x
Volume 47 Issue 3
Mar.  2024
Turn off MathJax
Article Contents
Article Navigation >  Journal of Molecular Imaging  > 2024  >  47(3): 277-281
LI Xiaojun, LI Xuebing, CHEN Yidi, YAO Peng, YANG Zao, HU Chunyang, GONG Yan. Value of MRI diagnosis of degenerative knee joint lesions and its imaging features[J]. Journal of Molecular Imaging, 2024, 47(3): 277-281. doi: 10.12122/j.issn.1674-4500.2024.03.09
Citation: LI Xiaojun, LI Xuebing, CHEN Yidi, YAO Peng, YANG Zao, HU Chunyang, GONG Yan. Value of MRI diagnosis of degenerative knee joint lesions and its imaging features[J]. Journal of Molecular Imaging, 2024, 47(3): 277-281. doi: 10.12122/j.issn.1674-4500.2024.03.09
shu

Value of MRI diagnosis of degenerative knee joint lesions and its imaging features

doi: 10.12122/j.issn.1674-4500.2024.03.09
  • 1.

    Department of Radiology, Minda Hospital of Hubei Minzu University, Enshi 445099, China

  • 2.

    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610044, China

  • Received Date: 2023-12-22
    Available Online: 2024-04-17
  • Publish Date: 2024-03-20
    Abstract
  •   Objective   To explore the changes in MRI imaging features of degenerative lesions of the knee joint and analyze the diagnostic value of MRI quantitative indicators for it.   Methods   A total of 162 patients with suspected degenerative lesions of the knee joint who were admitted to Minda Hospital, Hubei University for Nationalities from February 2019 to April 2023 were selected. Before examination, patients rested for 30 min before undergoing MRI scans, and measured the T1, T2, T2* values of the medial and lateral condyles, as well as the patellar fat fraction (FF) values. Knee arthroscopy was performed within 1 week after MRI scanning, and the patients were divided into observation group (n=93) and control group (n=69) according to whether the microscopic findings were consistent with degenerative lesions of the knee joint. The MRI indexes of the two groups were compared, and the diagnostic value of each index for degenerative lesions of the knee joint was analyzed by ROC curve.   Results   The detection rate of articular cartilage degeneration by routine MRI scanning was only 66.67%, and the detection rate of meniscus degeneration was 61.53%. The detection rates of hyperostosis at the joint margin, joint cavity stenosis, and joint effusion were 89.47%, 92.86%, and 93.33%, respectively. The medial condylar T1 value, medial condylar T2 value, medial condylar T2* value, lateral condylar T1 value, lateral condylar T2 value, lateral condylar T2* value and FF (%) of the patients in the observation group were higher than those in the control group, and the difference was statistically significant (P < 0.05). ROC analysis results showed that the cutoff values of medial condylar T1, medial condylar T2, medial condylar T2*, lateral condylar T1, lateral condylar T2, lateral condylar T2* and FF for the diagnosis of degenerative lesions of the knee joint were 1018.92, 39.27, 22.34, 994.71, 39.91, 22.74, 79.18%, respectively, and the AUCs were 0.911, 0.892, 0.619, 0.813, 0.904, 0.917, 0.791 (P < 0.05).   Conclusion   Routine MRI scanning has a low detection rate for articular cartilage degeneration and meniscus degeneration. The values of medial condyle T1, medial condyle T2, medial condyle T2*, lateral condyle T1, lateral condyle T2, lateral condyle T2* and FF (%) can be used for the diagnosis of degenerative lesions of the knee joint.

     

    • FullText(HTML)
  • loading
    • References(28)
  • [1]
    Khurshedovna AS, Khazratkulovich RZ, Servetovna AA, et al. Radiation visualization of chronic joint diseases[J]. Cent Asian J Med Nat Sci, 2021, 2(2): 12-17.
    [2]
    Shan S, Rehman A, Ehsan J. Diagnostic value of dynamic ultrasonography in detection of meniscal injury in correlation with MRI knee findings keeping it as reference standard[J]. Pakistan J Med Res, 2023, 62(2): 49-52.
    [3]
    Li L, Yang XF, Yang LF, et al. Biomechanical analysis of the effect of medial meniscus degenerative and traumatic lesions on the knee joint[J]. Am J Transl Res, 2019, 11(2): 542-56.
    [4]
    Lee LS, Chan PK, Fung WC, et al. Imaging of knee osteoarthritis: a review of current evidence and clinical guidelines[J]. Musculoskeletal Care, 2021, 19(3): 363-74. doi: 10.1002/msc.1536
    [5]
    朱莉, 邹文远, 敖锋. 三种MRI生理学定量技术对早期膝关节软骨损伤的诊断价值[J]. 陕西医学杂志, 2021, 50(3): 293-6. doi: 10.3969/j.issn.1000-7377.2021.03.009
    [6]
    Bodden J, Ok AH, Joseph GB, et al. Joint-adjacent adipose tissue by MRI is associated with prevalence and progression of knee degenerative changes: data from the osteoarthritis initiative[J]. J Magn Reson Imaging, 2021, 54(1): 155-65. doi: 10.1002/jmri.27574
    [7]
    Sieroń D, Jabłońska I, Lukoszek D, et al. Knee diameter and cross-section area measurements in MRI as new promising methods of chondromalacia diagnosis-pilot study[J]. Medicina, 2022, 58(9): 1142. doi: 10.3390/medicina58091142
    [8]
    Berton A, Longo UG, Candela V, et al. Quantitative evaluation of meniscal healing process of degenerative Meniscus lesions treated with hyaluronic acid: a clinical and MRI study[J]. J Clin Med, 2020, 9(7): 2280. doi: 10.3390/jcm9072280
    [9]
    Nebelung S, Dötsch L, Shah D, et al. Functional MRI mapping of human Meniscus functionality and its relation to degeneration[J]. Sci Rep, 2020, 10(1): 2499. doi: 10.1038/s41598-020-59573-4
    [10]
    Huang GS, Peng YJ, Hwang DW, et al. Assessment of the efficacy of intra‑articular platelet rich plasma treatment in an ACLT experimental model by dynamic contrast enhancement MRI of knee subchondral bone marrow and MRI T2 measurement of articular cartilage[J]. Osteoarthritis Cartilage, 2021, 29(5): 718-27. doi: 10.1016/j.joca.2021.02.001
    [11]
    李建安, 何卫, 汪青山, 等. MRI检查与X线平片对膝关节退行性骨关节病变中的诊断价值对比[J]. 吉林医学, 2019, 40(4): 739-41. doi: 10.3969/j.issn.1004-0412.2019.04.024
    [12]
    Gao KT, Pedoia V, Young KA, et al. Multiparametric MRI characterization of knee articular cartilage and subchondral bone shape in collegiate basketball players[J]. J Orthop Res, 2021, 39(7): 1512-22. doi: 10.1002/jor.24851
    [13]
    Linka K, Thüring J, Rieppo L, et al. Machine learning-augmented and microspectroscopy-informed multiparametric MRI for the non-invasive prediction of articular cartilage composition[J]. Osteoarthr Cartil, 2021, 29(4): 592-602. doi: 10.1016/j.joca.2020.12.022
    [14]
    王珊珊, 陈祖钦, 贺思健, 等. 磁共振化学位移成像联合体质指数评估青年骨量减少的价值[J]. 武警医学, 2020, 31(3): 233-6. doi: 10.3969/j.issn.1004-3594.2020.03.012
    [15]
    Mohammed HT, Yoon S, Hupel T, et al. Unnecessary ordering of magnetic resonance imaging of the knee: a retrospective chart review of referrals to orthopedic surgeons[J]. PLoS One, 2020, 15(11): e0241645. doi: 10.1371/journal.pone.0241645
    [16]
    Zhao Y, Zhu ZH, Chang J, et al. Predictive value of the morphology of proximal tibiofibular joint for total knee replacement in patients with knee osteoarthritis[J]. J Orthop Res, 2021, 39(6): 1289-96. doi: 10.1002/jor.24862
    [17]
    Ciliberti FK, Guerrini L, Gunnarsson AE, et al. CT- and MRI-based 3D reconstruction of knee joint to assess cartilage and bone[J]. Diagnostics, 2022, 12(2): 279. doi: 10.3390/diagnostics12020279
    [18]
    Farag Abd El-Ati Mohamed AK, Farok Aggag M, Mohammed Zayed E, et al. Mri versus ultrasound in diagnosis of meniscal injury in the knee joint[J]. Al Azhar Med J, 2023, 52(2): 649-60. doi: 10.21608/amj.2023.291655
    [19]
    Kapustina I, Morcos G, Wieland M, et al. Worrisome and incidental signs on knee radiographs in clinical practice: traumatic and degenerative lesions[J]. Appl Radiol, 2023: 8-16.
    [20]
    Ozeki N, Koga H, Sekiya I. Degenerative Meniscus in knee osteoarthritis: from pathology to treatment[J]. Life, 2022, 12(4): 603. doi: 10.3390/life12040603
    [21]
    Ramezanpour S, Kanthawang T, Lynch J, et al. Impact of sustained synovitis on knee joint structural degeneration: 4-year MRI data from the osteoarthritis initiative[J]. J Magn Reson Imaging, 2023, 57(1): 153-64. doi: 10.1002/jmri.28223
    [22]
    Uritani D, Koda H, Yasuura Y, et al. Factors associated with subjective knee joint stiffness in people with knee osteoarthritis: a systematic review[J]. Int J Rheum Dis, 2023, 26(3): 425-36. doi: 10.1111/1756-185X.14536
    [23]
    Małecki K, Niedzielski K, Korczyc-Stępnicka A, et al. A clinical, radiological and isokinetic evaluation in patients with recurrent patellar dislocation undergoing MPFL reconstruction according to Avikainen: a prospective study evaluating early degenerative changes after a minimum 10‑year follow‑up period[J]. BMC Musculoskelet Disord, 2023, 24(1): 147. doi: 10.1186/s12891-023-06249-5
    [24]
    Wang B, Wang L, Wang YY, et al. Clinical diagnostic value of magnetic resonance imaging in knee joint sports injury[J]. J Med Imaging Health Inform, 2021, 11(2): 453-61. doi: 10.1166/jmihi.2021.3301
    [25]
    Hung TNK, Vy VPT, Tri NM, et al. Automatic detection of Meniscus tears using backbone convolutional neural networks on knee MRI[J]. J Magn Reson Imaging, 2023, 57(3): 740-9. doi: 10.1002/jmri.28284
    [26]
    Rana S, Hossen M, Islamn A, et al. Interpretation of the common MRI findings in patients with painful knee joint[J]. Eur J Med Health Sci, 2021, 3(1): 19-26.
    [27]
    Elshimy A, Osman AM, Awad MES, et al. Diagnostic accuracy of point-of-care knee ultrasound for evaluation of meniscus and collateral ligaments pathology in comparison with MRI[J]. Acta Radiol, 2023, 64(7): 2283-92. doi: 10.1177/02841851211058280
    [28]
    Ivanov S, Trizlov D. Painful anterior knee schwannoma: a case report[J]. JIMAB, 2023, 29(2): 4990-3.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(1)  / Tables(4)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (26) PDF downloads(3) Cited by()
    Proportional views
    Related
    • Copyright © 2013《Journal of Molecular Imaging》 Editorial Office ICP备00000000号
    • Key tip: Adobe Reader6 The full text may be displayed abnormally，Please upgrade to Adobe Reader7Or higher .
    • Address: 1838 North Guangzhou Dadao, Guangzhou City, Guangdong Province, China Tel: 020-61648176 E-mail: 

    Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return