Magnetic resonance diffusion tensor imaging (MRDTI) of the optic nerve and optic radiations at 3T in children with neurofibromatosis type I (NF-1)

Previous studies have reported diffusion tensor imaging (DTI) changes within the optic radiations of patients after optic neuritis (ON). We aimed to study optic radiation DTI changes over 12 months following acute ON and to study correlations between DTI parameters and damage to the optic nerve and primary visual cortex (V1). We measured DTI parameters [fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD)] from the optic radiations of 38 acute ON patients at presentation and 6 and 12 months after acute ON. In addition, we measured retinal nerve fibre layer thickness, visual evoked potential amplitude, optic radiation lesion load, and V1 thickness. At baseline, FA was reduced and RD and MD were increased compared to control. Over 12 months, FA reduced in patients at an average rate of −2.6% per annum (control = −0.51%;p=0.006). Change in FA, RD, and MD correlated with V1 thinning over 12 months (FA:R=0.450,p=0.006; RD:R=-0.428,p=0.009; MD:R=-0.365,p=0.029). In patients with no optic radiation lesions, AD significantly correlated with RNFL thinning at 12 months (R=0.489,p=0.039). In conclusion, DTI can detect optic radiation changes over 12 months following acute ON that correlate with optic nerve and V1 damage.

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Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging

Investigative Opthalmology & Visual Science ◽

10.1167/iovs.16-19838 ◽

2016 ◽

Vol 57 (15) ◽

pp. 6539 ◽

Cited By ~ 8

Author(s):

Laury Tellouck ◽

Muriel Durieux ◽

Pierrick Coupé ◽

Audrey Cougnard-Grégoire ◽

Joy Tellouck ◽

...

Keyword(s):

Diffusion Tensor Imaging ◽

Magnetic Resonance ◽

Diffusion Tensor ◽

Microstructural Changes ◽

Optic Radiations

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Spontaneous involution of a non‐optic astrocytoma in neurofibromatosis type I: serial magnetic resonance imaging evaluation

Acta Radiologica ◽

10.1080/02841850410001150 ◽

2004 ◽

Vol 45 (6) ◽

pp. 669-673 ◽

Cited By ~ 8

Author(s):

S. Cakirer ◽

E. Karaarslan

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Neurofibromatosis Type ◽

Type I ◽

Neurofibromatosis Type I ◽

Resonance Imaging ◽

Imaging Evaluation ◽

Magnetic Resonance Imaging Evaluation ◽

Serial Magnetic Resonance Imaging ◽

Spontaneous Involution

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Can Screening for Optic Nerve Gliomas in Patients With Neurofibromatosis Type I Be Performed With Visual-Evoked Potential Testing?

Journal of American Association for Pediatric Ophthalmology and Strabismus ◽

10.1016/j.jaapos.2006.02.004 ◽

2006 ◽

Vol 10 (4) ◽

pp. 307-311 ◽

Cited By ~ 35

Author(s):

Darcy H. Wolsey ◽

Scott A. Larson ◽

Donnel Creel ◽

Robert Hoffman

Keyword(s):

Optic Nerve ◽

Visual Evoked Potential ◽

Evoked Potential ◽

Neurofibromatosis Type ◽

Type I ◽

Neurofibromatosis Type I ◽

Visual Evoked

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Magnetic Resonance Imaging with Diffusion Tractography in Assessment of Cerebral Lesions Affecting the Optic Radiations

Journal of Advances in Medicine and Medical Research ◽

10.9734/jammr/2021/v33i1731044 ◽

2021 ◽

pp. 192-201

Author(s):

Nayera Mohamed El-Ganainy ◽

Samah Ahmed Radwan ◽

Ehab Mohamed El-Gamal ◽

Mohamed Fouad Sherif

Keyword(s):

Magnetic Resonance Imaging ◽

Diffusion Tensor Imaging ◽

Magnetic Resonance ◽

Fractional Anisotropy ◽

Diffusion Tensor ◽

P Value ◽

Resonance Imaging ◽

Cerebral Lesions ◽

Fiber Tracts ◽

Optic Radiations

Background: The combination of Functional magnetic resonance imaging with Diffusion Tensor Imaging has proven scientific and clinical relevance. By measuring the directed provides complementary information on white matter architecture, i.e., on the course and integrity of functionally important white matter tracts. In the diffusion of protons along myelinated fibers, Diffusion Tensor neuroimaging research is mainly applied to study the human brain's structural connectivity, whereas diffusion tensor tractography is often also employed for clinical applications. Diffusion Tensor Imaging measurements can be obtained together with Functional magnetic resonance imaging in the same scanning session, which gives an even more complete picture of each patient's brain. This study aimed to assess cerebral lesions affecting optic radiations by magnetic resonance imaging with diffusion tensor imaging tractography. Methods: Our prospective study was conducted on 30 cases ages ranged from 17-83 years, 10 of them were normal and considered as the control group and 20 patients were presented with clinical neurological symptoms and signs associated with visual abnormalities. Results: There is a significant difference between the Fractional anisotropy difference and difference ratio between the two groups with a p-value of 0.016 and 0.017 respectively. There was a strong significant positive correlation between Fractional anisotropy difference ratio (%) and tractography; r = 0.716 (95% confidence interval: 0.470 - 0.858) and p-value <0.001. We correlated the pathological types with different patterns of tractography. optic radiations fiber tracts were displaced in 83.3% of benign tumors and infiltrated in 16.3%. while in malignant tumors optic radiations fiber tracts were displaced in 75%, infiltrated in 12.5%, and disrupted in 25%. There is no "gold standard" for in vivo tractography. Diffusion Tensor Imaging is the only method that permits the calculation and visualization of fiber tracts trajectories in vivo. Conclusions: Diffusion Tensor Imaging tractography is clinically feasible and provides useful information regarding the site of optic radiations and their affection by different brain lesions also, surgical strategy for lesions located in eloquent visual areas. Also, there was a strong significant positive correlation between Fractional anisotropy difference ratio (%) and tractography distribution. Also, probabilistic multifiber tractography applied to diffusion Magnetic resonance imaging data acquired at 3T may be better as it can cope with crossing and kissing fibers than deterministic models because it allows many more possible local pathway orientations for each Diffusion Tensor Imaging sample point.

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