Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma

Journal of Medical Imaging
E WolsztynskiJanet F Eary

Abstract

Intratumoral heterogeneity biomarkers derived from positron emission tomography (PET) imaging with fluorodeoxyglucose (FDG) are of interest for a number of cancers, including sarcoma. A range of radiomic texture variables, adapted from general methodologies for image analysis, has shown promise in the setting. In the context of sarcoma, our group introduced an alternative model-based approach to the measurement of heterogeneity. In this approach, the heterogeneity of a tumor is characterized by the extent to which the 3-D FDG uptake pattern deviates from a simple elliptically contoured structure. By using a nonparametric analysis of the uptake profile obtained from this spatial model, a variable assessing the metabolic gradient of the tumor is developed. The work explores the prognostic potential of this new variable in the context of FDG-PET imaging of sarcoma. A mature clinical series involving 197 patients, 88 of whom have complete time-to-death information, is used. Texture variables based on the imaging data are also evaluated in this series and a range of appropriate machine learning methodologies are then used to explore the complementary prognostic roles for structure and texture variables. We conclude that both texture...Continue Reading

Citations

Sep 19, 2019·The Quarterly Journal of Nuclear Medicine and Molecular Imaging : Official Publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of Radiopharmaceutica·Marta BogowiczStephanie Tanadini-Lang
Oct 14, 2020·EMBO Molecular Medicine·Thomas Gp GrünewaldDominique Heymann
Oct 29, 2020·The British Journal of Radiology·Shervin M ShirvaniSamuel Mazin
Jan 30, 2021·Seminars in Nuclear Medicine·Mathieu HattDimitris Visvikis
Mar 7, 2021·Diagnostics·Manuel Piñeiro-FielPablo Aguiar

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