Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent
malignancy of the central nervous system. Imaging studies of BMs are routinely used for …

… Our results also differ from those of Pérez-Beteta et al (21), where volumes and geometric
… Pérez Beteta, M.Amo Salas, GAJiménez Londoño, FJPena Pardo, ÁMSoriano Castrejón, VM…

Most physical and other natural systems are complex entities that are composed of a large
number of interacting individual elements. It is a surprising fact that they often obey the so-…

… As presented by Pérez-Beteta et al. [16], tumor geometry holds important information for
survival prediction. Accordingly, we consider 26 geometrical features which include volumes (…

Objective: The main objective of this retrospective work was the study of three-dimensional (3D)
heterogeneity measures of post-contrast pre-operative MR images acquired with T 1 …

Purpose Tumor heterogeneity in medical imaging is a current research trend due to its
potential relationship with tumor malignancy. The aim of this study is to analyze the effect of …

Purpose Textural measures have been widely explored as imaging biomarkers in cancer.
However, their robustness under dynamic range and spatial resolution changes in brain 3D …

Background The potential of a tumour’s volumetric measures obtained from pretreatment
MRI sequences of glioblastoma (GBM) patients as predictors of clinical outcome has been …

Human cancers are biologically and morphologically heterogeneous. A variety of clonal
populations emerge within these neoplasms and their interaction leads to complex …

Aim To assess the predictive and prognostic value of textural parameters in locally advanced
breast cancer (LABC) obtained by 18 F-FDG PET/CT. Methods Prospective study including …