Abstract
Modern treatment advances gained significant improvement on local control and survival for uterine cervical cancer. Nevertheless the lack of a predictive assay enabling upfront identification of patients more likely to be cured is still a challenge. Upfront identification of chances of cure could aid treatment selection and intensification as the set-up of personalized follow-up schedule after treatment. Purpose of our analysis was to correlate FDG-PET metabolic activity data with clinical outcome to treatment, for a single institution population of patients treated with radiotherapy (RT) for cervix tumor.
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