CEST2022: Amide proton transfer-weighted MRI improves the diagnostic performance of multiparametric non-contrast-enhanced MRI techniques in patients with post-treatment high-grade gliomas

Qianqi Huang, Jingpu Wu, Nhat Le, Yiqing Shen, Pengfei Guo, Karisa C. Schreck, David Kamson, Lindsay Blair, Hye Young Heo, Xu Li, Wenbo Li, Haris L. Sair, Jaishri O. Blakeley, John Laterra, Matthias Holdhoff, Stuart A. Grossman, Debraj Mukherjee, Chetan Bettegowda, Peter van Zijl, Jinyuan ZhouShanshan Jiang

Research output: Contribution to journalArticlepeer-review

Abstract

New or enlarged lesions in malignant gliomas after surgery and chemoradiation can be associated with tumor recurrence or treatment effect. Due to similar radiographic characteristics, conventional—and even some advanced MRI techniques—are limited in distinguishing these two pathologies. Amide proton transfer-weighted (APTw) MRI, a protein-based molecular imaging technique that does not require the administration of any exogenous contrast agent, was recently introduced into the clinical setting. In this study, we evaluated and compared the diagnostic performances of APTw MRI with several non-contrast-enhanced MRI sequences, such as diffusion-weighted imaging, susceptibility-weighted imaging, and pseudo-continuous arterial spin labeling. Thirty-nine scans from 28 glioma patients were obtained on a 3 T MRI scanner. A histogram analysis approach was employed to extract parameters from each tumor area. Statistically significant parameters (P < 0.05) were selected to train multivariate logistic regression models to evaluate the performance of MRI sequences. Multiple histogram parameters, particularly from APTw and pseudo-continuous arterial spin labeling images, demonstrated significant differences between treatment effect and recurrent tumor. The regression model trained on the combination of all significant histogram parameters achieved the best result (area under the curve = 0.89). We found that APTw images added value to other advanced MR images for the differentiation of treatment effect and tumor recurrence.

Original languageEnglish (US)
Pages (from-to)222-228
Number of pages7
JournalMagnetic Resonance Imaging
Volume102
DOIs
StatePublished - Oct 2023

Keywords

  • Amide proton transfer-weighted imaging
  • Arterial spin labeling imaging
  • Glioblastoma
  • Magnetic resonance imaging
  • Treatment effect

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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