Cutoff SUVR of [F]Florapronol PET for Differentiating Alzheimer's Dementia from Normal Controls: Insights from ROC Analysis and Partial Volume Correction.

Journal: Nuclear medicine and molecular imaging
Published Date: Feb 20, 2025

Abstract

OBJECTIVES: The primary endpoint of this study is to establish a reliable SUVR cutoff threshold to distinguish patients with Alzheimer's disease (AD), excluding those with mild cognitive impairment (MCI), from normal control (NC) individuals using [F]florapronol PET imaging and deep learning-based automated quantification software. The secondary endpoint is to evaluate whether combining partial volume correction (PVC) with SUVR analysis improves diagnostic accuracy in detecting AD.

Authors

  • Su Yeon Park
    Departments of Neurology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), 75 Nowongil, Nowon Gu, Seoul, 139-706 Republic of Korea.
  • Inki Lee
    Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
  • Ilhan Lim
    Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.
  • Byung Il Kim
    Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
  • Chang Woon Choi
    Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
  • In Ok Ko
    Division of Applied RI, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
  • Byung Hyun Byun
    Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.
  • Jeong Ho Ha
    Departments of Neurology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), 75 Nowongil, Nowon Gu, Seoul, 139-706 Republic of Korea.

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