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June 12, 2018; 90 (24) Article

Baseline NAWM structural integrity and CBF predict periventricular WMH expansion over time

Nutta-on Promjunyakul, Hiroko H. Dodge, David Lahna, Erin L. Boespflug, Jeffrey A. Kaye, William D. Rooney, Lisa C. Silbert
First published May 16, 2018, DOI: https://doi.org/10.1212/WNL.0000000000005684
Nutta-on Promjunyakul
From the Department of Neurology (N.P., H.H.D., D.L., E.L.B., J.A.K., L.C.S.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Neurology (H.H.D.), University of Michigan, Ann Arbor; and Department of Neurology (J.A.K., L.C.S.), Veterans Affairs Medical Center, Portland, OR.
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Hiroko H. Dodge
From the Department of Neurology (N.P., H.H.D., D.L., E.L.B., J.A.K., L.C.S.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Neurology (H.H.D.), University of Michigan, Ann Arbor; and Department of Neurology (J.A.K., L.C.S.), Veterans Affairs Medical Center, Portland, OR.
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David Lahna
From the Department of Neurology (N.P., H.H.D., D.L., E.L.B., J.A.K., L.C.S.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Neurology (H.H.D.), University of Michigan, Ann Arbor; and Department of Neurology (J.A.K., L.C.S.), Veterans Affairs Medical Center, Portland, OR.
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Erin L. Boespflug
From the Department of Neurology (N.P., H.H.D., D.L., E.L.B., J.A.K., L.C.S.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Neurology (H.H.D.), University of Michigan, Ann Arbor; and Department of Neurology (J.A.K., L.C.S.), Veterans Affairs Medical Center, Portland, OR.
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Jeffrey A. Kaye
From the Department of Neurology (N.P., H.H.D., D.L., E.L.B., J.A.K., L.C.S.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Neurology (H.H.D.), University of Michigan, Ann Arbor; and Department of Neurology (J.A.K., L.C.S.), Veterans Affairs Medical Center, Portland, OR.
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William D. Rooney
From the Department of Neurology (N.P., H.H.D., D.L., E.L.B., J.A.K., L.C.S.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Neurology (H.H.D.), University of Michigan, Ann Arbor; and Department of Neurology (J.A.K., L.C.S.), Veterans Affairs Medical Center, Portland, OR.
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Lisa C. Silbert
From the Department of Neurology (N.P., H.H.D., D.L., E.L.B., J.A.K., L.C.S.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Neurology (H.H.D.), University of Michigan, Ann Arbor; and Department of Neurology (J.A.K., L.C.S.), Veterans Affairs Medical Center, Portland, OR.
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Baseline NAWM structural integrity and CBF predict periventricular WMH expansion over time
Nutta-on Promjunyakul, Hiroko H. Dodge, David Lahna, Erin L. Boespflug, Jeffrey A. Kaye, William D. Rooney, Lisa C. Silbert
Neurology Jun 2018, 90 (24) e2119-e2126; DOI: 10.1212/WNL.0000000000005684

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Abstract

Objective We aimed to describe and compare baseline cerebral blood flow (CBF) and microstructural characteristics of normal-appearing white matter (NAWM) within the vulnerable periventricular white matter hyperintensity (PVWMH) penumbra region in predicting white matter hyperintensity (WMH) growth over time.

Methods Fifty-two patients, aged 82.8 years, underwent serial brain MRI, including pulsed arterial spin labeling and diffusion tensor imaging (DTI). New WMH and persistent NAWM voxels in relation to WMH penumbra at follow-up were identified. Mean baseline CBF and DTI variables of the new WMH and persistent NAWM voxels were computed. Univariate analyses with paired t tests were performed. Generalized estimating equation analyses were used to compare the relationships of baseline CBF, and structural penumbras with WMH growth, controlling for confounders.

Results Low baseline CBF and fractional anisotropy, and high mean diffusivity (MD), were independently associated with new PVWMH voxels, with MD being the best predictor of WMH growth. A separate model demonstrated that radial diffusivity had the strongest relationship with WMH growth compared with CBF and axial diffusivity.

Conclusion CBF and DTI measures independently predict WMH growth over time. DTI is a more sensitive predictor of WMH growth than CBF, with WMH progression likely due to demyelinating injury secondary to low perfusion. Findings support the use of MD as a sensitive marker of NAWM vulnerability in future trials aimed at preserving WM integrity.

Glossary

AD=
axial diffusivity;
ASL=
arterial spin labeling;
CBF=
cerebral blood flow;
DTI=
diffusion tensor imaging;
DWMH=
deep white matter hyperintensity;
FA=
fractional anisotropy;
FLAIR=
fluid-attenuated inversion recovery;
GEE=
generalized estimating equation;
MD=
mean diffusivity;
MPRAGE=
magnetization-prepared rapid-acquisition gradient echo;
NAWM=
normal-appearing white matter;
pASL=
pulsed arterial spin labeling;
PVWMH=
periventricular white matter hyperintensity;
RD=
radial diffusivity;
TE=
echo time;
TI=
inversion time;
TR=
repetition time;
WM=
white matter;
WMH=
white matter hyperintensity

Footnotes

  • Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Received September 30, 2017.
  • Accepted in final form March 26, 2018.
  • © 2018 American Academy of Neurology
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