Quantitative multiparametric MRI assessment of glioma response to radiotherapy in a rat model

Xiaohua Hong, Li Liu, Meiyun Wang, Kai Ding, Ying Fan, Bo Ma, Bachchu Lal, Betty Tyler, Antonella Mangraviti, Silun Wang, John Wong, John Laterra, Jinyuan Zhou

Research output: Contribution to journalArticlepeer-review

Abstract

Background The inability of structural MRI to accurately measure tumor response to therapy complicates care management for patients with gliomas. The purpose of this study was to assess the potential of several noninvasive functional and molecular MRI biomarkers for the assessment of glioma response to radiotherapy. Methods Fourteen U87 tumor-bearing rats were irradiated using a small-animal radiation research platform (40 or 20 Gy), and 6 rats were used as controls. MRI was performed on a 4.7 T animal scanner, preradiation treatment, as well as at 3, 6, 9, and 14 days postradiation. Image features of the tumors, as well as tumor volumes and animal survival, were quantitatively compared. Results Structural MRI showed that all irradiated tumors still grew in size during the initial days postradiation. The apparent diffusion coefficient (ADC) values of tumors increased significantly postradiation (40 and 20 Gy), except at day 3 postradiation, compared with preradiation. The tumor blood flow decreased significantly postradiation (40 and 20 Gy), but the relative blood flow (tumor vs contralateral) did not show a significant change at most time points postradiation. The amide proton transfer weighted (APTw) signals of the tumor decreased significantly at all time points postradiation (40 Gy), and also at day 9 postradiation (20 Gy). The blood flow and APTw maps demonstrated tumor features that were similar to those seen on gadolinium-enhanced T 1-weighted images. Conclusions Tumor ADC, blood flow, and APTw were all useful imaging biomarkers by which to predict glioma response to radiotherapy. The APTw signal was most promising for early response assessment in this model.

Original languageEnglish (US)
Pages (from-to)856-867
Number of pages12
JournalNeuro-oncology
Volume16
Issue number6
DOIs
StatePublished - Jun 2014

Keywords

  • APT imaging
  • glioma
  • multiparametric MRI
  • radiotherapy
  • response assessment

ASJC Scopus subject areas

  • Oncology
  • Clinical Neurology
  • Cancer Research

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