Radiogenomics analysis reveals the associations of dynamic contrast-enhanced–MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer

BackgroundTo investigate reliable associations between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) features and gene expression characteristics in breast cancer (BC) and to develop and validate classifiers for predicting PAM50 subtypes and prognosis from DCE-MRI non-invasively.Met...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Wenlong Ming, Yanhui Zhu, Yunfei Bai, Wanjun Gu, Fuyu Li, Zixi Hu, Tiansong Xia, Zuolei Dai, Xiafei Yu, Huamei Li, Yu Gu, Shaoxun Yuan, Rongxin Zhang, Haitao Li, Wenyong Zhu, Jianing Ding, Xiao Sun, Yun Liu, Hongde Liu, Xiaoan Liu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Frontiers Media S.A. 2022-07-01
سلاسل:	Frontiers in Oncology
الموضوعات:	breast cancer radiogenomics radiomics PAM50 subtypes DCE-MRI machine learning
الوصول للمادة أونلاين:	https://www.frontiersin.org/articles/10.3389/fonc.2022.943326/full
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!