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Textural features and SUV-based variables assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer

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AimTo study the influence of dual time point 18F-FDG PET/CT in textural features and SUV-based variables and their relation among them.MethodsFifty-six patients with locally advanced breast cancer (LABC) were prospectively… Click to show full abstract

AimTo study the influence of dual time point 18F-FDG PET/CT in textural features and SUV-based variables and their relation among them.MethodsFifty-six patients with locally advanced breast cancer (LABC) were prospectively included. All of them underwent a standard 18F-FDG PET/CT (PET-1) and a delayed acquisition (PET-2). After segmentation, SUV variables (SUVmax, SUVmean, and SUVpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were obtained. Eighteen three-dimensional (3D) textural measures were computed including: run-length matrices (RLM) features, co-occurrence matrices (CM) features, and energies. Differences between all PET-derived variables obtained in PET-1 and PET-2 were studied.ResultsSignificant differences were found between the SUV-based parameters and MTV obtained in the dual time point PET/CT, with higher values of SUV-based variables and lower MTV in the PET-2 with respect to the PET-1. In relation with the textural parameters obtained in dual time point acquisition, significant differences were found for the short run emphasis, low gray-level run emphasis, short run high gray-level emphasis, run percentage, long run emphasis, gray-level non-uniformity, homogeneity, and dissimilarity. Textural variables showed relations with MTV and TLG.ConclusionSignificant differences of textural features were found in dual time point 18F-FDG PET/CT. Thus, a dynamic behavior of metabolic characteristics should be expected, with higher heterogeneity in delayed PET acquisition compared with the standard PET. A greater heterogeneity was found in bigger tumors.

Keywords: pet; 18f fdg; dual time; time point

Journal Title: Annals of Nuclear Medicine
Year Published: 2017

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