{"id":45619,"date":"2023-11-20T05:24:22","date_gmt":"2023-11-20T11:24:22","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/tcga-breast-radiogenomics-pub-3\/"},"modified":"2023-11-20T05:24:22","modified_gmt":"2023-11-20T11:24:22","slug":"tcga-breast-radiogenomics-pub-3","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/tcga-breast-radiogenomics-pub-3\/","title":{"rendered":"TCGA-BREAST-RADIOGENOMICS-PUB-3"},"template":"","class_list":["post-45619","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Li H, Zhu Y, Burnside ES, Drukker K, Hoadley KA, Fan C, Conzen SD, Whitman GJ, Sutton EJ, Net JM, Ganott M, Huang E, Morris EA, Perou CM, Ji Y, Giger ML. (2016) <strong>MR Imaging radiomics signatures for predicting the risk of breast cancer recurrence as given by research versions of gene assays of MammaPrint, Oncotype DX, and PAM50.\u00a0<\/strong> Radiology 281(2):382-391. doi: <a href=\"http:\/\/dx.doi.org\/10.1148\/radiol.2016152110\">10.1148\/radiol.2016152110<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1148\/radiol.2016152110","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/45619","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=45619"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}