System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues
The feasibility of spatial frequency domain imaging (SFDI) for breast surgical margin assessment was evaluated in tissue-simulating phantoms and in fully intact lumpectomy specimens at the time of surgery. Phantom data was evaluated according to contrast-detail resolution, quantitative accuracy and...
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| Veröffentlicht in: | Journal of biomedical optics 2013-03, Vol.18 (3), p.036012-036012 |
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| creator | Laughney, Ashley M Krishnaswamy, Venkataramanan Rice, Tyler B Cuccia, David J Barth, Richard J Tromberg, Bruce J Paulsen, Keith D Pogue, Brian W Wells, Wendy A |
| description | The feasibility of spatial frequency domain imaging (SFDI) for breast surgical margin assessment was evaluated in tissue-simulating phantoms and in fully intact lumpectomy specimens at the time of surgery. Phantom data was evaluated according to contrast-detail resolution, quantitative accuracy and model-data goodness of fit, where optical parameters were estimated by minimizing the residual sum of squares between the measured modulation amplitude and its solutions, modeled according to diffusion and scaled-Monte Carlo simulations. In contrast-detail phantoms, a 1.25-mm-diameter surface inclusion was detectable for scattering contrast >28%; a fraction of this scattering contrast (7%) was detectable for a 10 mm surface inclusion and at least 33% scattering contrast was detected up to 1.5 mm below the phantom surface, a probing depth relevant to breast surgical margin assessment. Recovered hemoglobin concentrations were insensitive to changes in scattering, except for overestimation at visible wavelengths for total hemoglobin concentrations |
| doi_str_mv | 10.1117/1.JBO.18.3.036012 |
| format | Article |
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Phantom data was evaluated according to contrast-detail resolution, quantitative accuracy and model-data goodness of fit, where optical parameters were estimated by minimizing the residual sum of squares between the measured modulation amplitude and its solutions, modeled according to diffusion and scaled-Monte Carlo simulations. In contrast-detail phantoms, a 1.25-mm-diameter surface inclusion was detectable for scattering contrast >28%; a fraction of this scattering contrast (7%) was detectable for a 10 mm surface inclusion and at least 33% scattering contrast was detected up to 1.5 mm below the phantom surface, a probing depth relevant to breast surgical margin assessment. Recovered hemoglobin concentrations were insensitive to changes in scattering, except for overestimation at visible wavelengths for total hemoglobin concentrations <15 μM. The scattering amplitude increased linearly with scattering concentration, but the scattering slope depended on both the particle size and number density. Goodness of fit was comparable for the diffusion and scaled-Monte Carlo models of transport in spatially modulated, near-infrared reflectance acquired from 47 lumpectomy tissues, but recovered absorption parameters varied more linearly with expected hemoglobin concentration in liquid phantoms for the scaled-Monte Carlo forward model. SFDI could potentially reduce the high secondary excision rate associated with breast conserving surgery; its clinical translation further requires reduced image reconstruction time and smart inking strategies.</description><identifier>ISSN: 1083-3668</identifier><identifier>EISSN: 1560-2281</identifier><identifier>DOI: 10.1117/1.JBO.18.3.036012</identifier><identifier>PMID: 23525360</identifier><language>eng</language><publisher>United States: Society of Photo-Optical Instrumentation Engineers</publisher><subject>Animals ; Assessments ; Breast ; Breast - pathology ; Breast - surgery ; Breast Neoplasms - pathology ; Breast Neoplasms - surgery ; Computer Simulation ; Female ; Frequency domains ; Hemoglobin ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging ; Inclusions ; Mastectomy, Segmental ; Mathematical models ; Models, Biological ; Monte Carlo Method ; Phantoms, Imaging ; Research Papers: Imaging ; Scattering ; Scattering, Radiation ; Spectroscopy, Near-Infrared - instrumentation ; Spectroscopy, Near-Infrared - methods ; Swine</subject><ispartof>Journal of biomedical optics, 2013-03, Vol.18 (3), p.036012-036012</ispartof><rights>The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.</rights><rights>The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c617t-c5a71a5af0dc8952fee2da1ae6b8f1c01acd377ba2080ea900324706b924bff43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605471/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605471/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23525360$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Laughney, Ashley M</creatorcontrib><creatorcontrib>Krishnaswamy, Venkataramanan</creatorcontrib><creatorcontrib>Rice, Tyler B</creatorcontrib><creatorcontrib>Cuccia, David J</creatorcontrib><creatorcontrib>Barth, Richard J</creatorcontrib><creatorcontrib>Tromberg, Bruce J</creatorcontrib><creatorcontrib>Paulsen, Keith D</creatorcontrib><creatorcontrib>Pogue, Brian W</creatorcontrib><creatorcontrib>Wells, Wendy A</creatorcontrib><title>System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues</title><title>Journal of biomedical optics</title><addtitle>J. Biomed. Opt</addtitle><description>The feasibility of spatial frequency domain imaging (SFDI) for breast surgical margin assessment was evaluated in tissue-simulating phantoms and in fully intact lumpectomy specimens at the time of surgery. Phantom data was evaluated according to contrast-detail resolution, quantitative accuracy and model-data goodness of fit, where optical parameters were estimated by minimizing the residual sum of squares between the measured modulation amplitude and its solutions, modeled according to diffusion and scaled-Monte Carlo simulations. In contrast-detail phantoms, a 1.25-mm-diameter surface inclusion was detectable for scattering contrast >28%; a fraction of this scattering contrast (7%) was detectable for a 10 mm surface inclusion and at least 33% scattering contrast was detected up to 1.5 mm below the phantom surface, a probing depth relevant to breast surgical margin assessment. Recovered hemoglobin concentrations were insensitive to changes in scattering, except for overestimation at visible wavelengths for total hemoglobin concentrations <15 μM. The scattering amplitude increased linearly with scattering concentration, but the scattering slope depended on both the particle size and number density. Goodness of fit was comparable for the diffusion and scaled-Monte Carlo models of transport in spatially modulated, near-infrared reflectance acquired from 47 lumpectomy tissues, but recovered absorption parameters varied more linearly with expected hemoglobin concentration in liquid phantoms for the scaled-Monte Carlo forward model. SFDI could potentially reduce the high secondary excision rate associated with breast conserving surgery; its clinical translation further requires reduced image reconstruction time and smart inking strategies.</description><subject>Animals</subject><subject>Assessments</subject><subject>Breast</subject><subject>Breast - pathology</subject><subject>Breast - surgery</subject><subject>Breast Neoplasms - pathology</subject><subject>Breast Neoplasms - surgery</subject><subject>Computer Simulation</subject><subject>Female</subject><subject>Frequency domains</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Inclusions</subject><subject>Mastectomy, Segmental</subject><subject>Mathematical models</subject><subject>Models, Biological</subject><subject>Monte Carlo Method</subject><subject>Phantoms, Imaging</subject><subject>Research Papers: Imaging</subject><subject>Scattering</subject><subject>Scattering, Radiation</subject><subject>Spectroscopy, Near-Infrared - instrumentation</subject><subject>Spectroscopy, Near-Infrared - methods</subject><subject>Swine</subject><issn>1083-3668</issn><issn>1560-2281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqVkU1v1DAQhiMEoqXwA7ggH7ls8NiJk70glZYtoEpFAi5crIkz3rrKV22n0vLr8XbL8qEKxMmW532fmfGbZc-B5wBQvYL8w5uLHOpc5lwqDuJBdgil4gshaniY7ryWC6lUfZA9CeGKc16rpXqcHQhZijI5DjP_aRMi9QwH7DbBBTZaFiaMDjtmPV3PNJgNa8ce3cBcj2s3rJkdPbuecYguJuUNsR6naVvYmme_dga7bsM8BTKRWtZ4whBZdCHMFJ5mjyx2gZ7dnUfZl9XbzyfvFucXZ-9Pjs8XRkEVF6bECrBEy1tTL0thiUSLgKSa2oLhgKaVVdWg4DUnXHIuRVFx1SxF0VhbyKPs9Y47zU1PraEheuz05NMafqNHdPr3yuAu9Xq80eljyqKCBHh5B_Bj-ogQde-Coa7DgcY5aFAVlEVZ1cW_pRKWSopK8SSFndT4MQRPdj8RcL2NVYNOsWqotdS7WJPnxa-r7B0_ckyCrztBmBzpq3H2Kc-g0ZvLlM8e981NP9nWJc3t07GPznT08XT1Z2c9tTbB8_vgfxt3dZ_h_zt_B-R-50A</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Laughney, Ashley M</creator><creator>Krishnaswamy, Venkataramanan</creator><creator>Rice, Tyler B</creator><creator>Cuccia, David J</creator><creator>Barth, Richard J</creator><creator>Tromberg, Bruce J</creator><creator>Paulsen, Keith D</creator><creator>Pogue, Brian W</creator><creator>Wells, Wendy A</creator><general>Society of Photo-Optical Instrumentation Engineers</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><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope><scope>5PM</scope></search><sort><creationdate>20130301</creationdate><title>System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues</title><author>Laughney, Ashley M ; Krishnaswamy, Venkataramanan ; Rice, Tyler B ; Cuccia, David J ; Barth, Richard J ; Tromberg, Bruce J ; Paulsen, Keith D ; Pogue, Brian W ; Wells, Wendy A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c617t-c5a71a5af0dc8952fee2da1ae6b8f1c01acd377ba2080ea900324706b924bff43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Animals</topic><topic>Assessments</topic><topic>Breast</topic><topic>Breast - pathology</topic><topic>Breast - surgery</topic><topic>Breast Neoplasms - pathology</topic><topic>Breast Neoplasms - surgery</topic><topic>Computer Simulation</topic><topic>Female</topic><topic>Frequency domains</topic><topic>Hemoglobin</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Inclusions</topic><topic>Mastectomy, Segmental</topic><topic>Mathematical models</topic><topic>Models, Biological</topic><topic>Monte Carlo Method</topic><topic>Phantoms, Imaging</topic><topic>Research Papers: Imaging</topic><topic>Scattering</topic><topic>Scattering, Radiation</topic><topic>Spectroscopy, Near-Infrared - instrumentation</topic><topic>Spectroscopy, Near-Infrared - methods</topic><topic>Swine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Laughney, Ashley M</creatorcontrib><creatorcontrib>Krishnaswamy, Venkataramanan</creatorcontrib><creatorcontrib>Rice, Tyler B</creatorcontrib><creatorcontrib>Cuccia, David J</creatorcontrib><creatorcontrib>Barth, Richard J</creatorcontrib><creatorcontrib>Tromberg, Bruce J</creatorcontrib><creatorcontrib>Paulsen, Keith D</creatorcontrib><creatorcontrib>Pogue, Brian W</creatorcontrib><creatorcontrib>Wells, Wendy A</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><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of biomedical optics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Laughney, Ashley M</au><au>Krishnaswamy, Venkataramanan</au><au>Rice, Tyler B</au><au>Cuccia, David J</au><au>Barth, Richard J</au><au>Tromberg, Bruce J</au><au>Paulsen, Keith D</au><au>Pogue, Brian W</au><au>Wells, Wendy A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues</atitle><jtitle>Journal of biomedical optics</jtitle><addtitle>J. Biomed. Opt</addtitle><date>2013-03-01</date><risdate>2013</risdate><volume>18</volume><issue>3</issue><spage>036012</spage><epage>036012</epage><pages>036012-036012</pages><issn>1083-3668</issn><eissn>1560-2281</eissn><abstract>The feasibility of spatial frequency domain imaging (SFDI) for breast surgical margin assessment was evaluated in tissue-simulating phantoms and in fully intact lumpectomy specimens at the time of surgery. Phantom data was evaluated according to contrast-detail resolution, quantitative accuracy and model-data goodness of fit, where optical parameters were estimated by minimizing the residual sum of squares between the measured modulation amplitude and its solutions, modeled according to diffusion and scaled-Monte Carlo simulations. In contrast-detail phantoms, a 1.25-mm-diameter surface inclusion was detectable for scattering contrast >28%; a fraction of this scattering contrast (7%) was detectable for a 10 mm surface inclusion and at least 33% scattering contrast was detected up to 1.5 mm below the phantom surface, a probing depth relevant to breast surgical margin assessment. Recovered hemoglobin concentrations were insensitive to changes in scattering, except for overestimation at visible wavelengths for total hemoglobin concentrations <15 μM. The scattering amplitude increased linearly with scattering concentration, but the scattering slope depended on both the particle size and number density. Goodness of fit was comparable for the diffusion and scaled-Monte Carlo models of transport in spatially modulated, near-infrared reflectance acquired from 47 lumpectomy tissues, but recovered absorption parameters varied more linearly with expected hemoglobin concentration in liquid phantoms for the scaled-Monte Carlo forward model. SFDI could potentially reduce the high secondary excision rate associated with breast conserving surgery; its clinical translation further requires reduced image reconstruction time and smart inking strategies.</abstract><cop>United States</cop><pub>Society of Photo-Optical Instrumentation Engineers</pub><pmid>23525360</pmid><doi>10.1117/1.JBO.18.3.036012</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Animals Assessments Breast Breast - pathology Breast - surgery Breast Neoplasms - pathology Breast Neoplasms - surgery Computer Simulation Female Frequency domains Hemoglobin Humans Image Processing, Computer-Assisted - methods Imaging Inclusions Mastectomy, Segmental Mathematical models Models, Biological Monte Carlo Method Phantoms, Imaging Research Papers: Imaging Scattering Scattering, Radiation Spectroscopy, Near-Infrared - instrumentation Spectroscopy, Near-Infrared - methods Swine |
| title | System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues |
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