Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma
Abstract In this work, we assess the reproducibility and prognostic value of CT-derived radiomic features for resectable pancreatic ductal adenocarcinoma (PDAC). Two radiologists contoured tumour regions on pre-operative CT of two cohorts from two institutions undergoing curative-intent surgical res...
Saved in:
Main Authors: | Farzad Khalvati, Yucheng Zhang, Sameer Baig, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2019
|
Subjects: | |
Online Access: | https://doaj.org/article/03bd79d212814901adf8f2deb76f18c1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images
by: Yucheng Zhang, et al.
Published: (2021) -
CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma
by: Yinghao Meng, et al.
Published: (2021) -
Preoperative recurrence prediction in pancreatic ductal adenocarcinoma after radical resection using radiomics of diagnostic computed tomography
by: Xiawei Li, et al.
Published: (2022) -
Resectable and Borderline Resectable Pancreatic Ductal Adenocarcinoma: Role of the Radiologist and Oncologist in the Era of Precision Medicine
by: Federica Vernuccio, et al.
Published: (2021) -
Dynamic perfusion CT – A promising tool to diagnose pancreatic ductal adenocarcinoma
by: Zaborienė Inga, et al.
Published: (2021)