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ABSTRACT: Purpose
This study aims to explore the feasibility of MRI-based habitat and peritumoral radiomics for predicting the proliferative activity of stromal cells in giant cell tumor of bone (GCTB).Material and methods
A retrospective study was performed on 133 patients (102 in training cohort and 31 in validation cohort) diagnosed with GCTB from four centers. The tumor was meticulously segmented into three distinct habitat subregions using K-means clustering, incorporating a 1-pixel peritumoral expansion to capture the microenvironments surrounding the tumor. After feature extraction and selection, habitat, intratumoral and peritumoral models integrating three different machine learning classifiers were constructed respectively to identify GCTB patients with high and low
SUBMITTER: Xia J
PROVIDER: S-EPMC12754386 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature