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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Hlavní autoři: Hongfan Liao, Yongmei Li, Yaying Yang, Huan Liu, Jiao Zhang, Hongwei Liang, Gaowu Yan, Yanbing Liu
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-08-01
Edice:Diagnostics
Témata:
pancreatic ductal adenocarcinoma
histological grade
radiomics
machine learning
prognosis
On-line přístup:https://www.mdpi.com/2075-4418/12/8/1915

Internet

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

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