Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on 18F-FDG PET/CT radiomics

Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on 18F-FDG PET/CT radiomics

Abstract Purpose To develop and validate a machine learning model based on radiomic features derived from 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) images to preoperatively predict the pathological grade in patients with pancreatic ductal adenocarcino...

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Bibliographic Details
Main Authors: Haiqun Xing, Zhixin Hao, Wenjia Zhu, Dehui Sun, Jie Ding, Hui Zhang, Yu Liu, Li Huo
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:EJNMMI Research
Subjects:
18F-FDG PET/CT
Pancreatic cancer
Radiomics
Machine learning
XGBoost
Online Access:https://doi.org/10.1186/s13550-021-00760-3

Internet

https://doi.org/10.1186/s13550-021-00760-3

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