[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation - Ferreira, Marta; Lovinfosse, Pierre; Hermesse, Johanne; Decuypere, Marjolein; Rousseau, Caroline; Lucia, François; Schick, Ulrike; Reinhold, Caroline; Robin, Philippe; Hatt, Mathieu; Visvikis, Dimitris; Bernard, Claire; et al. (European journal of nuclear medicine and molecular imaging, 2021)
Keywords: [18F]FDG PET/CT; Adaptive algorithms; Advanced Image Analyses (Radiomics and Artificial Intelligence); Bayes Theorem; Bayesian analysis; Cancer; Cardiology; Cervical cancer; Cervix; Disease-Free Survival; Feature extraction; Female; Fluorine isotopes; Fluorodeoxyglucose F18; Glucose; Human health sciences; Humans; Imaging; Learning algorithms; Life Sciences; Liver; Machine learning; Mathematical models; Medicine; Medicine & Public Health; Neoplasm Recurrence, Local; Nuclear Medicine; Oncology; Original; Original Article; Orthopedics; Patients; Performance prediction; Positron emission tomography; Positron Emission Tomography Computed Tomography; Radiologie, médecine & imagerie nucléaire; Radiology; Radiology, nuclear medicine & imaging; Radiomics; Radiopharmaceuticals; Reproducibility of Results; Retrospective Studies; Scanners; Sciences de la santé humaine; Statistical models; Tumors; Uterine Cervical Neoplasms - diagnostic imaging; F]FDG PET/CT; [; Cervical cancer; Disease-free survival; Machine learning; Radiomics; [18F]FDG PET/CT