The correlation between 18F FDG PET CT metabolic parameters and pathological prognostic factors in early breast cancer patients

Document Type : Original Article

Authors

1 Nuclear medicine unit, Kasr Al-Ainy Hospital, Cairo University, Cairo, Egypt.

2 Department of radiotherapy and nuclear medicine (NEMROCK) , Kasr Al-Ainy Hospital , Cairo University

3 Oncology unit. Oncology and Nuclear Medicine Department (NEMROCK), Kasr Elainy Hospital, Cairo University.

4 Professor of Nuclear Medicine Faculty of Medicine, Cairo University

Abstract

Objective: correlation between volumetric F18 FDG parameters of primary breast neoplasm and clinico pathological factors in early stage disease. Methods: 34 female patients were included in this study who have non-metastatic breast cancer , underwent F18 FDG PET/CT evaluation. The relationship between maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) metabolic tumor volume (MTV), tumour/liver uptake ratio (TLR) and total lesion glycolysis (TLG) and different prognostic factors were evaluated. Results: There was significant correlation between primary tumor SUVmax & SUVmean and pathological grade & Ki67. Significant correlations between primary tumor MTV and multi-focality & T stage was also detected. Regarding the TLG, it had multiple relationships with different parameters such as focality, histology, grading, T stage and Ki67 as well as Her2ue positivity. Significant correlation between primary tumor TLR and only Ki67 was elicited. The size of primary tumor was highly positive significantly correlated with SUVmax, MTV and TLG. On the other hand, no significant correlation could be elicited between different volumetric parameters of primary breast neoplasm and age of the patient. Conclusion: in early breast cancer we detected significant correlation between F18-FDG derived volumetric parameters and clinico-pathological factors. Therefore they can reflect aggressiveness of the tumor, also may predict prognosis and can greatly help to guide management. SUVmax, SUVmean, and TLG can be integrated with clinic-pathological evaluation for initial risk stratification. We suppose that TLR may be an additional promising tool in evaluating breast cancer

Keywords

Egyptian Journal Nuclear Medicine
Volume 25, Issue 2
December 2022
Pages 30-44

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