Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

Background: Prediction of radiotherapeutic response before radiotherapy could help determine individual treatment strategies for patients with acromegaly.Objective: To develop and validate a machine-learning-based multiparametric MRI radiomics model to non-invasively predict radiotherapeutic respons...

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Bibliographic Details
Main Authors: Yanghua Fan, Shenzhong Jiang, Min Hua, Shanshan Feng, Ming Feng, Renzhi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Endocrinology
Subjects:
acromegaly
radiomics
radiotherapeutic response
magnetic resonance imaging
receiver operating characteristics
Online Access:https://www.frontiersin.org/article/10.3389/fendo.2019.00588/full

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https://www.frontiersin.org/article/10.3389/fendo.2019.00588/full

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