Open AccessPreoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging
Author(s) -
Yuying Chen,
Jia Chen,
Yu Zhang,
Zhi Lin,
Meng Wang,
Lifei Huang,
Mengqi Huang,
Mimi Tang,
Xiaoqi Zhou,
Zhenpeng Peng,
Bingsheng Huang,
ShiTing Feng
Publication year - 2021
Publication title -
journal of hepatocellular carcinoma
Language(s) - English
Resource type - Journals
ISSN - 2253-5969
DOI - 10.2147/jhc.s313879
Subject(s) - gadoxetic acid , hepatocellular carcinoma , magnetic resonance imaging , radiomics , cytokeratin , medicine , radiology , gadolinium dtpa , pathology , immunohistochemistry
Cytokeratin 19 (CK19) expression is a proven independent prognostic predictor of hepatocellular carcinoma (HCC). This study aimed to develop and validate the performance of a deep learning radiomics (DLR) model for CK19 identification in HCC based on preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI).