TY - JOUR
T1 - The fornix sign
T2 - A potential sign for alzheimer's disease based on diffusion tensor imaging
AU - Oishi, Kenichi
AU - Mielke, Michelle M.
AU - Albert, Marilyn
AU - Lyketsos, Constantine G.
AU - Mori, Susumu
PY - 2012/10
Y1 - 2012/10
N2 - Background: We investigated a simple imaging sign for Alzheimer's disease (AD), using diffusion tensor imaging (DTI). We hypothesized that a reduction in fractional anisotropy (FA) in the fornix could be utilized as an imaging sign. Methods: Twenty-three patients with AD, 24 patients with amnestic mild cognitive impairment (aMCI), and 25 control participants (NC) underwent DTI at baseline and 1 year later. The diagnosis was reevaluated 1 year and 3 years after the initial scan. A color-scaled FA map was used to visually identify the FA reduction ("fornix sign"). We investigated whether the fornix sign could separate AD from NC, and could predict progression from aMCI to AD or NC to aMCI. We also quantified FA of the fornix to validate the fornix sign. Results: The fornix sign was identical to the lack of any voxels with an FA > .52 within the fornix. The fornix sign differentiated AD from NC with specificity of 1.0 and sensitivity of .56. It predicted conversion from NC to aMCI with specificity of 1.0 and sensitivity of .67, and from aMCI to AD with specificity of .94 and sensitivity of .83. Conclusion: The fornix sign is a promising predictive imaging sign of AD.
AB - Background: We investigated a simple imaging sign for Alzheimer's disease (AD), using diffusion tensor imaging (DTI). We hypothesized that a reduction in fractional anisotropy (FA) in the fornix could be utilized as an imaging sign. Methods: Twenty-three patients with AD, 24 patients with amnestic mild cognitive impairment (aMCI), and 25 control participants (NC) underwent DTI at baseline and 1 year later. The diagnosis was reevaluated 1 year and 3 years after the initial scan. A color-scaled FA map was used to visually identify the FA reduction ("fornix sign"). We investigated whether the fornix sign could separate AD from NC, and could predict progression from aMCI to AD or NC to aMCI. We also quantified FA of the fornix to validate the fornix sign. Results: The fornix sign was identical to the lack of any voxels with an FA > .52 within the fornix. The fornix sign differentiated AD from NC with specificity of 1.0 and sensitivity of .56. It predicted conversion from NC to aMCI with specificity of 1.0 and sensitivity of .67, and from aMCI to AD with specificity of .94 and sensitivity of .83. Conclusion: The fornix sign is a promising predictive imaging sign of AD.
KW - Alzheimer's disease
KW - Diffusion tensor imaging
KW - Fornix sign
KW - Fractional anisotropy
KW - Mild cognitive impairment
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UR - http://www.scopus.com/inward/citedby.url?scp=84868200196&partnerID=8YFLogxK
U2 - 10.1111/j.1552-6569.2011.00633.x
DO - 10.1111/j.1552-6569.2011.00633.x
M3 - Article
C2 - 21848679
AN - SCOPUS:84868200196
SN - 1051-2284
VL - 22
SP - 365
EP - 374
JO - Journal of Neuroimaging
JF - Journal of Neuroimaging
IS - 4
ER -