A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy

BACKGROUND: For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complete response (pCR; no invasive or in situ) cannot be assessed non-invasively so all patients undergo surgery. The aim of our study was to develop and validate a radiomics classifier that classifies brea...

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Bibliografiska uppgifter
I publikationen:Breast Cancer Res
Huvudupphovsmän: Sutton, Elizabeth J., Onishi, Natsuko, Fehr, Duc A., Dashevsky, Brittany Z., Sadinski, Meredith, Pinker, Katja, Martinez, Danny F., Brogi, Edi, Braunstein, Lior, Razavi, Pedram, El-Tamer, Mahmoud, Sacchini, Virgilio, Deasy, Joseph O., Morris, Elizabeth A., Veeraraghavan, Harini
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2020
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7254668/
https://ncbi.nlm.nih.gov/pubmed/32466777
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13058-020-01291-w
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