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Cited 23 time in webofscience Cited 28 time in scopus
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Seoul criteria for PiB(-) subcortical vascular dementia based on clinical and MRI variables

Authors
Kim, Geon HaLee, Jae HongSeo, Sang WonYe, Byoung SeokCho, HannaKim, Hee JinNoh, YoungYoon, Cindy W.Chin, Ju HeeOh, Seung JunKim, Jae SeungChoe, Yearn SeongLee, Kyung HanKim, Sung TaeJeong, Jee HyangNa, Duk L.
Issue Date
29-Apr-2014
Publisher
LIPPINCOTT WILLIAMS & WILKINS
Citation
NEUROLOGY, v.82, no.17, pp.1529 - 1535
Journal Title
NEUROLOGY
Volume
82
Number
17
Start Page
1529
End Page
1535
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12695
DOI
10.1212/WNL.0000000000000360
ISSN
0028-3878
Abstract
Objective:The purpose of this study was to propose new criteria for differentiating Pittsburgh compound B (PiB)-negative from PiB-positive subcortical vascular dementia (SVaD) using clinical and MRI variables.Methods:We measured brain amyloid deposition using PiB-PET in 77 patients with SVaD. All patients met DSM-IV criteria for vascular dementia and had severe white matter hyperintensities on MRI, defined as a cap or band 10 mm as well as a deep white matter lesion 25 mm. Eleven models were considered to differentiate PiB(-) from PiB(+) SVaD using 4 variables, including age, number of lacunes, medial temporal atrophy (MTA), and APOE epsilon 4. The ideal cutoff values in each of the 11 models were selected using the highest Youden index.Results:A total of 49 of 77 patients (63.6%) tested negative for PiB retention, while 28 (36.4%) tested positive for PiB retention. The ideal model for differentiating PiB(-) from PiB(+) SVaD was as follows: age 75 years, 5 lacunes, and MTA 3, which together yielded an accuracy of 67.5%.Conclusion:When patients meet the DSM-IV criteria for vascular dementia and also have severe white matter hyperintensities, younger age, greater number of lacunes, and lesser MTA, these are predictive of a PiB(-) scan in patients with SVaD.Classification of evidence:This study provides Class II evidence that the combination of younger age, greater number of lacunes, and lesser MTA identifies patients with SVaD at lower risk of Alzheimer disease pathology.
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