Back Cover: Development of a Class Prediction Model to Discriminate Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor by MALDI Mass Spectrometry Imaging. Issue 1 (7th February 2019)

• Record Type: Journal Article
• Authors: Casadonte, Rita; Kriegsmann, Mark; Perren, Aurel; Baretton, Gustavo; Deininger, Sören‐Oliver; Kriegsmann, Katharina; Welsch, Thilo; Pilarsky, Christian; Kriegsmann, Jörg
• Other Names: Longuespée Rémi guestEditor.; Casadonte Rita guestEditor.; Schwamborn Kristina guestEditor.; Kriegsmann Mark guestEditor.
• Is Part Of: Proteomics. Volume 13:Issue 1(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-02-07
• Subjects: Proteomics -- Periodicals; 572.605
• DOI: 10.1002/prca.201970013
• Languages: English
• ISSNs: 1862-8346

Abstract

Abstract : MALDI mass spectrometry imaging (MSI) classification of pancreatic adenocarcinoma (pDAC) and pancreatic neuroendocrine tumor (pNET) tissue microarrays. The classification is visualized in a colorencoded representation with green assigned to pDAC and red to pNET. Enlarge view of two representative tissue cores shows H&E staining and MALDI MSI classification overlays demonstrating high agreement with the tumor region annotated in pDAC (green line) and pNET (red line). This is reported by Rita Casadonte, Mark Kriegsmann, Aurel Perren, Gustavo Baretton, Sören‐Oliver Deininger, Katharina Kriegsmann, Thilo Welsch, Christian Pilarsky, Jörg Kriegsmann in article1800046 .