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Gaceta médica de México

On-line version ISSN 2696-1288Print version ISSN 0016-3813

Abstract

ROLDAN-VALADEZ, Ernesto; ANAYA-SANCHEZ, Sofía; RIVERA-SOTELO, Nathaly  and  MORENO-JIMENEZ, Sergio. Diffusion tensor imaging-derived biomarkers performance in glioblastoma tumor regions: exploratory data analysis using zombie plots and diagnostic tests. Gac. Méd. Méx [online]. 2022, vol.158, n.1, pp.57-65.  Epub Apr 25, 2022. ISSN 2696-1288.  https://doi.org/10.24875/gmm.21000583.

Introduction:

Using diffusion tensor imaging (DTI), 11 biomarkers have been reported in different glioblastoma regions.

Objective:

To compare the efficacy of glioblastoma biomarkers using “zombie plots”.

Methods:

Retrospective cohort of 29 subjects with glioblastoma 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.

Keywords : Brain neoplasms; Diffusion tensor imaging; Likelihood ratio; ROC curve; Sensitivity and specificity.

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