From Imaging to Prognosis: Crafting Clinical Nomograms Based on a Multi-Sequence MRI Radiomics Model for Non- Invasive Glioma Survival Prediction
Xiao Fan,
Hongjian Zhang,
Bin Huang
et al.
Abstract:Background
High incidence and malignancy call for non-invasive pre-surgery survival prediction in gliomas. Radiomics serves as a mature solution bridging this gap.
Methods
We retrospectively collected preoperative MRI from 353 patients with diffuse gliomas, comprising 108 from our institution (Center1) and 137 from The Cancer Genome Atlas dataset (TCGA) as the training cohort, with an external 108 cases from Center1 serving as an independent test cohort. Radiomic features were automatically extracted from MR… Show more
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