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 language | English (US) |
|---|---|
| Pages (from-to) | 54-61 |
| Number of pages | 8 |
| Journal | American Journal of Neuroradiology |
| Volume | 34 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2013 |
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ASJC Scopus subject areas
- Clinical Neurology
- Radiology Nuclear Medicine and imaging
Cite this
FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities. / Maillard, P.; Carmichael, O.; Harvey, Danielle J; Fletcher, E.; Reed, Bruce R; Mungas, Dan M; DeCarli, Charles.
In: American Journal of Neuroradiology, Vol. 34, No. 1, 01.2013, p. 54-61.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities
AU - Maillard, P.
AU - Carmichael, O.
AU - Harvey, Danielle J
AU - Fletcher, E.
AU - Reed, Bruce R
AU - Mungas, Dan M
AU - DeCarli, Charles
PY - 2013/1
Y1 - 2013/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84873629627&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873629627&partnerID=8YFLogxK
U2 - 10.3174/ajnr.A3146
DO - 10.3174/ajnr.A3146
M3 - Article
C2 - 22700749
AN - SCOPUS:84873629627
VL - 34
SP - 54
EP - 61
JO - American Journal of Neuroradiology
JF - American Journal of Neuroradiology
SN - 0195-6108
IS - 1
ER -