Investigator
Agostino Gemelli University Polyclinic
An exploratory assessment of early and delta PET radiomic features for outcome prediction in locally advanced cervical cancer
This study investigated whether radiomic features extracted from [ We retrospectively included LACC patients referred to our Institution from 2010 to 2016. [ 95 patients were included. With a median follow-up of 76.0 months (95% CI: 59.5-82.1), 31.6% of patients had recurrence/progression and 20.0% died of disease. None of the models could predict DFS (C-indices ≤ 0.72). Model performances for OS yielded slightly better results, with mean C-indices of 0.75 for both the radiomic and combined model based on early features, 0.79 and 0.78 for the radiomic and combined model derived from delta features, and 0.76 for the clinical models. [
Scopus: 55071938900
