{"id":43251,"date":"2023-11-20T03:19:25","date_gmt":"2023-11-20T09:19:25","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/qin-breast-pub\/"},"modified":"2024-10-30T20:42:23","modified_gmt":"2024-10-31T01:42:23","slug":"qin-breast-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/qin-breast-pub\/","title":{"rendered":"QIN-BREAST-PUB"},"template":"","class_list":["post-43251","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Li X, Abramson RG, Arlinghaus LR, Kang H, Chakravarthy AB, Abramson VG, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Grau AM, Sanders M, Yankeelov TE.\u00a0 <strong>Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer<\/strong>. Investigative Radiology, 2015 Apr;50(4):195-204. PMCID: <a href=\"https:\/\/doi.org\/10.1097\/RLI.0000000000000100\">PMC4471951<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1097\/RLI.0000000000000100","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/43251","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=43251"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}