Comparison of Multiple Radiomics Models for Identifying Histological Grade of Pancreatic Ductal Adenocarcinoma Preoperatively Based on Multiphasic Contrast-Enhanced Computed Tomography: A Two-Center Study in Southwest China

Comparison of Multiple Radiomics Models for Identifying Histological Grade of Pancreatic Ductal Adenocarcinoma Preoperatively Based on Multiphasic Contrast-Enhanced Computed Tomography: A Two-Center Study in Southwest China

Background: We designed and validated the value of multiple radiomics models for diagnosing histological grade of pancreatic ductal adenocarcinoma (PDAC), holding a promise of assisting in precision medicine and providing clinical therapeutic strategies. Methods: 198 PDAC patients receiving surgical...

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Bibliographic Details
Main Authors: Hongfan Liao, Yongmei Li, Yaying Yang, Huan Liu, Jiao Zhang, Hongwei Liang, Gaowu Yan, Yanbing Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Diagnostics
Subjects:
pancreatic ductal adenocarcinoma
histological grade
radiomics
machine learning
prognosis
Online Access:https://www.mdpi.com/2075-4418/12/8/1915

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https://www.mdpi.com/2075-4418/12/8/1915

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