Related Experiment Video
Updated: Jun 2, 2026
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion tensor imaging of normal-appearing white matter as biomarker for radiation-induced late delayed cognitive
Christopher H Chapman1, Vijaya Nagesh, Pia C Sundgren
1Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, MI, USA. chchap@umich.edu
Purpose:
To determine whether early assessment of cerebral white matter degradation can predict late delayed cognitive decline after radiotherapy (RT).
Methods And Materials:
Ten patients undergoing conformal fractionated brain RT participated in a prospective diffusion tensor magnetic resonance imaging study. Magnetic resonance imaging studies were acquired before RT, at 3 and 6 weeks during RT, and 10, 30, and 78 weeks after starting RT. The diffusivity variables in the parahippocampal cingulum bundle and temporal lobe white matter were computed. A quality-of-life survey and neurocognitive function tests were administered before and after RT at the magnetic resonance imaging follow-up visits.
Results:
In both structures, longitudinal diffusivity (λ(‖)) decreased and perpendicular diffusivity (λ(⊥)) increased after RT, with early changes correlating to later changes (p < .05). The radiation dose correlated with an increase in cingulum λ(⊥) at 3 weeks, and patients with >50% of cingula volume receiving >12 Gy had a greater increase in λ(⊥) at 3 and 6 weeks (p < .05). The post-RT changes in verbal recall scores correlated linearly with the late changes in cingulum λ(‖) (30 weeks, p < .02). Using receiver operating characteristic curves, early cingulum λ(‖) changes predicted for post-RT changes in verbal recall scores (3 and 6 weeks, p < .05). The neurocognitive test scores correlated significantly with the quality-of-life survey results.
Conclusions:
The correlation between early diffusivity changes in the parahippocampal cingulum and the late decline in verbal recall suggests that diffusion tensor imaging might be useful as a biomarker for predicting late delayed cognitive decline.
