Distinct subtypes of spatial brain metabolism patterns in Alzheimer's disease identified by deep learning-based FDG PET clusters.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Sep 22, 2023

Abstract

PURPOSE: Alzheimer's disease (AD) is a heterogeneous disease that presents a broad spectrum of clinicopathologic profiles. To date, objective subtyping of AD independent of disease progression using brain imaging has been required. Our study aimed to extract representations of unique brain metabolism patterns different from disease progression to identify objective subtypes of AD.

Authors

  • Hyun Gee Ryoo
    Department of Nuclear Medicine, Seoul National University Hospital, 28 Yongon-Dong, Jongno-Gu, Seoul, 110-744, South Korea.
  • Hongyoon Choi
    Cheonan Public Health Center, 234-1 Buldang-Dong, Seobuk-Gu, Cheonan, Republic of Korea.
  • Kuangyu Shi
    Universitätsklinik für Nuklearmedizin, Inselspital University Hospital Bern, University of Bern, Bern, Switzerland.
  • Axel Rominger
  • Dong Young Lee
    Department of Neuropsychiatry, Seoul National University, Seoul, Korea.
  • Dong Soo Lee
    Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.

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