Loading…
State-of-the-art imaging of hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is the third most fatal and fifth most common cancer worldwide, with rising incidence due to obesity and nonalcoholic fatty liver disease. Imaging modalities, including ultrasound (US), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI) play...
Saved in:
Published in: | Journal of gastrointestinal surgery 2024-10, Vol.28 (10), p.1717-1725 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c241t-4c34e2c7a63ebe07839fe38c3bf1075090ed1b525850da86012d4e71346beb523 |
container_end_page | 1725 |
container_issue | 10 |
container_start_page | 1717 |
container_title | Journal of gastrointestinal surgery |
container_volume | 28 |
creator | Afyouni, Shadi Zandieh, Ghazal Nia, Iman Yazdani Pawlik, Timothy M. Kamel, Ihab R. |
description | Hepatocellular carcinoma (HCC) is the third most fatal and fifth most common cancer worldwide, with rising incidence due to obesity and nonalcoholic fatty liver disease. Imaging modalities, including ultrasound (US), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI) play a vital role in detecting HCC characteristics, aiding in early detection, detailed visualization, and accurate differentiation of liver lesions. Liver-specific contrast agents, the Liver Imaging Reporting and Data System, and advanced techniques, including diffusion-weighted imaging and artificial intelligence, further enhance diagnostic accuracy. This review emphasizes the significant role of imaging in managing HCC, from diagnosis to treatment assessment, without the need for invasive biopsies. |
doi_str_mv | 10.1016/j.gassur.2024.08.001 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3090945307</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1091255X24005705</els_id><sourcerecordid>3090945307</sourcerecordid><originalsourceid>FETCH-LOGICAL-c241t-4c34e2c7a63ebe07839fe38c3bf1075090ed1b525850da86012d4e71346beb523</originalsourceid><addsrcrecordid>eNp9kEtLw0AQgBdRbK3-A5EcvSTOPpJNLoIUX1DwoIK3ZbOZtClJtu4mgv_eLakePc0wfPP6CLmkkFCg2c02WWvvR5cwYCKBPAGgR2ROc8ljkbHsOORQ0Jil6ceMnHm_DYAEmp-SGS8olSyTcyJeBz1gbOt42GCs3RA1nV43_TqydbTBnR6swbYdW-0io51petvpc3JS69bjxSEuyPvD_dvyKV69PD4v71axYYIOsTBcIDNSZxxLBJnzokaeG17WFGQKBWBFy5SleQqVzjOgrBIoKRdZiaHOF-R6mrtz9nNEP6iu8ftzdI929IqHEYVIOciAigk1znrvsFY7Fz5x34qC2vtSWzX5UntfCnIVdIS2q8OGseyw-mv6FRSA2wnA8OdXg05502BvsGocmkFVtvl_ww910nyh</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3090945307</pqid></control><display><type>article</type><title>State-of-the-art imaging of hepatocellular carcinoma</title><source>Springer Nature</source><creator>Afyouni, Shadi ; Zandieh, Ghazal ; Nia, Iman Yazdani ; Pawlik, Timothy M. ; Kamel, Ihab R.</creator><creatorcontrib>Afyouni, Shadi ; Zandieh, Ghazal ; Nia, Iman Yazdani ; Pawlik, Timothy M. ; Kamel, Ihab R.</creatorcontrib><description>Hepatocellular carcinoma (HCC) is the third most fatal and fifth most common cancer worldwide, with rising incidence due to obesity and nonalcoholic fatty liver disease. Imaging modalities, including ultrasound (US), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI) play a vital role in detecting HCC characteristics, aiding in early detection, detailed visualization, and accurate differentiation of liver lesions. Liver-specific contrast agents, the Liver Imaging Reporting and Data System, and advanced techniques, including diffusion-weighted imaging and artificial intelligence, further enhance diagnostic accuracy. This review emphasizes the significant role of imaging in managing HCC, from diagnosis to treatment assessment, without the need for invasive biopsies.</description><identifier>ISSN: 1091-255X</identifier><identifier>ISSN: 1873-4626</identifier><identifier>EISSN: 1873-4626</identifier><identifier>DOI: 10.1016/j.gassur.2024.08.001</identifier><identifier>PMID: 39117267</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Artificial intelligence ; Carcinoma, Hepatocellular - diagnostic imaging ; Carcinoma, Hepatocellular - pathology ; Contrast Media ; Diagnostic radiology ; Diffusion Magnetic Resonance Imaging - methods ; Hepatocellular carcinoma ; Humans ; Liver ; Liver Neoplasms - diagnostic imaging ; Liver Neoplasms - pathology ; Magnetic Resonance Imaging - methods ; Multidetector Computed Tomography - methods ; Ultrasonography - methods</subject><ispartof>Journal of gastrointestinal surgery, 2024-10, Vol.28 (10), p.1717-1725</ispartof><rights>2024</rights><rights>Copyright © 2024. Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c241t-4c34e2c7a63ebe07839fe38c3bf1075090ed1b525850da86012d4e71346beb523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39117267$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Afyouni, Shadi</creatorcontrib><creatorcontrib>Zandieh, Ghazal</creatorcontrib><creatorcontrib>Nia, Iman Yazdani</creatorcontrib><creatorcontrib>Pawlik, Timothy M.</creatorcontrib><creatorcontrib>Kamel, Ihab R.</creatorcontrib><title>State-of-the-art imaging of hepatocellular carcinoma</title><title>Journal of gastrointestinal surgery</title><addtitle>J Gastrointest Surg</addtitle><description>Hepatocellular carcinoma (HCC) is the third most fatal and fifth most common cancer worldwide, with rising incidence due to obesity and nonalcoholic fatty liver disease. Imaging modalities, including ultrasound (US), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI) play a vital role in detecting HCC characteristics, aiding in early detection, detailed visualization, and accurate differentiation of liver lesions. Liver-specific contrast agents, the Liver Imaging Reporting and Data System, and advanced techniques, including diffusion-weighted imaging and artificial intelligence, further enhance diagnostic accuracy. This review emphasizes the significant role of imaging in managing HCC, from diagnosis to treatment assessment, without the need for invasive biopsies.</description><subject>Artificial intelligence</subject><subject>Carcinoma, Hepatocellular - diagnostic imaging</subject><subject>Carcinoma, Hepatocellular - pathology</subject><subject>Contrast Media</subject><subject>Diagnostic radiology</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Hepatocellular carcinoma</subject><subject>Humans</subject><subject>Liver</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Liver Neoplasms - pathology</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Multidetector Computed Tomography - methods</subject><subject>Ultrasonography - methods</subject><issn>1091-255X</issn><issn>1873-4626</issn><issn>1873-4626</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLw0AQgBdRbK3-A5EcvSTOPpJNLoIUX1DwoIK3ZbOZtClJtu4mgv_eLakePc0wfPP6CLmkkFCg2c02WWvvR5cwYCKBPAGgR2ROc8ljkbHsOORQ0Jil6ceMnHm_DYAEmp-SGS8olSyTcyJeBz1gbOt42GCs3RA1nV43_TqydbTBnR6swbYdW-0io51petvpc3JS69bjxSEuyPvD_dvyKV69PD4v71axYYIOsTBcIDNSZxxLBJnzokaeG17WFGQKBWBFy5SleQqVzjOgrBIoKRdZiaHOF-R6mrtz9nNEP6iu8ftzdI929IqHEYVIOciAigk1znrvsFY7Fz5x34qC2vtSWzX5UntfCnIVdIS2q8OGseyw-mv6FRSA2wnA8OdXg05502BvsGocmkFVtvl_ww910nyh</recordid><startdate>202410</startdate><enddate>202410</enddate><creator>Afyouni, Shadi</creator><creator>Zandieh, Ghazal</creator><creator>Nia, Iman Yazdani</creator><creator>Pawlik, Timothy M.</creator><creator>Kamel, Ihab R.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202410</creationdate><title>State-of-the-art imaging of hepatocellular carcinoma</title><author>Afyouni, Shadi ; Zandieh, Ghazal ; Nia, Iman Yazdani ; Pawlik, Timothy M. ; Kamel, Ihab R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c241t-4c34e2c7a63ebe07839fe38c3bf1075090ed1b525850da86012d4e71346beb523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial intelligence</topic><topic>Carcinoma, Hepatocellular - diagnostic imaging</topic><topic>Carcinoma, Hepatocellular - pathology</topic><topic>Contrast Media</topic><topic>Diagnostic radiology</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Hepatocellular carcinoma</topic><topic>Humans</topic><topic>Liver</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Liver Neoplasms - pathology</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Multidetector Computed Tomography - methods</topic><topic>Ultrasonography - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Afyouni, Shadi</creatorcontrib><creatorcontrib>Zandieh, Ghazal</creatorcontrib><creatorcontrib>Nia, Iman Yazdani</creatorcontrib><creatorcontrib>Pawlik, Timothy M.</creatorcontrib><creatorcontrib>Kamel, Ihab R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of gastrointestinal surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Afyouni, Shadi</au><au>Zandieh, Ghazal</au><au>Nia, Iman Yazdani</au><au>Pawlik, Timothy M.</au><au>Kamel, Ihab R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>State-of-the-art imaging of hepatocellular carcinoma</atitle><jtitle>Journal of gastrointestinal surgery</jtitle><addtitle>J Gastrointest Surg</addtitle><date>2024-10</date><risdate>2024</risdate><volume>28</volume><issue>10</issue><spage>1717</spage><epage>1725</epage><pages>1717-1725</pages><issn>1091-255X</issn><issn>1873-4626</issn><eissn>1873-4626</eissn><abstract>Hepatocellular carcinoma (HCC) is the third most fatal and fifth most common cancer worldwide, with rising incidence due to obesity and nonalcoholic fatty liver disease. Imaging modalities, including ultrasound (US), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI) play a vital role in detecting HCC characteristics, aiding in early detection, detailed visualization, and accurate differentiation of liver lesions. Liver-specific contrast agents, the Liver Imaging Reporting and Data System, and advanced techniques, including diffusion-weighted imaging and artificial intelligence, further enhance diagnostic accuracy. This review emphasizes the significant role of imaging in managing HCC, from diagnosis to treatment assessment, without the need for invasive biopsies.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>39117267</pmid><doi>10.1016/j.gassur.2024.08.001</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1091-255X |
ispartof | Journal of gastrointestinal surgery, 2024-10, Vol.28 (10), p.1717-1725 |
issn | 1091-255X 1873-4626 1873-4626 |
language | eng |
recordid | cdi_proquest_miscellaneous_3090945307 |
source | Springer Nature |
subjects | Artificial intelligence Carcinoma, Hepatocellular - diagnostic imaging Carcinoma, Hepatocellular - pathology Contrast Media Diagnostic radiology Diffusion Magnetic Resonance Imaging - methods Hepatocellular carcinoma Humans Liver Liver Neoplasms - diagnostic imaging Liver Neoplasms - pathology Magnetic Resonance Imaging - methods Multidetector Computed Tomography - methods Ultrasonography - methods |
title | State-of-the-art imaging of hepatocellular carcinoma |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T18%3A17%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=State-of-the-art%20imaging%20of%20hepatocellular%20carcinoma&rft.jtitle=Journal%20of%20gastrointestinal%20surgery&rft.au=Afyouni,%20Shadi&rft.date=2024-10&rft.volume=28&rft.issue=10&rft.spage=1717&rft.epage=1725&rft.pages=1717-1725&rft.issn=1091-255X&rft.eissn=1873-4626&rft_id=info:doi/10.1016/j.gassur.2024.08.001&rft_dat=%3Cproquest_cross%3E3090945307%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c241t-4c34e2c7a63ebe07839fe38c3bf1075090ed1b525850da86012d4e71346beb523%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3090945307&rft_id=info:pmid/39117267&rfr_iscdi=true |