IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i5p547-d1383416.html
   My bibliography  Save this article

Clinical and Neuroimaging Predictors of Alzheimer’s Dementia Conversion in Patients with Mild Cognitive Impairment Using Amyloid Positron Emission Tomography by Quantitative Analysis over 2 Years

Author

Listed:
  • Seonjeong Kim

    (Department of Neurology, Cognitive Disorders and Dementia Center, Dong-A University College of Medicine, Busan 49201, Republic of Korea
    These authors contributed equally to this work.)

  • Daye Yoon

    (Department of Neurology, Cognitive Disorders and Dementia Center, Dong-A University College of Medicine, Busan 49201, Republic of Korea
    These authors contributed equally to this work.)

  • Junho Seong

    (Department of Neurology, Cognitive Disorders and Dementia Center, Dong-A University College of Medicine, Busan 49201, Republic of Korea)

  • Young Jin Jeong

    (Department of Nuclear Medicine, Dong-A University College of Medicine, Busan 49201, Republic of Korea)

  • Do-Young Kang

    (Department of Nuclear Medicine, Dong-A University College of Medicine, Busan 49201, Republic of Korea)

  • Kyung Won Park

    (Department of Neurology, Cognitive Disorders and Dementia Center, Dong-A University College of Medicine, Busan 49201, Republic of Korea)

Abstract

Patients with mild cognitive impairment (MCI) have a relatively high risk of developing Alzheimer’s dementia (AD), so early identification of the risk for AD conversion can lessen the socioeconomic burden. In this study, 18 F-Florapronol, newly developed in Korea, was used for qualitative and quantitative analyses to assess amyloid positivity. We also investigated the clinical predictors of the progression from MCI to dementia over 2 years. From December 2019 to December 2022, 50 patients with MCI were recruited at a single center, and 34 patients were included finally. Based on visual analysis, 13 (38.2%) of 34 participants were amyloid-positive, and 12 (35.3%) were positive by quantitative analysis. Moreover, 6 of 34 participants (17.6%) converted to dementia after a 2-year follow-up ( p = 0.173). Among the 15 participants who were positive for amyloid in the posterior cingulate region, 5 (33.3%) patients developed dementia ( p = 0.066). The Clinical Dementia Rating-Sum of Boxes (CDR-SOB) at baseline was significantly associated with AD conversion in multivariate Cox regression analyses ( p = 0.043). In conclusion, these results suggest that amyloid positivity in the posterior cingulate region and higher CDR-SOB scores at baseline can be useful predictors of AD conversion in patients with MCI.

Suggested Citation

  • Seonjeong Kim & Daye Yoon & Junho Seong & Young Jin Jeong & Do-Young Kang & Kyung Won Park, 2024. "Clinical and Neuroimaging Predictors of Alzheimer’s Dementia Conversion in Patients with Mild Cognitive Impairment Using Amyloid Positron Emission Tomography by Quantitative Analysis over 2 Years," IJERPH, MDPI, vol. 21(5), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:5:p:547-:d:1383416
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/5/547/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/21/5/547/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:21:y:2024:i:5:p:547-:d:1383416. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.