Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization.
Identifieur interne : 000B73 ( PubMed/Corpus ); précédent : 000B72; suivant : 000B74Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization.
Auteurs : S. Candefjord ; Y. Murayama ; M. Nyberg ; J. Hallberg ; K. Ramser ; B. Ljungberg ; A. Bergh ; O A LindahlSource :
- Journal of medical engineering & technology [ 1464-522X ] ; 2012.
English descriptors
- KwdEn :
- MESH :
- chemistry : Prostate, Prostatic Neoplasms.
- instrumentation : Spectrum Analysis, Raman.
- methods : Histocytochemistry, Spectrum Analysis, Raman.
- Aged, Animals, Humans, Male, Optical Fibers, Reproducibility of Results, Statistics, Nonparametric, Support Vector Machine, Swine.
Abstract
The tactile resonance method (TRM) and Raman spectroscopy (RS) are promising for tissue characterization in vivo. Our goal is to combine these techniques into one instrument, to use TRM for swift scanning, and RS for increasing the diagnostic power. The aim of this study was to determine the classification accuracy, using support vector machines, for measurements on porcine tissue and also produce preliminary data on human prostate tissue. This was done by developing a new experimental set-up combining micro-scale TRM-scanning haptic microscopy (SHM)-for assessing stiffness on a micro-scale, with fibre optic RS measurements for assessing biochemical content. We compared the accuracy using SHM alone versus SHM combined with RS, for different degrees of tissue homogeneity. The cross-validation classification accuracy for healthy porcine tissue types using SHM alone was 65-81%, and when RS was added it increased to 81-87%. The accuracy for healthy and cancerous human tissue was 67-70% when only SHM was used, and increased to 72-77% for the combined measurements. This shows that the potential for swift and accurate classification of healthy and cancerous prostate tissue is high. This is promising for developing a tool for probing the surgical margins during prostate cancer surgery.
DOI: 10.3109/03091902.2012.687035
PubMed: 22762445
Links to Exploration step
pubmed:22762445Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization.</title><author><name sortKey="Candefjord, S" sort="Candefjord, S" uniqKey="Candefjord S" first="S" last="Candefjord">S. Candefjord</name><affiliation><nlm:affiliation>Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 971 87, Luleå, Sweden. stefan.candefjord@chalmers.se</nlm:affiliation></affiliation></author><author><name sortKey="Murayama, Y" sort="Murayama, Y" uniqKey="Murayama Y" first="Y" last="Murayama">Y. Murayama</name></author><author><name sortKey="Nyberg, M" sort="Nyberg, M" uniqKey="Nyberg M" first="M" last="Nyberg">M. Nyberg</name></author><author><name sortKey="Hallberg, J" sort="Hallberg, J" uniqKey="Hallberg J" first="J" last="Hallberg">J. Hallberg</name></author><author><name sortKey="Ramser, K" sort="Ramser, K" uniqKey="Ramser K" first="K" last="Ramser">K. Ramser</name></author><author><name sortKey="Ljungberg, B" sort="Ljungberg, B" uniqKey="Ljungberg B" first="B" last="Ljungberg">B. Ljungberg</name></author><author><name sortKey="Bergh, A" sort="Bergh, A" uniqKey="Bergh A" first="A" last="Bergh">A. Bergh</name></author><author><name sortKey="Lindahl, O A" sort="Lindahl, O A" uniqKey="Lindahl O" first="O A" last="Lindahl">O A Lindahl</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="doi">10.3109/03091902.2012.687035</idno><idno type="RBID">pubmed:22762445</idno><idno type="pmid">22762445</idno><idno type="wicri:Area/PubMed/Corpus">000B73</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization.</title><author><name sortKey="Candefjord, S" sort="Candefjord, S" uniqKey="Candefjord S" first="S" last="Candefjord">S. Candefjord</name><affiliation><nlm:affiliation>Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 971 87, Luleå, Sweden. stefan.candefjord@chalmers.se</nlm:affiliation></affiliation></author><author><name sortKey="Murayama, Y" sort="Murayama, Y" uniqKey="Murayama Y" first="Y" last="Murayama">Y. Murayama</name></author><author><name sortKey="Nyberg, M" sort="Nyberg, M" uniqKey="Nyberg M" first="M" last="Nyberg">M. Nyberg</name></author><author><name sortKey="Hallberg, J" sort="Hallberg, J" uniqKey="Hallberg J" first="J" last="Hallberg">J. Hallberg</name></author><author><name sortKey="Ramser, K" sort="Ramser, K" uniqKey="Ramser K" first="K" last="Ramser">K. Ramser</name></author><author><name sortKey="Ljungberg, B" sort="Ljungberg, B" uniqKey="Ljungberg B" first="B" last="Ljungberg">B. Ljungberg</name></author><author><name sortKey="Bergh, A" sort="Bergh, A" uniqKey="Bergh A" first="A" last="Bergh">A. Bergh</name></author><author><name sortKey="Lindahl, O A" sort="Lindahl, O A" uniqKey="Lindahl O" first="O A" last="Lindahl">O A Lindahl</name></author></analytic><series><title level="j">Journal of medical engineering & technology</title><idno type="eISSN">1464-522X</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Animals</term><term>Histocytochemistry (methods)</term><term>Humans</term><term>Male</term><term>Optical Fibers</term><term>Prostate (chemistry)</term><term>Prostatic Neoplasms (chemistry)</term><term>Reproducibility of Results</term><term>Spectrum Analysis, Raman (instrumentation)</term><term>Spectrum Analysis, Raman (methods)</term><term>Statistics, Nonparametric</term><term>Support Vector Machine</term><term>Swine</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Prostate</term><term>Prostatic Neoplasms</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Spectrum Analysis, Raman</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Histocytochemistry</term><term>Spectrum Analysis, Raman</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Animals</term><term>Humans</term><term>Male</term><term>Optical Fibers</term><term>Reproducibility of Results</term><term>Statistics, Nonparametric</term><term>Support Vector Machine</term><term>Swine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The tactile resonance method (TRM) and Raman spectroscopy (RS) are promising for tissue characterization in vivo. Our goal is to combine these techniques into one instrument, to use TRM for swift scanning, and RS for increasing the diagnostic power. The aim of this study was to determine the classification accuracy, using support vector machines, for measurements on porcine tissue and also produce preliminary data on human prostate tissue. This was done by developing a new experimental set-up combining micro-scale TRM-scanning haptic microscopy (SHM)-for assessing stiffness on a micro-scale, with fibre optic RS measurements for assessing biochemical content. We compared the accuracy using SHM alone versus SHM combined with RS, for different degrees of tissue homogeneity. The cross-validation classification accuracy for healthy porcine tissue types using SHM alone was 65-81%, and when RS was added it increased to 81-87%. The accuracy for healthy and cancerous human tissue was 67-70% when only SHM was used, and increased to 72-77% for the combined measurements. This shows that the potential for swift and accurate classification of healthy and cancerous prostate tissue is high. This is promising for developing a tool for probing the surgical margins during prostate cancer surgery.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22762445</PMID><DateCreated><Year>2012</Year><Month>07</Month><Day>24</Day></DateCreated><DateCompleted><Year>2012</Year><Month>10</Month><Day>29</Day></DateCompleted><DateRevised><Year>2015</Year><Month>11</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1464-522X</ISSN><JournalIssue CitedMedium="Internet"><Volume>36</Volume><Issue>6</Issue><PubDate><Year>2012</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Journal of medical engineering & technology</Title><ISOAbbreviation>J Med Eng Technol</ISOAbbreviation></Journal><ArticleTitle>Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization.</ArticleTitle><Pagination><MedlinePgn>319-27</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3109/03091902.2012.687035</ELocationID><Abstract><AbstractText>The tactile resonance method (TRM) and Raman spectroscopy (RS) are promising for tissue characterization in vivo. Our goal is to combine these techniques into one instrument, to use TRM for swift scanning, and RS for increasing the diagnostic power. The aim of this study was to determine the classification accuracy, using support vector machines, for measurements on porcine tissue and also produce preliminary data on human prostate tissue. This was done by developing a new experimental set-up combining micro-scale TRM-scanning haptic microscopy (SHM)-for assessing stiffness on a micro-scale, with fibre optic RS measurements for assessing biochemical content. We compared the accuracy using SHM alone versus SHM combined with RS, for different degrees of tissue homogeneity. The cross-validation classification accuracy for healthy porcine tissue types using SHM alone was 65-81%, and when RS was added it increased to 81-87%. The accuracy for healthy and cancerous human tissue was 67-70% when only SHM was used, and increased to 72-77% for the combined measurements. This shows that the potential for swift and accurate classification of healthy and cancerous prostate tissue is high. This is promising for developing a tool for probing the surgical margins during prostate cancer surgery.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Candefjord</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 971 87, Luleå, Sweden. stefan.candefjord@chalmers.se</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Murayama</LastName><ForeName>Y</ForeName><Initials>Y</Initials></Author><Author ValidYN="Y"><LastName>Nyberg</LastName><ForeName>M</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Hallberg</LastName><ForeName>J</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Ramser</LastName><ForeName>K</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Ljungberg</LastName><ForeName>B</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Bergh</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Lindahl</LastName><ForeName>O A</ForeName><Initials>OA</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>07</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Med Eng Technol</MedlineTA><NlmUniqueID>7702125</NlmUniqueID><ISSNLinking>0309-1902</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000368">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000818">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006651">Histocytochemistry</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D055100">Optical Fibers</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011467">Prostate</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000737">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011471">Prostatic Neoplasms</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000737">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015203">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013059">Spectrum Analysis, Raman</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018709">Statistics, Nonparametric</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D060388">Support Vector Machine</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013552">Swine</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="aheadofprint"><Year>2012</Year><Month>7</Month><Day>4</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>7</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>7</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>10</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.3109/03091902.2012.687035</ArticleId><ArticleId IdType="pubmed">22762445</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B73 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000B73 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:22762445
|texte= Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:22762445" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |