Rapid determination of oxygen saturation and vascularity for cancer detection
A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breas...
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| creator | Hu, Fangyao Vishwanath, Karthik Lo, Justin Erkanli, Alaattin Mulvey, Christine Lee, Walter T Ramanujam, Nimmi |
| description | A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications. |
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The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0082977</identifier><identifier>PMID: 24358243</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Anemia ; Biology ; Biomedical engineering ; Biopsy ; Breast Neoplasms - blood supply ; Breast Neoplasms - diagnosis ; Breast Neoplasms - metabolism ; Cancer ; Cancer therapies ; Cervical cancer ; Cervical Intraepithelial Neoplasia - blood supply ; Cervical Intraepithelial Neoplasia - diagnosis ; Cervical Intraepithelial Neoplasia - metabolism ; Computer Simulation ; Diagnosis ; Early Detection of Cancer - methods ; Empirical analysis ; Engineering ; Estimation ; Female ; Head and neck ; Head and Neck Neoplasms - blood supply ; Head and Neck Neoplasms - diagnosis ; Head and Neck Neoplasms - metabolism ; Hemoglobin ; Hemoglobins - analysis ; Humans ; Imaging systems ; Linear equations ; Mathematical models ; Medical diagnosis ; Medical prognosis ; Medical screening ; Mimicry ; Monte Carlo simulation ; Morphology ; Neoplasms - blood supply ; Neoplasms - diagnosis ; Neoplasms - metabolism ; Neovascularization, Pathologic - diagnosis ; Neovascularization, Pathologic - metabolism ; Nonlinear equations ; Oncology ; Optical properties ; Optics ; Otolaryngology ; Oxygen ; Oxygen - metabolism ; Oxygen Consumption - physiology ; Oxygen content ; Oxygen saturation ; Phantoms, Imaging ; Physics ; Physiology ; Radiation therapy ; Radiometry - instrumentation ; Radiometry - methods ; Reflectance ; Saturation ; Spectra ; Spectrum analysis ; Tissue analysis ; Tissues ; Uterine Cervical Neoplasms - blood supply ; Uterine Cervical Neoplasms - diagnosis ; Uterine Cervical Neoplasms - metabolism</subject><ispartof>PloS one, 2013-12, Vol.8 (12), p.e82977-e82977</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Hu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Hu et al 2013 Hu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-bbbae67ebfe50eeca1d6c792dbee6a3ffcf4f5de7fb12b23d663a8572eb88e643</citedby><cites>FETCH-LOGICAL-c692t-bbbae67ebfe50eeca1d6c792dbee6a3ffcf4f5de7fb12b23d663a8572eb88e643</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/PMC3865147/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3865147/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24358243$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Coles, Jonathan A.</contributor><creatorcontrib>Hu, Fangyao</creatorcontrib><creatorcontrib>Vishwanath, Karthik</creatorcontrib><creatorcontrib>Lo, Justin</creatorcontrib><creatorcontrib>Erkanli, Alaattin</creatorcontrib><creatorcontrib>Mulvey, Christine</creatorcontrib><creatorcontrib>Lee, Walter T</creatorcontrib><creatorcontrib>Ramanujam, Nimmi</creatorcontrib><title>Rapid determination of oxygen saturation and vascularity for cancer detection</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications.</description><subject>Algorithms</subject><subject>Anemia</subject><subject>Biology</subject><subject>Biomedical engineering</subject><subject>Biopsy</subject><subject>Breast Neoplasms - blood supply</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - metabolism</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Cervical cancer</subject><subject>Cervical Intraepithelial Neoplasia - blood supply</subject><subject>Cervical Intraepithelial Neoplasia - diagnosis</subject><subject>Cervical Intraepithelial Neoplasia - metabolism</subject><subject>Computer Simulation</subject><subject>Diagnosis</subject><subject>Early Detection of Cancer - methods</subject><subject>Empirical analysis</subject><subject>Engineering</subject><subject>Estimation</subject><subject>Female</subject><subject>Head and neck</subject><subject>Head and Neck Neoplasms - blood supply</subject><subject>Head and Neck Neoplasms - diagnosis</subject><subject>Head and Neck Neoplasms - metabolism</subject><subject>Hemoglobin</subject><subject>Hemoglobins - analysis</subject><subject>Humans</subject><subject>Imaging systems</subject><subject>Linear equations</subject><subject>Mathematical models</subject><subject>Medical diagnosis</subject><subject>Medical prognosis</subject><subject>Medical screening</subject><subject>Mimicry</subject><subject>Monte Carlo simulation</subject><subject>Morphology</subject><subject>Neoplasms - blood supply</subject><subject>Neoplasms - diagnosis</subject><subject>Neoplasms - metabolism</subject><subject>Neovascularization, Pathologic - diagnosis</subject><subject>Neovascularization, Pathologic - metabolism</subject><subject>Nonlinear equations</subject><subject>Oncology</subject><subject>Optical properties</subject><subject>Optics</subject><subject>Otolaryngology</subject><subject>Oxygen</subject><subject>Oxygen - metabolism</subject><subject>Oxygen Consumption - physiology</subject><subject>Oxygen content</subject><subject>Oxygen saturation</subject><subject>Phantoms, Imaging</subject><subject>Physics</subject><subject>Physiology</subject><subject>Radiation therapy</subject><subject>Radiometry - instrumentation</subject><subject>Radiometry - methods</subject><subject>Reflectance</subject><subject>Saturation</subject><subject>Spectra</subject><subject>Spectrum analysis</subject><subject>Tissue analysis</subject><subject>Tissues</subject><subject>Uterine Cervical Neoplasms - blood supply</subject><subject>Uterine Cervical Neoplasms - diagnosis</subject><subject>Uterine Cervical Neoplasms - metabolism</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkltr3DAQhU1padK0_6C0hkJpH3ariy1pXwoh9LKQEkgvr2Isj3YVvNZGskP231fOOmFd8lAMthl_54xndLLsNSVzyiX9dOX70EIz3_oW54QotpDySXZMF5zNBCP86cH7UfYixitCSq6EeJ4dsYKXKt2Osx-XsHV1XmOHYeNa6Jxvc29zf7tbYZtH6PqwL0Jb5zcQTd9AcN0utz7kBlqD4U5tBuhl9sxCE_HV-DzJfn_98uvs--z84tvy7PR8ZsSCdbOqqgCFxMpiSRAN0FoYuWB1hSiAW2tsYcsapa0oqxivheCgSsmwUgpFwU-yt3vfbeOjHjcRNS2EEpQQzhKx3BO1hyu9DW4DYac9OH1X8GGlIXTONKilsUljlOQMitRS1URJZpAmOzBKJK_PY7e-2mBtsO0CNBPT6ZfWrfXK3-i07ZIWMhl8GA2Cv-4xdnrjosGmgRZ9P_z3gsh0IsUw2bt_0MenG6kVpAFca33qawZTfVpIxUpBC56o-SNUumrcOJNiY12qTwQfJ4LEdHjbraCPUS9_Xv4_e_Fnyr4_YNcITbeOvumHyMQpWOxBE3yMAe3DkinRQ-rvt6GH1Osx9Un25vCAHkT3Med_AYCu_ms</recordid><startdate>20131216</startdate><enddate>20131216</enddate><creator>Hu, Fangyao</creator><creator>Vishwanath, Karthik</creator><creator>Lo, Justin</creator><creator>Erkanli, Alaattin</creator><creator>Mulvey, Christine</creator><creator>Lee, Walter T</creator><creator>Ramanujam, Nimmi</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20131216</creationdate><title>Rapid determination of oxygen saturation and vascularity for cancer detection</title><author>Hu, Fangyao ; Vishwanath, Karthik ; Lo, Justin ; Erkanli, Alaattin ; Mulvey, Christine ; Lee, Walter T ; Ramanujam, Nimmi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-bbbae67ebfe50eeca1d6c792dbee6a3ffcf4f5de7fb12b23d663a8572eb88e643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Anemia</topic><topic>Biology</topic><topic>Biomedical engineering</topic><topic>Biopsy</topic><topic>Breast Neoplasms - blood supply</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - metabolism</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Cervical cancer</topic><topic>Cervical Intraepithelial Neoplasia - blood supply</topic><topic>Cervical Intraepithelial Neoplasia - diagnosis</topic><topic>Cervical Intraepithelial Neoplasia - metabolism</topic><topic>Computer Simulation</topic><topic>Diagnosis</topic><topic>Early Detection of Cancer - methods</topic><topic>Empirical analysis</topic><topic>Engineering</topic><topic>Estimation</topic><topic>Female</topic><topic>Head and neck</topic><topic>Head and Neck Neoplasms - blood supply</topic><topic>Head and Neck Neoplasms - diagnosis</topic><topic>Head and Neck Neoplasms - metabolism</topic><topic>Hemoglobin</topic><topic>Hemoglobins - analysis</topic><topic>Humans</topic><topic>Imaging systems</topic><topic>Linear equations</topic><topic>Mathematical models</topic><topic>Medical diagnosis</topic><topic>Medical prognosis</topic><topic>Medical screening</topic><topic>Mimicry</topic><topic>Monte Carlo simulation</topic><topic>Morphology</topic><topic>Neoplasms - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Fangyao</au><au>Vishwanath, Karthik</au><au>Lo, Justin</au><au>Erkanli, Alaattin</au><au>Mulvey, Christine</au><au>Lee, Walter T</au><au>Ramanujam, Nimmi</au><au>Coles, Jonathan A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rapid determination of oxygen saturation and vascularity for cancer detection</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-12-16</date><risdate>2013</risdate><volume>8</volume><issue>12</issue><spage>e82977</spage><epage>e82977</epage><pages>e82977-e82977</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A rapid heuristic ratiometric analysis for estimating tissue hemoglobin concentration and oxygen saturation from measured tissue diffuse reflectance spectra is presented. The analysis was validated in tissue-mimicking phantoms and applied to clinical measurements in head and neck, cervical and breast tissues. The analysis works in two steps. First, a linear equation that translates the ratio of the diffuse reflectance at 584 nm and 545 nm to estimate the tissue hemoglobin concentration using a Monte Carlo-based lookup table was developed. This equation is independent of tissue scattering and oxygen saturation. Second, the oxygen saturation was estimated using non-linear logistic equations that translate the ratio of the diffuse reflectance spectra at 539 nm to 545 nm into the tissue oxygen saturation. Correlations coefficients of 0.89 (0.86), 0.77 (0.71) and 0.69 (0.43) were obtained for the tissue hemoglobin concentration (oxygen saturation) values extracted using the full spectral Monte Carlo and the ratiometric analysis, for clinical measurements in head and neck, breast and cervical tissues, respectively. The ratiometric analysis was more than 4000 times faster than the inverse Monte Carlo analysis for estimating tissue hemoglobin concentration and oxygen saturation in simulated phantom experiments. In addition, the discriminatory power of the two analyses was similar. These results show the potential of such empirical tools to rapidly estimate tissue hemoglobin in real-time spectral imaging applications.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24358243</pmid><doi>10.1371/journal.pone.0082977</doi><tpages>e82977</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Algorithms Anemia Biology Biomedical engineering Biopsy Breast Neoplasms - blood supply Breast Neoplasms - diagnosis Breast Neoplasms - metabolism Cancer Cancer therapies Cervical cancer Cervical Intraepithelial Neoplasia - blood supply Cervical Intraepithelial Neoplasia - diagnosis Cervical Intraepithelial Neoplasia - metabolism Computer Simulation Diagnosis Early Detection of Cancer - methods Empirical analysis Engineering Estimation Female Head and neck Head and Neck Neoplasms - blood supply Head and Neck Neoplasms - diagnosis Head and Neck Neoplasms - metabolism Hemoglobin Hemoglobins - analysis Humans Imaging systems Linear equations Mathematical models Medical diagnosis Medical prognosis Medical screening Mimicry Monte Carlo simulation Morphology Neoplasms - blood supply Neoplasms - diagnosis Neoplasms - metabolism Neovascularization, Pathologic - diagnosis Neovascularization, Pathologic - metabolism Nonlinear equations Oncology Optical properties Optics Otolaryngology Oxygen Oxygen - metabolism Oxygen Consumption - physiology Oxygen content Oxygen saturation Phantoms, Imaging Physics Physiology Radiation therapy Radiometry - instrumentation Radiometry - methods Reflectance Saturation Spectra Spectrum analysis Tissue analysis Tissues Uterine Cervical Neoplasms - blood supply Uterine Cervical Neoplasms - diagnosis Uterine Cervical Neoplasms - metabolism |
| title | Rapid determination of oxygen saturation and vascularity for cancer detection |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T06%3A04%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Rapid%20determination%20of%20oxygen%20saturation%20and%20vascularity%20for%20cancer%20detection&rft.jtitle=PloS%20one&rft.au=Hu,%20Fangyao&rft.date=2013-12-16&rft.volume=8&rft.issue=12&rft.spage=e82977&rft.epage=e82977&rft.pages=e82977-e82977&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0082977&rft_dat=%3Cgale_plos_%3EA478256143%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1468610032&rft_id=info:pmid/24358243&rft_galeid=A478256143&rft_doaj_id=oai_doaj_org_article_7cf100c8732a47fb8d0872ce1146ac86&rfr_iscdi=true |