Quantification of glioblastoma mass effect by lateral ventricle displacement

Tyler C. Steed, Jeffrey M. Treiber, Michael G. Brandel, Kunal S. Patel, Anders M. Dale, Bob S. Carter, Clark C. Chen

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Mass effect has demonstrated prognostic significance for glioblastoma, but is poorly quantified. Here we define and characterize a novel neuroimaging parameter, lateral ventricle displacement (LVd), which quantifies mass effect in glioblastoma patients. LVd is defined as the magnitude of displacement from the center of mass of the lateral ventricle volume in glioblastoma patients relative to that a normal reference brain. Pre-operative MR images from 214 glioblastoma patients from The Cancer Imaging Archive (TCIA) were segmented using iterative probabilistic voxel labeling (IPVL). LVd, contrast enhancing volumes (CEV) and FLAIR hyper-intensity volumes (FHV) were determined. Associations with patient survival and tumor genomics were investigated using data from The Cancer Genome Atlas (TCGA). Glioblastoma patients had significantly higher LVd relative to patients without brain tumors. The variance of LVd was not explained by tumor volume, as defined by CEV or FLAIR. LVd was robustly associated with glioblastoma survival in Cox models which accounted for both age and Karnofsky's Performance Scale (KPS) (p = 0.006). Glioblastomas with higher LVd demonstrated increased expression of genes associated with tumor proliferation and decreased expression of genes associated with tumor invasion. Our results suggest LVd is a quantitative measure of glioblastoma mass effect and a prognostic imaging biomarker.

Original languageEnglish (US)
Article number2827
JournalScientific reports
Issue number1
StatePublished - Dec 1 2018

Bibliographical note

Funding Information:
We thank Danielle Steed, PhD for her review and thorough editing of this manuscript. This work was supported by 1RO1NS097649-01, the Doris Duke Charitable Foundation Clinical Scientist Development Award, The Sontag Foundation Distinguished Scientist Award, the Kimmel Scholar Award, and BWF 1006774.01 awarded to CCC.

Publisher Copyright:
© 2018 The Author(s).


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