Magnetic resonance imaging-based classification of the myodural bridge complex and its influencing factors

被引:1
|
作者
Feng, Xiao [3 ]
Liu, Cong [1 ]
Hu, Dong-Mei [4 ]
Zhang, Jian-Fei [2 ]
Zheng, Nan [2 ]
Chi, Yan-Yan [2 ]
Yu, Sheng-Bo [2 ]
Sui, Hong-Jin [2 ]
Xu, Qiang [1 ,3 ]
机构
[1] 967 Hosp Joint Logist Support Force, Dept Radiol, Dalian 116021, Peoples R China
[2] Dalian Med Univ, Coll Basic Med, Dept Anat, Dalian 116044, Peoples R China
[3] Jinzhou Med Univ, 967 Hosp Joint Logist Support Force, Postgrad Training Base, Dalian 116021, Peoples R China
[4] Dalian Med Univ, Sch Publ Hlth, Dept Hlth Stat, Dalian 116044, Peoples R China
关键词
Myodural bridge complex; Imaging classification; Cervical spine; Degenerative changes; Magnetic resonance imaging; Dura mater; Cerebrospinal fluid; CEREBROSPINAL-FLUID; CHIARI MALFORMATION; CERVICAL-SPINE; BLOOD-FLOW; DYNAMICS; MRI;
D O I
10.1007/s00276-023-03279-5
中图分类号
R602 [外科病理学、解剖学]; R32 [人体形态学];
学科分类号
100101 ;
摘要
Cerebrospinal fluid (CSF) circulation is considered the third circulation of the human body. Recently, some scholars have proposed the myodural bridge (MDB) as a novel power source for CSF flow. Moreover, the suboccipital muscles can exert a driving force on the CSF via the MDB. This hypothesis is directly supported by head rotation and nodding movements, which can affect CSF circulation. The MDB has been validated as a normal structure in humans and mammals. In addition, the fusion of MDB fibers of different origins that act in concert with each other forms the MDB complex (MDBC). The MDBC may be associated with several CSF disorder-related neurological disorders in clinical practice. Therefore, the morphology of the MDBC and its influencing factors must be determined. In this study, T2-weighted imaging sagittal images of the cervical region were analyzed retrospectively in 1085 patients, and magnetic resonance imaging (MRI) typing of the MDBC was performed according to the imaging features of the MDBC in the posterior atlanto-occipital interspace (PAOiS) and posterior atlanto-axial interspace (PAAiS). The effects of age and age-related degenerative changes in the cervical spine on MRI staging of the MDBC were also determined. The results revealed four MRI types of the MDBC: type A (no MDBC hyposignal shadow connected to the dura mater in either the PAOiS or PAAiS), type B (MDBC hyposignal shadow connected to the dura mater in the PAOiS only), type C (MDBC hyposignal shadow connected to the dura mater in the PAAiS only), and type D (MDBC hyposignal shadow connected to the dura mater in both the PAOiS and PAAiS). The influencing factors for the MDBC typing were age (group), degree of intervertebral space stenosis, dorsal osteophytosis, and degenerative changes in the cervical spine (P < 0.05). With increasing age (10-year interval), the incidence of type B MDBC markedly decreased, whereas that of type A MDBC increased considerably. With the deepening of the degree of intervertebral space stenosis, the incidence of type C MDBC increased significantly, whereas that of type A MDBC decreased. In the presence of dorsal osteophytosis, the incidence of type C and D MDBCs significantly decreased, whereas that of type A increased. In the presence of protrusion of the intervertebral disc, the incidence of type B, C, and D MDBCs increased markedly, whereas that of type A MDBC decreased considerably, with cervical degenerative changes combined with spinal canal stenosis. Moreover, the incidence of both type C and D MDBCs increased, whereas that of type A MDBC decreased. Based on the MRI signal characteristics of the dural side of the MDBC, four types of the MDBC were identified. MDBC typing varies dynamically according to population distribution, depending on age and cervical degeneration (degree of intervertebral space stenosis, vertebral dorsal osteophytosis formation, simple protrusion of intervertebral disc, and cervical degeneration changes combined with spinal canal stenosis, except for the degree of protrusion of the intervertebral disc and the degree of spinal canal stenosis); however, it is not influenced by sex.
引用
收藏
页码:125 / 135
页数:11
相关论文
共 50 条
  • [31] Recommendation for Cardiac Magnetic Resonance Imaging-Based Phenotypic Study: Imaging Part
    Chengyan Wang
    Yan Li
    Jun Lv
    Jianhua Jin
    Xumei Hu
    Xutong Kuang
    Weibo Chen
    He Wang
    Phenomics, 2021, 1 : 151 - 170
  • [32] Magnetic Resonance Imaging-Based Prediction of Prostate Cancer Risk Reply
    Mehralivand, Sherif
    Shih, Joanna
    Turkbey, Baris
    JAMA ONCOLOGY, 2018, 4 (11) : 1625 - 1625
  • [33] Magnetic Resonance Imaging-Based Screening for Asymptomatic Brain Tumors: A Review
    Neugut, Alfred I.
    Sackstein, Paul
    Hillyer, Grace C.
    Jacobson, Judith S.
    Bruce, Jeffrey
    Lassman, Andrew B.
    Stieg, Philip A.
    ONCOLOGIST, 2019, 24 (03): : 375 - 384
  • [34] Magnetic Resonance Imaging-Based Estimation of Knee Cartilage Thickness with MATLAB
    Yin, Joyce Sia Sin
    Swee, Tan Tian
    bin Sayuti, Khairil Amir
    Musa, Ahmad Tarmizi
    Bin Yahya, Azli
    Thye, Matthias Tiong Foh
    Malik, Sameen Ahmed
    Sheikh, Jahanzeb
    Xian, Jeremy Sia Yik
    JURNAL KEJURUTERAAN, 2021, 33 (04): : 875 - 882
  • [35] Current magnetic resonance imaging-based diagnostic strategies for prostate cancer
    Inoue, Toru
    Shin, Toshitaka
    INTERNATIONAL JOURNAL OF UROLOGY, 2023, 30 (12) : 1078 - 1086
  • [36] A SelectMDx/magnetic resonance imaging-based nomogram to diagnose prostate cancer
    Wagaskar, Vinayak G.
    Levi, Micah
    Ratnani, Parita
    Sullimada, Sharmila
    Gerenia, Mae
    Schlussel, Kacie
    Choudhury, Samia
    Gabriele, Marla
    Haas, Ian
    Haines, Kenneth, III
    Tewari, Ash
    CANCER REPORTS, 2023, 6 (01)
  • [37] Editorial: Computerized Magnetic Resonance Imaging-Based Neuroimaging of Neurodegenerative Diseases
    Mueller, Hans-Peter
    Kassubek, Jan
    FRONTIERS IN NEUROLOGY, 2019, 10
  • [38] Reproducibility of In Vivo Magnetic Resonance Imaging-Based Measurement of Myelin Water
    Levesque, Ives R.
    Chia, Charmaine L. L.
    Pike, G. Bruce
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2010, 32 (01) : 60 - 68
  • [39] Magnetic Resonance Imaging-based biomechanical simulation of cartilage: A systematic review
    Seyedpour, S. M.
    Nafisi, S.
    Nabati, M.
    Pierce, D. M.
    Reichenbach, J. R.
    Ricken, T.
    JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS, 2022, 126
  • [40] Advances in quantitative magnetic resonance imaging-based biomarkers for Alzheimer disease
    Bradford C Dickerson
    Alzheimers Res Ther, 2