Prediction of post-stroke cognitive impairment using brain FDG PET: deep learning-based approach.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Oct 2, 2021

Abstract

PURPOSE: Post-stroke cognitive impairment can affect up to one third of stroke survivors. Since cognitive function greatly contributes to patients' quality of life, an objective quantitative biomarker for early prediction of dementia after stroke is required. We developed a deep-learning (DL)-based signature using positron emission tomography (PET) to objectively evaluate cognitive decline in patients with stroke.

Authors

  • Reeree Lee
    Department of Nuclear Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 224-1, Heukseok-dong, Dongjak-gu, Seoul, 06974, Republic of Korea.
  • Hongyoon Choi
    Cheonan Public Health Center, 234-1 Buldang-Dong, Seobuk-Gu, Cheonan, Republic of Korea.
  • Kwang-Yeol Park
    Department of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 224-1, Heukseok-dong, Dongjak-gu, Seoul, 06974, Republic of Korea. kwangyeol.park@gmail.com.
  • Jeong-Min Kim
    Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Ju Won Seok
    Department of Nuclear Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 224-1, Heukseok-dong, Dongjak-gu, Seoul, 06974, Republic of Korea. joneseok@cau.ac.kr.

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