A new measure to assess the difficulty of liver resection
Abstract Background There is no valid measure to assess surgical difficulty and feasibility of a planned liver resection. It is the objective of this study to evaluate a mathematical measure from a 3D graphical analysis. Methods Eleven different 3D models of hepatic tumours were evaluated by experts...
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Veröffentlicht in: | European journal of surgical oncology 2009-01, Vol.35 (1), p.59-64 |
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description | Abstract Background There is no valid measure to assess surgical difficulty and feasibility of a planned liver resection. It is the objective of this study to evaluate a mathematical measure from a 3D graphical analysis. Methods Eleven different 3D models of hepatic tumours were evaluated by experts for resectability and analysed with Amira® graphic software taking into consideration the portal and hepatic venous vascular relationships. Virtual resection volumes with increasing resection margins from 1 to 30 mm were determined separately for portal veins, hepatic veins, their intersections and volume unions. The integral of the increasing resection volumes was defined as risk coefficient. The risk coefficients from this volumetric analysis were compared with the expert opinion. Results The risk coefficient based on the integral of portal venous and hepatic venous volume unions reproduced the expert opinion highly significantly (correlation coefficient 0.9, p < 0.05) and more accurately than volumetric analysis of the planned resection margin. Conclusion With automated volumetric analysis, anatomically problematic situations in liver surgery can be reproduced and scaled. The risk coefficient obtained is a suitable objective measure for defining risk areas in liver surgery. |
doi_str_mv | 10.1016/j.ejso.2008.07.014 |
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It is the objective of this study to evaluate a mathematical measure from a 3D graphical analysis. Methods Eleven different 3D models of hepatic tumours were evaluated by experts for resectability and analysed with Amira® graphic software taking into consideration the portal and hepatic venous vascular relationships. Virtual resection volumes with increasing resection margins from 1 to 30 mm were determined separately for portal veins, hepatic veins, their intersections and volume unions. The integral of the increasing resection volumes was defined as risk coefficient. The risk coefficients from this volumetric analysis were compared with the expert opinion. Results The risk coefficient based on the integral of portal venous and hepatic venous volume unions reproduced the expert opinion highly significantly (correlation coefficient 0.9, p < 0.05) and more accurately than volumetric analysis of the planned resection margin. Conclusion With automated volumetric analysis, anatomically problematic situations in liver surgery can be reproduced and scaled. The risk coefficient obtained is a suitable objective measure for defining risk areas in liver surgery.</description><identifier>ISSN: 0748-7983</identifier><identifier>EISSN: 1532-2157</identifier><identifier>DOI: 10.1016/j.ejso.2008.07.014</identifier><identifier>PMID: 18789842</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Algorithms ; Expert Systems ; Hematology, Oncology and Palliative Medicine ; Hepatectomy - instrumentation ; Hepatic Artery - surgery ; Hepatic Veins - surgery ; Humans ; Imaging, Three-Dimensional ; Liver ; Liver Neoplasms - blood supply ; Liver Neoplasms - surgery ; Risk ; Software ; Surgery ; Tomography, X-Ray Computed - instrumentation ; User-Computer Interface ; Volumetry</subject><ispartof>European journal of surgical oncology, 2009-01, Vol.35 (1), p.59-64</ispartof><rights>Elsevier Ltd</rights><rights>2008 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-589c5bb6e2eeadf3983b4e24a610cf98f88828fc037a0000641f25ef12e2657c3</citedby><cites>FETCH-LOGICAL-c475t-589c5bb6e2eeadf3983b4e24a610cf98f88828fc037a0000641f25ef12e2657c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejso.2008.07.014$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18789842$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Beller, S</creatorcontrib><creatorcontrib>Eulenstein, S</creatorcontrib><creatorcontrib>Lange, T</creatorcontrib><creatorcontrib>Niederstrasser, M</creatorcontrib><creatorcontrib>Hünerbein, M</creatorcontrib><creatorcontrib>Schlag, P.M</creatorcontrib><title>A new measure to assess the difficulty of liver resection</title><title>European journal of surgical oncology</title><addtitle>Eur J Surg Oncol</addtitle><description>Abstract Background There is no valid measure to assess surgical difficulty and feasibility of a planned liver resection. It is the objective of this study to evaluate a mathematical measure from a 3D graphical analysis. Methods Eleven different 3D models of hepatic tumours were evaluated by experts for resectability and analysed with Amira® graphic software taking into consideration the portal and hepatic venous vascular relationships. Virtual resection volumes with increasing resection margins from 1 to 30 mm were determined separately for portal veins, hepatic veins, their intersections and volume unions. The integral of the increasing resection volumes was defined as risk coefficient. The risk coefficients from this volumetric analysis were compared with the expert opinion. Results The risk coefficient based on the integral of portal venous and hepatic venous volume unions reproduced the expert opinion highly significantly (correlation coefficient 0.9, p < 0.05) and more accurately than volumetric analysis of the planned resection margin. Conclusion With automated volumetric analysis, anatomically problematic situations in liver surgery can be reproduced and scaled. The risk coefficient obtained is a suitable objective measure for defining risk areas in liver surgery.</description><subject>Algorithms</subject><subject>Expert Systems</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Hepatectomy - instrumentation</subject><subject>Hepatic Artery - surgery</subject><subject>Hepatic Veins - surgery</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional</subject><subject>Liver</subject><subject>Liver Neoplasms - blood supply</subject><subject>Liver Neoplasms - surgery</subject><subject>Risk</subject><subject>Software</subject><subject>Surgery</subject><subject>Tomography, X-Ray Computed - instrumentation</subject><subject>User-Computer Interface</subject><subject>Volumetry</subject><issn>0748-7983</issn><issn>1532-2157</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUGL1TAUhYMozvPpH3AhXblrvUnTJgERhkGdgQEX6jrkpTeY2teMue3I-_emvAeCC1d3c87h3O8w9ppDw4H378YGR0qNANANqAa4fMJ2vGtFLXinnrIdKKlrZXR7xV4QjQBgWmWesyuulTZaih0z19WMv6sjOlozVkuqHBESVcsPrIYYQvTrtJyqFKopPmKuMhL6Jab5JXsW3ET46nL37Punj99ubuv7L5_vbq7vay9Vt9SdNr47HHoUiG4IbWlzkCik6zn4YHTQWgsdPLTKlYLQSx5Eh4ELFH2nfLtnb8-5Dzn9WpEWe4zkcZrcjGkl2_dKGlli90ychT4noozBPuR4dPlkOdgNmB3tBsxuwCwoW4AV05tL-no44vDXciFUBO_PAiw_PkbMlnzE2eMQcwFhhxT_n__hH7uf4hy9m37iCWlMa54LPcstCQv26zbZthho4EoYaP8ATVSQbw</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Beller, S</creator><creator>Eulenstein, S</creator><creator>Lange, T</creator><creator>Niederstrasser, M</creator><creator>Hünerbein, M</creator><creator>Schlag, P.M</creator><general>Elsevier Ltd</general><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>7X8</scope></search><sort><creationdate>20090101</creationdate><title>A new measure to assess the difficulty of liver resection</title><author>Beller, S ; Eulenstein, S ; Lange, T ; Niederstrasser, M ; Hünerbein, M ; Schlag, P.M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-589c5bb6e2eeadf3983b4e24a610cf98f88828fc037a0000641f25ef12e2657c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithms</topic><topic>Expert Systems</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Hepatectomy - instrumentation</topic><topic>Hepatic Artery - surgery</topic><topic>Hepatic Veins - surgery</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional</topic><topic>Liver</topic><topic>Liver Neoplasms - blood supply</topic><topic>Liver Neoplasms - surgery</topic><topic>Risk</topic><topic>Software</topic><topic>Surgery</topic><topic>Tomography, X-Ray Computed - instrumentation</topic><topic>User-Computer Interface</topic><topic>Volumetry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Beller, S</creatorcontrib><creatorcontrib>Eulenstein, S</creatorcontrib><creatorcontrib>Lange, T</creatorcontrib><creatorcontrib>Niederstrasser, M</creatorcontrib><creatorcontrib>Hünerbein, M</creatorcontrib><creatorcontrib>Schlag, P.M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Beller, S</au><au>Eulenstein, S</au><au>Lange, T</au><au>Niederstrasser, M</au><au>Hünerbein, M</au><au>Schlag, P.M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new measure to assess the difficulty of liver resection</atitle><jtitle>European journal of surgical oncology</jtitle><addtitle>Eur J Surg Oncol</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>35</volume><issue>1</issue><spage>59</spage><epage>64</epage><pages>59-64</pages><issn>0748-7983</issn><eissn>1532-2157</eissn><abstract>Abstract Background There is no valid measure to assess surgical difficulty and feasibility of a planned liver resection. It is the objective of this study to evaluate a mathematical measure from a 3D graphical analysis. Methods Eleven different 3D models of hepatic tumours were evaluated by experts for resectability and analysed with Amira® graphic software taking into consideration the portal and hepatic venous vascular relationships. Virtual resection volumes with increasing resection margins from 1 to 30 mm were determined separately for portal veins, hepatic veins, their intersections and volume unions. The integral of the increasing resection volumes was defined as risk coefficient. The risk coefficients from this volumetric analysis were compared with the expert opinion. Results The risk coefficient based on the integral of portal venous and hepatic venous volume unions reproduced the expert opinion highly significantly (correlation coefficient 0.9, p < 0.05) and more accurately than volumetric analysis of the planned resection margin. Conclusion With automated volumetric analysis, anatomically problematic situations in liver surgery can be reproduced and scaled. The risk coefficient obtained is a suitable objective measure for defining risk areas in liver surgery.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>18789842</pmid><doi>10.1016/j.ejso.2008.07.014</doi><tpages>6</tpages></addata></record> |
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subjects | Algorithms Expert Systems Hematology, Oncology and Palliative Medicine Hepatectomy - instrumentation Hepatic Artery - surgery Hepatic Veins - surgery Humans Imaging, Three-Dimensional Liver Liver Neoplasms - blood supply Liver Neoplasms - surgery Risk Software Surgery Tomography, X-Ray Computed - instrumentation User-Computer Interface Volumetry |
title | A new measure to assess the difficulty of liver resection |
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