Litcius/Paper detail

Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review

Anne-Leen Deleu, Machaba Junior Sathekge, Alex Maes, Bart De Spiegeleer, Mike Sathekge, Christophe Van de Wiele

2020Biomedicines10 citationsDOIOpen Access PDF

Abstract

Radiomics or textural feature extraction obtained from positron emission tomography (PET) images through complex mathematical models of the spatial relationship between multiple image voxels is currently emerging as a new tool for assessing intra-tumoral heterogeneity in medical imaging. In this paper, available literature on texture analysis using FDG PET imaging in patients suffering from tumors of the gastro-intestinal tract is reviewed. While texture analysis of FDG PET images appears clinically promising, due to the lack of technical specifications, a large variability in the implemented methodology used for texture analysis and lack of statistical robustness, at present, no firm conclusions can be drawn regarding the predictive or prognostic value of FDG PET texture analysis derived indices in patients suffering from gastro-enterologic tumors. In order to move forward in this field, a harmonized image acquisition and processing protocol as well as a harmonized protocol for texture analysis of tumor volumes, allowing multi-center studies excluding statistical biases should be considered. Furthermore, the complementary and additional value of CT-imaging, as part of the PET/CT imaging technique, warrants exploration.

Topics & Concepts

VoxelPositron emission tomographyArtificial intelligenceComputer scienceTexture (cosmology)Image textureMedical imagingRadiomicsPET-CTPet imagingRobustness (evolution)MedicineNuclear medicineImage processingRadiologyPattern recognition (psychology)Image (mathematics)GeneBiochemistryChemistryRadiomics and Machine Learning in Medical ImagingGastric Cancer Management and OutcomesPancreatic and Hepatic Oncology Research