Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics

Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics

IntroductionThere is a cumulative risk of 20–40% of developing brain metastases (BM) in solid cancers. Stereotactic radiotherapy (SRT) enables the application of high focal doses of radiation to a volume and is often used for BM treatment. However, SRT can cause adverse radiation effects (ARE), such...

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Bibliographic Details
Main Authors: Simon A. Keek, Manon Beuque, Sergey Primakov, Henry C. Woodruff, Avishek Chatterjee, Janita E. van Timmeren, Martin Vallières, Lizza E. L. Hendriks, Johannes Kraft, Nicolaus Andratschke, Steve E. Braunstein, Olivier Morin, Philippe Lambin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
brain metastases (BMs)
radiation necrosis (RN)
deep learning - artificial neural network
radiomics
MRI
adverse radiation effects
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.920393/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.920393/full

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