Assessment of Melanin Content and its Influence on Susceptibility Contrast in Melanoma Metastases

Purpose To quantify the influence of melanin content on magnetic susceptibility of cerebral melanoma metastases. Methods Patients with non-hemorrhagic metastases were included based on the absence of susceptibility blooming artifacts. Susceptibility maps were calculated from 3D gradient echo data, u...

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Veröffentlicht in:Clinical neuroradiology (Munich) 2020-09, Vol.30 (3), p.607-614
Hauptverfasser: Straub, Sina, Laun, Frederik B., Freitag, Martin T., Kölsche, Christian, von Deimling, Andreas, Denoix, Michael, Bendszus, Martin, Schlemmer, Heinz-Peter, Ladd, Mark E., Schneider, Till M.
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container_issue 3
container_start_page 607
container_title Clinical neuroradiology (Munich)
container_volume 30
creator Straub, Sina
Laun, Frederik B.
Freitag, Martin T.
Kölsche, Christian
von Deimling, Andreas
Denoix, Michael
Bendszus, Martin
Schlemmer, Heinz-Peter
Ladd, Mark E.
Schneider, Till M.
description Purpose To quantify the influence of melanin content on magnetic susceptibility of cerebral melanoma metastases. Methods Patients with non-hemorrhagic metastases were included based on the absence of susceptibility blooming artifacts. Susceptibility maps were calculated from 3D gradient echo data, using Laplacian-based phase unwrapping, sophisticated harmonic artefact reduction for phase data (V-SHARP) with varying spherical kernel sizes for background field removal and the iLSQR algorithm for the inversion of phase data. Susceptibility maps were referenced to cerebrospinal fluid. Non-hemorrhagic metastases were identified on contrast-enhanced T1-weighted images and susceptibility weighted images. Metastases masks were drawn on T1-weighted post-contrast images and used to compute mean susceptibility values of each metastasis. Results A total of 33 non-hemorrhagic melanoma brain metastases in 20 patients were quantitatively evaluated. Metastases without and with hyperintense signal on T1-weighted images, which corresponds to the melanin content, showed median susceptibility values of −0.028 ppm and −0.020 ppm, respectively. The susceptibility differences between metastases without and with T1-weighted hyperintense signal was not statistically significant ( p  ≥ 0.05). Conclusion Non-hemorrhagic cerebral melanoma metastases showed weak diamagnetic susceptibility values and susceptibility did not significantly correlate to T1-weighted signals. Therefore, melanin does not seem to be a major contributor to susceptibility in cerebral melanoma metastases.
doi_str_mv 10.1007/s00062-019-00816-x
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Methods Patients with non-hemorrhagic metastases were included based on the absence of susceptibility blooming artifacts. Susceptibility maps were calculated from 3D gradient echo data, using Laplacian-based phase unwrapping, sophisticated harmonic artefact reduction for phase data (V-SHARP) with varying spherical kernel sizes for background field removal and the iLSQR algorithm for the inversion of phase data. Susceptibility maps were referenced to cerebrospinal fluid. Non-hemorrhagic metastases were identified on contrast-enhanced T1-weighted images and susceptibility weighted images. Metastases masks were drawn on T1-weighted post-contrast images and used to compute mean susceptibility values of each metastasis. Results A total of 33 non-hemorrhagic melanoma brain metastases in 20 patients were quantitatively evaluated. Metastases without and with hyperintense signal on T1-weighted images, which corresponds to the melanin content, showed median susceptibility values of −0.028 ppm and −0.020 ppm, respectively. The susceptibility differences between metastases without and with T1-weighted hyperintense signal was not statistically significant ( p  ≥ 0.05). Conclusion Non-hemorrhagic cerebral melanoma metastases showed weak diamagnetic susceptibility values and susceptibility did not significantly correlate to T1-weighted signals. Therefore, melanin does not seem to be a major contributor to susceptibility in cerebral melanoma metastases.</description><identifier>ISSN: 1869-1439</identifier><identifier>EISSN: 1869-1447</identifier><identifier>DOI: 10.1007/s00062-019-00816-x</identifier><identifier>PMID: 31396654</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Free radicals (Chemistry) ; Medical imaging equipment ; Medicine ; Medicine &amp; Public Health ; Melanoma ; Metastasis ; Neurology ; Neuroradiology ; Neurosurgery ; Original Article</subject><ispartof>Clinical neuroradiology (Munich), 2020-09, Vol.30 (3), p.607-614</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-648658520da309a1a02c836f6e6b059f25a850fe88c943f54876bf3f242a5093</citedby><cites>FETCH-LOGICAL-c442t-648658520da309a1a02c836f6e6b059f25a850fe88c943f54876bf3f242a5093</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00062-019-00816-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00062-019-00816-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31396654$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Straub, Sina</creatorcontrib><creatorcontrib>Laun, Frederik B.</creatorcontrib><creatorcontrib>Freitag, Martin T.</creatorcontrib><creatorcontrib>Kölsche, Christian</creatorcontrib><creatorcontrib>von Deimling, Andreas</creatorcontrib><creatorcontrib>Denoix, Michael</creatorcontrib><creatorcontrib>Bendszus, Martin</creatorcontrib><creatorcontrib>Schlemmer, Heinz-Peter</creatorcontrib><creatorcontrib>Ladd, Mark E.</creatorcontrib><creatorcontrib>Schneider, Till M.</creatorcontrib><title>Assessment of Melanin Content and its Influence on Susceptibility Contrast in Melanoma Metastases</title><title>Clinical neuroradiology (Munich)</title><addtitle>Clin Neuroradiol</addtitle><addtitle>Clin Neuroradiol</addtitle><description>Purpose To quantify the influence of melanin content on magnetic susceptibility of cerebral melanoma metastases. Methods Patients with non-hemorrhagic metastases were included based on the absence of susceptibility blooming artifacts. Susceptibility maps were calculated from 3D gradient echo data, using Laplacian-based phase unwrapping, sophisticated harmonic artefact reduction for phase data (V-SHARP) with varying spherical kernel sizes for background field removal and the iLSQR algorithm for the inversion of phase data. Susceptibility maps were referenced to cerebrospinal fluid. Non-hemorrhagic metastases were identified on contrast-enhanced T1-weighted images and susceptibility weighted images. Metastases masks were drawn on T1-weighted post-contrast images and used to compute mean susceptibility values of each metastasis. Results A total of 33 non-hemorrhagic melanoma brain metastases in 20 patients were quantitatively evaluated. Metastases without and with hyperintense signal on T1-weighted images, which corresponds to the melanin content, showed median susceptibility values of −0.028 ppm and −0.020 ppm, respectively. The susceptibility differences between metastases without and with T1-weighted hyperintense signal was not statistically significant ( p  ≥ 0.05). Conclusion Non-hemorrhagic cerebral melanoma metastases showed weak diamagnetic susceptibility values and susceptibility did not significantly correlate to T1-weighted signals. Therefore, melanin does not seem to be a major contributor to susceptibility in cerebral melanoma metastases.</description><subject>Algorithms</subject><subject>Free radicals (Chemistry)</subject><subject>Medical imaging equipment</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Melanoma</subject><subject>Metastasis</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosurgery</subject><subject>Original Article</subject><issn>1869-1439</issn><issn>1869-1447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kUtrHDEQhEVIiI3jP5BDGMgll3Fab-m4LHkYbHKI70I7KxmZGWkz0oD979O769jEhKCDROuropoi5D2FCwqgP1cAUKwHansAQ1V__4qcUqNsT4XQr5_e3J6Q81rvEAdurJT6LTnhlFulpDglflVrqHUKuXUldtdh9Dnlbl1y24983nap1e4yx3EJeQhdyd3PpQ5h19Imjak9HNjZ19ah7qAvk8dHw5FH73fkTfRjDeeP9xm5-frlZv29v_rx7XK9uuoHIVjrlTBKGslg6zlYTz2wwXAVVVAbkDYy6Y2EGIwZrOBRCqPVJvLIBPMSLD8jn462u7n8WkJtbkoYc8Q8oSzVMaYBKIIa0Y8v0LuyzBnDIaWsNswCe6Zu_RhcyrHglsPe1K00NUxpY_bUxT8oPNswpaHkEBPO_xKwo2CYS61ziG43p8nPD46C2zfrjs06bNYdmnX3KPrwmHjZTGH7JPnTIwL8CFT8yrdhfl7pP7a_ATZbrAw</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Straub, Sina</creator><creator>Laun, Frederik B.</creator><creator>Freitag, Martin T.</creator><creator>Kölsche, Christian</creator><creator>von Deimling, Andreas</creator><creator>Denoix, Michael</creator><creator>Bendszus, Martin</creator><creator>Schlemmer, Heinz-Peter</creator><creator>Ladd, Mark E.</creator><creator>Schneider, Till M.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><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>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20200901</creationdate><title>Assessment of Melanin Content and its Influence on Susceptibility Contrast in Melanoma Metastases</title><author>Straub, Sina ; Laun, Frederik B. ; Freitag, Martin T. ; Kölsche, Christian ; von Deimling, Andreas ; Denoix, Michael ; Bendszus, Martin ; Schlemmer, Heinz-Peter ; Ladd, Mark E. ; Schneider, Till M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-648658520da309a1a02c836f6e6b059f25a850fe88c943f54876bf3f242a5093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Free radicals (Chemistry)</topic><topic>Medical imaging equipment</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Melanoma</topic><topic>Metastasis</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosurgery</topic><topic>Original Article</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Straub, Sina</creatorcontrib><creatorcontrib>Laun, Frederik B.</creatorcontrib><creatorcontrib>Freitag, Martin T.</creatorcontrib><creatorcontrib>Kölsche, Christian</creatorcontrib><creatorcontrib>von Deimling, Andreas</creatorcontrib><creatorcontrib>Denoix, Michael</creatorcontrib><creatorcontrib>Bendszus, Martin</creatorcontrib><creatorcontrib>Schlemmer, Heinz-Peter</creatorcontrib><creatorcontrib>Ladd, Mark E.</creatorcontrib><creatorcontrib>Schneider, Till M.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; 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>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>Clinical neuroradiology (Munich)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Straub, Sina</au><au>Laun, Frederik B.</au><au>Freitag, Martin T.</au><au>Kölsche, Christian</au><au>von Deimling, Andreas</au><au>Denoix, Michael</au><au>Bendszus, Martin</au><au>Schlemmer, Heinz-Peter</au><au>Ladd, Mark E.</au><au>Schneider, Till M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Melanin Content and its Influence on Susceptibility Contrast in Melanoma Metastases</atitle><jtitle>Clinical neuroradiology (Munich)</jtitle><stitle>Clin Neuroradiol</stitle><addtitle>Clin Neuroradiol</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>30</volume><issue>3</issue><spage>607</spage><epage>614</epage><pages>607-614</pages><issn>1869-1439</issn><eissn>1869-1447</eissn><abstract>Purpose To quantify the influence of melanin content on magnetic susceptibility of cerebral melanoma metastases. Methods Patients with non-hemorrhagic metastases were included based on the absence of susceptibility blooming artifacts. Susceptibility maps were calculated from 3D gradient echo data, using Laplacian-based phase unwrapping, sophisticated harmonic artefact reduction for phase data (V-SHARP) with varying spherical kernel sizes for background field removal and the iLSQR algorithm for the inversion of phase data. Susceptibility maps were referenced to cerebrospinal fluid. Non-hemorrhagic metastases were identified on contrast-enhanced T1-weighted images and susceptibility weighted images. Metastases masks were drawn on T1-weighted post-contrast images and used to compute mean susceptibility values of each metastasis. Results A total of 33 non-hemorrhagic melanoma brain metastases in 20 patients were quantitatively evaluated. Metastases without and with hyperintense signal on T1-weighted images, which corresponds to the melanin content, showed median susceptibility values of −0.028 ppm and −0.020 ppm, respectively. The susceptibility differences between metastases without and with T1-weighted hyperintense signal was not statistically significant ( p  ≥ 0.05). Conclusion Non-hemorrhagic cerebral melanoma metastases showed weak diamagnetic susceptibility values and susceptibility did not significantly correlate to T1-weighted signals. Therefore, melanin does not seem to be a major contributor to susceptibility in cerebral melanoma metastases.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31396654</pmid><doi>10.1007/s00062-019-00816-x</doi><tpages>8</tpages></addata></record>
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subjects Algorithms
Free radicals (Chemistry)
Medical imaging equipment
Medicine
Medicine & Public Health
Melanoma
Metastasis
Neurology
Neuroradiology
Neurosurgery
Original Article
title Assessment of Melanin Content and its Influence on Susceptibility Contrast in Melanoma Metastases
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