Early Changes in Tumor Perfusion from T1-Weighted Dynamic Contrast-Enhanced MRI Following Neural Stem Cell-Mediated Therapy of Recurrent High-Grade Glioma Correlate with Overall Survival
Overview
Authors
Affiliations
Background: The aim of this study was to correlate T1-weighted dynamic contrast-enhanced MRI- (DCE-MRI-) derived perfusion parameters with overall survival of recurrent high-grade glioma patients who received neural stem cell- (NSC-) mediated enzyme/prodrug gene therapy.
Methods: A total of 12 patients were included in this retrospective study. All patients were enrolled in a first-in-human study (NCT01172964) of NSC-mediated therapy for recurrent high-grade glioma. DCE-MRI data from all patients were collected and analyzed at three time points: MRI#1-day 1 postsurgery/treatment, MRI#2- day 7 ± 3 posttreatment, and MRI#3-one-month follow-up. Plasma volume (), permeability (), and leakage () perfusion parameters were calculated by fitting a pharmacokinetic model to the DCE-MRI data. The contrast-enhancing (CE) volume was measured from the last dynamic phase acquired in the DCE sequence. Perfusion parameters and CE at each MRI time point were recorded along with their relative change between MRI#2 and MRI#3 (Δ). Cox regression was used to analyze patient survival.
Results: At MRI#1 and at MRI#3, none of the parameters showed a significant correlation with overall survival (OS). However, at MRI#2, CE and were significantly associated with OS ( < 0.05). The relative and from timepoint 2 to timepoint 3 (Δ and Δ) were each associated with a higher hazard ratio ( < 0.05). All parameters were highly correlated, resulting in a multivariate model for OS including only CE at MRI#2 and Δ, with an of 0.89.
Conclusion: The change in perfusion parameter values from 1 week to 1 month following NSC-mediated therapy combined with contrast-enhancing volume may be a useful biomarker to predict overall survival in patients with recurrent high-grade glioma.
Repeatability of tumor perfusion kinetics from dynamic contrast-enhanced MRI in glioblastoma.
Woodall R, Sahoo P, Cui Y, Chen B, Shiroishi M, Lavini C Neurooncol Adv. 2022; 3(1):vdab174.
PMID: 34988454 PMC: 8715899. DOI: 10.1093/noajnl/vdab174.
The adaptive transition of glioblastoma stem cells and its implications on treatments.
Wang Z, Zhang H, Xu S, Liu Z, Cheng Q Signal Transduct Target Ther. 2021; 6(1):124.
PMID: 33753720 PMC: 7985200. DOI: 10.1038/s41392-021-00491-w.
Kamimura K, Nakajo M, Yoneyama T, Bohara M, Nakanosono R, Fujio S Jpn J Radiol. 2020; 38(7):649-657.
PMID: 32162178 DOI: 10.1007/s11604-020-00942-4.