Characterizing tumor heterogeneity using texture indices derived from PET images has
shown promise in predicting treatment response and patient survival in some types of …

The use of texture indices to characterize tumor heterogeneity from PET images is being
increasingly investigated in retrospective studies, yet the interpretation of PET-derived …

Abstract 18 F-Fluorodeoxyglucose positron emission tomography/computed tomography (18
F-FDG PET/CT) is now routinely used in oncological imaging for diagnosis and staging and …

After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …

Texture indices are of growing interest for tumor characterization in 18F-FDG PET. Yet, on
the basis of results published in the literature so far, it is unclear which indices should be …

Background Tumor spatial heterogeneity is an important prognostic factor, which may be
reflected in medical images Methods Image texture analysis is an approach of quantifying …

Textural analysis might give new insights into the quantitative characterization of
metabolically active tumors. More than thirty textural parameters have been investigated in …

Background There is currently little support to understand which pathological factors led to
differences in tumor texture as measured from FDG PET/CT images. We studied whether …

Purpose Image texture is increasingly used to discriminate tissues and lesions in PET/CT.
For quantification or in computer-aided diagnosis, textural feature analysis must produce …

Intratumoral uptake heterogeneity in 18F-FDG PET has been associated with patient
treatment outcomes in several cancer types. Textural feature analysis is a promising method …