Noninvasive amide proton transfer magnetic resonance imaging in evaluating the grading and cellularity of gliomas

  • Yan Bai
  • , Yusong Lin
  • , Wei Zhang
  • , Lingfei Kong
  • , Lifu Wang
  • , Panli Zuo
  • , Ignacio Vallines
  • , Benjamin Schmitt
  • , Jie Tian
  • , Xiaolei Song
  • , Jinyuan Zhou
  • , Meiyun Wang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Using noninvasive magnetic resonance imaging techniques to accurately evaluate the grading and cellularity of gliomas is beneficial for improving the patient outcomes. Amide proton transfer imaging is a noninvasive molecular magnetic resonance imaging technique based on chemical exchange saturation transfer mechanism that detects endogenous mobile proteins and peptides in biological tissues. Between August 2012 and November 2015, a total number of 44 patients with pathologically proven gliomas were included in this study. We compared the capability of amide proton transfer magnetic resonance imaging with that of noninvasive diffusion-weighted imaging and noninvasive 3-dimensional pseudo-continuous arterial spin imaging in evaluating the grading and cellularity of gliomas. Our results reveal that amide proton transfer magnetic resonance imaging is a superior imaging technique to diffusion-weighted imaging and 3-dimensional pseudo-continuous arterial spin imaging in the grading of gliomas. In addition, our results showed that the Ki-67 index correlated better with the amide proton transfer-weighted signal intensity than with the apparent diffusion coefficient value or the cerebral blood flow value in the gliomas. Amide proton transfer magnetic resonance imaging is a promising method for predicting the grading and cellularity of gliomas.

Original languageEnglish
Pages (from-to)5834-5842
Number of pages9
JournalOncotarget
Volume8
Issue number4
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Amide proton transfer
  • Glioma
  • Grading
  • Ki-67
  • Magnetic resonance imaging

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