Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach

A nomogram model integrating MRI radiomics features from intratumoral and peritumoral regions and clinical factors effectively predicts recurrence in EC patients.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-05-06
DOI
https://doi.org/10.3389/fonc.2025.1569729
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach

Xiuting Chen, Zhizhen Gao, Junting Wei, Jie Li et al.
1 citations
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
1.36
article

Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach

Xiuting Chen, Zhizhen Gao, Junting Wei, Jie Li, Jiali Xu, Di Ma, Yingming Zhao
article en
1 citations

Abstract

A nomogram model integrating MRI radiomics features from intratumoral and peritumoral regions and clinical factors effectively predicts recurrence in EC patients.

Frontiers in OncologyVol. 15
University of Science and Technology of China (CN), Bengbu Medical College (CN), First Affiliated Hospital of Bengbu Medical College (CN)
Openalex Percentile: Top 21%
Radiomics and Machine Learning in Medical Imaging
1.36
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