Back to Search Start Over

Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types

Authors :
Xing Xue
Jiahui Zhang
Yanjun Shi
Juan Xu
Peipei Pang
Siying Zhang
Dongdong Sun
Linpeng Yao
Lixia Zhang
Xin Li
Xiaoli Wang
Yuanjun Chen
Feng Chen
Source :
Ann Transl Med
Publication Year :
2020

Abstract

BACKGROUND: Radiomics can be used to determine the prognosis of liver cancer, but it might vary among cancer types. This study aimed to explore the clinicopathological features, radiomics, and survival of patients with hepatocellular carcinoma (HCC), mass-type cholangiocarcinoma (MCC), and combined hepatocellular-cholangiocarcinoma (CHCC). METHODS: This was a retrospective cohort study of patients with primary liver cancer operated at the department of hepatobiliary surgery of the First Affiliated Hospital of Zhejiang University from 07/2013 to 11/2015. All patients underwent preoperative liver enhanced MRI scans and diffusion-weighted imaging (DWI). The radiomics characteristics of DWI and the enhanced equilibrium phase (EP) images were extracted. The mRMR (minimum redundancy maximum relevance) was applied to filter the parameters. RESULTS: There were 44 patients with MCC, 59 with HCC, and 33 with CHCC. Macrovascular invasion, tumor diameter, positive ferritin preoperatively, positive AFP preoperatively, positive CEA preoperatively, Correlation, Inverse Difference Moment, and Cluster Prominence in model A (DWI and clinicopathological parameters) were independently associated with overall survival (OS) (P

Details

ISSN :
23055839
Volume :
8
Issue :
13
Database :
OpenAIRE
Journal :
Annals of translational medicine
Accession number :
edsair.doi.dedup.....991095116022d282e1cade40d93b2235