Radiogenomics for predicting microsatellite instability status and PD-L1 expression with machine learning in endometrial cancers: A multicenter study

Radiogenomics for predicting microsatellite instability status and PD-L1 expression with machine learning in endometrial cancers: A multicenter study

Purpose: To evaluate the effectiveness of machine learning model based on magnetic resonance imaging (MRI) in identifying microsatellite instability (MSI) status and PD-L1 expression in endometrial cancer (EC). Methods: This retrospective study included 82 EC patients from 2 independent centers. Rad...

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Bibliographic Details
Main Authors: Qianling Li, Ya'nan Huang, Yang Xia, Meiping Li, Wei Tang, Minming Zhang, Zhenhua Zhao
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Heliyon
Subjects:
Endometrial cancer
Microsatellite instability
Mismatch repair deficiency
PD-L1
Magnetic resonance imaging
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023103744

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http://www.sciencedirect.com/science/article/pii/S2405844023103744

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