Evaluation of the potential of diffusion tensor imaging biomarkers in prediction of white matter changes after brain radiation therapy: A systematic review
- PMID: 40391343
- PMCID: PMC12087910
- DOI: 10.4103/jrms.jrms_234_24
Evaluation of the potential of diffusion tensor imaging biomarkers in prediction of white matter changes after brain radiation therapy: A systematic review
Abstract
Background: The objective of this study was to systematically review the use of diffusion tensor imaging (DTI) biomarkers in the early detection of radiation-induced white matter (WM) changes.
Materials and methods: The PubMed and Scopus databases were searched for peer-reviewed articles published in English up to November 28, 2022, according to the PRISMA guidelines to identify studies that related to changes in DTI parameters after radiotherapy.
Results: After reviewing the literature, eight studies met the inclusion criteria. The results indicated that changes in the late delay phase were completely related to changes in the acute phase. There was a difference in the sensitivity of the biomarkers between studies. Still, there was substantial evidence for the early detection of changes by axial diffusivity (AD), radial diffusivity (RD), and fractional anisotropy (FA). However, further research is still necessary on the potential of mean diffusivity (MD) sensitivity for detecting early changes. The majority of the included studies demonstrated progressive changes in DTI parameters over time and with dose.
Conclusion: There is significant potential for DTI biomarkers to predict WM changes caused by radiation after brain radiation therapy by having significant predictive power.
Keywords: Diffusion tensor imaging; MRI biomarkers; radiotherapy; white matter.
Copyright: © 2025 Journal of Research in Medical Sciences.
Conflict of interest statement
There are no conflicts of interest.
Figures
Similar articles
-
The role of diffusion tensor imaging and fractional anisotropy in the evaluation of patients with idiopathic normal pressure hydrocephalus: a literature review.Neurosurg Focus. 2016 Sep;41(3):E12. doi: 10.3171/2016.6.FOCUS16192. Neurosurg Focus. 2016. PMID: 27581308 Review.
-
Differences in Gaussian diffusion tensor imaging and non-Gaussian diffusion kurtosis imaging model-based estimates of diffusion tensor invariants in the human brain.Med Phys. 2016 May;43(5):2464. doi: 10.1118/1.4946819. Med Phys. 2016. PMID: 27147357
-
Diffusion tensor imaging study of pediatric patients with congenital hydrocephalus: 1-year postsurgical outcomes.J Neurosurg Pediatr. 2016 Sep;18(3):306-19. doi: 10.3171/2016.2.PEDS15628. Epub 2016 May 20. J Neurosurg Pediatr. 2016. PMID: 27203134 Free PMC article.
-
Brain microstructural development at near-term age in very-low-birth-weight preterm infants: an atlas-based diffusion imaging study.Neuroimage. 2014 Feb 1;86:244-56. doi: 10.1016/j.neuroimage.2013.09.053. Epub 2013 Oct 1. Neuroimage. 2014. PMID: 24091089 Free PMC article.
-
Diffusion tensor imaging (DTI) findings in adult civilian, military, and sport-related mild traumatic brain injury (mTBI): a systematic critical review.Brain Imaging Behav. 2018 Apr;12(2):585-612. doi: 10.1007/s11682-017-9708-9. Brain Imaging Behav. 2018. PMID: 28337734
References
-
- Soussain C, Ricard D, Fike JR, Mazeron JJ, Psimaras D, Delattre JY. CNS complications of radiotherapy and chemotherapy. Lancet. 2009;374:1639–51. - PubMed
-
- Schultheiss TE, Stephens LC. Invited review: Permanent radiation myelopathy. Br J Radiol. 1992;65:737–53. - PubMed
-
- Douw L, Klein M, Fagel SS, van den Heuvel J, Taphoorn MJ, Aaronson NK, et al. Cognitive and radiological effects of radiotherapy in patients with low-grade glioma: Long-term follow-up. Lancet Neurol. 2009;8:810–8. - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Miscellaneous