UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Characterizing tumor invasiveness of glioblastoma using multiparametric magnetic resonance imaging

Li, C; Wang, S; Yan, J-L; Torheim, T; Boonzaier, NR; Sinha, R; Matys, T; ... Price, SJ; + view all (2020) Characterizing tumor invasiveness of glioblastoma using multiparametric magnetic resonance imaging. Journal of Neurosurgery , 132 (5) pp. 1465-1472. 10.3171/2018.12.JNS182926. Green open access

[thumbnail of Article]
Preview
Text (Article)
Boonzaier_[19330693 - Journal of Neurosurgery] Characterizing tumor invasiveness of glioblastoma using multiparametric magnetic resonance imaging.pdf - Published Version

Download (7MB) | Preview
[thumbnail of Supplementary Table 1]
Preview
Text (Supplementary Table 1)
Boonzaier_TableS1_JNS182926.pdf - Published Version

Download (436kB) | Preview

Abstract

OBJECTIVE: The objective of this study was to characterize the abnormalities revealed by diffusion tensor imaging (DTI) using MR spectroscopy (MRS) and perfusion imaging, and to evaluate the prognostic value of a proposed quantitative measure of tumor invasiveness by combining contrast-enhancing (CE) and DTI abnormalities in patients with glioblastoma. METHODS: Eighty-four patients with glioblastoma were recruited preoperatively. DTI was decomposed into isotropic (p) and anisotropic (q) components. The relative cerebral blood volume (rCBV) was calculated from the dynamic susceptibility contrast imaging. Values of N-acetylaspartate, myoinositol, choline (Cho), lactate (Lac), and glutamate + glutamine (Glx) were measured from multivoxel MRS and normalized as ratios to creatine (Cr). Tumor regions of interest (ROIs) were manually segmented from the CE T1-weighted (CE-ROI) and DTI-q (q-ROI) maps. Perfusion and metabolic characteristics of these ROIs were measured and compared. The relative invasiveness coefficient (RIC) was calculated as a ratio of the characteristic radii of CE-ROI and q-ROI. The prognostic significance of RIC was tested using Kaplan-Meier and multivariate Cox regression analyses. RESULTS: The Cho/Cr, Lac/Cr, and Glx/Cr in q-ROI were significantly higher than CE-ROI (p = 0.004, p = 0.005, and p = 0.007, respectively). CE-ROI had significantly higher rCBV values than q-ROI (p < 0.001). A higher RIC was associated with worse survival in a multivariate overall survival (OS) model (hazard ratio [HR] 1.40, 95% confidence interval [CI] 1.06–1.85, p = 0.016) and progression-free survival (PFS) model (HR 1.55, 95% CI 1.16–2.07, p = 0.003). An RIC cutoff value of 0.89 significantly predicted shorter OS (median 384 vs 605 days, p = 0.002) and PFS (median 244 vs 406 days, p = 0.001). CONCLUSIONS: DTI-q abnormalities displayed higher tumor load and hypoxic signatures compared with CE abnormalities, whereas CE regions potentially represented the tumor proliferation edge. Integrating the extents of invasion visualized by DTI-q and CE images into clinical practice may lead to improved treatment efficacy.

Type: Article
Title: Characterizing tumor invasiveness of glioblastoma using multiparametric magnetic resonance imaging
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.3171/2018.12.JNS182926
Publisher version: https://doi.org/10.3171/2018.12.JNS182926
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: glioblastoma; MRI; diffusion tensor imaging; magnetic resonance spectroscopy; prognosis; oncology; perfusion imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Neurosciences Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10075825
Downloads since deposit
287Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item