4.7 Article

Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study

Journal

JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 51, Issue 5, Pages 1478-1486

Publisher

WILEY
DOI: 10.1002/jmri.26958

Keywords

glioblastoma; vascularity; perfusion DSC; overall survival; multicenter study

Funding

  1. MTS4up project (National Plan for Scientific and Technical Research and Innovation 2013-2016) [DPI2016-80054-R]
  2. H2020-SC1-2016-CNECT Project [727560]
  3. H2020-SC1-BHC-2018-2020 [825750]
  4. Programa Estatal de Promocion del Talento y su Empleabilidad en I + D + i [DPI2016-80054-R]
  5. European Research Council (ERC) under the European Union's Horizon 2020 [758657]
  6. South-Eastern Norway Regional Health Authority Grants [2017073, 2013069]
  7. Research Council of Norway Grants [261984]
  8. NVIDIA Corporation
  9. European Union [844646]
  10. Marie Curie Actions (MSCA) [844646] Funding Source: Marie Curie Actions (MSCA)

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Background Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by a heterogeneous and abnormal vascularity. Subtypes of vascular habitats within the tumor and edema can be distinguished: high angiogenic tumor (HAT), low angiogenic tumor (LAT), infiltrated peripheral edema (IPE), and vasogenic peripheral edema (VPE). Purpose To validate the association between hemodynamic markers from vascular habitats and overall survival (OS) in glioblastoma patients, considering the intercenter variability of acquisition protocols. Study Type Multicenter retrospective study. Population In all, 184 glioblastoma patients from seven European centers participating in the NCT03439332 clinical study. Field Strength/Sequence 1.5T (for 54 patients) or 3.0T (for 130 patients). Pregadolinium and postgadolinium-based contrast agent-enhanced T-1-weighted MRI, T-2- and FLAIR T-2-weighted, and dynamic susceptibility contrast (DSC) T-2* perfusion. Assessment We analyzed preoperative MRIs to establish the association between the maximum relative cerebral blood volume (rCBV(max)) at each habitat with OS. Moreover, the stratification capabilities of the markers to divide patients into vascular groups were tested. The variability in the markers between individual centers was also assessed. Statistical Tests Uniparametric Cox regression; Kaplan-Meier test; Mann-Whitney test. Results The rCBV(max) derived from the HAT, LAT, and IPE habitats were significantly associated with patient OS (P < 0.05; hazard ratio [HR]: 1.05, 1.11, 1.28, respectively). Moreover, these markers can stratify patients into moderate- and high-vascular groups (P < 0.05). The Mann-Whitney test did not find significant differences among most of the centers in markers (HAT: P = 0.02-0.685; LAT: P = 0.010-0.769; IPE: P = 0.093-0.939; VPE: P = 0.016-1.000). Data Conclusion The rCBV(max) calculated in HAT, LAT, and IPE habitats have been validated as clinically relevant prognostic biomarkers for glioblastoma patients in the pretreatment stage. This study demonstrates the robustness of the hemodynamic tissue signature (HTS) habitats to assess the GBM vascular heterogeneity and their association with patient prognosis independently of intercenter variability. Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2019.

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