医学
动态对比度
对比度(视觉)
乳腺癌
乳房磁振造影
癌症
动态增强MRI
肿瘤科
磁共振成像
医学物理学
放射科
核医学
乳腺摄影术
内科学
人工智能
计算机科学
作者
Yu Ji,Heather M. Whitney,Hui Li,Peifang Liu,Maryellen L. Giger,Xuening Zhang
出处
期刊:Radiology
[Radiological Society of North America]
日期:2023-01-03
卷期号:307 (1)
被引量:12
标识
DOI:10.1148/radiol.220984
摘要
Background Breast cancer tumors can be identified as different luminal molecular subtypes depending on either immunohistochemical (IHC) staining or St Gallen criteria that includes Ki-67. Purpose To characterize molecular subtypes and understand the impact of disagreement among IHC and St Gallen molecular subtype reference standards on artificial intelligence classification of luminal A and luminal B tumors with use of radiomic features extracted from dynamic contrast-enhanced (DCE) MRI scans. Materials and Methods In this retrospective study, 28 radiomic features previously extracted from DCE-MRI scans of breast tumors imaged between February 2015 and October 2017 were examined in the following groups:
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