{"id":42603,"date":"2023-11-20T02:40:02","date_gmt":"2023-11-20T08:40:02","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/ispy2-pub\/"},"modified":"2023-11-20T02:40:02","modified_gmt":"2023-11-20T08:40:02","slug":"ispy2-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/ispy2-pub\/","title":{"rendered":"ISPY2-PUB"},"template":"","class_list":["post-42603","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span><span>Li, W., Newitt, D. C., Gibbs, J., Wilmes, L. J., Jones, E. F., Arasu, V. A., Strand, F., Onishi, N., Nguyen, A. A.-T., Kornak, J., Joe, B. N., Price, E. R., Ojeda-Fournier, H., Eghtedari, M., Zamora, K. W., Woodard, S. A., Umphrey, H., Bernreuter, W., Nelson, M., \u2026 Hylton, N. M. (2020). <strong>Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL<\/strong>. In npj Breast Cancer (Vol. 6, Issue 1). Springer Science and Business Media LLC.<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41523-020-00203-7\">https:\/\/doi.org\/10.1038\/s41523-020-00203-7<\/a><\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1038\/s41523-020-00203-7","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/42603","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_citation"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=42603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}