Lucrezia Laterza, Luca Boldrini, Huong Elena Tran, Claudio Votta, Luigi Larosa, Laura Maria Minordi, Rossella Maresca, Daniela Pugliese, Maria Assunta Zocco, Maria Elena Ainora, Loris Riccardo Lopetuso, Alfredo Papa, Alessandro Armuzzi, Antonio Gasbarrini, Franco Scaldaferri
BACKGROUND: Predicting clinical outcomes represents a major challenge in Crohn's disease (CD). Radiomics provides a method to extract quantitative features from medical images and may successfully predict clinical course. AIMS: The aim of this pilot study is to evaluate the use of radiomics to predict 10-year surgery for CD patients. METHODS: We selected a cohort of CD patients with CT scan enterographies and a 10-year follow up. The R library Moddicom was used to extract radiomic features from each lesion of CD, segmented in the CT scans...
November 23, 2022: Digestive and Liver Disease