Textural measures have been widely explored as imaging biomarkers in cancer. However,
their robustness under dynamic range and spatial resolution changes in brain 3D magnetic
resonance images (MRI) has not been assessed. The aim of this work was to study potential
variations of textural measures due to changes in MRI protocols.
Materials and methods
Twenty patients harboring glioblastoma with pretreatment 3D T1-weighted MRIs were
included in the study. Four different spatial resolution combinations and three dynamic
ranges were studied for each patient. Sixteen three-dimensional textural heterogeneity
measures were computed for each patient and configuration including co-occurrence matrices
(CM) features and run-length matrices (RLM) features. The coefficient of variation was
used to assess the robustness of the measures in two series of experiments corresponding
to (i) changing the dynamic range and (ii) changing the matrix size.
No textural measures were robust under dynamic range changes. Entropy was the only textural
feature robust under spatial resolution changes (coefficient of variation under 10% in
Textural measures of three-dimensional brain tumor images are not robust neither under
dynamic range nor under matrix size changes. Standards should be harmonized to use textural
features as imaging biomarkers in radiomic-based studies. The implications of this work go beyond the specific tumor type studied here and pose the need for standardization
in textural feature calculation of oncological images.
Fuente: PLoS ONE 12(6): e0178843
Editorial: Public Library of Science
Año de publicación: 2017
Nº de páginas: 14
Tipo de publicación: Artículo de Revista
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PÉREZ BETETA, JULIÁN
MARTÍNEZ GONZÁLEZ, ALICIA
JUAN MARTINO GONZALEZ
CARLOS JOSE VELASQUEZ RODRIGUEZ
PÉREZ GARCÍA, VÍCTOR M.