Predictive Modeling for Voxel-Based Quantification of Imaging-Based Subtypes of Pancreatic Ductal Adenocarcinoma (PDAC): A Multi-Institutional Study

Predictive Modeling for Voxel-Based Quantification of Imaging-Based Subtypes of Pancreatic Ductal Adenocarcinoma (PDAC): A Multi-Institutional Study

Previously, we characterized qualitative imaging-based subtypes of pancreatic ductal adenocarcinoma (PDAC) on computed tomography (CT) scans. Conspicuous (high delta) PDAC tumors are more likely to have aggressive biology and poorer clinical outcomes compared to inconspicuous (low delta) tumors. Her...

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Bibliographic Details
Main Authors: Mohamed Zaid, Lauren Widmann, Annie Dai, Kevin Sun, Jie Zhang, Jun Zhao, Mark W. Hurd, Gauri R. Varadhachary, Robert A. Wolff, Anirban Maitra, Matthew H. G. Katz, Joseph M. Herman, Huamin Wang, Michael V. Knopp, Terence M. Williams, Priya Bhosale, Eric P. Tamm, Eugene J. Koay
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Cancers
Subjects:
pancreatic cancer
computed tomography
imaging biomarker
radiomics
machine learning
Online Access:https://www.mdpi.com/2072-6694/12/12/3656

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https://www.mdpi.com/2072-6694/12/12/3656

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