Predicting the Local Response of Metastatic Brain Tumor to Gamma Knife Radiosurgery by Radiomics With a Machine Learning Method

Predicting the Local Response of Metastatic Brain Tumor to Gamma Knife Radiosurgery by Radiomics With a Machine Learning Method

PurposeThe current study proposed a model to predict the response of brain metastases (BMs) treated by Gamma knife radiosurgery (GKRS) using a machine learning (ML) method with radiomics features. The model can be used as a decision tool by clinicians for the most desirable treatment outcome.Methods...

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Bibliographic Details
Main Authors: Daisuke Kawahara, Xueyan Tang, Chung K. Lee, Yasushi Nagata, Yoichi Watanabe
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Oncology
Subjects:
radiomics
machine learning
brain metastases
gamma knife
radiosurgery
local control
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.569461/full

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https://www.frontiersin.org/articles/10.3389/fonc.2020.569461/full

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