ArticleHuman mutation2026
Integrated Radiomics Model Combining Diffusion Kurtosis Imaging and Dynamic Contrast-Enhanced MRI for Predicting TERT Promoter Mutation Status in Gliomas.
Article in Human mutation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
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Abstract
Purpose: The purpose of this study is to investigate the value of a radiomics model based on diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for preoperative prediction of telomerase reverse transcriptase (TERT) promoter mutation status in gliomas. Methods: This retrospective study included 126 patients with pathologically confirmed gliomas who underwent TERT promoter mutation testing between January 2020 and June 2025. All patients underwent preoperative multiparametric MRI including DKI and DCE-MRI sequences. Patients were randomly divided into training ( Results: Significant differences in DKI and DCE-MRI parameters were observed between TERT promoter mutant and wild-type gliomas ( Conclusion: The integrated multiparametric radiomics model combining DKI and DCE-MRI enables noninvasive preoperative prediction of TERT promoter mutation status in gliomas with high accuracy. The combined approach demonstrates superior predictive performance and clinical utility compared to single-modality imaging, providing valuable imaging biomarkers for molecular stratification and personalized treatment planning in glioma patients.
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