Cytokine Assay of the Epidural Space Lavage in Patients With Lumbar Intervertebral Disk Herniation and Radiculopathy

2006 ◽  
Vol 19 (4) ◽  
pp. 266-269 ◽  
Author(s):  
Gaetano J. Scuderi ◽  
Georgiy Brusovamik V ◽  
D. Greg Anderson ◽  
Cami J. Dunham ◽  
Alexander R. Vaccaro ◽  
...  
Keyword(s):  
Epidural Space ◽  
Intervertebral Disk ◽  
Disk Herniation ◽  
Intervertebral Disk Herniation ◽  
Lumbar Intervertebral Disk ◽  
Cytokine Assay

Prognostic value of early computed tomography in radiculopathy due to lumbar intervertebral disk herniation. A prospective study

2003 ◽  
Vol 70 (2) ◽  
pp. 134-139 ◽  
Author(s):  
Catherine Beauvais ◽  
Marc Wybier ◽  
Pascal Chazerain ◽  
Marc Harboun ◽  
Frédéric Lioté ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Prospective Study ◽  
Prognostic Value ◽  
Intervertebral Disk ◽  
Disk Herniation ◽  
Intervertebral Disk Herniation ◽  
A Prospective Study ◽  
Lumbar Intervertebral Disk

scholarly journals Lumbar disk 3D modeling from limited number of MRI axial slices

2020 ◽  
Vol 10 (4) ◽  
pp. 4101
Author(s):  
Asma’a Al-Mnayyis ◽  
Sanaa Abu Alasal ◽  
Mohammad Alsmirat ◽  
Qanita Bani Baker ◽  
Shadi AlZu’bi
Keyword(s):  
3D Model ◽  
Region Of Interest ◽  
3D Models ◽  
Intervertebral Disk ◽  
Model Construction ◽  
Disk Herniation ◽  
Lumbar Area ◽  
Intervertebral Disk Herniation ◽  
Clinical Mri ◽  
Lumbar Intervertebral Disk

This paper studies the problem of clinical MRI analysis in the field of lumbar intervertebral disk herniation diagnosis. It discusses the possibility of assisting radiologists in reading the patients MRI images by constructing a 3D model for the region of interest using simple computer vision methods. We use axial MRI slices of the lumbar area. The proposed framework works with a very small number of MRI slices and goes through three main stages. Namely, the region of interest extraction and enhancement, inter-slice interpolation, and 3D model construction. We use the Marching Cubes algorithm to construct the 3D model of the the region of interest. The validation of our 3D models is based on a radiologist’s analysis of the models. We tested the proposed 3D model construction on 83 cases and We have a 95% accuracy according to the radiologist evaluation. This study shows that 3D model construction can greatly ease the task of the radiologist which enhances the working experience. This leads eventually to more accurate and easy diagnosis process.

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