CT-based visual grading system for assessment of hepatic steatosis: diagnostic performance and interobserver agreement

Background Hepatic steatosis (HS) can be comprehensively assessed by visually comparing the hepatic and vessel attenuation on unenhanced computed tomography (CT). We aimed to evaluate the reliability and reproducibility of a CT-based visual grading system (VGS) for comprehensive assessment of HS. Me...

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Veröffentlicht in:Hepatology international 2022-10, Vol.16 (5), p.1075-1084
Hauptverfasser: Park, Hyo Jung, Kim, Kyoung Won, Kwon, Heon-Ju, Lee, Sunyoung, Kim, Dong Wook, Moon, Hye Hyeon, Song, Gi-Won, Lee, Sung-Gyu
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container_end_page 1084
container_issue 5
container_start_page 1075
container_title Hepatology international
container_volume 16
creator Park, Hyo Jung
Kim, Kyoung Won
Kwon, Heon-Ju
Lee, Sunyoung
Kim, Dong Wook
Moon, Hye Hyeon
Song, Gi-Won
Lee, Sung-Gyu
description Background Hepatic steatosis (HS) can be comprehensively assessed by visually comparing the hepatic and vessel attenuation on unenhanced computed tomography (CT). We aimed to evaluate the reliability and reproducibility of a CT-based visual grading system (VGS) for comprehensive assessment of HS. Methods In this retrospective study, a four-point VGS based on the visual comparison of liver and hepatic vessels was validated by six reviewers with diverse clinical experience using the unenhanced CT images of 717 potential liver donors. The diagnostic performance of VGS and quantitative indices (difference and ratio of the hepatic and splenic attenuation) to diagnose HS were evaluated using multi-reader multi-case receiver operating characteristics (ROC) analysis (reference: pathology). The interobserver agreement was assessed using Fleiss κ statistics. Results Using the VGS, all six reviewers showed areas under the ROC curves (AUROCs) higher than 0.9 for diagnosing total steatosis (TS) ≥ 30%, macrovesicular steatosis (MaS) ≥ 30%, and MaS ≥ 10%. No difference was noted between the AUROCs of the VGS and quantitative indices ( p  ≥ 0.1). The reviewers showed substantial agreement (Fleiss κ , 0.61). Most discrepancies occurred between the two lowest grades of VGS (81.5%; 233/283), in which most subjects (97.0%; 226/233) had a MaS 
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We aimed to evaluate the reliability and reproducibility of a CT-based visual grading system (VGS) for comprehensive assessment of HS. Methods In this retrospective study, a four-point VGS based on the visual comparison of liver and hepatic vessels was validated by six reviewers with diverse clinical experience using the unenhanced CT images of 717 potential liver donors. The diagnostic performance of VGS and quantitative indices (difference and ratio of the hepatic and splenic attenuation) to diagnose HS were evaluated using multi-reader multi-case receiver operating characteristics (ROC) analysis (reference: pathology). The interobserver agreement was assessed using Fleiss κ statistics. Results Using the VGS, all six reviewers showed areas under the ROC curves (AUROCs) higher than 0.9 for diagnosing total steatosis (TS) ≥ 30%, macrovesicular steatosis (MaS) ≥ 30%, and MaS ≥ 10%. No difference was noted between the AUROCs of the VGS and quantitative indices ( p  ≥ 0.1). The reviewers showed substantial agreement (Fleiss κ , 0.61). Most discrepancies occurred between the two lowest grades of VGS (81.5%; 233/283), in which most subjects (97.0%; 226/233) had a MaS &lt; 10%. The average-reader sensitivity and specificity of the VGS were 0.80 and 0.94 to detect TS ≥ 30% and 0.93 and 0.81 to detect MaS ≥ 10%. Conclusion VGS was reliable and reproducible in assessing HS. It may be useful as a non-invasive and simple tool for comprehensive HS assessment. Graphical abstract</description><identifier>ISSN: 1936-0533</identifier><identifier>EISSN: 1936-0541</identifier><identifier>DOI: 10.1007/s12072-022-10373-0</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Attenuation ; Colorectal Surgery ; Computed tomography ; Fatty liver ; Hepatology ; Liver ; Medical diagnosis ; Medicine ; Medicine &amp; Public Health ; Organ donors ; Original Article ; Reliability analysis ; Reproducibility ; Statistical analysis ; Steatosis ; Surgery ; Vessels</subject><ispartof>Hepatology international, 2022-10, Vol.16 (5), p.1075-1084</ispartof><rights>Asian Pacific Association for the Study of the Liver 2022</rights><rights>Asian Pacific Association for the Study of the Liver 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-5dca858577eaca6cdc90e92c237e4beb31ff4c8f0b632475bd53f06be7cbd3443</citedby><cites>FETCH-LOGICAL-c352t-5dca858577eaca6cdc90e92c237e4beb31ff4c8f0b632475bd53f06be7cbd3443</cites><orcidid>0000-0001-6471-6727</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/s12072-022-10373-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12072-022-10373-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Park, Hyo Jung</creatorcontrib><creatorcontrib>Kim, Kyoung Won</creatorcontrib><creatorcontrib>Kwon, Heon-Ju</creatorcontrib><creatorcontrib>Lee, Sunyoung</creatorcontrib><creatorcontrib>Kim, Dong Wook</creatorcontrib><creatorcontrib>Moon, Hye Hyeon</creatorcontrib><creatorcontrib>Song, Gi-Won</creatorcontrib><creatorcontrib>Lee, Sung-Gyu</creatorcontrib><title>CT-based visual grading system for assessment of hepatic steatosis: diagnostic performance and interobserver agreement</title><title>Hepatology international</title><addtitle>Hepatol Int</addtitle><description>Background Hepatic steatosis (HS) can be comprehensively assessed by visually comparing the hepatic and vessel attenuation on unenhanced computed tomography (CT). We aimed to evaluate the reliability and reproducibility of a CT-based visual grading system (VGS) for comprehensive assessment of HS. Methods In this retrospective study, a four-point VGS based on the visual comparison of liver and hepatic vessels was validated by six reviewers with diverse clinical experience using the unenhanced CT images of 717 potential liver donors. The diagnostic performance of VGS and quantitative indices (difference and ratio of the hepatic and splenic attenuation) to diagnose HS were evaluated using multi-reader multi-case receiver operating characteristics (ROC) analysis (reference: pathology). The interobserver agreement was assessed using Fleiss κ statistics. Results Using the VGS, all six reviewers showed areas under the ROC curves (AUROCs) higher than 0.9 for diagnosing total steatosis (TS) ≥ 30%, macrovesicular steatosis (MaS) ≥ 30%, and MaS ≥ 10%. No difference was noted between the AUROCs of the VGS and quantitative indices ( p  ≥ 0.1). The reviewers showed substantial agreement (Fleiss κ , 0.61). Most discrepancies occurred between the two lowest grades of VGS (81.5%; 233/283), in which most subjects (97.0%; 226/233) had a MaS &lt; 10%. The average-reader sensitivity and specificity of the VGS were 0.80 and 0.94 to detect TS ≥ 30% and 0.93 and 0.81 to detect MaS ≥ 10%. Conclusion VGS was reliable and reproducible in assessing HS. It may be useful as a non-invasive and simple tool for comprehensive HS assessment. Graphical abstract</description><subject>Attenuation</subject><subject>Colorectal Surgery</subject><subject>Computed tomography</subject><subject>Fatty liver</subject><subject>Hepatology</subject><subject>Liver</subject><subject>Medical diagnosis</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Organ donors</subject><subject>Original Article</subject><subject>Reliability analysis</subject><subject>Reproducibility</subject><subject>Statistical analysis</subject><subject>Steatosis</subject><subject>Surgery</subject><subject>Vessels</subject><issn>1936-0533</issn><issn>1936-0541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kU1LAzEQhhdRsFb_gKeAFy-r-dhsWm9S_IKCl3oO2ezsmtJN1sxuof_e1IqCB08zzDzvyzBvll0yesMoVbfIOFU8p5znjAolcnqUTdhclDmVBTv-6YU4zc4Q15RKWbJykm0Xq7wyCDXZOhzNhrTR1M63BHc4QEeaEIlBBMQO_EBCQ96hN4OzJK3NENDhHamdaX3A_bSHmCSd8RaI8TVxfoAYKoS4heTURoC90Xl20pgNwsV3nWZvjw-rxXO-fH16WdwvcyskH3JZWzOTM6kUGGtKW9s5hTm3XCgoKqgEa5rCzhpalYIXSla1FA0tK1C2qkVRiGl2ffDtY_gYAQfdObSw2RgPYUTNy5mkIv1IJvTqD7oOY_TpOs0VmyvBpWKJ4gfKxoAYodF9dJ2JO82o3kehD1HoFIX-ikLTJBIHESbYtxB_rf9RfQI0xI6O</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Park, Hyo Jung</creator><creator>Kim, Kyoung Won</creator><creator>Kwon, Heon-Ju</creator><creator>Lee, Sunyoung</creator><creator>Kim, Dong Wook</creator><creator>Moon, Hye Hyeon</creator><creator>Song, Gi-Won</creator><creator>Lee, Sung-Gyu</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6471-6727</orcidid></search><sort><creationdate>20221001</creationdate><title>CT-based visual grading system for assessment of hepatic steatosis: diagnostic performance and interobserver agreement</title><author>Park, Hyo Jung ; Kim, Kyoung Won ; Kwon, Heon-Ju ; Lee, Sunyoung ; Kim, Dong Wook ; Moon, Hye Hyeon ; Song, Gi-Won ; Lee, Sung-Gyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-5dca858577eaca6cdc90e92c237e4beb31ff4c8f0b632475bd53f06be7cbd3443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Attenuation</topic><topic>Colorectal Surgery</topic><topic>Computed tomography</topic><topic>Fatty liver</topic><topic>Hepatology</topic><topic>Liver</topic><topic>Medical diagnosis</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Organ donors</topic><topic>Original Article</topic><topic>Reliability analysis</topic><topic>Reproducibility</topic><topic>Statistical analysis</topic><topic>Steatosis</topic><topic>Surgery</topic><topic>Vessels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Hyo Jung</creatorcontrib><creatorcontrib>Kim, Kyoung Won</creatorcontrib><creatorcontrib>Kwon, Heon-Ju</creatorcontrib><creatorcontrib>Lee, Sunyoung</creatorcontrib><creatorcontrib>Kim, Dong Wook</creatorcontrib><creatorcontrib>Moon, Hye Hyeon</creatorcontrib><creatorcontrib>Song, Gi-Won</creatorcontrib><creatorcontrib>Lee, Sung-Gyu</creatorcontrib><collection>CrossRef</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Hepatology international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Hyo Jung</au><au>Kim, Kyoung Won</au><au>Kwon, Heon-Ju</au><au>Lee, Sunyoung</au><au>Kim, Dong Wook</au><au>Moon, Hye Hyeon</au><au>Song, Gi-Won</au><au>Lee, Sung-Gyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CT-based visual grading system for assessment of hepatic steatosis: diagnostic performance and interobserver agreement</atitle><jtitle>Hepatology international</jtitle><stitle>Hepatol Int</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>16</volume><issue>5</issue><spage>1075</spage><epage>1084</epage><pages>1075-1084</pages><issn>1936-0533</issn><eissn>1936-0541</eissn><abstract>Background Hepatic steatosis (HS) can be comprehensively assessed by visually comparing the hepatic and vessel attenuation on unenhanced computed tomography (CT). We aimed to evaluate the reliability and reproducibility of a CT-based visual grading system (VGS) for comprehensive assessment of HS. Methods In this retrospective study, a four-point VGS based on the visual comparison of liver and hepatic vessels was validated by six reviewers with diverse clinical experience using the unenhanced CT images of 717 potential liver donors. The diagnostic performance of VGS and quantitative indices (difference and ratio of the hepatic and splenic attenuation) to diagnose HS were evaluated using multi-reader multi-case receiver operating characteristics (ROC) analysis (reference: pathology). The interobserver agreement was assessed using Fleiss κ statistics. Results Using the VGS, all six reviewers showed areas under the ROC curves (AUROCs) higher than 0.9 for diagnosing total steatosis (TS) ≥ 30%, macrovesicular steatosis (MaS) ≥ 30%, and MaS ≥ 10%. No difference was noted between the AUROCs of the VGS and quantitative indices ( p  ≥ 0.1). The reviewers showed substantial agreement (Fleiss κ , 0.61). Most discrepancies occurred between the two lowest grades of VGS (81.5%; 233/283), in which most subjects (97.0%; 226/233) had a MaS &lt; 10%. The average-reader sensitivity and specificity of the VGS were 0.80 and 0.94 to detect TS ≥ 30% and 0.93 and 0.81 to detect MaS ≥ 10%. Conclusion VGS was reliable and reproducible in assessing HS. It may be useful as a non-invasive and simple tool for comprehensive HS assessment. Graphical abstract</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12072-022-10373-0</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6471-6727</orcidid></addata></record>
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subjects Attenuation
Colorectal Surgery
Computed tomography
Fatty liver
Hepatology
Liver
Medical diagnosis
Medicine
Medicine & Public Health
Organ donors
Original Article
Reliability analysis
Reproducibility
Statistical analysis
Steatosis
Surgery
Vessels
title CT-based visual grading system for assessment of hepatic steatosis: diagnostic performance and interobserver agreement
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