Classification of High-Grade Glioma into Tumor and Nontumor Components Using Support Vector Machine.

Journal: AJNR. American journal of neuroradiology
Published Date: Apr 6, 2017

Abstract

BACKGROUND AND PURPOSE: Current imaging assessment of high-grade brain tumors relies on the Response Assessment in Neuro-Oncology criteria, which measure gross volume of enhancing and nonenhancing lesions from conventional MRI sequences. These assessments may fail to reliably distinguish tumor and nontumor. This study aimed to classify enhancing and nonenhancing lesion areas into tumor-versus-nontumor components.

Authors

  • D T Blumenthal
    From the Neuro-Oncology Service (D.T.B., F.B.).
  • M Artzi
    Functional Brain Center (M.A., O.A., D.B.B.), Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • G Liberman
    Department of Chemical Physics (G.L.), Weizmann Institute, Tel Aviv, Israel.
  • F Bokstein
    From the Neuro-Oncology Service (D.T.B., F.B.).
  • O Aizenstein
    Functional Brain Center (M.A., O.A., D.B.B.), Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • D Ben Bashat
    Functional Brain Center (M.A., O.A., D.B.B.), Tel Aviv Sourasky Medical Center, Tel Aviv, Israel dafnab@tlvmc.gov.il.

Keywords

External Resources

Popular Topics
Recent Journals