Hyperspectral imaging for quantitative assessment of hepatic steatosis in human liver allografts

Introduction In liver transplantation (LT), steatosis is commonly judged to be a risk factor for graft dysfunction, and quantitative assessment of hepatic steatosis remains crucial. Liver biopsy as the gold standard for evaluation of hepatic steatosis has certain drawbacks, that is, invasiveness, an...

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Veröffentlicht in:Clinical transplantation 2022-08, Vol.36 (8), p.e14736-n/a
Hauptverfasser: Wagner, Tristan, Katou, Shadi, Wahl, Philip, Vogt, Franziska, Kneifel, Felicia, Morgul, Haluk, Vogel, Thomas, Houben, Philipp, Becker, Felix, Struecker, Benjamin, Pascher, Andreas, Radunz, Sonia
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container_issue 8
container_start_page e14736
container_title Clinical transplantation
container_volume 36
creator Wagner, Tristan
Katou, Shadi
Wahl, Philip
Vogt, Franziska
Kneifel, Felicia
Morgul, Haluk
Vogel, Thomas
Houben, Philipp
Becker, Felix
Struecker, Benjamin
Pascher, Andreas
Radunz, Sonia
description Introduction In liver transplantation (LT), steatosis is commonly judged to be a risk factor for graft dysfunction, and quantitative assessment of hepatic steatosis remains crucial. Liver biopsy as the gold standard for evaluation of hepatic steatosis has certain drawbacks, that is, invasiveness, and intra‐ and inter‐observer variability. A non‐invasive, quantitative modality could replace liver biopsy and eliminate these disadvantages, but has not yet been evaluated in human LT. Methods We performed a pilot study to evaluate the feasibility and accuracy of hyperspectral imaging (HSI) in the assessment of hepatic steatosis of human liver allografts for transplantation. Thirteen deceased donor liver allografts were included in the study. The degree of steatosis was assessed by means of conventional liver biopsy as well as HSI, performed at the end of back‐table preparation, during normothermic machine perfusion (NMP), and after reperfusion in the recipient. Results Organ donors were 51 [30–83] years old, and 61.5% were male. Donor body mass index was 24.2 [16.5–38.0] kg/m2. The tissue lipid index (TLI) generated by HSI at the end of back‐table preparation correlated significantly with the histopathologically assessed degree of overall hepatic steatosis (R2 = .9085, P 
doi_str_mv 10.1111/ctr.14736
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Liver biopsy as the gold standard for evaluation of hepatic steatosis has certain drawbacks, that is, invasiveness, and intra‐ and inter‐observer variability. A non‐invasive, quantitative modality could replace liver biopsy and eliminate these disadvantages, but has not yet been evaluated in human LT. Methods We performed a pilot study to evaluate the feasibility and accuracy of hyperspectral imaging (HSI) in the assessment of hepatic steatosis of human liver allografts for transplantation. Thirteen deceased donor liver allografts were included in the study. The degree of steatosis was assessed by means of conventional liver biopsy as well as HSI, performed at the end of back‐table preparation, during normothermic machine perfusion (NMP), and after reperfusion in the recipient. Results Organ donors were 51 [30–83] years old, and 61.5% were male. Donor body mass index was 24.2 [16.5–38.0] kg/m2. The tissue lipid index (TLI) generated by HSI at the end of back‐table preparation correlated significantly with the histopathologically assessed degree of overall hepatic steatosis (R2 = .9085, P &lt; .0001); this was based on a correlation of TLI and microvesicular steatosis (R2 = .8120; P &lt; .0001). There is also a linear relationship between the histopathologically assessed degree of overall steatosis and TLI during NMP (R2 = .5646; P = .0031) as well as TLI after reperfusion (R2 = .6562; P = .0008). Conclusion HSI may safely be applied for accurate assessment of hepatic steatosis in human liver grafts. Certainly, TLI needs further assessment and validation in larger sample sizes.</description><identifier>ISSN: 0902-0063</identifier><identifier>EISSN: 1399-0012</identifier><identifier>DOI: 10.1111/ctr.14736</identifier><identifier>PMID: 35622345</identifier><language>eng</language><publisher>Denmark</publisher><subject>hyperspectral imaging ; liver biopsy ; liver transplantation ; non‐invasive ; optical method ; steatosis ; tissue lipid index</subject><ispartof>Clinical transplantation, 2022-08, Vol.36 (8), p.e14736-n/a</ispartof><rights>2022 The Authors. published by John Wiley &amp; Sons Ltd.</rights><rights>This article is protected by copyright. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2906-41b7ea874146801d37d5aec27c83f8e7c7b538c2b6b97ed1a06e8b397b5a0f643</citedby><cites>FETCH-LOGICAL-c2906-41b7ea874146801d37d5aec27c83f8e7c7b538c2b6b97ed1a06e8b397b5a0f643</cites><orcidid>0000-0002-1945-3128</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fctr.14736$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fctr.14736$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35622345$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wagner, Tristan</creatorcontrib><creatorcontrib>Katou, Shadi</creatorcontrib><creatorcontrib>Wahl, Philip</creatorcontrib><creatorcontrib>Vogt, Franziska</creatorcontrib><creatorcontrib>Kneifel, Felicia</creatorcontrib><creatorcontrib>Morgul, Haluk</creatorcontrib><creatorcontrib>Vogel, Thomas</creatorcontrib><creatorcontrib>Houben, Philipp</creatorcontrib><creatorcontrib>Becker, Felix</creatorcontrib><creatorcontrib>Struecker, Benjamin</creatorcontrib><creatorcontrib>Pascher, Andreas</creatorcontrib><creatorcontrib>Radunz, Sonia</creatorcontrib><title>Hyperspectral imaging for quantitative assessment of hepatic steatosis in human liver allografts</title><title>Clinical transplantation</title><addtitle>Clin Transplant</addtitle><description>Introduction In liver transplantation (LT), steatosis is commonly judged to be a risk factor for graft dysfunction, and quantitative assessment of hepatic steatosis remains crucial. Liver biopsy as the gold standard for evaluation of hepatic steatosis has certain drawbacks, that is, invasiveness, and intra‐ and inter‐observer variability. A non‐invasive, quantitative modality could replace liver biopsy and eliminate these disadvantages, but has not yet been evaluated in human LT. Methods We performed a pilot study to evaluate the feasibility and accuracy of hyperspectral imaging (HSI) in the assessment of hepatic steatosis of human liver allografts for transplantation. Thirteen deceased donor liver allografts were included in the study. The degree of steatosis was assessed by means of conventional liver biopsy as well as HSI, performed at the end of back‐table preparation, during normothermic machine perfusion (NMP), and after reperfusion in the recipient. Results Organ donors were 51 [30–83] years old, and 61.5% were male. Donor body mass index was 24.2 [16.5–38.0] kg/m2. The tissue lipid index (TLI) generated by HSI at the end of back‐table preparation correlated significantly with the histopathologically assessed degree of overall hepatic steatosis (R2 = .9085, P &lt; .0001); this was based on a correlation of TLI and microvesicular steatosis (R2 = .8120; P &lt; .0001). There is also a linear relationship between the histopathologically assessed degree of overall steatosis and TLI during NMP (R2 = .5646; P = .0031) as well as TLI after reperfusion (R2 = .6562; P = .0008). Conclusion HSI may safely be applied for accurate assessment of hepatic steatosis in human liver grafts. Certainly, TLI needs further assessment and validation in larger sample sizes.</description><subject>hyperspectral imaging</subject><subject>liver biopsy</subject><subject>liver transplantation</subject><subject>non‐invasive</subject><subject>optical method</subject><subject>steatosis</subject><subject>tissue lipid index</subject><issn>0902-0063</issn><issn>1399-0012</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp1kE1Lw0AQhhdRbK0e_AOyRz203Y9kNzlKUSsIgtRz3GwnbSRf3dko_feupnpzLjO8PDwwLyGXnM14mLn1bsYjLdURGXOZplPGuDgmY5YyEW4lR-QM8T2kiqv4lIxkrISQUTwmb8t9Bw47CA5T0bI2m7LZ0KJ1dNebxpfe-PIDqEEExBoaT9uCbqELsaXowfgWS6RlQ7d9bRpaBdpRU1XtxpnC4zk5KUyFcHHYE_J6f7daLKdPzw-Pi9unqRUpU9OI5xpMoiMeqYTxtdTr2IAV2iaySEBbnccysSJXeaphzQ1TkOQyDbFhhYrkhFwP3s61ux7QZ3WJFqrKNND2mAmludCRUjygNwNqXYvooMg6Fx53-4yz7LvQLJSR_RQa2KuDts9rWP-Rvw0GYD4An2UF-_9N2WL1Mii_ADHqgTk</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Wagner, Tristan</creator><creator>Katou, Shadi</creator><creator>Wahl, Philip</creator><creator>Vogt, Franziska</creator><creator>Kneifel, Felicia</creator><creator>Morgul, Haluk</creator><creator>Vogel, Thomas</creator><creator>Houben, Philipp</creator><creator>Becker, Felix</creator><creator>Struecker, Benjamin</creator><creator>Pascher, Andreas</creator><creator>Radunz, Sonia</creator><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1945-3128</orcidid></search><sort><creationdate>202208</creationdate><title>Hyperspectral imaging for quantitative assessment of hepatic steatosis in human liver allografts</title><author>Wagner, Tristan ; Katou, Shadi ; Wahl, Philip ; Vogt, Franziska ; Kneifel, Felicia ; Morgul, Haluk ; Vogel, Thomas ; Houben, Philipp ; Becker, Felix ; Struecker, Benjamin ; Pascher, Andreas ; Radunz, Sonia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2906-41b7ea874146801d37d5aec27c83f8e7c7b538c2b6b97ed1a06e8b397b5a0f643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>hyperspectral imaging</topic><topic>liver biopsy</topic><topic>liver transplantation</topic><topic>non‐invasive</topic><topic>optical method</topic><topic>steatosis</topic><topic>tissue lipid index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wagner, Tristan</creatorcontrib><creatorcontrib>Katou, Shadi</creatorcontrib><creatorcontrib>Wahl, Philip</creatorcontrib><creatorcontrib>Vogt, Franziska</creatorcontrib><creatorcontrib>Kneifel, Felicia</creatorcontrib><creatorcontrib>Morgul, Haluk</creatorcontrib><creatorcontrib>Vogel, Thomas</creatorcontrib><creatorcontrib>Houben, Philipp</creatorcontrib><creatorcontrib>Becker, Felix</creatorcontrib><creatorcontrib>Struecker, Benjamin</creatorcontrib><creatorcontrib>Pascher, Andreas</creatorcontrib><creatorcontrib>Radunz, Sonia</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical transplantation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wagner, Tristan</au><au>Katou, Shadi</au><au>Wahl, Philip</au><au>Vogt, Franziska</au><au>Kneifel, Felicia</au><au>Morgul, Haluk</au><au>Vogel, Thomas</au><au>Houben, Philipp</au><au>Becker, Felix</au><au>Struecker, Benjamin</au><au>Pascher, Andreas</au><au>Radunz, Sonia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hyperspectral imaging for quantitative assessment of hepatic steatosis in human liver allografts</atitle><jtitle>Clinical transplantation</jtitle><addtitle>Clin Transplant</addtitle><date>2022-08</date><risdate>2022</risdate><volume>36</volume><issue>8</issue><spage>e14736</spage><epage>n/a</epage><pages>e14736-n/a</pages><issn>0902-0063</issn><eissn>1399-0012</eissn><abstract>Introduction In liver transplantation (LT), steatosis is commonly judged to be a risk factor for graft dysfunction, and quantitative assessment of hepatic steatosis remains crucial. Liver biopsy as the gold standard for evaluation of hepatic steatosis has certain drawbacks, that is, invasiveness, and intra‐ and inter‐observer variability. A non‐invasive, quantitative modality could replace liver biopsy and eliminate these disadvantages, but has not yet been evaluated in human LT. Methods We performed a pilot study to evaluate the feasibility and accuracy of hyperspectral imaging (HSI) in the assessment of hepatic steatosis of human liver allografts for transplantation. Thirteen deceased donor liver allografts were included in the study. The degree of steatosis was assessed by means of conventional liver biopsy as well as HSI, performed at the end of back‐table preparation, during normothermic machine perfusion (NMP), and after reperfusion in the recipient. Results Organ donors were 51 [30–83] years old, and 61.5% were male. Donor body mass index was 24.2 [16.5–38.0] kg/m2. The tissue lipid index (TLI) generated by HSI at the end of back‐table preparation correlated significantly with the histopathologically assessed degree of overall hepatic steatosis (R2 = .9085, P &lt; .0001); this was based on a correlation of TLI and microvesicular steatosis (R2 = .8120; P &lt; .0001). There is also a linear relationship between the histopathologically assessed degree of overall steatosis and TLI during NMP (R2 = .5646; P = .0031) as well as TLI after reperfusion (R2 = .6562; P = .0008). Conclusion HSI may safely be applied for accurate assessment of hepatic steatosis in human liver grafts. Certainly, TLI needs further assessment and validation in larger sample sizes.</abstract><cop>Denmark</cop><pmid>35622345</pmid><doi>10.1111/ctr.14736</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-1945-3128</orcidid><oa>free_for_read</oa></addata></record>
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subjects hyperspectral imaging
liver biopsy
liver transplantation
non‐invasive
optical method
steatosis
tissue lipid index
title Hyperspectral imaging for quantitative assessment of hepatic steatosis in human liver allografts
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