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
Hauptverfasser: 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
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container_end_page 1978
container_issue 10
container_start_page 1969
container_title Neuroradiology
container_volume 64
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
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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 &gt; 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90; P  &lt; .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89; P  &lt; .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93; P  &lt; .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 &amp; 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 &gt; 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90; P  &lt; .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89; P  &lt; .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93; P  &lt; .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 &amp; 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 &amp; 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 &amp; 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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 &gt; 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90; P  &lt; .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89; P  &lt; .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93; P  &lt; .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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