Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study

An MRI-based radiomics model built with features extracted from the intra-tumoral region combined with the peri-tumoral 2 mm showed the best potential to reduce false-positive diagnoses and may avoid unnecessary biopsies with a low underestimate risk.

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Publication Details

Journal
Radiation Oncology
Published
2025-02-28
DOI
https://doi.org/10.1186/s13014-025-02605-y
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study

Yawei Shi, Zhenhai Cai, Yalan Hu, Yangling Hu et al.
Radiation Oncology
Radiomics and Machine Learning in Medical Imaging
article

Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study

Yawei Shi, Zhenhai Cai, Yalan Hu, Yangling Hu, NiJiati AiErken, Nan Shao, Ying Lin, Mengmeng Zhang, Xiaoling Zhang, Yueqi Liu
article en

Abstract

An MRI-based radiomics model built with features extracted from the intra-tumoral region combined with the peri-tumoral 2 mm showed the best potential to reduce false-positive diagnoses and may avoid unnecessary biopsies with a low underestimate risk.

Radiation OncologyVol. 20(1)
Sun Yat-sen University (CN), The Seventh Affiliated Hospital of Sun Yat-sen University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Guangzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 94%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study — Yawei Shi, Zhenhai Cai, et al. · Radiation Oncology (2025) | TGRS Research Map | TGRS