Radiomic signatures based on multiparametric MR images for predicting Ki-67 index expression in medulloblastoma.

ABSTRACT:

Background

Medulloblastoma (MB) is a common central nervous system tumor in children with extensive heterogeneity and different prognoses. This study aimed to classify the Ki-67 index in MB with radiomic characteristics based on multi-parametric magnetic resonance imaging to guide treatment and assess the prognosis of patients.

Methods

Three sequences of T1W, CE-T1W, and T2W were used as test data. Two experienced radiologists manually segmented the tumors according to T2W images from 90 patients. The patients were divided into training and test sets at a ratio of 7:3, and 833 dimensional image features were extracted for each patient. Five models were trained using the feature set selected in three ways. Finally, the area under the curve (AUC) and accuracy (ACC) were used o

SUBMITTER: Zhou L 

PROVIDER: S-EPMC8667089 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature