scores (P = 0.001) were significantly lower than those at baseline. Some of the patients (n = 13, 9.70%) were treated with DMARDs at the onset of the disease, but did not show significant improvement (Group B). After 6-18 months of switching to anti-TNF therapy, related indicators of the children were significantly lower than at baseline and 1 month (P < 0.013). At 18 months, a total of 33 patients (n = 74, 44.59%) in Group A and 7 (n = 13, 53.85%) in Group B reached inactive state. Conclusion Eighteen months after diagnosis, anti-TNF therapy was found to be effective in children diagnosed with ERA. MRI is important for the early diagnosis of juvenile idiopathic arthritis. TNF-α inhibitors can significantly improve the clinical manifestations of sacroiliac joint and hip involvement in patients with ERA. Overall, the real-world study provides more evidence for precision diagnosis and treatment for other hospitals, families and patients.
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Affiliation(s)
- Tonghao Zhang
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Shuoyin Huang
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yanli Guo
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Jing Jin
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Wu Yan
- Department of Child Health Care, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Panpan Wang
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yuying Fang
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yingying Liu
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yuting Pan
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Zhidan Fan
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Haiguo Yu
- Department of Rheumatology and Immunology, Children’s Hospital of Nanjing Medical University, Nanjing, China
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Zheng Y, Bai C, Zhang K, Han Q, Guan Q, Liu Y, Zheng Z, Xia Y, Zhu P. Deep-learning based quantification model for hip bone marrow edema and synovitis in patients with spondyloarthritis based on magnetic resonance images. Front Physiol 2023; 14:1132214. [PMID: 36935744 PMCID: PMC10020192 DOI: 10.3389/fphys.2023.1132214] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 02/20/2023] [Indexed: 03/06/2023] Open
Abstract
Objectives: Hip inflammation is one of the most common complications in patients with spondyloarthritis (SpA). Herein, we employed use of a deep learning-based magnetic resonance imaging (MRI) evaluation model to identify irregular and multiple inflammatory lesions of the hip. Methods: All of the SpA patients were enrolled at the Xijing Hospital. The erythrocyte sediment rate (ESR), C-reactive protein (CRP), hip function Harris score, and disease activity were evaluated by clinicians. Manual MRI annotations including bone marrow edema (BME) and effusion/synovitis, and a hip MRI scoring system (HIMRISS) assessment was performed by experienced musculoskeletal radiologists. The segmentation accuracies of four deep learning models, including U-Net, UNet++, Attention-Unet, and HRNet, were compared using five-fold cross-validation. The clinical agreement of U-Net was evaluated with clinical symptoms and HIMRISS results. Results: A total of 1945 MRI slices of STIR/T2WI sequences were obtained from 195 SpA patients with hip involvement. After the five-fold cross-validation, U-Net achieved an average segmentation accuracy of 88.48% for the femoral head and 69.36% for inflammatory lesions, which are higher than those obtained by the other three models. The UNet-score, which was calculated based on the same MRI slices as HIMRISS, was significantly correlated with the HIMRISS scores and disease activity indexes (p values <0.05). Conclusion: This deep-learning based automatic MRI evaluation model could achieve similar quantification performance as an expert radiologist, and it has the potential to improve the accuracy and efficiency of clinical diagnosis for SpA patients with hip involvement.
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Affiliation(s)
- Yan Zheng
- Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- National Translational Science Center for Molecular Medicine, Xi’an, China
| | - Chao Bai
- National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China
| | - Kui Zhang
- Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- National Translational Science Center for Molecular Medicine, Xi’an, China
| | - Qing Han
- Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- National Translational Science Center for Molecular Medicine, Xi’an, China
| | - Qingbiao Guan
- National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China
| | - Ying Liu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Zhaohui Zheng
- Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- National Translational Science Center for Molecular Medicine, Xi’an, China
| | - Yong Xia
- National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China
| | - Ping Zhu
- Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- National Translational Science Center for Molecular Medicine, Xi’an, China
- *Correspondence: Ping Zhu,
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Zhang K, Zheng Y, Han Q, Liu Y, Wang W, Ding J, Wang Y, Zhang B, Jia J, Zheng M, Zheng Z, Zhu P. The Clinical and MRI Effect of TNF-α Inhibitors in Spondyloarthritis Patients With Hip Involvement: A Real-World Observational Clinical Study. Front Immunol 2021; 12:740980. [PMID: 34659233 PMCID: PMC8511713 DOI: 10.3389/fimmu.2021.740980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/03/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives Hip involvement is an important cause of disability and poor prognosis in patients with spondyloarthritis (SpA). Tumor necrosis factor (TNF)-α inhibitor treatment has been demonstrated to be effective in SpA patients with hip arthritis; however, quantitative assessment using MRI in long-term follow-up needs further application and observation. Methods A total of 239 patients were involved in this study. Methotrexate and sulfasalazine were given as basic treatment. In total, 165 patients received TNF-α inhibitors plus basic treatment, and 74 received basic treatment only, as controls. Clinical symptoms were assessed at baseline and at weeks 12, 24, and 52. MRI performances of hip arthritis, including bone marrow edema (BME) and synovitis, were quantitatively assessed using the Hip Inflammation MRI Scoring System (HIMRISS). Results The clinical values of erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Harris hip score, and Ankylosing Spondylitis Disease Activity Score (ASDAS)-ESR in both groups showed significant clinical remission at week 52 (p < 0.001). However, the change in disease activity levels at week 52 in the control group was significantly worse than in the TNF-α inhibitor group. At week 52, MRI showed a significant remission trend in the TNF-α inhibitor group versus baseline, and total HIMRISS scores were significantly decreased (26.49 ± 10.37 vs. 20.59 ± 9.41, p < 0.001); the control group only had slight improvement (p < 0.05). Conclusions TNF-α inhibitors could significantly improve clinical and MRI manifestations of hip involvement in patients with SpA. Quantitative MRI assessment combined with clinical assessment can be used to accurately evaluate the treatment effect of TNF-α in SpA patients with hip involvement to help guide targeted treatment.
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Affiliation(s)
- Kui Zhang
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Yan Zheng
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Qing Han
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Ying Liu
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Weitao Wang
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Jin Ding
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Yan Wang
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Bei Zhang
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Junfeng Jia
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Minwen Zheng
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Zhaohui Zheng
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
| | - Ping Zhu
- Department of Clinical Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,National Translational Science Center for Molecular Medicine, Xi'an, China
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Man S, Zhang L, Bian T, Li H, Ma Z, Zhou Y. Assessment of hip involvement in patients with ankylosing spondylitis: reliability and validity of the Hip Inflammation MRI Scoring System. BMC Musculoskelet Disord 2021; 22:705. [PMID: 34404369 PMCID: PMC8371884 DOI: 10.1186/s12891-021-04502-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 06/07/2021] [Indexed: 11/10/2022] Open
Abstract
Background This study aimed to test the reliability and validity of the Hip Inflammation MRI Scoring System (HIMRISS) in assessing hip involvement of AS patients with AS at different stages of the bath ankylosing spondylitis radiology index (BASRI-hip) scoring system. Methods Fifty-two outpatients with ankylosing spondylitis (AS) were included in this study. The subjects’ data includes demographics, clinical characteristics, disease activity score, and functional index. Based on the Harris hip scoring (HHS) of involved hip and BASRI-hip score, we devided these patients into no hip involvement group((HHS ≥ 80 and BASRI ≤ 1) (Group A), mild hip involvement subgroup (BASRI = 2 or BASRI ≤ 1 and HHS ≤ 79) (Group B), and moderate to advanced hip involvement subgroup (BASRI ≥ 3) (Group C). Data was analyzed statistically by SPSS software. Results In total of 44 patients (88 hips), group A consisted of 21 hips, group B consisted of 42 hips and group C consisted of 25 hips. The test–retest intraclass correlation coefficients (ICCs) in four raters were 0.955 ~ 0.977 and interrater ICC was 0.993. HIMRISS correlated moderately with the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) (r = 0.540, p < 0.001), the Bath ankylosing spondylitis functional index (BASFI) (r = 0.540, p < 0.001), the Bath Ankylosing Spondylitis Functional Index (BASFI) (r = 0.581, p < 0.001), ASDAS-ESR (r = 0.604, p < 0.001), and Ankylosing Spondylitis Disease Activity Score (ASDAS)-C reactive protein (CRP) (r = 0.575, p < 0.001). HIMRISS in groups B and C was significantly higher than that in group A: 29.38 (17.00, 40.94) vs. 14.50 (11.38, 22.25), p = 0.009; 38 (31.13, 64.38) vs 14.50 (11.38, 22.25), p < 0.001. Conclusions HIMRISS applied to patients with AS demonstrated a satisfactory reliability, meaning it is a reliable quantitive assessment tool for evaluating early hip involvement in patients with AS.
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Affiliation(s)
- Siliang Man
- Department of Rheumatology, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, 100035, Beijing, China
| | - Liang Zhang
- Department of Orthopedics, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, 100035, Beijing, China
| | - Tao Bian
- Department of Orthopedics, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, 100035, Beijing, China
| | - Hongchao Li
- Department of Rheumatology, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, 100035, Beijing, China
| | - Zhuyi Ma
- Department of Orthopedics, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, 100035, Beijing, China
| | - Yixin Zhou
- Department of Orthopedics, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, 100035, Beijing, China.
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Weidekamm C, Teh J. [Inflammatory changes of the hip joint]. Radiologe 2021; 61:307-320. [PMID: 33575819 PMCID: PMC7910364 DOI: 10.1007/s00117-021-00811-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/14/2021] [Indexed: 11/20/2022]
Abstract
Die Osteoarthrose ist die häufigste Ursache für den Hüftschmerz des Erwachsenen. Daher wird anderen Ursachen wie z. B. Entzündungen weniger Beachtung für den Gelenkschmerz in der Erstdiagnose geschenkt. Dieser Artikel gibt eine Übersicht von unterschiedlichen rheumatologischen Erkrankungen der Hüfte und deren Interpretation in der Bildgebung. Die Vor- und Nachteile der einzelnen bildgebenden Verfahren werden anhand der pathologischen Befunde für die rheumatologischen Erkrankungen erläutert.
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Affiliation(s)
- Claudia Weidekamm
- Universitätsklinik für Radiologie und Nuklearmedizin, Klinische Abteilung für Neuroradiologie und Muskuloskelettale Radiologie, Medizinische Universität Wien, Währinger Gürtel 18-20, A-1090, Wien, Österreich.
| | - James Teh
- Department of Radiology, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Trust, Windmill Road, Headington, OX3 7LD, Oxford, Großbritannien
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Huang ZX, Deng WM, Zheng SL, Guo X, Zeng SQ, Li TW. Magnetic resonance imaging in ankylosing spondylitis: reduction of active sacroiliitis and hip arthritis during treatment with an adalimumab biosimilar. Clin Rheumatol 2021; 40:2099-2101. [PMID: 33559010 DOI: 10.1007/s10067-021-05628-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/11/2021] [Accepted: 01/31/2021] [Indexed: 11/25/2022]
Affiliation(s)
- Zhi-Xiang Huang
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, No 466 Xingangzhong Road, Guangzhou, 510317, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Wei-Ming Deng
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, No 466 Xingangzhong Road, Guangzhou, 510317, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shao-Ling Zheng
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, No 466 Xingangzhong Road, Guangzhou, 510317, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xin Guo
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, No 466 Xingangzhong Road, Guangzhou, 510317, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shao-Qing Zeng
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Tian-Wang Li
- Department of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, No 466 Xingangzhong Road, Guangzhou, 510317, China.
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
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