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Diffusion tensor imaging of normal appearing white matter as a biomarker for radiation-induced late delayed cognitive decline

Authors :
Larry Junck
Thomas L. Chenevert
Yue Cao
Vijaya Nagesh
Pia C. Sundgren
Christopher H. Chapman
Theodore S. Lawrence
Henry A. Buchtel
Christina Tsien
Publication Year :
2011

Abstract

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 neuro-cognitive function tests were administered before and after RT at the magnetic resonance imaging follow-up visits. Results: In both structures, longitudinal diffusivity (lambda(parallel to)) decreased and perpendicular diffusivity (lambda(perpendicular to)) increased after RT, with early changes correlating to later changes (p 50% of cingula volume receiving >12 Gy had a greater increase in lambda(perpendicular to) at 3 and 6 weeks (p < .05). The post-RT changes in verbal recall scores correlated linearly with the late changes in cingulum lambda(parallel to) (30 weeks, p < .02). Using receiver operating characteristic curves, early cingulum lambda(parallel to) 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. (C) 2012 Elsevier Inc. (Less)

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....e4611cf91097ddc18d48f210f8e7f79c