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Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend
Radiomics was proposed by Lambin et al. in 2012 and since then there has been an explosion of related research. There has been significant interest in developing high-throughput methods that can automatically extract a large number of quantitative image features from medical images for better diagno...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076873/ https://www.ncbi.nlm.nih.gov/pubmed/37035147 http://dx.doi.org/10.3389/fonc.2023.1133867 |
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author | Chen, Pengyu Yang, Zhenwei Zhang, Haofeng Huang, Guan Li, Qingshan Ning, Peigang Yu, Haibo |
author_facet | Chen, Pengyu Yang, Zhenwei Zhang, Haofeng Huang, Guan Li, Qingshan Ning, Peigang Yu, Haibo |
author_sort | Chen, Pengyu |
collection | PubMed |
description | Radiomics was proposed by Lambin et al. in 2012 and since then there has been an explosion of related research. There has been significant interest in developing high-throughput methods that can automatically extract a large number of quantitative image features from medical images for better diagnostic or predictive performance. There have also been numerous radiomics investigations on intrahepatic cholangiocarcinoma in recent years, but no pertinent review materials are readily available. This work discusses the modeling analysis of radiomics for the prediction of lymph node metastasis, microvascular invasion, and early recurrence of intrahepatic cholangiocarcinoma, as well as the use of deep learning. This paper briefly reviews the current status of radiomics research to provide a reference for future studies. |
format | Online Article Text |
id | pubmed-10076873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100768732023-04-07 Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend Chen, Pengyu Yang, Zhenwei Zhang, Haofeng Huang, Guan Li, Qingshan Ning, Peigang Yu, Haibo Front Oncol Oncology Radiomics was proposed by Lambin et al. in 2012 and since then there has been an explosion of related research. There has been significant interest in developing high-throughput methods that can automatically extract a large number of quantitative image features from medical images for better diagnostic or predictive performance. There have also been numerous radiomics investigations on intrahepatic cholangiocarcinoma in recent years, but no pertinent review materials are readily available. This work discusses the modeling analysis of radiomics for the prediction of lymph node metastasis, microvascular invasion, and early recurrence of intrahepatic cholangiocarcinoma, as well as the use of deep learning. This paper briefly reviews the current status of radiomics research to provide a reference for future studies. Frontiers Media S.A. 2023-03-23 /pmc/articles/PMC10076873/ /pubmed/37035147 http://dx.doi.org/10.3389/fonc.2023.1133867 Text en Copyright © 2023 Chen, Yang, Zhang, Huang, Li, Ning and Yu 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 Chen, Pengyu Yang, Zhenwei Zhang, Haofeng Huang, Guan Li, Qingshan Ning, Peigang Yu, Haibo Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend |
title | Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend |
title_full | Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend |
title_fullStr | Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend |
title_full_unstemmed | Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend |
title_short | Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend |
title_sort | personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: application and development trend |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076873/ https://www.ncbi.nlm.nih.gov/pubmed/37035147 http://dx.doi.org/10.3389/fonc.2023.1133867 |
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