Application of radiomics feature captured from MRI for prediction of recurrence for glioma patients
Abstract
Purpose: This study aimed to develop and validate a recurrence prediction of glioma patients through a radiomics feature training and validation model. Patients and methods: In this study, the prediction model was developed in a training cohort that consisted of 88 patients from January 2014 to July 2017 with pathologically confirmed gliomas. Their pre-radiotherapy and recurrence brain magnetic resonance imaging (MRI) images were collected, and...
Paper Details
Title
Application of radiomics feature captured from MRI for prediction of recurrence for glioma patients
Published Date
Jan 1, 2022
Journal
Volume
13
Issue
3
Pages
965 - 974
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