Pancreatic cancer detection and characterization-state of the art cross-sectional imaging and imaging data analysis.
Pancreatic cancer
computed tomography (CT)
magnetic resonance imaging (MRI)
Journal
Translational gastroenterology and hepatology
ISSN: 2415-1289
Titre abrégé: Transl Gastroenterol Hepatol
Pays: China
ID NLM: 101683450
Informations de publication
Date de publication:
2019
2019
Historique:
received:
03
05
2019
accepted:
07
05
2019
entrez:
25
6
2019
pubmed:
25
6
2019
medline:
25
6
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31231702
doi: 10.21037/tgh.2019.05.04
pii: tgh-04-2019.05.04
pmc: PMC6556687
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
35Déclaration de conflit d'intérêts
Conflicts of Interest: The authors have no conflicts of interest to declare.
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