Journal Article

Computed tomography based radiomic signature as predictive of survival and local control after stereotactic body radiation therapy in pancreatic carcinoma

Tomatis, Stefano, Reggiori, Giacomo, Chiti, Arturo, Lobefalo, Francesca, Bonifacio, Cristiana, Tozzi, Angelo, Franzese, Ciro, Mancosu, Pietro, Cozzi, Luca, Zerbi, Alessandro, Fogliata, Antonella, Stravato, Antonella, Sollini, Martina, Comito, Tiziana, Franceschini, Davide, Clerici, Elena, Di Brina, Lucia, Kirienko, Margarita, Scorsetti, Marta

2019

Overview

To appraise the ability of a radiomics signature to predict clinical outcome after stereotactic body radiation therapy (SBRT) for pancreas carcinoma. A cohort of 100 patients was included in this retrospective, single institution analysis. Radiomics texture features were extracted from computed tomography (CT) images obtained for the clinical target volume. The cohort of patients was randomly divided into two separate groups for the training (60 patients) and validation (40 patients). Cox regression models were built to predict overall survival and local control. The significant predictors at univariate analysis were included in a multivariate model. The quality of the models was appraised by means of area under the curve and concordance index. A clinical-radiomic signature associated with Overall Survival (OS) was found significant in both training and validation sets (p = 0.01 and 0.05 and concordance index 0.73 and 0.75 respectively). Similarly, a signature was found for Local Control (LC) with p = 0.007 and 0.004 and concordance index 0.69 and 0.75. In the low risk group, the median OS and LC in the validation group were 14.4 and 28.6 months while in the high-risk group were 9.0 and 17.5 months respectively. A CT based radiomic signature was identified which correlate with OS and LC after SBRT and allowed to identify low and high-risk groups of patients.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Adult / Aged / Aged, 80 and over / Biology and Life Sciences / Cancer patients / Cancer therapies / Care and treatment / CAT scans / Chemotherapy / Cohort Studies / Computation / Computed tomography / Diagnosis / Feature extraction / Female / Health aspects / Humans / Male / Medical imaging / Medical prognosis / Medicine and Health Sciences / Middle Aged / Models, Biological / Multivariate Analysis / Nuclear medicine / Pancreas / Pancreatic cancer / Pancreatic carcinoma / Pancreatic Neoplasms / Pancreatic Neoplasms - diagnostic imaging / Pancreatic Neoplasms - mortality / Pancreatic Neoplasms - radiotherapy / Patients / Physical Sciences / Predictive control / Prognosis / Progression-Free Survival / Proportional Hazards Models / Quantitative analysis / Radiation / Radiation therapy / Radiomics / Radiosurgery / Radiotherapy / Regression analysis / Regression models / Research and Analysis Methods / Retrospective Studies / Risk / Risk factors / Risk groups / Surgery / Survival / Survival Analysis / Tomography, X-Ray Computed - methods / Training / Tumors