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Amyloid deposition and CBF patterns predict conversion of mild cognitive impairment to dementia.

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Title: Amyloid deposition and CBF patterns predict conversion of mild cognitive impairment to dementia.
Authors: Kikukawa, Takayuki, Abe, Takato, Ataka, Suzuka, Saito, Haruna, Hasegawa, Itsuki, Mino, Toshikazu, Takeuchi, Jun, Kawabe, Joji, Wada, Yasuhiro, Watanabe, Yasuyoshi, Itoh, Yoshiaki
Source: Neurological Sciences. Sep2018, Vol. 39 Issue 9, p1597-1602. 6p. 2 Color Photographs, 3 Charts.
Subjects: Mild cognitive impairment, Alzheimer's disease, Amyloid, Dementia, Positron emission tomography
Abstract: Mild cognitive impairment (MCI) can include the transition from a normal state to dementia. To explore biomarkers for the development of dementia, we performed an 18-month follow-up study in 28 patients with amnestic MCI. Amyloid deposition was examined using PiB PET, and cerebral blood flow (CBF) was examined using SPECT. Cognitive function was periodically assessed. The rate of conversion to dementia was higher in the PiB-positive/equivocal group (74%) than in the PiB-negative group (33%) (p = 0.041). Perfusion SPECT was performed in 16 patients. MCI patients with an AD-characteristic pattern of reduced CBF had a higher PiB-positive/equivocal rate (82%) than those with a non-AD pattern (20%) (p = 0.018), and patients with an AD pattern had a higher conversion rate (82%) than those with a non-AD pattern (40%) (p = 0.094). Clinically, all PiB-positive converters were diagnosed as having Alzheimer's disease (AD), whereas PiB-negative converters were thought to have some form of dementia other than AD. Amyloid PET is useful for predicting conversion to AD in MCI patients. A pattern analysis of perfusion SPECT findings might also be helpful for predicting conversion to AD, but with a lower specificity. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Amyloid deposition and CBF patterns predict conversion of mild cognitive impairment to dementia.
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  Data: <searchLink fieldCode="AR" term="%22Kikukawa%2C+Takayuki%22">Kikukawa, Takayuki</searchLink><br /><searchLink fieldCode="AR" term="%22Abe%2C+Takato%22">Abe, Takato</searchLink><br /><searchLink fieldCode="AR" term="%22Ataka%2C+Suzuka%22">Ataka, Suzuka</searchLink><br /><searchLink fieldCode="AR" term="%22Saito%2C+Haruna%22">Saito, Haruna</searchLink><br /><searchLink fieldCode="AR" term="%22Hasegawa%2C+Itsuki%22">Hasegawa, Itsuki</searchLink><br /><searchLink fieldCode="AR" term="%22Mino%2C+Toshikazu%22">Mino, Toshikazu</searchLink><br /><searchLink fieldCode="AR" term="%22Takeuchi%2C+Jun%22">Takeuchi, Jun</searchLink><br /><searchLink fieldCode="AR" term="%22Kawabe%2C+Joji%22">Kawabe, Joji</searchLink><br /><searchLink fieldCode="AR" term="%22Wada%2C+Yasuhiro%22">Wada, Yasuhiro</searchLink><br /><searchLink fieldCode="AR" term="%22Watanabe%2C+Yasuyoshi%22">Watanabe, Yasuyoshi</searchLink><br /><searchLink fieldCode="AR" term="%22Itoh%2C+Yoshiaki%22">Itoh, Yoshiaki</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Sep2018, Vol. 39 Issue 9, p1597-1602. 6p. 2 Color Photographs, 3 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Mild+cognitive+impairment%22">Mild cognitive impairment</searchLink><br /><searchLink fieldCode="DE" term="%22Alzheimer's+disease%22">Alzheimer's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Amyloid%22">Amyloid</searchLink><br /><searchLink fieldCode="DE" term="%22Dementia%22">Dementia</searchLink><br /><searchLink fieldCode="DE" term="%22Positron+emission+tomography%22">Positron emission tomography</searchLink>
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  Data: Mild cognitive impairment (MCI) can include the transition from a normal state to dementia. To explore biomarkers for the development of dementia, we performed an 18-month follow-up study in 28 patients with amnestic MCI. Amyloid deposition was examined using PiB PET, and cerebral blood flow (CBF) was examined using SPECT. Cognitive function was periodically assessed. The rate of conversion to dementia was higher in the PiB-positive/equivocal group (74%) than in the PiB-negative group (33%) (p = 0.041). Perfusion SPECT was performed in 16 patients. MCI patients with an AD-characteristic pattern of reduced CBF had a higher PiB-positive/equivocal rate (82%) than those with a non-AD pattern (20%) (p = 0.018), and patients with an AD pattern had a higher conversion rate (82%) than those with a non-AD pattern (40%) (p = 0.094). Clinically, all PiB-positive converters were diagnosed as having Alzheimer's disease (AD), whereas PiB-negative converters were thought to have some form of dementia other than AD. Amyloid PET is useful for predicting conversion to AD in MCI patients. A pattern analysis of perfusion SPECT findings might also be helpful for predicting conversion to AD, but with a lower specificity. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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