FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities

P. Maillard, O. Carmichael, Danielle J Harvey, E. Fletcher, Bruce R Reed, Dan M Mungas, Charles DeCarli

Research output: Contribution to journalArticle

83 Scopus citations

Abstract

BACKGROUND AND PURPOSE: WMH, associated with cognitive decline and cardiovascular risk factors, may represent only the extreme end of a more widespread continuous WM injury process that progresses during aging and is poorly understood. We investigated the ability of FLAIR and DTI to characterize the longitudinal course of WMH development. MATERIALS AND METHODS: One hundred nineteen participants (mean age, 74.5±7.4), including cognitively healthy elders and subjects diagnosed with Alzheimer disease and mild cognitive impairment, received a comprehensive clinical evaluation and brain MR imaging, including FLAIR and DTI on 2 dates. The risk for each baseline normal-appearingWMvoxel to convert intoWMHwas modeled as a function of baseline FA (model M1) and both baseline FA and standardized FLAIR (M2). Sensitivity, specificity, accuracy, and AUC for predicting conversion to WMH were compared between models. RESULTS: Independent of clinical diagnosis, lower baseline FA (P < .001, both models) and higher baseline FLAIR intensity (P < .001, M2) were independently associated with increased risk for conversion from normal WM to WMH. M1 exhibited higher sensitivity but lower specificity, accuracy, and AUC compared with M2. CONCLUSIONS: These findings provide further evidence that WMH result from a continuous process of WM degeneration with time. Stepwise decreases inWMintegrity as measured by both DTI and FLAIR were independently associated with stepwise increases in WMH risk, emphasizing that these modalities may provide complementary information for understanding the time course of aging-associated WM degeneration.

Original languageEnglish (US)
Pages (from-to)54-61
Number of pages8
JournalAmerican Journal of Neuroradiology
Volume34
Issue number1
DOIs
StatePublished - Jan 2013

ASJC Scopus subject areas

  • Clinical Neurology
  • Radiology Nuclear Medicine and imaging

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