Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jiahui, Wang, Xiaoli, Zhang, Lixia, Yao, Linpeng, Xue, Xing, Zhang, Siying, Li, Xin, Chen, Yuanjun, Pang, Peipei, Sun, Dongdong, Xu, Juan, Shi, Yanjun, Chen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396247/
https://www.ncbi.nlm.nih.gov/pubmed/32793665
http://dx.doi.org/10.21037/atm-19-4668
_version_ 1783565549501939712
author Zhang, Jiahui
Wang, Xiaoli
Zhang, Lixia
Yao, Linpeng
Xue, Xing
Zhang, Siying
Li, Xin
Chen, Yuanjun
Pang, Peipei
Sun, Dongdong
Xu, Juan
Shi, Yanjun
Chen, Feng
author_facet Zhang, Jiahui
Wang, Xiaoli
Zhang, Lixia
Yao, Linpeng
Xue, Xing
Zhang, Siying
Li, Xin
Chen, Yuanjun
Pang, Peipei
Sun, Dongdong
Xu, Juan
Shi, Yanjun
Chen, Feng
author_sort Zhang, Jiahui
collection PubMed
description 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<0.05). Lymphadenopathy, gender, positive ferritin preoperatively, positive AFP preoperatively, positive CEA preoperatively, Uniformity, and Cluster Prominence in model B (EP and clinicopathological parameters) were independently associated with OS (P<0.05). Macrovascular invasion, lymphadenopathy, gender, positive ferritin preoperatively, positive CEA preoperatively, Uniformity_EP, GLCMEnergy_DWI, and Cluster Prominence_EP in model C (image texture and clinicopathological parameters) were independently associated with OS (P<0.05). Those factors were used to construct three nomograms to predict OS. CONCLUSIONS: Clinicopathological and radiomics features are independently associated with the OS of patients with primary liver cancer.
format Online
Article
Text
id pubmed-7396247
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-73962472020-08-12 Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types Zhang, Jiahui Wang, Xiaoli Zhang, Lixia Yao, Linpeng Xue, Xing Zhang, Siying Li, Xin Chen, Yuanjun Pang, Peipei Sun, Dongdong Xu, Juan Shi, Yanjun Chen, Feng Ann Transl Med Original Article 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<0.05). Lymphadenopathy, gender, positive ferritin preoperatively, positive AFP preoperatively, positive CEA preoperatively, Uniformity, and Cluster Prominence in model B (EP and clinicopathological parameters) were independently associated with OS (P<0.05). Macrovascular invasion, lymphadenopathy, gender, positive ferritin preoperatively, positive CEA preoperatively, Uniformity_EP, GLCMEnergy_DWI, and Cluster Prominence_EP in model C (image texture and clinicopathological parameters) were independently associated with OS (P<0.05). Those factors were used to construct three nomograms to predict OS. CONCLUSIONS: Clinicopathological and radiomics features are independently associated with the OS of patients with primary liver cancer. AME Publishing Company 2020-07 /pmc/articles/PMC7396247/ /pubmed/32793665 http://dx.doi.org/10.21037/atm-19-4668 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zhang, Jiahui
Wang, Xiaoli
Zhang, Lixia
Yao, Linpeng
Xue, Xing
Zhang, Siying
Li, Xin
Chen, Yuanjun
Pang, Peipei
Sun, Dongdong
Xu, Juan
Shi, Yanjun
Chen, Feng
Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types
title Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types
title_full Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types
title_fullStr Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types
title_full_unstemmed Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types
title_short Radiomics predict postoperative survival of patients with primary liver cancer with different pathological types
title_sort radiomics predict postoperative survival of patients with primary liver cancer with different pathological types
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396247/
https://www.ncbi.nlm.nih.gov/pubmed/32793665
http://dx.doi.org/10.21037/atm-19-4668
work_keys_str_mv AT zhangjiahui radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT wangxiaoli radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT zhanglixia radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT yaolinpeng radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT xuexing radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT zhangsiying radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT lixin radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT chenyuanjun radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT pangpeipei radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT sundongdong radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT xujuan radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT shiyanjun radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes
AT chenfeng radiomicspredictpostoperativesurvivalofpatientswithprimarylivercancerwithdifferentpathologicaltypes