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ABSTRACT: Objectives
To measure the metrics of glioma pre-operative MRI reports and build IDH prediction models.Methods
Pre-operative MRI reports of 144 glioma patients in a single institution were collected retrospectively. Words were transformed to lowercase letters. White spaces, punctuations, and stop words were removed. Stemming was performed. A word cloud method applied to processed text matrix visualized language behavior. Spearman's rank correlation assessed the correlation between the subjective descriptions of the enhancement pattern. The T1-contrast images associated with enhancement descriptions were selected. The keywords associated with IDH status were evaluated by χ2 value ranking. Random forest, k-nearest neighbors and Support Vector Machine algorithms were used to tr
SUBMITTER: Cao H
PROVIDER: S-EPMC7879978 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature