Prediction of germline BRCA mutation using clinicopathologic, MRI semantic, and radiomics features in high-risk breast cancer patients: a multicenter study

Yoon Sang Cho, Eunje Oh, Yoo Jin Han, Kyu Ran Cho, Kyong Hwa Park, Sung Eun Song

Open source

DOI
10.3389/fradi.2026.1858292
Published
2026-06-19
Container
Frontiers in Radiology
Publisher
Frontiers Media SA
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fradi.2026.1858292,
  title = {Prediction of germline BRCA mutation using clinicopathologic, MRI semantic, and radiomics features in high-risk breast cancer patients: a multicenter study},
  author = {Yoon Sang Cho and Eunje Oh and Yoo Jin Han and Kyu Ran Cho and Kyong Hwa Park and Sung Eun Song},
  year = {2026},
  journal = {Frontiers in Radiology},
  doi = {10.3389/fradi.2026.1858292},
  url = {https://doi.org/10.3389/fradi.2026.1858292}
}

RIS

TY  - JOUR
TI  - Prediction of germline BRCA mutation using clinicopathologic, MRI semantic, and radiomics features in high-risk breast cancer patients: a multicenter study
AU  - Yoon Sang Cho
AU  - Eunje Oh
AU  - Yoo Jin Han
AU  - Kyu Ran Cho
AU  - Kyong Hwa Park
AU  - Sung Eun Song
PY  - 2026
JO  - Frontiers in Radiology
DO  - 10.3389/fradi.2026.1858292
UR  - https://doi.org/10.3389/fradi.2026.1858292
ER  - 

APA

Cho, Y. S., Oh, E., Han, Y. J., Cho, K. R., Park, K. H., & Song, S. E. (2026). Prediction of germline BRCA mutation using clinicopathologic, MRI semantic, and radiomics features in high-risk breast cancer patients: a multicenter study. Frontiers in Radiology. https://doi.org/10.3389/fradi.2026.1858292

Source records