Related Experiment Video
Updated: Sep 27, 2025
Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
Published on: January 9, 2019
Diffusion tensor imaging-derived biomarkers performance in glioblastoma tumor regions: exploratory data analysis
Ernesto Roldán-Valadez1, Sofía Anaya-Sánchez2, Nathaly Rivera-Sotelo1
1Research Director's Office, Hospital General de Mexico "Dr. Eduardo Liceaga", Mexico City.
Introduction:
Using diffusion tensor imaging (DTI), 11 biomarkers have been reported in different glioblastoma (GB) regions.
Objective:
To compare the efficacy of GB biomarkers using "zombie plots".
Methods:
Retrospective cohort of 29 subjects with GB who underwent 3-Tesla brain magnetic resonance imaging. DTI major, intermediate and minor eigenvalues were used to calculate biomarkers at five tumor regions: normal-appearing white matter (NAWM), proximal and distal edema, tumor tissue and necrosis. Contingency tables with true and false positive and negative results allowed the calculation of zombie plots based on the Bayes factor and previously unreported diagnostic tests.
Results:
The MD, FA, q, L, Cl, Cp and RA biomarkers had a good performance at the optimal zone for NAWM diagnosis. The proximal and distal edema, enhancing rim and necrosis regions do not have biomarkers that identify them with an optimal performance level.
Conclusions:
Zombie plots allow simultaneous comparison of biomarkers based on likelihood ratios. MD, FA, q, L, Cl, Cp, RA discriminated NAWM normal brain tissue at the optimal zone, but performance for other regions was at the mediocre, diagnostic inclusion and diagnostic exclusion zones.
