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Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard
Purpose To compare the diagnostic performance of T1 mapping and MR elastography (MRE) for staging of hepatic fibrosis and grading inflammation with histopathology as standard of reference. Methods 68 patients with various liver diseases undergoing liver biopsy for suspected fibrosis or with an estab...
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| Published in: | Abdominal imaging 2022-11, Vol.47 (11), p.3746-3757 |
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| container_title | Abdominal imaging |
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| creator | von Ulmenstein, Sophie Bogdanovic, Sanja Honcharova-Biletska, Hanna Blümel, Sena Deibel, Ansgar R. Segna, Daniel Jüngst, Christoph Weber, Achim Kuntzen, Thomas Gubler, Christoph Reiner, Cäcilia S. |
| description | Purpose
To compare the diagnostic performance of T1 mapping and MR elastography (MRE) for staging of hepatic fibrosis and grading inflammation with histopathology as standard of reference.
Methods
68 patients with various liver diseases undergoing liver biopsy for suspected fibrosis or with an established diagnosis of cirrhosis prospectively underwent look-locker inversion recovery T1 mapping and MRE. T1 relaxation time and liver stiffness (LS) were measured by two readers. Hepatic fibrosis and inflammation were histopathologically staged according to a standardized fibrosis (F0–F4) and inflammation (A0–A2) score. For statistical analysis, independent
t
test, and Mann–Whitney
U
test and ROC analysis were performed, the latter to determine the performance of T1 mapping and MRE for fibrosis staging and inflammation grading, as compared to histopathology.
Results
Histopathological analysis diagnosed 9 patients with F0 (13.2%), 21 with F1 (30.9%), 11 with F2 (16.2%), 10 with F3 (14.7%), and 17 with F4 (25.0%). Both T1 mapping and MRE showed significantly higher values for patients with significant fibrosis (F0-1 vs. F2-4; T1 mapping
p
|
| doi_str_mv | 10.1007/s00261-022-03647-6 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9560941</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2724417714</sourcerecordid><originalsourceid>FETCH-LOGICAL-c404t-3319589392a896b76c1ee50a2d2226b59087a14017f29998d7f8286e656389843</originalsourceid><addsrcrecordid>eNp9kc9u1DAQxiMEolXpC3BAlrhwCYztxLEvSFUFLVIlLuVsebOTxG1iB0-Wah-Ft8XblFI4cPLI85tv_nxF8ZrDew7QfCAAoXgJQpQgVdWU6llxLKRSJUCtnz-Jj4pTohsA4KrmXNQviyOpQGpVyePi5xkREk0YFhY7NuDsFt-yzm9SJE_MhS3zoRvdNOVEDOzOLwMbY7wtx9jeYmLXnE1unn3o7-HJ9QEPEgkpBhdaZDg6WmKf3Dzs1_rB54_caYhj7PfMUaY7THigackyLm1fFS86NxKePrwnxbfPn67PL8urrxdfzs-uyraCaiml5KbWRhrhtFGbRrUcsQYntkIItakN6MbxCnjTCWOM3jadFlqhqpXURlfypPi46s67zYTbNl8iudHOyU8u7W103v6dCX6wffxhTa3AVDwLvHsQSPH7Dmmxk6cWx9EFjDuyogEtap0nzOjbf9CbuEshr5cpUVW8afhhIrFSbfaA8mUeh-FgD-bb1Xybzbf35luVi948XeOx5LfVGZArQDkVekx_ev9H9hdI5rx-</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2724417714</pqid></control><display><type>article</type><title>Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard</title><source>Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List</source><creator>von Ulmenstein, Sophie ; Bogdanovic, Sanja ; Honcharova-Biletska, Hanna ; Blümel, Sena ; Deibel, Ansgar R. ; Segna, Daniel ; Jüngst, Christoph ; Weber, Achim ; Kuntzen, Thomas ; Gubler, Christoph ; Reiner, Cäcilia S.</creator><creatorcontrib>von Ulmenstein, Sophie ; Bogdanovic, Sanja ; Honcharova-Biletska, Hanna ; Blümel, Sena ; Deibel, Ansgar R. ; Segna, Daniel ; Jüngst, Christoph ; Weber, Achim ; Kuntzen, Thomas ; Gubler, Christoph ; Reiner, Cäcilia S.</creatorcontrib><description>Purpose
To compare the diagnostic performance of T1 mapping and MR elastography (MRE) for staging of hepatic fibrosis and grading inflammation with histopathology as standard of reference.
Methods
68 patients with various liver diseases undergoing liver biopsy for suspected fibrosis or with an established diagnosis of cirrhosis prospectively underwent look-locker inversion recovery T1 mapping and MRE. T1 relaxation time and liver stiffness (LS) were measured by two readers. Hepatic fibrosis and inflammation were histopathologically staged according to a standardized fibrosis (F0–F4) and inflammation (A0–A2) score. For statistical analysis, independent
t
test, and Mann–Whitney
U
test and ROC analysis were performed, the latter to determine the performance of T1 mapping and MRE for fibrosis staging and inflammation grading, as compared to histopathology.
Results
Histopathological analysis diagnosed 9 patients with F0 (13.2%), 21 with F1 (30.9%), 11 with F2 (16.2%), 10 with F3 (14.7%), and 17 with F4 (25.0%). Both T1 mapping and MRE showed significantly higher values for patients with significant fibrosis (F0-1 vs. F2-4; T1 mapping
p
< 0.0001, MRE
p
< 0.0001) as well as for patients with severe fibrosis or cirrhosis (F0-2 vs. F3-4; T1 mapping
p
< 0.0001, MRE
p
< 0.0001). T1 values and MRE LS were significantly higher in patients with inflammation (A0 vs. A1-2, both
p
= 0.01). T1 mapping showed a tendency toward lower diagnostic performance without statistical significance for significant fibrosis (F2-4) (AUC 0.79 vs. 0.91,
p
= 0.06) and with a significant difference compared to MRE for severe fibrosis (F3-4) (AUC 0.79 vs. 0.94,
p
= 0.03). For both T1 mapping and MRE, diagnostic performance for diagnosing hepatic inflammation (A1-2) was low (AUC 0.72 vs. 0.71, respectively).
Conclusion
T1 mapping is able to diagnose hepatic fibrosis, however, with a tendency toward lower diagnostic performance compared to MRE and thus may be used as an alternative to MRE for diagnosing hepatic fibrosis, whenever MRE is not available or likely to fail due to intrinsic factors of the patient. Both T1 mapping and MRE are probably not sufficient as standalone methods to diagnose hepatic inflammation with relatively low diagnostic accuracy.</description><identifier>ISSN: 2366-0058</identifier><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-022-03647-6</identifier><identifier>PMID: 36038643</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Biopsy ; Cirrhosis ; Diagnostic systems ; Elasticity Imaging Techniques - methods ; Fibrosis ; Gastroenterology ; Hepatobiliary ; Hepatology ; Histopathology ; Humans ; Imaging ; Inflammation ; Inflammation - diagnostic imaging ; Inflammation - pathology ; Liver ; Liver - diagnostic imaging ; Liver - pathology ; Liver cirrhosis ; Liver Cirrhosis - diagnostic imaging ; Liver Cirrhosis - pathology ; Liver diseases ; Magnetic resonance ; Magnetic Resonance Imaging - methods ; Mapping ; Medicine ; Medicine & Public Health ; Radiology ; Reference Standards ; Relaxation time ; Statistical analysis ; Stiffness</subject><ispartof>Abdominal imaging, 2022-11, Vol.47 (11), p.3746-3757</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-3319589392a896b76c1ee50a2d2226b59087a14017f29998d7f8286e656389843</citedby><cites>FETCH-LOGICAL-c404t-3319589392a896b76c1ee50a2d2226b59087a14017f29998d7f8286e656389843</cites><orcidid>0000-0002-0902-192X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36038643$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>von Ulmenstein, Sophie</creatorcontrib><creatorcontrib>Bogdanovic, Sanja</creatorcontrib><creatorcontrib>Honcharova-Biletska, Hanna</creatorcontrib><creatorcontrib>Blümel, Sena</creatorcontrib><creatorcontrib>Deibel, Ansgar R.</creatorcontrib><creatorcontrib>Segna, Daniel</creatorcontrib><creatorcontrib>Jüngst, Christoph</creatorcontrib><creatorcontrib>Weber, Achim</creatorcontrib><creatorcontrib>Kuntzen, Thomas</creatorcontrib><creatorcontrib>Gubler, Christoph</creatorcontrib><creatorcontrib>Reiner, Cäcilia S.</creatorcontrib><title>Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
To compare the diagnostic performance of T1 mapping and MR elastography (MRE) for staging of hepatic fibrosis and grading inflammation with histopathology as standard of reference.
Methods
68 patients with various liver diseases undergoing liver biopsy for suspected fibrosis or with an established diagnosis of cirrhosis prospectively underwent look-locker inversion recovery T1 mapping and MRE. T1 relaxation time and liver stiffness (LS) were measured by two readers. Hepatic fibrosis and inflammation were histopathologically staged according to a standardized fibrosis (F0–F4) and inflammation (A0–A2) score. For statistical analysis, independent
t
test, and Mann–Whitney
U
test and ROC analysis were performed, the latter to determine the performance of T1 mapping and MRE for fibrosis staging and inflammation grading, as compared to histopathology.
Results
Histopathological analysis diagnosed 9 patients with F0 (13.2%), 21 with F1 (30.9%), 11 with F2 (16.2%), 10 with F3 (14.7%), and 17 with F4 (25.0%). Both T1 mapping and MRE showed significantly higher values for patients with significant fibrosis (F0-1 vs. F2-4; T1 mapping
p
< 0.0001, MRE
p
< 0.0001) as well as for patients with severe fibrosis or cirrhosis (F0-2 vs. F3-4; T1 mapping
p
< 0.0001, MRE
p
< 0.0001). T1 values and MRE LS were significantly higher in patients with inflammation (A0 vs. A1-2, both
p
= 0.01). T1 mapping showed a tendency toward lower diagnostic performance without statistical significance for significant fibrosis (F2-4) (AUC 0.79 vs. 0.91,
p
= 0.06) and with a significant difference compared to MRE for severe fibrosis (F3-4) (AUC 0.79 vs. 0.94,
p
= 0.03). For both T1 mapping and MRE, diagnostic performance for diagnosing hepatic inflammation (A1-2) was low (AUC 0.72 vs. 0.71, respectively).
Conclusion
T1 mapping is able to diagnose hepatic fibrosis, however, with a tendency toward lower diagnostic performance compared to MRE and thus may be used as an alternative to MRE for diagnosing hepatic fibrosis, whenever MRE is not available or likely to fail due to intrinsic factors of the patient. Both T1 mapping and MRE are probably not sufficient as standalone methods to diagnose hepatic inflammation with relatively low diagnostic accuracy.</description><subject>Biopsy</subject><subject>Cirrhosis</subject><subject>Diagnostic systems</subject><subject>Elasticity Imaging Techniques - methods</subject><subject>Fibrosis</subject><subject>Gastroenterology</subject><subject>Hepatobiliary</subject><subject>Hepatology</subject><subject>Histopathology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Inflammation</subject><subject>Inflammation - diagnostic imaging</subject><subject>Inflammation - pathology</subject><subject>Liver</subject><subject>Liver - diagnostic imaging</subject><subject>Liver - pathology</subject><subject>Liver cirrhosis</subject><subject>Liver Cirrhosis - diagnostic imaging</subject><subject>Liver Cirrhosis - pathology</subject><subject>Liver diseases</subject><subject>Magnetic resonance</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Mapping</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Radiology</subject><subject>Reference Standards</subject><subject>Relaxation time</subject><subject>Statistical analysis</subject><subject>Stiffness</subject><issn>2366-0058</issn><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc9u1DAQxiMEolXpC3BAlrhwCYztxLEvSFUFLVIlLuVsebOTxG1iB0-Wah-Ft8XblFI4cPLI85tv_nxF8ZrDew7QfCAAoXgJQpQgVdWU6llxLKRSJUCtnz-Jj4pTohsA4KrmXNQviyOpQGpVyePi5xkREk0YFhY7NuDsFt-yzm9SJE_MhS3zoRvdNOVEDOzOLwMbY7wtx9jeYmLXnE1unn3o7-HJ9QEPEgkpBhdaZDg6WmKf3Dzs1_rB54_caYhj7PfMUaY7THigackyLm1fFS86NxKePrwnxbfPn67PL8urrxdfzs-uyraCaiml5KbWRhrhtFGbRrUcsQYntkIItakN6MbxCnjTCWOM3jadFlqhqpXURlfypPi46s67zYTbNl8iudHOyU8u7W103v6dCX6wffxhTa3AVDwLvHsQSPH7Dmmxk6cWx9EFjDuyogEtap0nzOjbf9CbuEshr5cpUVW8afhhIrFSbfaA8mUeh-FgD-bb1Xybzbf35luVi948XeOx5LfVGZArQDkVekx_ev9H9hdI5rx-</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>von Ulmenstein, Sophie</creator><creator>Bogdanovic, Sanja</creator><creator>Honcharova-Biletska, Hanna</creator><creator>Blümel, Sena</creator><creator>Deibel, Ansgar R.</creator><creator>Segna, Daniel</creator><creator>Jüngst, Christoph</creator><creator>Weber, Achim</creator><creator>Kuntzen, Thomas</creator><creator>Gubler, Christoph</creator><creator>Reiner, Cäcilia S.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0902-192X</orcidid></search><sort><creationdate>20221101</creationdate><title>Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard</title><author>von Ulmenstein, Sophie ; Bogdanovic, Sanja ; Honcharova-Biletska, Hanna ; Blümel, Sena ; Deibel, Ansgar R. ; Segna, Daniel ; Jüngst, Christoph ; Weber, Achim ; Kuntzen, Thomas ; Gubler, Christoph ; Reiner, Cäcilia S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-3319589392a896b76c1ee50a2d2226b59087a14017f29998d7f8286e656389843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biopsy</topic><topic>Cirrhosis</topic><topic>Diagnostic systems</topic><topic>Elasticity Imaging Techniques - methods</topic><topic>Fibrosis</topic><topic>Gastroenterology</topic><topic>Hepatobiliary</topic><topic>Hepatology</topic><topic>Histopathology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Inflammation</topic><topic>Inflammation - diagnostic imaging</topic><topic>Inflammation - pathology</topic><topic>Liver</topic><topic>Liver - diagnostic imaging</topic><topic>Liver - pathology</topic><topic>Liver cirrhosis</topic><topic>Liver Cirrhosis - diagnostic imaging</topic><topic>Liver Cirrhosis - pathology</topic><topic>Liver diseases</topic><topic>Magnetic resonance</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Mapping</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Radiology</topic><topic>Reference Standards</topic><topic>Relaxation time</topic><topic>Statistical analysis</topic><topic>Stiffness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>von Ulmenstein, Sophie</creatorcontrib><creatorcontrib>Bogdanovic, Sanja</creatorcontrib><creatorcontrib>Honcharova-Biletska, Hanna</creatorcontrib><creatorcontrib>Blümel, Sena</creatorcontrib><creatorcontrib>Deibel, Ansgar R.</creatorcontrib><creatorcontrib>Segna, Daniel</creatorcontrib><creatorcontrib>Jüngst, Christoph</creatorcontrib><creatorcontrib>Weber, Achim</creatorcontrib><creatorcontrib>Kuntzen, Thomas</creatorcontrib><creatorcontrib>Gubler, Christoph</creatorcontrib><creatorcontrib>Reiner, Cäcilia S.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>von Ulmenstein, Sophie</au><au>Bogdanovic, Sanja</au><au>Honcharova-Biletska, Hanna</au><au>Blümel, Sena</au><au>Deibel, Ansgar R.</au><au>Segna, Daniel</au><au>Jüngst, Christoph</au><au>Weber, Achim</au><au>Kuntzen, Thomas</au><au>Gubler, Christoph</au><au>Reiner, Cäcilia S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>47</volume><issue>11</issue><spage>3746</spage><epage>3757</epage><pages>3746-3757</pages><issn>2366-0058</issn><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
To compare the diagnostic performance of T1 mapping and MR elastography (MRE) for staging of hepatic fibrosis and grading inflammation with histopathology as standard of reference.
Methods
68 patients with various liver diseases undergoing liver biopsy for suspected fibrosis or with an established diagnosis of cirrhosis prospectively underwent look-locker inversion recovery T1 mapping and MRE. T1 relaxation time and liver stiffness (LS) were measured by two readers. Hepatic fibrosis and inflammation were histopathologically staged according to a standardized fibrosis (F0–F4) and inflammation (A0–A2) score. For statistical analysis, independent
t
test, and Mann–Whitney
U
test and ROC analysis were performed, the latter to determine the performance of T1 mapping and MRE for fibrosis staging and inflammation grading, as compared to histopathology.
Results
Histopathological analysis diagnosed 9 patients with F0 (13.2%), 21 with F1 (30.9%), 11 with F2 (16.2%), 10 with F3 (14.7%), and 17 with F4 (25.0%). Both T1 mapping and MRE showed significantly higher values for patients with significant fibrosis (F0-1 vs. F2-4; T1 mapping
p
< 0.0001, MRE
p
< 0.0001) as well as for patients with severe fibrosis or cirrhosis (F0-2 vs. F3-4; T1 mapping
p
< 0.0001, MRE
p
< 0.0001). T1 values and MRE LS were significantly higher in patients with inflammation (A0 vs. A1-2, both
p
= 0.01). T1 mapping showed a tendency toward lower diagnostic performance without statistical significance for significant fibrosis (F2-4) (AUC 0.79 vs. 0.91,
p
= 0.06) and with a significant difference compared to MRE for severe fibrosis (F3-4) (AUC 0.79 vs. 0.94,
p
= 0.03). For both T1 mapping and MRE, diagnostic performance for diagnosing hepatic inflammation (A1-2) was low (AUC 0.72 vs. 0.71, respectively).
Conclusion
T1 mapping is able to diagnose hepatic fibrosis, however, with a tendency toward lower diagnostic performance compared to MRE and thus may be used as an alternative to MRE for diagnosing hepatic fibrosis, whenever MRE is not available or likely to fail due to intrinsic factors of the patient. Both T1 mapping and MRE are probably not sufficient as standalone methods to diagnose hepatic inflammation with relatively low diagnostic accuracy.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>36038643</pmid><doi>10.1007/s00261-022-03647-6</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-0902-192X</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List |
| subjects | Biopsy Cirrhosis Diagnostic systems Elasticity Imaging Techniques - methods Fibrosis Gastroenterology Hepatobiliary Hepatology Histopathology Humans Imaging Inflammation Inflammation - diagnostic imaging Inflammation - pathology Liver Liver - diagnostic imaging Liver - pathology Liver cirrhosis Liver Cirrhosis - diagnostic imaging Liver Cirrhosis - pathology Liver diseases Magnetic resonance Magnetic Resonance Imaging - methods Mapping Medicine Medicine & Public Health Radiology Reference Standards Relaxation time Statistical analysis Stiffness |
| title | Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard |
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