Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard
Image-based quantitative methods for liver heterogeneity (L ) and nodularity (L ) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L and L and compared L and L accordin...
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description | Image-based quantitative methods for liver heterogeneity (L
) and nodularity (L
) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L
and L
and compared L
and L
according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying L
and L
were bias correction, contour detection, liver segmentation, and L
and L
measurements. L
and L
scores among fibrosis stages (F0-F3) were compared using ANOVA with Tukey's test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean L
scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively (
< 0.001). The mean L
scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively (
< 0.001). The combined L
× L
scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively (
< 0.001). The AUROCs of L
, L
, and L
× L
for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of L
and L
scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD. |
doi_str_mv | 10.3390/jcm10081697 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8071162</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2520858508</sourcerecordid><originalsourceid>FETCH-LOGICAL-c409t-963f9b4f3f93ae28ee831556361001491cfdfb3d38a2d79f0ee56e55411fe043</originalsourceid><addsrcrecordid>eNpdkc1u1DAUhS0EolXpij2yxAYJBew4TpwN0rRi6EgDSENZW574OvUosQfbKcyz9GXrqKUa8MK_3z2-Ogeh15R8YKwlH3fdSAkRtG6bZ-i0JE1TECbY86P9CTqPcUfyEKIqafMSneTSkghSnaK7RYwQ4wguYW_w2t5CwEu7DT7aiH8k1QP-Ga3r8col6INKmcALp4bDDOSSK9jnyy6vCYLvwYFNB6ycxt-8ngYV5qN1eOOnZB3gr5sV_m3TDV6uLooqy2r4g1XEGzAQwHUw_-q0CvoVemHUEOH8cT1D18vP15dXxfr7l9XlYl10FWlT0dbMtNvK5JkpKAWAYJTzmtXZGVq1tDPabJlmQpW6aQ0B4DVwXlFqgFTsDH16kN1P2xF0l60IapD7YEcVDtIrK_99cfZG9v5WCtJQWpdZ4N2jQPC_JohJjjZ2MAzKgZ-iLHk2mwtOREbf_ofu_BSymzPVtqTmFSGZev9AdTmGGMA8NUOJnGOXR7Fn-s1x_0_s35DZPfQJqYU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2599065400</pqid></control><display><type>article</type><title>Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Kim, Tae-Hoon ; Jeong, Chang-Won ; Kim, Ji Eon ; Kim, Jin Woong ; Jo, Hoon Gil ; Kim, Youe Ree ; Lee, Young Hwan ; Yoon, Kwon-Ha</creator><creatorcontrib>Kim, Tae-Hoon ; Jeong, Chang-Won ; Kim, Ji Eon ; Kim, Jin Woong ; Jo, Hoon Gil ; Kim, Youe Ree ; Lee, Young Hwan ; Yoon, Kwon-Ha</creatorcontrib><description>Image-based quantitative methods for liver heterogeneity (L
) and nodularity (L
) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L
and L
and compared L
and L
according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying L
and L
were bias correction, contour detection, liver segmentation, and L
and L
measurements. L
and L
scores among fibrosis stages (F0-F3) were compared using ANOVA with Tukey's test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean L
scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively (
< 0.001). The mean L
scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively (
< 0.001). The combined L
× L
scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively (
< 0.001). The AUROCs of L
, L
, and L
× L
for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of L
and L
scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm10081697</identifier><identifier>PMID: 33920804</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Abdomen ; Archives & records ; Bias ; Biopsy ; Clinical medicine ; Hepatitis ; Liver cirrhosis ; Liver diseases ; Methods ; Patients ; Software</subject><ispartof>Journal of clinical medicine, 2021-04, Vol.10 (8), p.1697</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-963f9b4f3f93ae28ee831556361001491cfdfb3d38a2d79f0ee56e55411fe043</citedby><cites>FETCH-LOGICAL-c409t-963f9b4f3f93ae28ee831556361001491cfdfb3d38a2d79f0ee56e55411fe043</cites><orcidid>0000-0003-4725-5687 ; 0000-0002-2634-8510 ; 0000-0002-2552-0665</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071162/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071162/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33920804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Tae-Hoon</creatorcontrib><creatorcontrib>Jeong, Chang-Won</creatorcontrib><creatorcontrib>Kim, Ji Eon</creatorcontrib><creatorcontrib>Kim, Jin Woong</creatorcontrib><creatorcontrib>Jo, Hoon Gil</creatorcontrib><creatorcontrib>Kim, Youe Ree</creatorcontrib><creatorcontrib>Lee, Young Hwan</creatorcontrib><creatorcontrib>Yoon, Kwon-Ha</creatorcontrib><title>Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>Image-based quantitative methods for liver heterogeneity (L
) and nodularity (L
) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L
and L
and compared L
and L
according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying L
and L
were bias correction, contour detection, liver segmentation, and L
and L
measurements. L
and L
scores among fibrosis stages (F0-F3) were compared using ANOVA with Tukey's test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean L
scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively (
< 0.001). The mean L
scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively (
< 0.001). The combined L
× L
scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively (
< 0.001). The AUROCs of L
, L
, and L
× L
for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of L
and L
scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD.</description><subject>Abdomen</subject><subject>Archives & records</subject><subject>Bias</subject><subject>Biopsy</subject><subject>Clinical medicine</subject><subject>Hepatitis</subject><subject>Liver cirrhosis</subject><subject>Liver diseases</subject><subject>Methods</subject><subject>Patients</subject><subject>Software</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkc1u1DAUhS0EolXpij2yxAYJBew4TpwN0rRi6EgDSENZW574OvUosQfbKcyz9GXrqKUa8MK_3z2-Ogeh15R8YKwlH3fdSAkRtG6bZ-i0JE1TECbY86P9CTqPcUfyEKIqafMSneTSkghSnaK7RYwQ4wguYW_w2t5CwEu7DT7aiH8k1QP-Ga3r8col6INKmcALp4bDDOSSK9jnyy6vCYLvwYFNB6ycxt-8ngYV5qN1eOOnZB3gr5sV_m3TDV6uLooqy2r4g1XEGzAQwHUw_-q0CvoVemHUEOH8cT1D18vP15dXxfr7l9XlYl10FWlT0dbMtNvK5JkpKAWAYJTzmtXZGVq1tDPabJlmQpW6aQ0B4DVwXlFqgFTsDH16kN1P2xF0l60IapD7YEcVDtIrK_99cfZG9v5WCtJQWpdZ4N2jQPC_JohJjjZ2MAzKgZ-iLHk2mwtOREbf_ofu_BSymzPVtqTmFSGZev9AdTmGGMA8NUOJnGOXR7Fn-s1x_0_s35DZPfQJqYU</recordid><startdate>20210415</startdate><enddate>20210415</enddate><creator>Kim, Tae-Hoon</creator><creator>Jeong, Chang-Won</creator><creator>Kim, Ji Eon</creator><creator>Kim, Jin Woong</creator><creator>Jo, Hoon Gil</creator><creator>Kim, Youe Ree</creator><creator>Lee, Young Hwan</creator><creator>Yoon, Kwon-Ha</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4725-5687</orcidid><orcidid>https://orcid.org/0000-0002-2634-8510</orcidid><orcidid>https://orcid.org/0000-0002-2552-0665</orcidid></search><sort><creationdate>20210415</creationdate><title>Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard</title><author>Kim, Tae-Hoon ; Jeong, Chang-Won ; Kim, Ji Eon ; Kim, Jin Woong ; Jo, Hoon Gil ; Kim, Youe Ree ; Lee, Young Hwan ; Yoon, Kwon-Ha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-963f9b4f3f93ae28ee831556361001491cfdfb3d38a2d79f0ee56e55411fe043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abdomen</topic><topic>Archives & records</topic><topic>Bias</topic><topic>Biopsy</topic><topic>Clinical medicine</topic><topic>Hepatitis</topic><topic>Liver cirrhosis</topic><topic>Liver diseases</topic><topic>Methods</topic><topic>Patients</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Tae-Hoon</creatorcontrib><creatorcontrib>Jeong, Chang-Won</creatorcontrib><creatorcontrib>Kim, Ji Eon</creatorcontrib><creatorcontrib>Kim, Jin Woong</creatorcontrib><creatorcontrib>Jo, Hoon Gil</creatorcontrib><creatorcontrib>Kim, Youe Ree</creatorcontrib><creatorcontrib>Lee, Young Hwan</creatorcontrib><creatorcontrib>Yoon, Kwon-Ha</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Tae-Hoon</au><au>Jeong, Chang-Won</au><au>Kim, Ji Eon</au><au>Kim, Jin Woong</au><au>Jo, Hoon Gil</au><au>Kim, Youe Ree</au><au>Lee, Young Hwan</au><au>Yoon, Kwon-Ha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2021-04-15</date><risdate>2021</risdate><volume>10</volume><issue>8</issue><spage>1697</spage><pages>1697-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>Image-based quantitative methods for liver heterogeneity (L
) and nodularity (L
) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L
and L
and compared L
and L
according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying L
and L
were bias correction, contour detection, liver segmentation, and L
and L
measurements. L
and L
scores among fibrosis stages (F0-F3) were compared using ANOVA with Tukey's test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean L
scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively (
< 0.001). The mean L
scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively (
< 0.001). The combined L
× L
scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively (
< 0.001). The AUROCs of L
, L
, and L
× L
for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of L
and L
scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>33920804</pmid><doi>10.3390/jcm10081697</doi><orcidid>https://orcid.org/0000-0003-4725-5687</orcidid><orcidid>https://orcid.org/0000-0002-2634-8510</orcidid><orcidid>https://orcid.org/0000-0002-2552-0665</orcidid><oa>free_for_read</oa></addata></record> |
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source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
subjects | Abdomen Archives & records Bias Biopsy Clinical medicine Hepatitis Liver cirrhosis Liver diseases Methods Patients Software |
title | Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard |
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