May 15, 2024Journal of Cancer Research and Clinical OncologyOpen Access

A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions

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High diagnostic accuracy for BI-RADS 4 breast lesions is achieved using MRI radiomics, substantially improving clinical management while reducing unnecessary biopsies.
A summary receiver operating characteristic area of 0.90 confirms high diagnostic performance, accompanied by a pooled diagnostic odds ratio of 29.0 across studies.
Meta-analysis of 11 eligible studies identifies feature selection algorithm variations as key sources of heterogeneity, supporting broader diagnostic implementation.

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Implication

Meta-analysis demonstrates high diagnostic efficacy of MRI radiomics in BI-RADS 4 breast lesions, suggesting improved differentiation of benign and malignant tumors.

Cite This Study

Lin et al. (2024) studied this question.

synapsesocial.com/papers/68e69ff8b6db643587623a5c https://doi.org/10.1007/s00432-024-05697-3

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Implication

Meta-analysis demonstrates high diagnostic efficacy of MRI radiomics in BI-RADS 4 breast lesions, suggesting improved differentiation of benign and malignant tumors.

A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions

Key Points

Discussion

Implication

Cite This Study

A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions

Key Points

Discussion

Implication

Cite This Study

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