Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters

Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters

Rationale: Pancreatic ductal adenocarcinoma (PDAC) remains a tumor entity of exceptionally poor prognosis, and several biomarkers are under current investigation for the prediction of patient prognosis. Many studies focus on promoting newly developed imaging biomarkers without a rigorous comparison...

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Bibliographic Details
Main Authors: Georgios A. Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Fabian K. Lohöfer, Felix N. Harder, Anna Melissa Schlitter, Alexander Muckenhuber, Katja Steiger, Rebekka Schirren, Helmut Friess, Roland Schmid, Wilko Weichert, Marcus R. Makowski, Rickmer F. Braren
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Journal of Clinical Medicine
Subjects:
pancreatic ductal adenocarcinoma
survival analysis
multiparametric modelling
genetics
molecular phenotyping
image-derived features
Online Access:https://www.mdpi.com/2077-0383/9/5/1250

Internet

https://www.mdpi.com/2077-0383/9/5/1250

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