Radiogenomics of glioblastoma: A pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype

Nicholas M. Czarnek, Kal Clark, Katherine B. Peters, Leslie M. Collins, MacIej A. Mazurowski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Genomic subtype has been shown to be an important predictor of therapy response for patients with glioblastomas. Unfortunately, obtaining the genomic subtype is an expensive process that is not typically included in the standard of care. It is therefore of interest to investigate potential surrogates of molecular subtypes that use standard diagnostic data such as magnetic resonance (MR) imaging. In this study, we analyze the relationship between tumor genomic subtypes, proposed by Verhaak et al, 2010, and novel features that capture the shape of abnormalities as seen in fluid attenuated inversion recovery (FLAIR) MR images. In our study, we used data from 54 patients with glioblastomas from four institutions provided by The Cancer Genome Atlas (TCGA) and The Cancer Imaging Archive (TCIA). We explore five shape features calculated by computer algorithms implemented in our laboratory that assess shape both in individual slices and in rendered three-dimensional tumor volumes. The association between each feature and molecular subtype was assessed using area under the receiver operating characteristic curve analysis. We show that the two dimensional measures of edge complexity are significant discriminators between mesenchymal and classical tumors. These preliminary findings show promise for an imaging-based surrogate of molecular subtype and contribute to the understanding of the relationship between tumor biology and its radiology phenotype.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016
Subtitle of host publicationComputer-Aided Diagnosis
EditorsGeorgia D. Tourassi, Samuel G. Armato
PublisherSPIE
ISBN (Electronic)9781510600201
DOIs
StatePublished - Jan 1 2016
Externally publishedYes
EventMedical Imaging 2016: Computer-Aided Diagnosis - San Diego, United States
Duration: Feb 28 2016Mar 2 2016

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9785
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2016: Computer-Aided Diagnosis
CountryUnited States
CitySan Diego
Period2/28/163/2/16

Keywords

  • Classical
  • Magnetic resonance imaging
  • Mesenchymal
  • Shape
  • Subtype

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Czarnek, N. M., Clark, K., Peters, K. B., Collins, L. M., & Mazurowski, M. A. (2016). Radiogenomics of glioblastoma: A pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype. In G. D. Tourassi, & S. G. Armato (Eds.), Medical Imaging 2016: Computer-Aided Diagnosis [97850V] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9785). SPIE. https://doi.org/10.1117/12.2217084