This study aims to evaluate the impact of clinicopathological factors on metabolic parameters of 18F-FDG PET/CT in the different staging of breast cancer. 15 histopathologically confirmed breast cancer lesions on patients who underwent whole- body FDG-PET/CT for staging were retrospectively reviewed. Three PET/CT metabolic parameters including semiquantitative maximum standardised uptake value (SUVmax), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were quantified over the primary lesions of the breast. The parameters were statistically correlated with clinicopathological factors including patients’ age, body mass index (BMI) and tumour size. Multivariate regression was performed to determine the significant factors that best predicted those metabolic parameters. Tumour size was significantly correlated to all metabolic parameters (p < 0.001) and was a significant predictor of those parameters (p < 0.001). Tumour size accounted for 77.5%, 94.3% and 96.2% of the SUVmax, MTV and TLG variances, respectively. Tumour size significantly affects the metabolic parameters of 18F-FDG PET/CT (SUVmax, MTV and TLG) in the staging of breast cancer. Therefore, tumour size has a prognostic value for the staging of breast cancer in a 18F-FDG PET/CT study for improved clinical management.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.