Clinical calculator redefines prognosis for high-risk early-stage ovarian cancers and potential to guide treatment in the adjuvant setting.

导出原文传递

翻译打印收藏纠错

第一作者： Anthony,Bui

第一单位： The University of North Carolina, Chapel Hill, NC, USA.

作者： Anthony,Bui ^[1] ; Paola A,Gehrig ^[2] ; Sharad,Ghamande ^[3] ; Bunja J,Rungruang ^[3] ; John K,Chan ^[4] ; David P,Mysona ^[5]

作者单位： The University of North Carolina, Chapel Hill, NC, USA. ^[1] The University of North Carolina, Chapel Hill, NC, USA; University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA. ^[2] Medical College of Georgia, Augusta, GA, USA. ^[3] California Pacific & Palo Alto Medical Foundation/Sutter Health Research Institute, San Francisco, CA, USA; Palo Alto Medical Foundation Research Institute, Palo Alto, CA, USA. ^[4] The University of North Carolina, Chapel Hill, NC, USA; Medical College of Georgia, Augusta, GA, USA. Electronic address: David.Mysona@augusta.edu. ^[5]

关键词 Chemotherapy Machine learning Ovarian cancer Personalized medicine Risk score Treatment

主题词人类(Humans);女(雌)性(Female);卵巢肿瘤(Ovarian Neoplasms);肿瘤分期(Neoplasm Staging);化学疗法, 辅助(Chemotherapy, Adjuvant);预后(Prognosis);回顾性研究(Retrospective Studies)

DOI 10.1016/j.ygyno.2022.08.012

PMID 36055814

发布时间 2024-11-04

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交