A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy
Modern cancer diagnosis requires histological, molecular, and genomic tumor analyses. Tumor sampling is often achieved using a targeted needle biopsy approach. Targeting errors and cancer heterogeneity causing inaccurate sampling are important limitations of this blind technique leading to non-diagn...
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creator | Desroches, Joannie Jermyn, Michael Pinto, Michael Picot, Fabien Tremblay, Marie-Andrée Obaid, Sami Marple, Eric Urmey, Kirk Trudel, Dominique Soulez, Gilles Guiot, Marie-Christine Wilson, Brian C. Petrecca, Kevin Leblond, Frédéric |
description | Modern cancer diagnosis requires histological, molecular, and genomic tumor analyses. Tumor sampling is often achieved using a targeted needle biopsy approach. Targeting errors and cancer heterogeneity causing inaccurate sampling are important limitations of this
blind
technique leading to non-diagnostic or poor quality samples, and the need for repeated biopsies pose elevated patient risk. An optical technology that can analyze the molecular nature of the tissue prior to harvesting could improve cancer targeting and mitigate patient risk. Here we report on the design, development, and validation of an
in situ
intraoperative, label-free, cancer detection system based on high wavenumber Raman spectroscopy. This optical detection device was engineered into a commercially available biopsy system allowing tumor analysis prior to tissue harvesting without disrupting workflow. Using a dual validation approach we show that high wavenumber Raman spectroscopy can detect human dense cancer with >60% cancer cells
in situ
during surgery with a sensitivity and specificity of 80% and 90%, respectively. We also demonstrate for the first time the use of this system in a swine brain biopsy model. These studies set the stage for the clinical translation of this optical molecular imaging method for high yield and safe targeted biopsy. |
doi_str_mv | 10.1038/s41598-018-20233-3 |
format | Article |
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blind
technique leading to non-diagnostic or poor quality samples, and the need for repeated biopsies pose elevated patient risk. An optical technology that can analyze the molecular nature of the tissue prior to harvesting could improve cancer targeting and mitigate patient risk. Here we report on the design, development, and validation of an
in situ
intraoperative, label-free, cancer detection system based on high wavenumber Raman spectroscopy. This optical detection device was engineered into a commercially available biopsy system allowing tumor analysis prior to tissue harvesting without disrupting workflow. Using a dual validation approach we show that high wavenumber Raman spectroscopy can detect human dense cancer with >60% cancer cells
in situ
during surgery with a sensitivity and specificity of 80% and 90%, respectively. We also demonstrate for the first time the use of this system in a swine brain biopsy model. These studies set the stage for the clinical translation of this optical molecular imaging method for high yield and safe targeted biopsy.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-018-20233-3</identifier><identifier>PMID: 29379121</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>140/133 ; 639/624/1075/1079 ; 692/4028/546 ; Adult ; Aged ; Animals ; Biopsy ; Brain cancer ; Brain Neoplasms - diagnosis ; Brain Neoplasms - pathology ; Cancer ; Female ; Humanities and Social Sciences ; Humans ; Male ; Middle Aged ; multidisciplinary ; Neuroimaging ; Raman spectroscopy ; Sampling ; Science ; Science (multidisciplinary) ; Spectrum analysis ; Spectrum Analysis, Raman - methods ; Surgery ; Swine</subject><ispartof>Scientific reports, 2018-01, Vol.8 (1), p.1792-10, Article 1792</ispartof><rights>The Author(s) 2018</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-bf2709f0e33026e057ac3df7a83b282586a79470968593a88106403d42f1465f3</citedby><cites>FETCH-LOGICAL-c540t-bf2709f0e33026e057ac3df7a83b282586a79470968593a88106403d42f1465f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788981/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788981/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29379121$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Desroches, Joannie</creatorcontrib><creatorcontrib>Jermyn, Michael</creatorcontrib><creatorcontrib>Pinto, Michael</creatorcontrib><creatorcontrib>Picot, Fabien</creatorcontrib><creatorcontrib>Tremblay, Marie-Andrée</creatorcontrib><creatorcontrib>Obaid, Sami</creatorcontrib><creatorcontrib>Marple, Eric</creatorcontrib><creatorcontrib>Urmey, Kirk</creatorcontrib><creatorcontrib>Trudel, Dominique</creatorcontrib><creatorcontrib>Soulez, Gilles</creatorcontrib><creatorcontrib>Guiot, Marie-Christine</creatorcontrib><creatorcontrib>Wilson, Brian C.</creatorcontrib><creatorcontrib>Petrecca, Kevin</creatorcontrib><creatorcontrib>Leblond, Frédéric</creatorcontrib><title>A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Modern cancer diagnosis requires histological, molecular, and genomic tumor analyses. Tumor sampling is often achieved using a targeted needle biopsy approach. Targeting errors and cancer heterogeneity causing inaccurate sampling are important limitations of this
blind
technique leading to non-diagnostic or poor quality samples, and the need for repeated biopsies pose elevated patient risk. An optical technology that can analyze the molecular nature of the tissue prior to harvesting could improve cancer targeting and mitigate patient risk. Here we report on the design, development, and validation of an
in situ
intraoperative, label-free, cancer detection system based on high wavenumber Raman spectroscopy. This optical detection device was engineered into a commercially available biopsy system allowing tumor analysis prior to tissue harvesting without disrupting workflow. Using a dual validation approach we show that high wavenumber Raman spectroscopy can detect human dense cancer with >60% cancer cells
in situ
during surgery with a sensitivity and specificity of 80% and 90%, respectively. We also demonstrate for the first time the use of this system in a swine brain biopsy model. These studies set the stage for the clinical translation of this optical molecular imaging method for high yield and safe targeted biopsy.</description><subject>140/133</subject><subject>639/624/1075/1079</subject><subject>692/4028/546</subject><subject>Adult</subject><subject>Aged</subject><subject>Animals</subject><subject>Biopsy</subject><subject>Brain cancer</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Brain Neoplasms - pathology</subject><subject>Cancer</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Neuroimaging</subject><subject>Raman spectroscopy</subject><subject>Sampling</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Spectrum analysis</subject><subject>Spectrum Analysis, Raman - methods</subject><subject>Surgery</subject><subject>Swine</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kV1rFTEQhoMottT-AS8k4I03W5NMspvcCKX4USgIYq9DNjt7mnI2WZPdI-ffm3pqOQrmZkLmmTcz8xLymrMLzkC_L5IroxvGdSOYAGjgGTkVTKpGgBDPj-4n5LyUe1aPEkZy85KcCAOd4YKfkttLGvEnnXC5SwNdS4gb-s1NLtIyo19yKj7NezqmTEOku7BLdHF5gwsOtM-uvnkXPWa6hFJWpH1Ic9m_Ii9Gty14_hjPyO2nj9-vvjQ3Xz9fX13eNF5JtjT9KDpmRoYATLTIVOc8DGPnNPRCC6Vb1xlZkVYrA05rzlrJYJBi5LJVI5yRDwfdee0nHDzGJbutnXOYXN7b5IL9OxPDnd2knVWd1kbzKvDuUSCnHyuWxU6heNxuXcS0FsuNAcbrptqKvv0HvU9rjnW8B0oI3WqQlRIHytfVlYzjUzOc2Qfj7ME4W42zv42zUIveHI_xVPLHpgrAASg1FTeYj_7-v-wvaGKiiQ</recordid><startdate>20180129</startdate><enddate>20180129</enddate><creator>Desroches, Joannie</creator><creator>Jermyn, Michael</creator><creator>Pinto, Michael</creator><creator>Picot, Fabien</creator><creator>Tremblay, Marie-Andrée</creator><creator>Obaid, Sami</creator><creator>Marple, Eric</creator><creator>Urmey, Kirk</creator><creator>Trudel, Dominique</creator><creator>Soulez, Gilles</creator><creator>Guiot, Marie-Christine</creator><creator>Wilson, Brian C.</creator><creator>Petrecca, Kevin</creator><creator>Leblond, Frédéric</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180129</creationdate><title>A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy</title><author>Desroches, Joannie ; Jermyn, Michael ; Pinto, Michael ; Picot, Fabien ; Tremblay, Marie-Andrée ; Obaid, Sami ; Marple, Eric ; Urmey, Kirk ; Trudel, Dominique ; Soulez, Gilles ; Guiot, Marie-Christine ; Wilson, Brian C. ; Petrecca, Kevin ; Leblond, Frédéric</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-bf2709f0e33026e057ac3df7a83b282586a79470968593a88106403d42f1465f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>140/133</topic><topic>639/624/1075/1079</topic><topic>692/4028/546</topic><topic>Adult</topic><topic>Aged</topic><topic>Animals</topic><topic>Biopsy</topic><topic>Brain cancer</topic><topic>Brain Neoplasms - diagnosis</topic><topic>Brain Neoplasms - pathology</topic><topic>Cancer</topic><topic>Female</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Neuroimaging</topic><topic>Raman spectroscopy</topic><topic>Sampling</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Spectrum analysis</topic><topic>Spectrum Analysis, Raman - methods</topic><topic>Surgery</topic><topic>Swine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Desroches, Joannie</creatorcontrib><creatorcontrib>Jermyn, Michael</creatorcontrib><creatorcontrib>Pinto, Michael</creatorcontrib><creatorcontrib>Picot, Fabien</creatorcontrib><creatorcontrib>Tremblay, Marie-Andrée</creatorcontrib><creatorcontrib>Obaid, Sami</creatorcontrib><creatorcontrib>Marple, Eric</creatorcontrib><creatorcontrib>Urmey, Kirk</creatorcontrib><creatorcontrib>Trudel, Dominique</creatorcontrib><creatorcontrib>Soulez, Gilles</creatorcontrib><creatorcontrib>Guiot, Marie-Christine</creatorcontrib><creatorcontrib>Wilson, Brian C.</creatorcontrib><creatorcontrib>Petrecca, Kevin</creatorcontrib><creatorcontrib>Leblond, Frédéric</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content 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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Desroches, Joannie</au><au>Jermyn, Michael</au><au>Pinto, Michael</au><au>Picot, Fabien</au><au>Tremblay, Marie-Andrée</au><au>Obaid, Sami</au><au>Marple, Eric</au><au>Urmey, Kirk</au><au>Trudel, Dominique</au><au>Soulez, Gilles</au><au>Guiot, Marie-Christine</au><au>Wilson, Brian C.</au><au>Petrecca, Kevin</au><au>Leblond, Frédéric</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2018-01-29</date><risdate>2018</risdate><volume>8</volume><issue>1</issue><spage>1792</spage><epage>10</epage><pages>1792-10</pages><artnum>1792</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Modern cancer diagnosis requires histological, molecular, and genomic tumor analyses. Tumor sampling is often achieved using a targeted needle biopsy approach. Targeting errors and cancer heterogeneity causing inaccurate sampling are important limitations of this
blind
technique leading to non-diagnostic or poor quality samples, and the need for repeated biopsies pose elevated patient risk. An optical technology that can analyze the molecular nature of the tissue prior to harvesting could improve cancer targeting and mitigate patient risk. Here we report on the design, development, and validation of an
in situ
intraoperative, label-free, cancer detection system based on high wavenumber Raman spectroscopy. This optical detection device was engineered into a commercially available biopsy system allowing tumor analysis prior to tissue harvesting without disrupting workflow. Using a dual validation approach we show that high wavenumber Raman spectroscopy can detect human dense cancer with >60% cancer cells
in situ
during surgery with a sensitivity and specificity of 80% and 90%, respectively. We also demonstrate for the first time the use of this system in a swine brain biopsy model. These studies set the stage for the clinical translation of this optical molecular imaging method for high yield and safe targeted biopsy.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29379121</pmid><doi>10.1038/s41598-018-20233-3</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 140/133 639/624/1075/1079 692/4028/546 Adult Aged Animals Biopsy Brain cancer Brain Neoplasms - diagnosis Brain Neoplasms - pathology Cancer Female Humanities and Social Sciences Humans Male Middle Aged multidisciplinary Neuroimaging Raman spectroscopy Sampling Science Science (multidisciplinary) Spectrum analysis Spectrum Analysis, Raman - methods Surgery Swine |
title | A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy |
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