Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas

Compared with the conventional MRI Radiomics and Clinical Models, the Multivariable Combined Model, mainly based on DCE quantitative parameters and multi-modality Radiomics features, is the most promising and deserves attention in the current study.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-03-11
DOI
https://doi.org/10.3389/fonc.2025.1530144
Citations
5
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
8.13
Controls
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article

Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas

Zehong Cao, Sixuan Chen, Zhengyang Zhu, Huiquan Yang et al.
5 citations
Frontiers in Oncology
Glioma Diagnosis and Treatment
8.13
article

Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas

Zehong Cao, Sixuan Chen, Zhengyang Zhu, Huiquan Yang, Meiping Ye, Tianyang Sun, Chuanshuai Tian, Ming Li, Xin Li, Bing Zhang, Qian Chen, Feng Jian Shi, Wei Luan, Jianan Zhou, Xin Zhang
article en
5 citations

Abstract

Compared with the conventional MRI Radiomics and Clinical Models, the Multivariable Combined Model, mainly based on DCE quantitative parameters and multi-modality Radiomics features, is the most promising and deserves attention in the current study.

Frontiers in OncologyVol. 15
Nanjing Drum Tower Hospital (CN), United Imaging Healthcare (China) (CN), Nanjing Medical University (CN), Nanjing University (CN)
Openalex Percentile: Top 3%
Glioma Diagnosis and Treatment
8.13
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Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas — Zehong Cao, Sixuan Chen, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS