Technical limitations of dual-energy CT in neuroradiology: 30-month institutional experience and review of literature
BackgroundDual-energy CT (DECT) has been shown to be a useful modality in neuroradiology.ObjectiveTo assess failure modes and limitations of DECT in different neuroimaging applications.Patients and methodsDual-source DECT scans were performed in 72 patients over 30 months to differentiate contrast a...
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Veröffentlicht in: | Journal of neurointerventional surgery 2015-08, Vol.7 (8), p.596-602 |
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description | BackgroundDual-energy CT (DECT) has been shown to be a useful modality in neuroradiology.ObjectiveTo assess failure modes and limitations of DECT in different neuroimaging applications.Patients and methodsDual-source DECT scans were performed in 72 patients over 30 months to differentiate contrast agent staining or extravasation from intracranial hemorrhage (ICH) (n=40); to differentiate calcium from ICH (n=2); for metal-artifact reduction (n=5); and for angiographic assessment (n=25). A three-material decomposition algorithm was used to obtain virtual non-contrast (VNC) and iodine (or calcium) overlay images. Images were analyzed in consensus by two board-certified radiologists to determine the success of the algorithm and to assess confounding factors. Furthermore, a dilution experiment using cylinders containing defined heparinized swine blood, normal saline, and selected iodine concentrations was conducted to assess other possible confounding factors.ResultsDual-energy analysis was successful in 65 (90.2%) patients. However, the algorithm failed when images were affected by beam hardening (n=3, 4.2%), the presence of a fourth material (parenchymal calcification) (n=3, 4.2%), or motion (n=1, 1.4%). In the dilution experiment, a saturation effect was seen at high iodine concentrations (≥37 mg/ml). VNC and iodine overlay images were not reliable above this concentration, and beam-hardening artifacts were noted.ConclusionsDECT material decomposition is usually successful in neuroradiology. However, it can only distinguish up to three preselected materials. A fourth material such as parenchymal calcium may confound the analysis. Artifacts such as beam hardening, metallic streak, or saturation effect can also impair material decomposition. |
doi_str_mv | 10.1136/neurintsurg-2014-011241 |
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A three-material decomposition algorithm was used to obtain virtual non-contrast (VNC) and iodine (or calcium) overlay images. Images were analyzed in consensus by two board-certified radiologists to determine the success of the algorithm and to assess confounding factors. Furthermore, a dilution experiment using cylinders containing defined heparinized swine blood, normal saline, and selected iodine concentrations was conducted to assess other possible confounding factors.ResultsDual-energy analysis was successful in 65 (90.2%) patients. However, the algorithm failed when images were affected by beam hardening (n=3, 4.2%), the presence of a fourth material (parenchymal calcification) (n=3, 4.2%), or motion (n=1, 1.4%). In the dilution experiment, a saturation effect was seen at high iodine concentrations (≥37 mg/ml). VNC and iodine overlay images were not reliable above this concentration, and beam-hardening artifacts were noted.ConclusionsDECT material decomposition is usually successful in neuroradiology. However, it can only distinguish up to three preselected materials. A fourth material such as parenchymal calcium may confound the analysis. Artifacts such as beam hardening, metallic streak, or saturation effect can also impair material decomposition.</description><identifier>ISSN: 1759-8478</identifier><identifier>EISSN: 1759-8486</identifier><identifier>DOI: 10.1136/neurintsurg-2014-011241</identifier><identifier>PMID: 24951287</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Decomposition ; Female ; Humans ; Intracranial Hemorrhages - diagnostic imaging ; Intracranial Hemorrhages - surgery ; Iodine ; Male ; Medical imaging ; Middle Aged ; Neuroradiography - methods ; Neuroradiography - trends ; Surgical Instruments ; Time Factors ; Tomography, X-Ray Computed - methods ; Tomography, X-Ray Computed - trends</subject><ispartof>Journal of neurointerventional surgery, 2015-08, Vol.7 (8), p.596-602</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>Copyright: 2015 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b450t-9e5b63239f28d84be4e42e8576679063ce934ac5480ce034ca8de967ef1a74b03</citedby><cites>FETCH-LOGICAL-b450t-9e5b63239f28d84be4e42e8576679063ce934ac5480ce034ca8de967ef1a74b03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jnis.bmj.com/content/7/8/596.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jnis.bmj.com/content/7/8/596.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,3183,23550,27901,27902,77569,77600</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24951287$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dinkel, Julien</creatorcontrib><creatorcontrib>Khalilzadeh, Omid</creatorcontrib><creatorcontrib>Phan, Catherine M</creatorcontrib><creatorcontrib>Goenka, Ajit H</creatorcontrib><creatorcontrib>Yoo, Albert J</creatorcontrib><creatorcontrib>Hirsch, Joshua A</creatorcontrib><creatorcontrib>Gupta, Rajiv</creatorcontrib><title>Technical limitations of dual-energy CT in neuroradiology: 30-month institutional experience and review of literature</title><title>Journal of neurointerventional surgery</title><addtitle>J Neurointerv Surg</addtitle><description>BackgroundDual-energy CT (DECT) has been shown to be a useful modality in neuroradiology.ObjectiveTo assess failure modes and limitations of DECT in different neuroimaging applications.Patients and methodsDual-source DECT scans were performed in 72 patients over 30 months to differentiate contrast agent staining or extravasation from intracranial hemorrhage (ICH) (n=40); to differentiate calcium from ICH (n=2); for metal-artifact reduction (n=5); and for angiographic assessment (n=25). A three-material decomposition algorithm was used to obtain virtual non-contrast (VNC) and iodine (or calcium) overlay images. Images were analyzed in consensus by two board-certified radiologists to determine the success of the algorithm and to assess confounding factors. Furthermore, a dilution experiment using cylinders containing defined heparinized swine blood, normal saline, and selected iodine concentrations was conducted to assess other possible confounding factors.ResultsDual-energy analysis was successful in 65 (90.2%) patients. However, the algorithm failed when images were affected by beam hardening (n=3, 4.2%), the presence of a fourth material (parenchymal calcification) (n=3, 4.2%), or motion (n=1, 1.4%). In the dilution experiment, a saturation effect was seen at high iodine concentrations (≥37 mg/ml). VNC and iodine overlay images were not reliable above this concentration, and beam-hardening artifacts were noted.ConclusionsDECT material decomposition is usually successful in neuroradiology. However, it can only distinguish up to three preselected materials. A fourth material such as parenchymal calcium may confound the analysis. Artifacts such as beam hardening, metallic streak, or saturation effect can also impair material decomposition.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Decomposition</subject><subject>Female</subject><subject>Humans</subject><subject>Intracranial Hemorrhages - diagnostic imaging</subject><subject>Intracranial Hemorrhages - surgery</subject><subject>Iodine</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Neuroradiography - methods</subject><subject>Neuroradiography - trends</subject><subject>Surgical Instruments</subject><subject>Time Factors</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tomography, X-Ray Computed - trends</subject><issn>1759-8478</issn><issn>1759-8486</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkUtv1DAURi1ERR_wF8ASGzahtuMnOzTiJVXqZlhHjnMz9SixBz9o59830ZQKsWLlK_l858r-EHpHyUdKW3kdoCYfSq5p1zBCeUMoZZy-QBdUCdNoruXL51npc3SZ854QqYQSr9A540ZQptUFqltwd8E7O-HJz77Y4mPIOI54qHZqIEDaHfFmi33A69KY7ODjFHfHT7glzRxDuVvucvGlrtHFAw8HSB6CA2zDgBP89nC_GidfINlSE7xGZ6OdMrx5Oq_Qz69ftpvvzc3ttx-bzzdNzwUpjQHRy5a1ZmR60LwHDpyBFkpKZYhsHZiWWye4Jg5Iy53VAxipYKRW8Z60V-jDyXtI8VeFXLrZZwfTZAPEmjsqjWLLh4oVff8Puo81Le9ZKC2J5kYbs1DqRLkUc04wdofkZ5uOHSXd2kz3VzPd2kx3amZJvn3y136G4Tn3p4oFYCegn_f_bX0EOAGfMQ</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Dinkel, Julien</creator><creator>Khalilzadeh, Omid</creator><creator>Phan, Catherine M</creator><creator>Goenka, Ajit H</creator><creator>Yoo, Albert J</creator><creator>Hirsch, Joshua A</creator><creator>Gupta, Rajiv</creator><general>BMJ Publishing Group 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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20150801</creationdate><title>Technical limitations of dual-energy CT in neuroradiology: 30-month institutional experience and review of literature</title><author>Dinkel, Julien ; Khalilzadeh, Omid ; Phan, Catherine M ; Goenka, Ajit H ; Yoo, Albert J ; Hirsch, Joshua A ; Gupta, Rajiv</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b450t-9e5b63239f28d84be4e42e8576679063ce934ac5480ce034ca8de967ef1a74b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Decomposition</topic><topic>Female</topic><topic>Humans</topic><topic>Intracranial Hemorrhages - diagnostic imaging</topic><topic>Intracranial Hemorrhages - surgery</topic><topic>Iodine</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Neuroradiography - methods</topic><topic>Neuroradiography - trends</topic><topic>Surgical Instruments</topic><topic>Time Factors</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tomography, X-Ray Computed - trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dinkel, Julien</creatorcontrib><creatorcontrib>Khalilzadeh, Omid</creatorcontrib><creatorcontrib>Phan, Catherine M</creatorcontrib><creatorcontrib>Goenka, Ajit H</creatorcontrib><creatorcontrib>Yoo, Albert J</creatorcontrib><creatorcontrib>Hirsch, Joshua A</creatorcontrib><creatorcontrib>Gupta, Rajiv</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neurointerventional surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dinkel, Julien</au><au>Khalilzadeh, Omid</au><au>Phan, Catherine M</au><au>Goenka, Ajit H</au><au>Yoo, Albert J</au><au>Hirsch, Joshua A</au><au>Gupta, Rajiv</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Technical limitations of dual-energy CT in neuroradiology: 30-month institutional experience and review of literature</atitle><jtitle>Journal of neurointerventional surgery</jtitle><addtitle>J Neurointerv Surg</addtitle><date>2015-08-01</date><risdate>2015</risdate><volume>7</volume><issue>8</issue><spage>596</spage><epage>602</epage><pages>596-602</pages><issn>1759-8478</issn><eissn>1759-8486</eissn><abstract>BackgroundDual-energy CT (DECT) has been shown to be a useful modality in neuroradiology.ObjectiveTo assess failure modes and limitations of DECT in different neuroimaging applications.Patients and methodsDual-source DECT scans were performed in 72 patients over 30 months to differentiate contrast agent staining or extravasation from intracranial hemorrhage (ICH) (n=40); to differentiate calcium from ICH (n=2); for metal-artifact reduction (n=5); and for angiographic assessment (n=25). A three-material decomposition algorithm was used to obtain virtual non-contrast (VNC) and iodine (or calcium) overlay images. Images were analyzed in consensus by two board-certified radiologists to determine the success of the algorithm and to assess confounding factors. Furthermore, a dilution experiment using cylinders containing defined heparinized swine blood, normal saline, and selected iodine concentrations was conducted to assess other possible confounding factors.ResultsDual-energy analysis was successful in 65 (90.2%) patients. However, the algorithm failed when images were affected by beam hardening (n=3, 4.2%), the presence of a fourth material (parenchymal calcification) (n=3, 4.2%), or motion (n=1, 1.4%). In the dilution experiment, a saturation effect was seen at high iodine concentrations (≥37 mg/ml). VNC and iodine overlay images were not reliable above this concentration, and beam-hardening artifacts were noted.ConclusionsDECT material decomposition is usually successful in neuroradiology. However, it can only distinguish up to three preselected materials. A fourth material such as parenchymal calcium may confound the analysis. Artifacts such as beam hardening, metallic streak, or saturation effect can also impair material decomposition.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>24951287</pmid><doi>10.1136/neurintsurg-2014-011241</doi><tpages>7</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Algorithms Decomposition Female Humans Intracranial Hemorrhages - diagnostic imaging Intracranial Hemorrhages - surgery Iodine Male Medical imaging Middle Aged Neuroradiography - methods Neuroradiography - trends Surgical Instruments Time Factors Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - trends |
title | Technical limitations of dual-energy CT in neuroradiology: 30-month institutional experience and review of literature |
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