Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice

IL7R expression is a vital prognostic marker in high-grade gliomas. The radiomics-based LR models demonstrate strong predictive capabilities for patient outcomes. Future investigations should aim to incorporate these insights into clinical practice to enhance personalized treatment approaches for patients with high-grade glioma.