@article{TGH5070,
author = {Georgios Kaissis and Rickmer Braren},
title = {Pancreatic cancer detection and characterization—state of the art cross-sectional imaging and imaging data analysis},
journal = {Translational Gastroenterology and Hepatology},
volume = {4},
number = {0},
year = {2019},
keywords = {},
abstract = {Pancreatic ductal adenocarcinoma (PDAC) represents a deadly disease, prognosticated to become the 2nd most common cause of cancer related death in the western world by 2030. State of the art radiologic high-resolution cross-sectional imaging by computed tomography (CT) and magnetic resonance imaging (MRI) represent advanced techniques for early lesion detection, pre-therapeutic patient staging and therapy response monitoring. In light of molecular taxonomies currently under development, the implementation of advanced imaging data post-processing pipelines and the integration of imaging and clinical data for the development of risk assessment and clinical decision support tools are required. This review will present the current state of cross-sectional radiologic imaging and image post-processing related to PDAC.},
issn = {2415-1289}, url = {https://tgh.amegroups.org/article/view/5070}
}