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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |