Cargando…

An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study

OBJECTIVE: This study aims to establish a nomogram and provide an effective method to distinguish between intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC). METHODS: A total of 1,591 patients with HCC or ICC hospitalized at Shandong Provincial Hospital between January 2016 and...

Descripción completa

Detalles Bibliográficos
Autores principales: Si, Yuan-Quan, Wang, Xiu-Qin, Pan, Cui-Cui, Wang, Yong, Lu, Zhi-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035637/
https://www.ncbi.nlm.nih.gov/pubmed/35480111
http://dx.doi.org/10.3389/fonc.2022.833999
_version_ 1784693338740359168
author Si, Yuan-Quan
Wang, Xiu-Qin
Pan, Cui-Cui
Wang, Yong
Lu, Zhi-Ming
author_facet Si, Yuan-Quan
Wang, Xiu-Qin
Pan, Cui-Cui
Wang, Yong
Lu, Zhi-Ming
author_sort Si, Yuan-Quan
collection PubMed
description OBJECTIVE: This study aims to establish a nomogram and provide an effective method to distinguish between intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC). METHODS: A total of 1,591 patients with HCC or ICC hospitalized at Shandong Provincial Hospital between January 2016 and August 2021 were included and randomly divided into development and validation groups in a ratio of 3:1. Univariate and multivariate analyses were performed to determine the independent differential factors between HCC and ICC patients in the development cohort. By combining these independent differential factors, the nomogram was established for discriminating ICC from HCC. The accuracy of the nomogram was estimated by using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Furthermore, the predictive nomogram was assessed in the internal testing set. RESULTS: Through multivariate analysis, independent differential factors between HCC and ICC involved hepatitis B virus (HBV), logarithm of alpha-fetoprotein (Log AFP), logarithm of protein induced by vitamin K absence or antagonist-II (Log PIVKA-II), logarithm of carbohydrate antigen 199 (Log CA199), and logarithm of carbohydrate antigen 125 (Log CA125). A nomogram was finally established by incorporating these five independent differential factors. Comparing a model of conventional tumor biomarkers including AFP and CA199, the nomogram showed a better distinction between ICC and HCC. The area under the ROC curve (AUC) of ICC diagnosis was 0.951 (95% CI, 0.938–0.964) for the nomogram. The results were consistent in the validation cohort with an AUC of 0.958 (95% CI, 0.938–0.978). After integrating patient preferences into the analysis, the DCA showed that using this nomogram to distinguish ICC and HCC increased more benefit compared with the conventional model. CONCLUSION: An efficient nomogram has been established for the differential diagnosis between ICC and HCC, which may facilitate the detection and diagnosis of ICC. Further use of the nomogram in multicenter investigations will confirm the practicality of the tool for future clinical application.
format Online
Article
Text
id pubmed-9035637
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-90356372022-04-26 An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study Si, Yuan-Quan Wang, Xiu-Qin Pan, Cui-Cui Wang, Yong Lu, Zhi-Ming Front Oncol Oncology OBJECTIVE: This study aims to establish a nomogram and provide an effective method to distinguish between intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC). METHODS: A total of 1,591 patients with HCC or ICC hospitalized at Shandong Provincial Hospital between January 2016 and August 2021 were included and randomly divided into development and validation groups in a ratio of 3:1. Univariate and multivariate analyses were performed to determine the independent differential factors between HCC and ICC patients in the development cohort. By combining these independent differential factors, the nomogram was established for discriminating ICC from HCC. The accuracy of the nomogram was estimated by using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Furthermore, the predictive nomogram was assessed in the internal testing set. RESULTS: Through multivariate analysis, independent differential factors between HCC and ICC involved hepatitis B virus (HBV), logarithm of alpha-fetoprotein (Log AFP), logarithm of protein induced by vitamin K absence or antagonist-II (Log PIVKA-II), logarithm of carbohydrate antigen 199 (Log CA199), and logarithm of carbohydrate antigen 125 (Log CA125). A nomogram was finally established by incorporating these five independent differential factors. Comparing a model of conventional tumor biomarkers including AFP and CA199, the nomogram showed a better distinction between ICC and HCC. The area under the ROC curve (AUC) of ICC diagnosis was 0.951 (95% CI, 0.938–0.964) for the nomogram. The results were consistent in the validation cohort with an AUC of 0.958 (95% CI, 0.938–0.978). After integrating patient preferences into the analysis, the DCA showed that using this nomogram to distinguish ICC and HCC increased more benefit compared with the conventional model. CONCLUSION: An efficient nomogram has been established for the differential diagnosis between ICC and HCC, which may facilitate the detection and diagnosis of ICC. Further use of the nomogram in multicenter investigations will confirm the practicality of the tool for future clinical application. Frontiers Media S.A. 2022-04-11 /pmc/articles/PMC9035637/ /pubmed/35480111 http://dx.doi.org/10.3389/fonc.2022.833999 Text en Copyright © 2022 Si, Wang, Pan, Wang and Lu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Si, Yuan-Quan
Wang, Xiu-Qin
Pan, Cui-Cui
Wang, Yong
Lu, Zhi-Ming
An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study
title An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study
title_full An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study
title_fullStr An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study
title_full_unstemmed An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study
title_short An Efficient Nomogram for Discriminating Intrahepatic Cholangiocarcinoma From Hepatocellular Carcinoma: A Retrospective Study
title_sort efficient nomogram for discriminating intrahepatic cholangiocarcinoma from hepatocellular carcinoma: a retrospective study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035637/
https://www.ncbi.nlm.nih.gov/pubmed/35480111
http://dx.doi.org/10.3389/fonc.2022.833999
work_keys_str_mv AT siyuanquan anefficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT wangxiuqin anefficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT pancuicui anefficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT wangyong anefficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT luzhiming anefficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT siyuanquan efficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT wangxiuqin efficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT pancuicui efficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT wangyong efficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy
AT luzhiming efficientnomogramfordiscriminatingintrahepaticcholangiocarcinomafromhepatocellularcarcinomaaretrospectivestudy