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Wang J, Huang J, Sun Z, Dong H, Li K, Lu J. Structural changes in spinal cord following optic neuritis: Insights from quantitative spinal MRI. Brain Res 2024; 1831:148830. [PMID: 38408557 DOI: 10.1016/j.brainres.2024.148830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/16/2024] [Accepted: 02/23/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVES Previous studies have demonstrated that optic neuritis (ON) affects brain plasticity. However, whether ON affects the spinal cord remains unclear. We aimed to investigate the spinal cord changes in ON and their associations with disability. METHODS A total of 101 ON patients, and 41 healthy controls (HC) were retrospectively recruited. High-resolution imaging was conducted using a Magnetization Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) sequence for T1-weighted images and an echo planar imaging (EPI) sequence for Diffusion Tensor Imaging (DTI) data collection. Additionally, patients' disability and cognitive impairment were evaluated using the Expanded Disability Status Scale (EDSS) and the Paced Auditory Serial Addition Test (PASAT), respectively. The quantitative spinal MRI was employed to examine the cross-sectional area (CSA) and diffusion indicators, with a specific focus on calculating the average values across the C2-C7 cervical spinal cord segments. CSA, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were compared between groups. Correlation analyses were performed between CSA, diffusion indicators, and clinical variables. RESULTS No significant differences were found in CSA between ON patients and HCs. MD (p = 0.007) and RD (p = 0.018) were increased in ON patients compared with HCs, and AD was decreased in ON (p = 0.013). The AD values of the ON patients were significantly positively correlated with PASAT scores (r = 0.37, p < 0.001). CONCLUSIONS This study provided imaging evidence for DTI abnormalities in patients with ON. Spinal cord DTI can improve our knowledge of the path physiology of ON, and clinical progression.
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Affiliation(s)
- Jiyuan Wang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Jing Huang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Zheng Sun
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Huiqing Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Kuncheng Li
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China.
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Stulík J, Keřkovský M, Kuhn M, Svobodová M, Benešová Y, Bednařík J, Šprláková-Puková A, Mechl M, Dostál M. Evaluating Magnetic Resonance Diffusion Properties Together with Brain Volumetry May Predict Progression to Multiple Sclerosis. Acad Radiol 2022; 29:1493-1501. [PMID: 35067451 DOI: 10.1016/j.acra.2021.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 11/29/2021] [Accepted: 12/11/2021] [Indexed: 12/14/2022]
Abstract
RATIONALE AND OBJECTIVES Although the gold standard in predicting future progression from clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) consists in the McDonald criteria, efforts are being made to employ various advanced MRI techniques for predicting clinical progression. This study's main aim was to evaluate the predictive power of diffusion tensor imaging (DTI) of the brain and brain volumetry to distinguish between patients having CIS with future progression to CDMS from those without progression during the following 2 years and to compare those parameters with conventional MRI evaluation. MATERIALS AND METHODS All participants underwent an MRI scan of the brain. DTI and volumetric data were processed and various parameters were compared between the study groups. RESULTS We found significant differences between the subgroups of patients differing by future progression to CDMS in most of those DTI and volumetric parameters measured. Fractional anisotropy of water diffusion proved to be the strongest predictor of clinical conversion among all parameters evaluated, demonstrating also higher specificity compared to evaluation of conventional MRI images according to McDonald criteria. CONCLUSION Conclusion: Our results provide evidence that the evaluation of DTI parameters together with brain volumetry in patients with early-stage CIS may be useful in predicting conversion to CDMS within the following 2 years of the disease course.
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Affiliation(s)
- Jakub Stulík
- Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Institute of Biostatistics and Analyses, Masaryk University, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic.
| | - Matyáš Kuhn
- Department of Psychiatry, University Hospital Brno, Brno, Czech Republic; Behavioural and Social Neuroscience, CEITEC Masaryk University, Brno, Czech Republic
| | - Monika Svobodová
- Department of Neurology, University Hospital Brno, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Yvonne Benešová
- Department of Neurology, University Hospital Brno, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Josef Bednařík
- Department of Neurology, University Hospital Brno, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Andrea Šprláková-Puková
- Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Marek Mechl
- Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Department of Biophysics, Masaryk University, Brno, Czech Republic
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