%0 Figure %A Cozzi, Luca %A Comito, Tiziana %A Fogliata, Antonella %A Franzese, Ciro %A Franceschini, Davide %A Bonifacio, Cristiana %A Tozzi, Angelo %A Di Brina, Lucia %A Clerici, Elena %A Tomatis, Stefano %A Reggiori, Giacomo %A Lobefalo, Francesca %A Stravato, Antonella %A Mancosu, Pietro %A Zerbi, Alessandro %A Sollini, Martina %A Kirienko, Margarita %A Chiti, Arturo %A Scorsetti, Marta %D 2019 %T Computed tomography based radiomic signature as predictive of survival and local control after stereotactic body radiation therapy in pancreatic carcinoma - Fig 2 %U https://plos.figshare.com/articles/figure/Computed_tomography_based_radiomic_signature_as_predictive_of_survival_and_local_control_after_stereotactic_body_radiation_therapy_in_pancreatic_carcinoma_-_Fig_2/7606076 %R 10.1371/journal.pone.0210758.g002 %2 https://ndownloader.figshare.com/files/14121125 %K radiomic signature %K survival %K concordance index 0.73 %K OS %K stereotactic body radiation therapy %K concordance index 0.69 %K SBRT %K training %K Radiomics texture features %K CT %K Cox regression models %K tomography %K cohort %K LC %K analysis %K pancreatic carcinoma Purpose %K validation %X

a) and b): Overall survival (OS) and Local Control (LC) curves for the training (solid red line) and validation (blue dashed line) cohorts of patients without any stratification; c) and d): Overall survival (OS) curves for the multivariate models A and B respectively. The sub-panels represent the ROC curves built out of the models. e) and f): Local Control (LC) curves as for the above. In the survival curves, solid lines correspond to the low risk group of patients; blue lines to the validation (red for the training) set. In the ROC curves, solid line is for the training, dashed for the validation.

%I PLOS ONE