Predicting axillary residual disease after neoadjuvant therapy in breast cancer using baseline MRI and ultrasound
Question What baseline imaging-based predictive models can identify patients at risk of persistent nodal disease after neoadjuvant therapy? Findings Baseline US cortical thickness superior to 7 mm, anterior tumor location, and absence of an intratumoral high signal on T2-weighted MRI predict residual axillary disease. Clinical relevance Our predictive model, available online at: litoic.shinyapps.io/LNPred_Apps , including breast cancer subtype, Ki-67 index level, breast cancer location, intratumoral signal intensity on T2WI, and initial lymph node thickness, could guide post-NAT axillary management.
Authors
- Toulsie Ramtohul (ORCID: https://orcid.org/0000-0002-8440-7785)
- Fabien Reyal (ORCID: https://orcid.org/0000-0002-2318-3589)
- Vincent Cockenpot (ORCID: https://orcid.org/0000-0002-7470-4436)
- Youlia Kirova (ORCID: https://orcid.org/0000-0002-1795-7509)
- Jean‐Yves Pierga (ORCID: https://orcid.org/0000-0002-2863-9995)
- Enora Laas (ORCID: https://orcid.org/0000-0003-3875-4011)
- Anne Vincent‐Salomon (ORCID: https://orcid.org/0000-0001-5754-5771)
- Caroline Malhaire (ORCID: https://orcid.org/0000-0002-9235-9816)
- Hervé J. Brisse (ORCID: https://orcid.org/0000-0003-2794-5875)
- Fatine Selhane
- Frédérique Frouin (ORCID: https://orcid.org/0000-0002-7288-1543)
- Emanuela Romano (ORCID: https://orcid.org/0000-0002-1574-5545)
- Ozgun Umay
Institutions
- Inserm (FR)
- Université Paris Sciences et Lettres (FR)
- Université Paris-Saclay (FR)
- Institut Gustave Roussy (FR)
- Institut Curie (FR)
Publication Details
- Journal
- European Radiology
- Published
- 2025-02-08
- DOI
- https://doi.org/10.1007/s00330-025-11408-4
- Citations
- 3
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.81