High-risk breast lesions: a combined intratumoral and peritumoral radiomics nomogram model to predict pathologic upgrade and reduce unnecessary surgical excision

The nomogram encapsulating the combined intratumoral and peritumoral radiomics demonstrated superior diagnostic efficacy in postoperative pathological upgrades of high-risk breast lesions, enabling clinicians to make more informed decisions about interventions and follow-up strategies.

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Publication Details

Journal
Frontiers in Oncology
Published
2024-12-18
DOI
https://doi.org/10.3389/fonc.2024.1479565
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21
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article

High-risk breast lesions: a combined intratumoral and peritumoral radiomics nomogram model to predict pathologic upgrade and reduce unnecessary surgical excision

Yuting Yang, Rushan Ouyang, Xiaohui Lin, Jie Ma et al.
3 citations
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
1.21
article

High-risk breast lesions: a combined intratumoral and peritumoral radiomics nomogram model to predict pathologic upgrade and reduce unnecessary surgical excision

Yuting Yang, Rushan Ouyang, Xiaohui Lin, Jie Ma, Tingting Liao, Yaohong Deng
article en
3 citations

Abstract

The nomogram encapsulating the combined intratumoral and peritumoral radiomics demonstrated superior diagnostic efficacy in postoperative pathological upgrades of high-risk breast lesions, enabling clinicians to make more informed decisions about interventions and follow-up strategies.

Frontiers in OncologyVol. 14
Sun Yat-sen University (CN), Jinan University (CN), Eighth Affiliated Hospital of Sun Yat-sen University
Good health and well-being
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
1.21
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