Multiparametric MRI assessment of primary tumours for predicting axillary tumour burden in women with invasive breast cancer

Multiparametric MRI features of a primary tumour are useful for predicting axillary nodal burden in patients with invasive breast cancer.

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Publication Details

Journal
British Journal of Radiology
Published
2024-11-28
DOI
https://doi.org/10.1093/bjr/tqae243
Citations
1
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.29

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article

Multiparametric MRI assessment of primary tumours for predicting axillary tumour burden in women with invasive breast cancer

Taewoo Kang, Ki Seok Choo, Seong Hwan Bae, Kye Young Lee et al.
1 citations
British Journal of Radiology
Breast Cancer Treatment Studies
0.29
article

Multiparametric MRI assessment of primary tumours for predicting axillary tumour burden in women with invasive breast cancer

Taewoo Kang, Ki Seok Choo, Seong Hwan Bae, Kye Young Lee, Heeseung Park, Jin Joo Kim, Jin You Kim, Kyung Jin Nam
article en
1 citations

Abstract

Multiparametric MRI features of a primary tumour are useful for predicting axillary nodal burden in patients with invasive breast cancer.

British Journal of RadiologyVol. 98(1167)
Pusan National University Hospital (KR), Pusan National University Yangsan Hospital (KR)
Pusan National University, Pusan National University Hospital
Good health and well-being
Openalex Percentile: Top 37%
Breast Cancer Treatment Studies
0.29
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