OBJECTIVE. Texture analysis involves the mathematic processing of medical images to
derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have …

Radiomics is an evolving field in which the extraction of large amounts of features from
diagnostic medical images may be used to predict underlying molecular and genetic …

Purpose To correlate computed tomographic (CT) texture in non–small cell lung cancer
(NSCLC) with histopathologic markers for angiogenesis and hypoxia. Materials and …

Purpose Standardized uptake values (SUV) are commonly used for quantification of whole-
body [18 F] fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) studies …

Background Robust approaches to quantify tumor heterogeneity are needed to provide early
decision support for precise individualized therapy. Purpose To conduct a technical …

Purpose This retrospective study was done to examine whether the heterogeneity in primary
tumour F-18-fluorodeoxyglucose (18 F-FDG) distribution can predict tumour response and …

Hepatocellular carcinoma (HCC) is characterized by high heterogeneity in both intratumoral
and interpatient manners. While interpatient heterogeneity is related to personalized …

Distant failure is the main cause of human cancer-related mortalities. To develop a model for
predicting distant failure in non-small cell lung cancer (NSCLC) and cervix cancer (CC) …

Objective To explore the relationship of a new PET image parameter, 18 F-
fluorodeoxyglucose (18 F-FDG) uptake heterogeneity assessed by texture analysis, with …

Background The purpose of this study was to evaluate the prognostic implication of findings
of intratumoral metabolic heterogeneity on pretreatment 18 F-FDG PET/CT scans in patients …