Preliminary investigation on predicting postoperative glioma recurrences based on a multiparametric radiomics model

The MRI-based multiparametric radiomics method provided a non-invasive, stable, and relatively accurate method for the early prediction of postoperative recurrences, which has guiding importance for individualized clinical treatment.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-06-19
DOI
https://doi.org/10.3389/fonc.2025.1592881
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Preliminary investigation on predicting postoperative glioma recurrences based on a multiparametric radiomics model

Fang-Xiong Fu, Guo Li, Wangsheng Chen, Lan Hong
1 citations
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
1.36
article

Preliminary investigation on predicting postoperative glioma recurrences based on a multiparametric radiomics model

Fang-Xiong Fu, Guo Li, Wangsheng Chen, Lan Hong
article en
1 citations

Abstract

The MRI-based multiparametric radiomics method provided a non-invasive, stable, and relatively accurate method for the early prediction of postoperative recurrences, which has guiding importance for individualized clinical treatment.

Frontiers in OncologyVol. 15
Longgang Central Hospital (CN), Hainan General Hospital (CN), Hainan Medical University (CN)
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
1.36
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Preliminary investigation on predicting postoperative glioma recurrences based on a multiparametric radiomics model — Fang-Xiong Fu, Guo Li, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS