Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients
Purpose Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the globi pallidi . The purpose of this study was to evaluate the performance of MRI-based radiomic features for diagnosing and grading chronic HE...
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Veröffentlicht in: | Neuroradiology 2022-10, Vol.64 (10), p.1969-1978 |
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container_title | Neuroradiology |
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creator | Sparacia, Gianvincenzo Parla, Giuseppe Cannella, Roberto Mamone, Giuseppe Petridis, Ioannis Maruzzelli, Luigi Re, Vincenzina Lo Shahriari, Mona Iaia, Alberto Comelli, Albert Miraglia, Roberto Luca, Angelo |
description | Purpose
Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the
globi pallidi
. The purpose of this study was to evaluate the performance of MRI-based radiomic features for diagnosing and grading chronic HE in adult patients affected by cirrhosis.
Methods
Adult patients with and without cirrhosis underwent brain MRI with identical imaging protocol on a 3T scanner. Patients without history of chronic liver disease were the control population. HE grading was based on underlying liver disease, severity of clinical manifestation, and number of encephalopathic episodes. Texture analysis was performed on axial T1-weighted images on bilateral lentiform nuclei at the level of the foramina of Monro. Diagnostic performance of texture analysis for the diagnosis and grading of HE was assessed by calculating the area under the receiver operating characteristics (AUROC) with 95% confidence interval (CI).
Results
The final study population consisted of 124 patients, 70 cirrhotic patients, and 54 non-cirrhotic controls. Thirty-eight patients had history of HE with 22 having an HE grade > 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90;
P
|
doi_str_mv | 10.1007/s00234-022-02949-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9474333</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2658226910</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-28cc2e7b5f98ec3edc261965e72ea8eb72624de829b7cc845d60fbcc488e44123</originalsourceid><addsrcrecordid>eNp9kUuPFCEUhYnROG3rH3BhSNzMphQudAEbE534SiZxo2tCUbe6mFRDC1Vj5t8PZY_jYyEJIXC_cy43h5DnnL3ijKnXhTEQsmEAdRtpGnhANlwKaLgB9pBsal03wkh2Rp6UcsUYE0qox-RM7KTWzKgNuX6XXYj04PYR5-BpxpKiix5pqG8h7ml2fUiH4Asd0M1LBagrJfngZuzpjzCPdMSjW8VYdcfRTalexxtafV2_TDP1IecxrcTKYZzLU_JocFPBZ3fnlnz78P7rxafm8svHzxdvLxsvlZwb0N4Dqm43GI1eYO-h5abdoQJ0GjsFLcgeNZhOea_lrm_Z0Hlfp0MpOYgteXPyPS7docpr7-wme8x1unxjkwv270oMo92na2tqf1HXlpzfGeT0fcEy20MoHqfJRUxLsdDuNEBrOKvoy3_Qq7TkWMezoLjkumXt-iM4UT6nUjIO95_hzK6x2lOstsZqf8ZqV9GLP8e4l_zKsQLiBJRainvMv3v_x_YWIHaxSg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2714186062</pqid></control><display><type>article</type><title>Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients</title><source>SpringerLink Journals</source><creator>Sparacia, Gianvincenzo ; Parla, Giuseppe ; Cannella, Roberto ; Mamone, Giuseppe ; Petridis, Ioannis ; Maruzzelli, Luigi ; Re, Vincenzina Lo ; Shahriari, Mona ; Iaia, Alberto ; Comelli, Albert ; Miraglia, Roberto ; Luca, Angelo</creator><creatorcontrib>Sparacia, Gianvincenzo ; Parla, Giuseppe ; Cannella, Roberto ; Mamone, Giuseppe ; Petridis, Ioannis ; Maruzzelli, Luigi ; Re, Vincenzina Lo ; Shahriari, Mona ; Iaia, Alberto ; Comelli, Albert ; Miraglia, Roberto ; Luca, Angelo</creatorcontrib><description>Purpose
Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the
globi pallidi
. The purpose of this study was to evaluate the performance of MRI-based radiomic features for diagnosing and grading chronic HE in adult patients affected by cirrhosis.
Methods
Adult patients with and without cirrhosis underwent brain MRI with identical imaging protocol on a 3T scanner. Patients without history of chronic liver disease were the control population. HE grading was based on underlying liver disease, severity of clinical manifestation, and number of encephalopathic episodes. Texture analysis was performed on axial T1-weighted images on bilateral lentiform nuclei at the level of the foramina of Monro. Diagnostic performance of texture analysis for the diagnosis and grading of HE was assessed by calculating the area under the receiver operating characteristics (AUROC) with 95% confidence interval (CI).
Results
The final study population consisted of 124 patients, 70 cirrhotic patients, and 54 non-cirrhotic controls. Thirty-eight patients had history of HE with 22 having an HE grade > 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90;
P
< .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89;
P
< .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93;
P
< .0001, 95% sensitivity, 57% specificity).
Conclusion
In cirrhotic patients, MR radiomic is effective in predicting the presence of chronic HE and in grading its severity.</description><identifier>ISSN: 0028-3940</identifier><identifier>EISSN: 1432-1920</identifier><identifier>DOI: 10.1007/s00234-022-02949-2</identifier><identifier>PMID: 35488097</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Brain ; Cirrhosis ; Diagnostic Neuroradiology ; Disease control ; Hepatic encephalopathy ; Imaging ; Liver ; Liver cirrhosis ; Liver diseases ; Magnetic resonance imaging ; Medical imaging ; Medicine ; Medicine & Public Health ; Neuroimaging ; Neurology ; Neuroradiology ; Neurosciences ; Neurosurgery ; Patients ; Performance evaluation ; Population studies ; Radiology ; Radiomics ; Resonance ; Sensitivity ; Texture</subject><ispartof>Neuroradiology, 2022-10, Vol.64 (10), p.1969-1978</ispartof><rights>The Author(s) 2022. corrected publication 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. corrected publication 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><rights>The Author(s) 2022, corrected publication 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-28cc2e7b5f98ec3edc261965e72ea8eb72624de829b7cc845d60fbcc488e44123</citedby><cites>FETCH-LOGICAL-c474t-28cc2e7b5f98ec3edc261965e72ea8eb72624de829b7cc845d60fbcc488e44123</cites><orcidid>0000-0002-4787-1634</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00234-022-02949-2$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00234-022-02949-2$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35488097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sparacia, Gianvincenzo</creatorcontrib><creatorcontrib>Parla, Giuseppe</creatorcontrib><creatorcontrib>Cannella, Roberto</creatorcontrib><creatorcontrib>Mamone, Giuseppe</creatorcontrib><creatorcontrib>Petridis, Ioannis</creatorcontrib><creatorcontrib>Maruzzelli, Luigi</creatorcontrib><creatorcontrib>Re, Vincenzina Lo</creatorcontrib><creatorcontrib>Shahriari, Mona</creatorcontrib><creatorcontrib>Iaia, Alberto</creatorcontrib><creatorcontrib>Comelli, Albert</creatorcontrib><creatorcontrib>Miraglia, Roberto</creatorcontrib><creatorcontrib>Luca, Angelo</creatorcontrib><title>Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients</title><title>Neuroradiology</title><addtitle>Neuroradiology</addtitle><addtitle>Neuroradiology</addtitle><description>Purpose
Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the
globi pallidi
. The purpose of this study was to evaluate the performance of MRI-based radiomic features for diagnosing and grading chronic HE in adult patients affected by cirrhosis.
Methods
Adult patients with and without cirrhosis underwent brain MRI with identical imaging protocol on a 3T scanner. Patients without history of chronic liver disease were the control population. HE grading was based on underlying liver disease, severity of clinical manifestation, and number of encephalopathic episodes. Texture analysis was performed on axial T1-weighted images on bilateral lentiform nuclei at the level of the foramina of Monro. Diagnostic performance of texture analysis for the diagnosis and grading of HE was assessed by calculating the area under the receiver operating characteristics (AUROC) with 95% confidence interval (CI).
Results
The final study population consisted of 124 patients, 70 cirrhotic patients, and 54 non-cirrhotic controls. Thirty-eight patients had history of HE with 22 having an HE grade > 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90;
P
< .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89;
P
< .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93;
P
< .0001, 95% sensitivity, 57% specificity).
Conclusion
In cirrhotic patients, MR radiomic is effective in predicting the presence of chronic HE and in grading its severity.</description><subject>Brain</subject><subject>Cirrhosis</subject><subject>Diagnostic Neuroradiology</subject><subject>Disease control</subject><subject>Hepatic encephalopathy</subject><subject>Imaging</subject><subject>Liver</subject><subject>Liver cirrhosis</subject><subject>Liver diseases</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>Patients</subject><subject>Performance evaluation</subject><subject>Population studies</subject><subject>Radiology</subject><subject>Radiomics</subject><subject>Resonance</subject><subject>Sensitivity</subject><subject>Texture</subject><issn>0028-3940</issn><issn>1432-1920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kUuPFCEUhYnROG3rH3BhSNzMphQudAEbE534SiZxo2tCUbe6mFRDC1Vj5t8PZY_jYyEJIXC_cy43h5DnnL3ijKnXhTEQsmEAdRtpGnhANlwKaLgB9pBsal03wkh2Rp6UcsUYE0qox-RM7KTWzKgNuX6XXYj04PYR5-BpxpKiix5pqG8h7ml2fUiH4Asd0M1LBagrJfngZuzpjzCPdMSjW8VYdcfRTalexxtafV2_TDP1IecxrcTKYZzLU_JocFPBZ3fnlnz78P7rxafm8svHzxdvLxsvlZwb0N4Dqm43GI1eYO-h5abdoQJ0GjsFLcgeNZhOea_lrm_Z0Hlfp0MpOYgteXPyPS7docpr7-wme8x1unxjkwv270oMo92na2tqf1HXlpzfGeT0fcEy20MoHqfJRUxLsdDuNEBrOKvoy3_Qq7TkWMezoLjkumXt-iM4UT6nUjIO95_hzK6x2lOstsZqf8ZqV9GLP8e4l_zKsQLiBJRainvMv3v_x_YWIHaxSg</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Sparacia, Gianvincenzo</creator><creator>Parla, Giuseppe</creator><creator>Cannella, Roberto</creator><creator>Mamone, Giuseppe</creator><creator>Petridis, Ioannis</creator><creator>Maruzzelli, Luigi</creator><creator>Re, Vincenzina Lo</creator><creator>Shahriari, Mona</creator><creator>Iaia, Alberto</creator><creator>Comelli, Albert</creator><creator>Miraglia, Roberto</creator><creator>Luca, Angelo</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</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>8G5</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>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</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>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4787-1634</orcidid></search><sort><creationdate>20221001</creationdate><title>Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients</title><author>Sparacia, Gianvincenzo ; Parla, Giuseppe ; Cannella, Roberto ; Mamone, Giuseppe ; Petridis, Ioannis ; Maruzzelli, Luigi ; Re, Vincenzina Lo ; Shahriari, Mona ; Iaia, Alberto ; Comelli, Albert ; Miraglia, Roberto ; Luca, Angelo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-28cc2e7b5f98ec3edc261965e72ea8eb72624de829b7cc845d60fbcc488e44123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Brain</topic><topic>Cirrhosis</topic><topic>Diagnostic Neuroradiology</topic><topic>Disease control</topic><topic>Hepatic encephalopathy</topic><topic>Imaging</topic><topic>Liver</topic><topic>Liver cirrhosis</topic><topic>Liver diseases</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neuroimaging</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>Patients</topic><topic>Performance evaluation</topic><topic>Population studies</topic><topic>Radiology</topic><topic>Radiomics</topic><topic>Resonance</topic><topic>Sensitivity</topic><topic>Texture</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sparacia, Gianvincenzo</creatorcontrib><creatorcontrib>Parla, Giuseppe</creatorcontrib><creatorcontrib>Cannella, Roberto</creatorcontrib><creatorcontrib>Mamone, Giuseppe</creatorcontrib><creatorcontrib>Petridis, Ioannis</creatorcontrib><creatorcontrib>Maruzzelli, Luigi</creatorcontrib><creatorcontrib>Re, Vincenzina Lo</creatorcontrib><creatorcontrib>Shahriari, Mona</creatorcontrib><creatorcontrib>Iaia, Alberto</creatorcontrib><creatorcontrib>Comelli, Albert</creatorcontrib><creatorcontrib>Miraglia, Roberto</creatorcontrib><creatorcontrib>Luca, Angelo</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</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 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UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Neuroradiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sparacia, Gianvincenzo</au><au>Parla, Giuseppe</au><au>Cannella, Roberto</au><au>Mamone, Giuseppe</au><au>Petridis, Ioannis</au><au>Maruzzelli, Luigi</au><au>Re, Vincenzina Lo</au><au>Shahriari, Mona</au><au>Iaia, Alberto</au><au>Comelli, Albert</au><au>Miraglia, Roberto</au><au>Luca, Angelo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients</atitle><jtitle>Neuroradiology</jtitle><stitle>Neuroradiology</stitle><addtitle>Neuroradiology</addtitle><date>2022-10-01</date><risdate>2022</risdate><volume>64</volume><issue>10</issue><spage>1969</spage><epage>1978</epage><pages>1969-1978</pages><issn>0028-3940</issn><eissn>1432-1920</eissn><abstract>Purpose
Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the
globi pallidi
. The purpose of this study was to evaluate the performance of MRI-based radiomic features for diagnosing and grading chronic HE in adult patients affected by cirrhosis.
Methods
Adult patients with and without cirrhosis underwent brain MRI with identical imaging protocol on a 3T scanner. Patients without history of chronic liver disease were the control population. HE grading was based on underlying liver disease, severity of clinical manifestation, and number of encephalopathic episodes. Texture analysis was performed on axial T1-weighted images on bilateral lentiform nuclei at the level of the foramina of Monro. Diagnostic performance of texture analysis for the diagnosis and grading of HE was assessed by calculating the area under the receiver operating characteristics (AUROC) with 95% confidence interval (CI).
Results
The final study population consisted of 124 patients, 70 cirrhotic patients, and 54 non-cirrhotic controls. Thirty-eight patients had history of HE with 22 having an HE grade > 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90;
P
< .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89;
P
< .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93;
P
< .0001, 95% sensitivity, 57% specificity).
Conclusion
In cirrhotic patients, MR radiomic is effective in predicting the presence of chronic HE and in grading its severity.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35488097</pmid><doi>10.1007/s00234-022-02949-2</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4787-1634</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Brain Cirrhosis Diagnostic Neuroradiology Disease control Hepatic encephalopathy Imaging Liver Liver cirrhosis Liver diseases Magnetic resonance imaging Medical imaging Medicine Medicine & Public Health Neuroimaging Neurology Neuroradiology Neurosciences Neurosurgery Patients Performance evaluation Population studies Radiology Radiomics Resonance Sensitivity Texture |
title | Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients |
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