Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis
Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to nonalcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a...
Gespeichert in:
Veröffentlicht in: | Clinical gastroenterology and hepatology 2022-11, Vol.20 (11), p.2451-2461.e3 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2461.e3 |
---|---|
container_issue | 11 |
container_start_page | 2451 |
container_title | Clinical gastroenterology and hepatology |
container_volume | 20 |
creator | Andersson, Anneli Kelly, Matt Imajo, Kento Nakajima, Atsushi Fallowfield, Jonathan A. Hirschfield, Gideon Pavlides, Michael Sanyal, Arun J. Noureddin, Mazen Banerjee, Rajarshi Dennis, Andrea Harrison, Stephen |
description | Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to nonalcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a leading cause of liver transplant worldwide. Noninvasive precise methods to identify patients with NASH and NASH with significant disease activity and fibrosis are crucial when the disease is still modifiable. The aim of this study was to examine the clinical utility of corrected T1 (cT1) vs magnetic resonance imaging (MRI) liver fat for identification of NASH participants with nonalcoholic fatty liver disease activity score ≥4 and fibrosis stage (F) ≥2 (high-risk NASH).
Data from five clinical studies (n = 543) with participants suspected of NAFLD were pooled or used for individual participant data meta-analysis. The diagnostic accuracy of the MRI biomarkers to stratify NASH patients was determined using the area under the receiver operating characteristic curve (AUROC).
A stepwise increase in cT1 and MRI liver fat with increased NAFLD severity was shown, and cT1 was significantly higher in participants with high-risk NASH. The diagnostic accuracy (AUROC) of cT1 to identify patients with NASH was 0.78 (95% CI, 0.74–0.82), for liver fat was 0.78 (95% CI, 0.73–0.82), and when combined with MRI liver fat was 0.82 (95% CI, 0.78–0.85). The diagnostic accuracy of cT1 to identify patients with high-risk NASH was good (AUROC = 0.78; 95% CI, 0.74–0.82), was superior to MRI liver fat (AUROC = 0.69; 95% CI, 0.64–0.74), and was not substantially improved by combining it with MRI liver fat (AUROC = 0.79; 95% CI, 0.75–0.83). The meta-analysis showed similar performance to the pooled analysis for these biomarkers.
This study shows that quantitative MRI-derived biomarkers cT1 and liver fat are suitable for identifying patients with NASH, and cT1 is a better noninvasive technology than liver fat to identify NASH patients at greatest risk of disease progression. Therefore, MRI cT1 and liver fat have important clinical utility to help guide the appropriate use of interventions in NAFLD and NASH clinical care pathways.
[Display omitted] |
doi_str_mv | 10.1016/j.cgh.2021.09.041 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2580691086</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1542356521010569</els_id><sourcerecordid>2580691086</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-f958447bb7946efbc7cd9377df697290ca2881081e1e79af13372a9ee9952f313</originalsourceid><addsrcrecordid>eNp9kc2OEzEQhEcIxP7AA3BBPnLJYHt-PIZTNrBspA1EC3u2HE970llnHGwHKW_G4-EogSOntuSvqtRdRfGG0ZJR1r7flGZYl5xyVlJZ0po9Ky5ZU_OJEKx-fn5XTdtcFFcxbijlspbiZXFR1S1vu6q6LH7PHI5otCOPCR2mA_GWLPQwQkJDHiD6UY8GyHyrBxwHcoN-q8MThEisD2Tew5jQHo5fXzPqjF97l5XfE-jk17DTCRNGsswzo5HoRO5wWJMHjE_HrGXwQ4AY0Y8fyJQs9i4HZxICWXrvoCefdNJEjz1ZQNKTaQ45RIyvihdWuwivz_O6eLz9_GN2N7n_9mU-m95PTN4xTaxsuroWq5WQdQt2ZYTpZSVEb1spuKRG865jtGPAQEhtWVUJriWAlA23Fauui3cn313wP_cQk9piNOCcHsHvo-JNR1uZHdqMshNqgo8xgFW7gPlaB8WoOhamNioXpo6FKSpVLixr3p7t96st9P8UfxvKwMcTAHnJXwhBRZMvaaDHACap3uN_7P8APIepIg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2580691086</pqid></control><display><type>article</type><title>Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Andersson, Anneli ; Kelly, Matt ; Imajo, Kento ; Nakajima, Atsushi ; Fallowfield, Jonathan A. ; Hirschfield, Gideon ; Pavlides, Michael ; Sanyal, Arun J. ; Noureddin, Mazen ; Banerjee, Rajarshi ; Dennis, Andrea ; Harrison, Stephen</creator><creatorcontrib>Andersson, Anneli ; Kelly, Matt ; Imajo, Kento ; Nakajima, Atsushi ; Fallowfield, Jonathan A. ; Hirschfield, Gideon ; Pavlides, Michael ; Sanyal, Arun J. ; Noureddin, Mazen ; Banerjee, Rajarshi ; Dennis, Andrea ; Harrison, Stephen</creatorcontrib><description>Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to nonalcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a leading cause of liver transplant worldwide. Noninvasive precise methods to identify patients with NASH and NASH with significant disease activity and fibrosis are crucial when the disease is still modifiable. The aim of this study was to examine the clinical utility of corrected T1 (cT1) vs magnetic resonance imaging (MRI) liver fat for identification of NASH participants with nonalcoholic fatty liver disease activity score ≥4 and fibrosis stage (F) ≥2 (high-risk NASH).
Data from five clinical studies (n = 543) with participants suspected of NAFLD were pooled or used for individual participant data meta-analysis. The diagnostic accuracy of the MRI biomarkers to stratify NASH patients was determined using the area under the receiver operating characteristic curve (AUROC).
A stepwise increase in cT1 and MRI liver fat with increased NAFLD severity was shown, and cT1 was significantly higher in participants with high-risk NASH. The diagnostic accuracy (AUROC) of cT1 to identify patients with NASH was 0.78 (95% CI, 0.74–0.82), for liver fat was 0.78 (95% CI, 0.73–0.82), and when combined with MRI liver fat was 0.82 (95% CI, 0.78–0.85). The diagnostic accuracy of cT1 to identify patients with high-risk NASH was good (AUROC = 0.78; 95% CI, 0.74–0.82), was superior to MRI liver fat (AUROC = 0.69; 95% CI, 0.64–0.74), and was not substantially improved by combining it with MRI liver fat (AUROC = 0.79; 95% CI, 0.75–0.83). The meta-analysis showed similar performance to the pooled analysis for these biomarkers.
This study shows that quantitative MRI-derived biomarkers cT1 and liver fat are suitable for identifying patients with NASH, and cT1 is a better noninvasive technology than liver fat to identify NASH patients at greatest risk of disease progression. Therefore, MRI cT1 and liver fat have important clinical utility to help guide the appropriate use of interventions in NAFLD and NASH clinical care pathways.
[Display omitted]</description><identifier>ISSN: 1542-3565</identifier><identifier>EISSN: 1542-7714</identifier><identifier>DOI: 10.1016/j.cgh.2021.09.041</identifier><identifier>PMID: 34626833</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>cT1 ; LiverMultiScan ; NAFLD ; Noninvasive ; PDFF ; Quantitative MRI</subject><ispartof>Clinical gastroenterology and hepatology, 2022-11, Vol.20 (11), p.2451-2461.e3</ispartof><rights>2021 by the AGA Institute</rights><rights>Copyright © 2021 by the AGA Institute. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-f958447bb7946efbc7cd9377df697290ca2881081e1e79af13372a9ee9952f313</citedby><cites>FETCH-LOGICAL-c462t-f958447bb7946efbc7cd9377df697290ca2881081e1e79af13372a9ee9952f313</cites><orcidid>0000-0002-0152-6528</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cgh.2021.09.041$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34626833$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Andersson, Anneli</creatorcontrib><creatorcontrib>Kelly, Matt</creatorcontrib><creatorcontrib>Imajo, Kento</creatorcontrib><creatorcontrib>Nakajima, Atsushi</creatorcontrib><creatorcontrib>Fallowfield, Jonathan A.</creatorcontrib><creatorcontrib>Hirschfield, Gideon</creatorcontrib><creatorcontrib>Pavlides, Michael</creatorcontrib><creatorcontrib>Sanyal, Arun J.</creatorcontrib><creatorcontrib>Noureddin, Mazen</creatorcontrib><creatorcontrib>Banerjee, Rajarshi</creatorcontrib><creatorcontrib>Dennis, Andrea</creatorcontrib><creatorcontrib>Harrison, Stephen</creatorcontrib><title>Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis</title><title>Clinical gastroenterology and hepatology</title><addtitle>Clin Gastroenterol Hepatol</addtitle><description>Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to nonalcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a leading cause of liver transplant worldwide. Noninvasive precise methods to identify patients with NASH and NASH with significant disease activity and fibrosis are crucial when the disease is still modifiable. The aim of this study was to examine the clinical utility of corrected T1 (cT1) vs magnetic resonance imaging (MRI) liver fat for identification of NASH participants with nonalcoholic fatty liver disease activity score ≥4 and fibrosis stage (F) ≥2 (high-risk NASH).
Data from five clinical studies (n = 543) with participants suspected of NAFLD were pooled or used for individual participant data meta-analysis. The diagnostic accuracy of the MRI biomarkers to stratify NASH patients was determined using the area under the receiver operating characteristic curve (AUROC).
A stepwise increase in cT1 and MRI liver fat with increased NAFLD severity was shown, and cT1 was significantly higher in participants with high-risk NASH. The diagnostic accuracy (AUROC) of cT1 to identify patients with NASH was 0.78 (95% CI, 0.74–0.82), for liver fat was 0.78 (95% CI, 0.73–0.82), and when combined with MRI liver fat was 0.82 (95% CI, 0.78–0.85). The diagnostic accuracy of cT1 to identify patients with high-risk NASH was good (AUROC = 0.78; 95% CI, 0.74–0.82), was superior to MRI liver fat (AUROC = 0.69; 95% CI, 0.64–0.74), and was not substantially improved by combining it with MRI liver fat (AUROC = 0.79; 95% CI, 0.75–0.83). The meta-analysis showed similar performance to the pooled analysis for these biomarkers.
This study shows that quantitative MRI-derived biomarkers cT1 and liver fat are suitable for identifying patients with NASH, and cT1 is a better noninvasive technology than liver fat to identify NASH patients at greatest risk of disease progression. Therefore, MRI cT1 and liver fat have important clinical utility to help guide the appropriate use of interventions in NAFLD and NASH clinical care pathways.
[Display omitted]</description><subject>cT1</subject><subject>LiverMultiScan</subject><subject>NAFLD</subject><subject>Noninvasive</subject><subject>PDFF</subject><subject>Quantitative MRI</subject><issn>1542-3565</issn><issn>1542-7714</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc2OEzEQhEcIxP7AA3BBPnLJYHt-PIZTNrBspA1EC3u2HE970llnHGwHKW_G4-EogSOntuSvqtRdRfGG0ZJR1r7flGZYl5xyVlJZ0po9Ky5ZU_OJEKx-fn5XTdtcFFcxbijlspbiZXFR1S1vu6q6LH7PHI5otCOPCR2mA_GWLPQwQkJDHiD6UY8GyHyrBxwHcoN-q8MThEisD2Tew5jQHo5fXzPqjF97l5XfE-jk17DTCRNGsswzo5HoRO5wWJMHjE_HrGXwQ4AY0Y8fyJQs9i4HZxICWXrvoCefdNJEjz1ZQNKTaQ45RIyvihdWuwivz_O6eLz9_GN2N7n_9mU-m95PTN4xTaxsuroWq5WQdQt2ZYTpZSVEb1spuKRG865jtGPAQEhtWVUJriWAlA23Fauui3cn313wP_cQk9piNOCcHsHvo-JNR1uZHdqMshNqgo8xgFW7gPlaB8WoOhamNioXpo6FKSpVLixr3p7t96st9P8UfxvKwMcTAHnJXwhBRZMvaaDHACap3uN_7P8APIepIg</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Andersson, Anneli</creator><creator>Kelly, Matt</creator><creator>Imajo, Kento</creator><creator>Nakajima, Atsushi</creator><creator>Fallowfield, Jonathan A.</creator><creator>Hirschfield, Gideon</creator><creator>Pavlides, Michael</creator><creator>Sanyal, Arun J.</creator><creator>Noureddin, Mazen</creator><creator>Banerjee, Rajarshi</creator><creator>Dennis, Andrea</creator><creator>Harrison, Stephen</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0152-6528</orcidid></search><sort><creationdate>20221101</creationdate><title>Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis</title><author>Andersson, Anneli ; Kelly, Matt ; Imajo, Kento ; Nakajima, Atsushi ; Fallowfield, Jonathan A. ; Hirschfield, Gideon ; Pavlides, Michael ; Sanyal, Arun J. ; Noureddin, Mazen ; Banerjee, Rajarshi ; Dennis, Andrea ; Harrison, Stephen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-f958447bb7946efbc7cd9377df697290ca2881081e1e79af13372a9ee9952f313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>cT1</topic><topic>LiverMultiScan</topic><topic>NAFLD</topic><topic>Noninvasive</topic><topic>PDFF</topic><topic>Quantitative MRI</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andersson, Anneli</creatorcontrib><creatorcontrib>Kelly, Matt</creatorcontrib><creatorcontrib>Imajo, Kento</creatorcontrib><creatorcontrib>Nakajima, Atsushi</creatorcontrib><creatorcontrib>Fallowfield, Jonathan A.</creatorcontrib><creatorcontrib>Hirschfield, Gideon</creatorcontrib><creatorcontrib>Pavlides, Michael</creatorcontrib><creatorcontrib>Sanyal, Arun J.</creatorcontrib><creatorcontrib>Noureddin, Mazen</creatorcontrib><creatorcontrib>Banerjee, Rajarshi</creatorcontrib><creatorcontrib>Dennis, Andrea</creatorcontrib><creatorcontrib>Harrison, Stephen</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical gastroenterology and hepatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andersson, Anneli</au><au>Kelly, Matt</au><au>Imajo, Kento</au><au>Nakajima, Atsushi</au><au>Fallowfield, Jonathan A.</au><au>Hirschfield, Gideon</au><au>Pavlides, Michael</au><au>Sanyal, Arun J.</au><au>Noureddin, Mazen</au><au>Banerjee, Rajarshi</au><au>Dennis, Andrea</au><au>Harrison, Stephen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis</atitle><jtitle>Clinical gastroenterology and hepatology</jtitle><addtitle>Clin Gastroenterol Hepatol</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>20</volume><issue>11</issue><spage>2451</spage><epage>2461.e3</epage><pages>2451-2461.e3</pages><issn>1542-3565</issn><eissn>1542-7714</eissn><abstract>Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to nonalcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a leading cause of liver transplant worldwide. Noninvasive precise methods to identify patients with NASH and NASH with significant disease activity and fibrosis are crucial when the disease is still modifiable. The aim of this study was to examine the clinical utility of corrected T1 (cT1) vs magnetic resonance imaging (MRI) liver fat for identification of NASH participants with nonalcoholic fatty liver disease activity score ≥4 and fibrosis stage (F) ≥2 (high-risk NASH).
Data from five clinical studies (n = 543) with participants suspected of NAFLD were pooled or used for individual participant data meta-analysis. The diagnostic accuracy of the MRI biomarkers to stratify NASH patients was determined using the area under the receiver operating characteristic curve (AUROC).
A stepwise increase in cT1 and MRI liver fat with increased NAFLD severity was shown, and cT1 was significantly higher in participants with high-risk NASH. The diagnostic accuracy (AUROC) of cT1 to identify patients with NASH was 0.78 (95% CI, 0.74–0.82), for liver fat was 0.78 (95% CI, 0.73–0.82), and when combined with MRI liver fat was 0.82 (95% CI, 0.78–0.85). The diagnostic accuracy of cT1 to identify patients with high-risk NASH was good (AUROC = 0.78; 95% CI, 0.74–0.82), was superior to MRI liver fat (AUROC = 0.69; 95% CI, 0.64–0.74), and was not substantially improved by combining it with MRI liver fat (AUROC = 0.79; 95% CI, 0.75–0.83). The meta-analysis showed similar performance to the pooled analysis for these biomarkers.
This study shows that quantitative MRI-derived biomarkers cT1 and liver fat are suitable for identifying patients with NASH, and cT1 is a better noninvasive technology than liver fat to identify NASH patients at greatest risk of disease progression. Therefore, MRI cT1 and liver fat have important clinical utility to help guide the appropriate use of interventions in NAFLD and NASH clinical care pathways.
[Display omitted]</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34626833</pmid><doi>10.1016/j.cgh.2021.09.041</doi><orcidid>https://orcid.org/0000-0002-0152-6528</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1542-3565 |
ispartof | Clinical gastroenterology and hepatology, 2022-11, Vol.20 (11), p.2451-2461.e3 |
issn | 1542-3565 1542-7714 |
language | eng |
recordid | cdi_proquest_miscellaneous_2580691086 |
source | Elsevier ScienceDirect Journals Complete |
subjects | cT1 LiverMultiScan NAFLD Noninvasive PDFF Quantitative MRI |
title | Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T09%3A47%3A30IST&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=Clinical%20Utility%20of%20Magnetic%20Resonance%20Imaging%20Biomarkers%20for%20Identifying%20Nonalcoholic%20Steatohepatitis%20Patients%20at%20High%20Risk%20of%20Progression:%20A%20Multicenter%20Pooled%20Data%20and%20Meta-Analysis&rft.jtitle=Clinical%20gastroenterology%20and%20hepatology&rft.au=Andersson,%20Anneli&rft.date=2022-11-01&rft.volume=20&rft.issue=11&rft.spage=2451&rft.epage=2461.e3&rft.pages=2451-2461.e3&rft.issn=1542-3565&rft.eissn=1542-7714&rft_id=info:doi/10.1016/j.cgh.2021.09.041&rft_dat=%3Cproquest_cross%3E2580691086%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2580691086&rft_id=info:pmid/34626833&rft_els_id=S1542356521010569&rfr_iscdi=true |