A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging
Abstract Background Early cervical spondylotic myelopathy (CSM) is challenging to diagnose and easily missed. Diffusion MRI (dMRI) has the potential to identify early CSM. Methods Using diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density i...
Main Authors: | , , , , , , , , |
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Format: | Article |
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SpringerOpen
2024-01-01
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Series: | Insights into Imaging |
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Online Access: | https://doi.org/10.1186/s13244-023-01579-3 |
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author | Ming Ni Shujing Li Xiaoyi Wen Ben Wang Chenyu Jiang Xianchang Zhang Ning Lang Liang Jiang Huishu Yuan |
author_facet | Ming Ni Shujing Li Xiaoyi Wen Ben Wang Chenyu Jiang Xianchang Zhang Ning Lang Liang Jiang Huishu Yuan |
author_sort | Ming Ni |
collection | DOAJ |
description | Abstract Background Early cervical spondylotic myelopathy (CSM) is challenging to diagnose and easily missed. Diffusion MRI (dMRI) has the potential to identify early CSM. Methods Using diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI), a 1:1 matched case-control study was conducted to evaluate the potential of dMRI in identifying early CSM and assessing uncompressed segments of CSM patients. CSM patients and volunteers were matched by age and spinal location. The differences in dMRI parameters between groups were assessed by the paired t-test, the multicollinearity of the dMRI parameters was evaluated by the variance inflation factor (VIF), and the value of dMRI parameters in distinguishing controls from CSM patients was determined by logistic regression. The univariate t-test was used to analyse differences between CSM patients and volunteers in adjacent uncompressed areas. Results In total, 56 CSM patients and 56 control volunteers were included. Paired t-tests revealed significant differences in nine dMRI parameters between groups. Multicollinearity calculated through VIF and combined with logistic regression showed that the orientation division index (ODI) was significantly positively correlated (r = 2.12, p = 0.035), and the anisotropic water fraction (AWF) was significantly negatively correlated (r = −0.98, p = 0.015). The fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), isotropic volume fraction (ISOVF), ODI, and AWF were significantly different in the upper and lower uncompressed areas at all ages. Conclusion dMRI can noninvasively identify early CSM patients and potentially identify the extent of CSM lesions involving the cervical spinal cord. Critical relevance statement Diffusion MRI (dMRI) can identify early cervical spondylotic myelopathy (CSM) and has the potential to help determine the extent of CSM involvement. The application of dMRI can help screen for early CSM and develop clinical surgical and rehabilitation treatment plans. Key points • Diffusion MRI can differentiate between normal and early-stage cervical spondylotic myelopathy patients. • Diffusion MRI has the ability to identify the extent of spinal cord involvement in cervical spondylotic myelopathy. • Diffusion MRI enables the early screening of cervical spondylotic myelopathy and helps guide clinical treatment. Graphical Abstract |
first_indexed | 2024-03-07T15:28:22Z |
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institution | Directory Open Access Journal |
issn | 1869-4101 |
language | English |
last_indexed | 2024-03-07T15:28:22Z |
publishDate | 2024-01-01 |
publisher | SpringerOpen |
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series | Insights into Imaging |
spelling | doaj.art-099a32378998448ca35a93e027f1d5362024-03-05T16:32:09ZengSpringerOpenInsights into Imaging1869-41012024-01-0115111010.1186/s13244-023-01579-3A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imagingMing Ni0Shujing Li1Xiaoyi Wen2Ben Wang3Chenyu Jiang4Xianchang Zhang5Ning Lang6Liang Jiang7Huishu Yuan8Department of Radiology, Peking University Third HospitalDepartment of Radiology, Peking University Third HospitalInstitute of Statistics and Big Data, Renmin University of ChinaDepartment of Orthopedics, Peking University Third HospitalDepartment of Radiology, Peking University Third HospitalMR Collaboration, Siemens Healthcare Ltd.Department of Radiology, Peking University Third HospitalDepartment of Orthopedics, Peking University Third HospitalDepartment of Radiology, Peking University Third HospitalAbstract Background Early cervical spondylotic myelopathy (CSM) is challenging to diagnose and easily missed. Diffusion MRI (dMRI) has the potential to identify early CSM. Methods Using diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI), a 1:1 matched case-control study was conducted to evaluate the potential of dMRI in identifying early CSM and assessing uncompressed segments of CSM patients. CSM patients and volunteers were matched by age and spinal location. The differences in dMRI parameters between groups were assessed by the paired t-test, the multicollinearity of the dMRI parameters was evaluated by the variance inflation factor (VIF), and the value of dMRI parameters in distinguishing controls from CSM patients was determined by logistic regression. The univariate t-test was used to analyse differences between CSM patients and volunteers in adjacent uncompressed areas. Results In total, 56 CSM patients and 56 control volunteers were included. Paired t-tests revealed significant differences in nine dMRI parameters between groups. Multicollinearity calculated through VIF and combined with logistic regression showed that the orientation division index (ODI) was significantly positively correlated (r = 2.12, p = 0.035), and the anisotropic water fraction (AWF) was significantly negatively correlated (r = −0.98, p = 0.015). The fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), isotropic volume fraction (ISOVF), ODI, and AWF were significantly different in the upper and lower uncompressed areas at all ages. Conclusion dMRI can noninvasively identify early CSM patients and potentially identify the extent of CSM lesions involving the cervical spinal cord. Critical relevance statement Diffusion MRI (dMRI) can identify early cervical spondylotic myelopathy (CSM) and has the potential to help determine the extent of CSM involvement. The application of dMRI can help screen for early CSM and develop clinical surgical and rehabilitation treatment plans. Key points • Diffusion MRI can differentiate between normal and early-stage cervical spondylotic myelopathy patients. • Diffusion MRI has the ability to identify the extent of spinal cord involvement in cervical spondylotic myelopathy. • Diffusion MRI enables the early screening of cervical spondylotic myelopathy and helps guide clinical treatment. Graphical Abstracthttps://doi.org/10.1186/s13244-023-01579-3Cervical spondylotic myelopathyDiffusion magnetic resonance imagingRegression analysisSurgery |
spellingShingle | Ming Ni Shujing Li Xiaoyi Wen Ben Wang Chenyu Jiang Xianchang Zhang Ning Lang Liang Jiang Huishu Yuan A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging Insights into Imaging Cervical spondylotic myelopathy Diffusion magnetic resonance imaging Regression analysis Surgery |
title | A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging |
title_full | A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging |
title_fullStr | A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging |
title_full_unstemmed | A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging |
title_short | A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging |
title_sort | matched case control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging |
topic | Cervical spondylotic myelopathy Diffusion magnetic resonance imaging Regression analysis Surgery |
url | https://doi.org/10.1186/s13244-023-01579-3 |
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