Diffusion Tensor Imaging of Normal-Appearing White Matter as Biomarker for Radiation-Induced Late Delayed Cognitive Decline
Adult
Male
Time Factors
Radiotherapy Dosage
Middle Aged
Hippocampus
Temporal Lobe
03 medical and health sciences
Diffusion Tensor Imaging
0302 clinical medicine
Mental Recall
Quality of Life
Humans
Female
Prospective Studies
Cognition Disorders
Radiation Injuries
DOI:
10.1016/j.ijrobp.2011.01.068
Publication Date:
2011-05-20T21:50:41Z
AUTHORS (9)
ABSTRACT
To determine whether early assessment of cerebral white matter degradation can predict late delayed cognitive decline after radiotherapy (RT).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.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.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.
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