Applying Amide Proton Transfer MR Imaging to Hybrid Brain PET/MR: Concordance with Gadolinium Enhancement and Added Value to [18F]FDG PET

Hongzan Sun, Jun Xin, Jinyuan Zhou, Zaiming Lu, Qiyong Guo

Research output: Contribution to journalArticle

Abstract

Purpose: The purpose of this study is to evaluate the diagnostic concordance and metric correlations of amide proton transfer (APT) imaging with gadolinium-enhanced magnetic resonance imaging (MRI) and 2-deoxy-2-[18F-]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET), using hybrid brain PET/MRI. Procedures: Twenty-one subjects underwent brain gadolinium-enhanced [18F]FDG PET/MRI prospectively. Imaging accuracy was compared between unenhanced MRI, MRI with enhancement, APT-weighted (APTW) images, and PET based on six diagnostic criteria. Among tumors, the McNemar test was further used for concordance assessment between gadolinium-enhanced imaging, APT imaging, and [18F]FDG PET. As well, the relation of metrics between APT imaging and PET was analyzed by the Pearson correlation analysis. Results: APT imaging and gadolinium-enhanced MRI showed superior and similar diagnostic accuracy. APTW signal intensity and gadolinium enhancement were concordant in 19 tumors (100 %), while high [18F]FDG avidity was shown in only 12 (63.2 %). For the metrics from APT imaging and PET, there was significant correlation for 13 hypermetabolic tumors (P < 0.05) and no correlation for the remaining six [18F]FDG-avid tumors. Conclusions: APT imaging can be used to increase diagnostic accuracy with no need to administer gadolinium chelates. APT imaging may provide an added value to [18F]FDG PET in the evaluation of tumor metabolic activity during brain PET/MR studies.

Original languageEnglish (US)
Pages (from-to)473-481
Number of pages9
JournalMolecular Imaging and Biology
Volume20
Issue number3
DOIs
StatePublished - Jun 1 2018

Keywords

  • APT imaging
  • Brain
  • Gd contrast
  • PET/MR
  • [F]FDG

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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