A risk prediction stratification for non-mass breast lesions, combining clinical characteristics and imaging features on ultrasound, mammography, and MRI

The creation of a risk-predictive BI-RADS stratification, specifically designed for non-mass breast lesions and integrating clinical and imaging data from multiple modalities, significantly enhances the precision of diagnostic categorization for these lesions.

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Publication Details

Journal
Frontiers in Oncology
Published
2024-10-17
DOI
https://doi.org/10.3389/fonc.2024.1337265
Citations
1
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.40
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article

A risk prediction stratification for non-mass breast lesions, combining clinical characteristics and imaging features on ultrasound, mammography, and MRI

Yamie Xie, Xiaoxiao Zhang
1 citations
Frontiers in Oncology
MRI in cancer diagnosis
0.40
article

A risk prediction stratification for non-mass breast lesions, combining clinical characteristics and imaging features on ultrasound, mammography, and MRI

Yamie Xie, Xiaoxiao Zhang
article en
1 citations

Abstract

The creation of a risk-predictive BI-RADS stratification, specifically designed for non-mass breast lesions and integrating clinical and imaging data from multiple modalities, significantly enhances the precision of diagnostic categorization for these lesions.

Frontiers in OncologyVol. 14
Fujian Medical University (CN), Shanghai Jiao Tong University (CN), Ruijin Hospital (CN), Second Affiliated Hospital of Fujian Medical University (CN)
Openalex Percentile: Top 34%
MRI in cancer diagnosis
0.40
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