Diffusion-Weighted Imaging (DWI) and Diffusion Tensor Imaging (DTI) in Diagnosis of White Matter Diseases of the Brain

Authors

  • Asmaa Hamdy Dkhail
  • Rasha Lotfy Younes
  • Hazem Abdelrahaman Fayed
  • Haytham Haroun Emam
  • Mohamed Fathy Dawoud

Keywords:

Diffusion-Weighted Imaging, Diffusion Tensor Imaging, White Matter Diseases, Brain

Abstract

Background: Many White matter diseases involve a diverse range of disorders, either due to improper myelin formation or the loss of previously acquired myelin, with the underlying causes of several of these diseases still being not well understood. This study sought to establish the diagnostic advantage provided by diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) in the diagnosis of WMD.

Methods: The case control study involved 50 patients with ages ranging from 5 to 75 and 30 healthy individuals as controls, all of whom exhibited neurological symptoms, sensory issues, or visual difficulties. Magnetic resonance imaging was conducted on all patients.

Results: There was a statistically significant difference between the two groups regarding DWI at a significance level of P < 0.05. In the context of DTI, fractional anisotropy values were found to be substantially lower in cases compared to the control group, with a p-value less than 0.05. Furthermore, the mean diffusivity value was significantly higher in cases than in the control group, with a probability of less than 0.05. Conversely, FA values were significantly lower in the corticospinal tract and corpus callosum tract of diseased individuals compared to disease-free controls (P<0.05).

Conclusions: DWI and DTI are non-invasive imaging methods that identify subtle structural tissue alterations not visible on standard MRI scans. Across all white matter conditions examined, a decrease in FA values was observed, accompanied by a rise in MD values relative to the control group

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Müller M, Egger N, Sommer S, Wilferth T, Meixner CR, Laun FB, et al. Direct imaging of white matter ultrashort T2∗ components at 7 tesla. J Magn Reson. 2022;86:107-17.

Hasan T, Tipton P, Vatz K, Brown S, Thottempudi N, Kamireddi P, et al. A practical approach to adult-onset white matter diseases, with illustrative cases. Neurol Neurochir. 2020;54:200-25.

Sarbu N, Shih RY, Jones RV, Horkayne-Szakaly I, Oleaga L, Smirniotopoulos JG. White matter diseases with radiologic-pathologic correlation. Radiographics. 2016;36:1426-47.

Drake-Pérez M, Boto J, Fitsiori A, Lovblad K, Vargas MI. Clinical applications of diffusion weighted imaging in neuroradiology. Insights Imaging. 2018;9:535-47.

Han X, Wang X, Wang L, Zheng Z, Gu J, Tang D, et al. Investigation of grey matter abnormalities in multiple sclerosis patients by combined use of double inversion recovery sequences and diffusion tensor MRI at 3.0 tesla. Clin Radiol. 2018;73:834-2.

Dhir SB, Kutten KS, Li M, Faria AV, Younes L, Ratnanather JT. Visualising the topography of the acoustic radiation in clinical diffusion tensor imaging scans. J Neuroradiology. 2020;62:1157-67.

Ma W, Li M, Gao F, Zhang X, Shi L, Yu L, et al. DTI Analysis of Presbycusis Using Voxel-Based Analysis. AJNR Am J Neuroradiol. 2016;37:2110-4.

Soares JM, Marques P, Alves V, Sousa N. A hitchhiker's guide to diffusion tensor imaging. Front Neurosci. 2013;70:31-300.

Sharma R, Sekhon S. White matter lesions. 2021;300:225-360.

Haller S, Pereira VM, Lazeyras F, Vargas MI, Lövblad K-O. Magnetic resonance imaging techniques in white matter disease: potentials and limitations. Top Magn Reson Imaging. 2009;20:301-12.

Frischer JM, Weigand SD, Guo Y, Kale N, Parisi JE, Pirko I, et al. Clinical and pathological insights into the dynamic nature of the white matter multiple sclerosis plaque. Ann Neurol. 2015;78:710-21.

Riphagen JM, Gronenschild EH, Salat DH, Freeze WM, Ivanov D, Clerx L, et al. Shades of white: diffusion properties of T1-and FLAIR-defined white matter signal abnormalities differ in stages from cognitively normal to dementia. Neurobiol Aging. 2018;68:48-58.

Dmytriw AA, Sawlani V, Shankar J. Diffusion-weighted imaging of the brain: beyond stroke. J Can AssocRadiol. 2017;68:131-46.

Okorie CK, Ogbole GI, Owolabi MO, Ogun O, Adeyinka A, Ogunniyi A. Role of diffusion-weighted imaging in acute stroke management using low-field magnetic resonance imaging in resource-limited settings. West Afr J Radiol. 2015;22:61-6.

Filippi M, Pagani E, Preziosa P, Rocca MA. The role of DTI in multiple sclerosis and other demyelinating conditions. 2nd ed2016. 331-41 p.

Min Z-g, Shan H-r, Xu L, Yuan D-h, Sheng X-x, Xie W-c, et al. Diffusion tensor imaging revealed different pathological processes of white matter hyperintensities. BMC Neurol. 2021;21:1-12.

Ragheb SR, Ekladious MEY. The value of apparent diffusion coefficient measurement in assessment and follow up of multiple sclerosis patients. EJHM. 2021;82:655-62.

Zhao D-Q, Wang Z-W, Cheng Y, Yuan Z, Rene F, Liu H, et al. A DTI study of leukoaraiosis and the differential diagnosis between leukoaraiosis and acute lacunar infarction. CNS Neurosci Ther. 2019;25:1064-7.

Phukan P, Barman B, Chengappa NK, Lynser D, Paul S, Nune A, et al. Diffusion tensor imaging analysis of rheumatoid arthritis patients with neuropsychiatric features to determine the alteration of white matter integrity due to vascular events. Clin Rheumatol. 2022;41:3169-77.

Liang S-Y, Wu Y-Y, Chang N-J, Lai K-L, Chen H-M, Chen H-C, et al. Cortical thickness and diffusion tensor imaging in patients with neuropsychiatric systemic lupus erythematosus, with normal structure on brain MRI. Lupus. 2023;32:489-99.

Anderson R-C, Patel V, Sheikh-Bahaei N, Liu CSJ, Rajamohan AG, Shiroishi MS, et al. Posterior reversible encephalopathy syndrome (PRES): pathophysiology and neuro-imaging. Front Neurol. 2020;110:463-530.

Chen C-I, Mar S, Brown S, Song S-K, Benzinger TL. Neuropathologic correlates for diffusion tensor imaging in postinfectious encephalopathy. Pediatr Neurol. 2011;44:389-93.

Ma J, Yang X, Xu F, Li H. Application of diffusion tensor imaging (DTI) in the diagnosis of HIV-associated neurocognitive disorder (HAND): a meta-analysis and a system review. Front Neurol. 2022;130:898-191.

Kerbrat A, Gros C, Badji A, Bannier E, Galassi F, Combès B, et al. Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability. Brain Res. 2020;143:2089-105.

Fabri M, Polonara G. Functional topography of the corpus callosum as revealed by fMRI and behavioural studies of control subjects and patients with callosal resection. Neuropsychologia. 2023;183:108-533

.

Downloads

Published

2025-05-21

How to Cite

1.
Dkhail AH, Younes RL, Abdelrahaman Fayed H, Haroun Emam H, Dawoud MF. Diffusion-Weighted Imaging (DWI) and Diffusion Tensor Imaging (DTI) in Diagnosis of White Matter Diseases of the Brain . J Neonatal Surg [Internet]. 2025May21 [cited 2025Oct.22];14(26S):153-62. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/6229