Motivation: The diagnostic performance of time-dependent diffusion-weighted imaging in predicting the 1p/19q codeletion status in IDH-mutant gliomas remains unclear. Goal(s): To investigate the clinical value of time-dependent diffusion MRI-based microstructural mapping for noninvasive prediction of 1p/19q codeletion status in IDH-mutant gliomas. Approach: A prospective collection of patients with IDH-mutant brain gliomas was conducted to evaluate the microstructural differences between the 1p/19q codeleted and non-codeleted groups. The diagnostic performance of each feature was assessed using ROC analysis. Results: Microstructural parameters, including D, Vin and Cellularity, are efficient in predicting 1p/19q codeletion status in IDH-mutant gliomas. Impact: Time-dependent diffusion-weighted imaging provides a non-invasive approach to characterize microstructural features, including cell size and density. It shows promise in predicting the 1p/19q codeletion status in IDH-mutant gliomas, potentially aiding clinicians in selecting optimal treatment strategies and conducting prognostic analyses.
Zhang et al. (Tue,) studied this question.
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