Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma

Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma

ObjectivesPhosphatase and tensin homolog (PTEN) mutation is an indicator of poor prognosis of low-grade and high-grade glioma. This study built a reliable model from multi-parametric magnetic resonance imaging (MRI) for predicting the PTEN mutation status in patients with glioma.MethodsIn this study...

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Bibliographic Details
Main Authors: Hongyu Chen, Fuhua Lin, Jinming Zhang, Xiaofei Lv, Jian Zhou, Zhi-Cheng Li, Yinsheng Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Oncology
Subjects:
glioma
deep learning
radiomics
magnetic resonance imaging
PTEN
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.734433/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.734433/full

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