In vivo detection of the lumbar intraforaminal ligaments by MRI

被引:1
|
作者
Henkelmann, Jeanette [1 ]
Wiersbicki, Dina [2 ]
Steinke, Hanno [2 ]
Denecke, Timm [1 ]
Heyde, Christoph-Eckhard [3 ]
Voelker, Anna [3 ]
机构
[1] Univ Hosp Leipzig, Dept Diagnost & Intervent Radiol, Liebigstr 20, D-04103 Leipzig, Germany
[2] Univ Leipzig, Inst Anat, Liebigstr 13, D-04103 Leipzig, Germany
[3] Univ Hosp Leipzig, Dept Orthoped Trauma & Plast Surg, Liebigstr 20, D-04103 Leipzig, Germany
关键词
Clinical imaging; Magnetic resonance imaging; Lumbar spine; Intraforaminal ligaments; Radicular pain; FORAMINAL LIGAMENTS; TRANSFORAMINAL LIGAMENTS; INTERVERTEBRAL FORAMEN; ANATOMY; STENOSIS; SPINE; APPEARANCE; NERVE;
D O I
10.1007/s00586-022-07153-7
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose Intraforaminal ligaments (IFL) are of great interest to anatomists and clinicians to fully understand the detailed anatomy of the neuroforamina and to diagnose unclear radicular symptoms. Studies published until now have described radiological imaging of the IFLs using magnetic resonance imaging (MRI) on donor bodies. In the present study, we investigated the detectability of lumbar IFLs in vivo in adults using the high spatial resolution of the constructive interference in steady state (CISS) sequence. Methods A total of 14 patients were studied using a 1.5 T MRI scanner. The lumbar spine was imaged using the parasagittal CISS sequence, and the detectability of the IFLs was assessed for each lumbar level. All image datasets were analyzed by a radiologist, an orthopedic surgeon, and an anatomist. Interrater reliability was expressed as Fleiss' Kappa. Using a single data set, a three-dimensional (3D) model was created to map the location of the IFLs within the intervertebral foramen (IF) and the immediate surrounding vessels. Results Overall, the radiologist was able to detect IFLs in 60% of all imaged IFs, the orthopedic surgeon in 62%, and the anatomist in 66%. Fleiss' Kappa for the various segments varies from 0.71 for L4/5 up to 0.90 for L3/4. Conclusion Lumbar IFLs were successfully detected in vivo in every patient. The detection frequency varied from 42-86% per IF. We demonstrated reproducible imaging of the IFLs on MRI, with good interrater reliability. The present study was a launching point for further clinical studies investigating the potential impact of altered IFLs on radicular pain.
引用
收藏
页码:882 / 888
页数:7
相关论文
共 50 条
  • [31] The Morphology and Possible Clinical Significance of the Intraforaminal Ligaments in the Entrance Zones of the L1-L5 Levels
    Zhong, Enyi
    Zhao, Qinghao
    Shi, Benchao
    Xie, Yushan
    Ding, Zihai
    Lv, Hai
    Zhong, Shizhen
    Huang, Wenhua
    PAIN PHYSICIAN, 2018, 21 (02) : E157 - E165
  • [32] MRI study of the cruciate ligaments and menisco-femoral ligaments of the knee
    Corbí-Aguirre F.
    Forriol F.
    MUSCULOSKELETAL SURGERY, 2023, 107 (3) : 295 - 303
  • [33] Loads distributed in vivo among vertebrae, muscles, spinal ligaments, and intervertebral discs in a passively flexed lumbar spine
    Moerl, Falk
    Guenther, Michael
    Riede, Julia M.
    Hammer, Maria
    Schmitt, Syn
    BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2020, 19 (06) : 2015 - 2047
  • [34] Detection of In Vivo Enzyme Activity with CatalyCEST MRI
    Yoo, Byunghee
    Sheth, Vipul R.
    Howison, Christine M.
    Douglas, Matthew J. K.
    Pineda, Carlos T.
    Maine, Erin A.
    Baker, Amanda F.
    Pagel, Mark D.
    MAGNETIC RESONANCE IN MEDICINE, 2014, 71 (03) : 1221 - 1230
  • [35] Loads distributed in vivo among vertebrae, muscles, spinal ligaments, and intervertebral discs in a passively flexed lumbar spine
    Falk Mörl
    Michael Günther
    Julia M. Riede
    Maria Hammer
    Syn Schmitt
    Biomechanics and Modeling in Mechanobiology, 2020, 19 : 2015 - 2047
  • [36] MRI OF SPORTS INJURIES AND LIGAMENTS OF THE KNEE
    POMERANZ, SJ
    RADIOGRAPHICS, 1992, 12 (06) : 1244 - 1244
  • [37] Automatic Lumbar MRI Detection and Identification Based on Deep Learning
    Yujing Zhou
    Yuan Liu
    Qian Chen
    Guohua Gu
    Xiubao Sui
    Journal of Digital Imaging, 2019, 32 : 513 - 520
  • [38] Supervised methods for detection and segmentation of tissues in clinical lumbar MRI
    Ghosh, Subarna
    Chaudhary, Vipin
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2014, 38 (07) : 639 - 649
  • [39] Automatic Lumbar MRI Detection and Identification Based on Deep Learning
    Zhou, Yujing
    Liu, Yuan
    Chen, Qian
    Gu, Guohua
    Sui, Xiubao
    JOURNAL OF DIGITAL IMAGING, 2019, 32 (03) : 513 - 520
  • [40] MRI Arthroscopy Correlations: Ligaments of the Knee
    Ruzbarsky, Joseph J.
    Konin, Gabrielle
    Mehta, Naaman
    Marx, Robert G.
    SPORTS MEDICINE AND ARTHROSCOPY REVIEW, 2017, 25 (04): : 210 - 218