• Gac Med Mex · Jan 2022

    Diffusion tensor imaging-derived biomarkers performance in glioblastoma tumor regions: exploratory data analysis using zombie plots and diagnostic tests.

    • Ernesto Roldán-Valadez, Sofía Anaya-Sánchez, Nathaly Rivera-Sotelo, and Sergio Moreno-Jiménez.
    • Research Director's Office, Hospital General de Mexico "Dr. Eduardo Liceaga", Mexico City.
    • Gac Med Mex. 2022 Jan 1; 158 (1): 55-62.

    IntroductionUsing diffusion tensor imaging (DTI), 11 biomarkers have been reported in different glioblastoma (GB) regions.ObjectiveTo compare the efficacy of GB biomarkers using "zombie plots".MethodsRetrospective 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.ResultsThe 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.ConclusionsZombie 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.Copyright: © 2022 Permanyer.

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