Quantification and Statistical Analysis Methods for Vessel Wall Components from Stained Images with Masson's Trichrome
Identifieur interne : 000073 ( Pmc/Curation ); précédent : 000072; suivant : 000074Quantification and Statistical Analysis Methods for Vessel Wall Components from Stained Images with Masson's Trichrome
Auteurs : Pablo Hernández-Morera [Espagne] ; Irene Casta O-González [Espagne] ; Carlos M. Travieso-González [Espagne] ; Blanca Mompe Corredera [Espagne] ; Francisco Ortega-Santana [Espagne]Source :
- PLoS ONE [ 1932-6203 ] ; 2016.
Abstract
To develop a digital image processing method to quantify structural components (smooth muscle fibers and extracellular matrix) in the vessel wall stained with Masson’s trichrome, and a statistical method suitable for small sample sizes to analyze the results previously obtained.
The quantification method comprises two stages. The pre-processing stage improves tissue image appearance and the vessel wall area is delimited. In the feature extraction stage, the vessel wall components are segmented by grouping pixels with a similar color. The area of each component is calculated by normalizing the number of pixels of each group by the vessel wall area. Statistical analyses are implemented by permutation tests, based on resampling without replacement from the set of the observed data to obtain a sampling distribution of an estimator. The implementation can be parallelized on a multicore machine to reduce execution time.
The methods have been tested on 48 vessel wall samples of the internal saphenous vein stained with Masson’s trichrome. The results show that the segmented areas are consistent with the perception of a team of doctors and demonstrate good correlation between the expert judgments and the measured parameters for evaluating vessel wall changes.
The proposed methodology offers a powerful tool to quantify some components of the vessel wall. It is more objective, sensitive and accurate than the biochemical and qualitative methods traditionally used. The permutation tests are suitable statistical techniques to analyze the numerical measurements obtained when the underlying assumptions of the other statistical techniques are not met.
Url:
DOI: 10.1371/journal.pone.0146954
PubMed: 26761643
PubMed Central: 4711946
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Quantification and Statistical Analysis Methods for Vessel Wall Components from Stained Images with Masson's Trichrome</title><author><name sortKey="Hernandez Morera, Pablo" sort="Hernandez Morera, Pablo" uniqKey="Hernandez Morera P" first="Pablo" last="Hernández-Morera">Pablo Hernández-Morera</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>IUMA Information and Communication Systems, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>IUMA Information and Communication Systems, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff006"><addr-line>Department of Telematic Engineering, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Telematic Engineering, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria</wicri:regionArea></affiliation></author><author><name sortKey="Casta O Gonzalez, Irene" sort="Casta O Gonzalez, Irene" uniqKey="Casta O Gonzalez I" first="Irene" last="Casta O-González">Irene Casta O-González</name><affiliation wicri:level="1"><nlm:aff id="aff002"><addr-line>Department of Dermatology, Doctor Negrin University Hospital of Gran Canaria, Las Palmas de Gran Canaria, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Dermatology, Doctor Negrin University Hospital of Gran Canaria, Las Palmas de Gran Canaria</wicri:regionArea></affiliation></author><author><name sortKey="Travieso Gonzalez, Carlos M" sort="Travieso Gonzalez, Carlos M" uniqKey="Travieso Gonzalez C" first="Carlos M." last="Travieso-González">Carlos M. 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Travieso-González</name><affiliation wicri:level="1"><nlm:aff id="aff003"><addr-line>Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria</wicri:regionArea></affiliation></author><author><name sortKey="Mompe Corredera, Blanca" sort="Mompe Corredera, Blanca" uniqKey="Mompe Corredera B" first="Blanca" last="Mompe Corredera">Blanca Mompe Corredera</name><affiliation wicri:level="1"><nlm:aff id="aff004"><addr-line>Department of Morphology, University of Las Palmas de Gran Canaria, Campus de San Cristobal, Las Palmas de Gran Canaria, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Morphology, University of Las Palmas de Gran Canaria, Campus de San Cristobal, Las Palmas de Gran Canaria</wicri:regionArea></affiliation></author><author><name sortKey="Ortega Santana, Francisco" sort="Ortega Santana, Francisco" uniqKey="Ortega Santana F" first="Francisco" last="Ortega-Santana">Francisco Ortega-Santana</name><affiliation wicri:level="1"><nlm:aff id="aff004"><addr-line>Department of Morphology, University of Las Palmas de Gran Canaria, Campus de San Cristobal, Las Palmas de Gran Canaria, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Morphology, University of Las Palmas de Gran Canaria, Campus de San Cristobal, Las Palmas de Gran Canaria</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff005"><addr-line>CliniVar, Clínica de Varices, Las Palmas de Gran Canaria, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>CliniVar, Clínica de Varices, Las Palmas de Gran Canaria</wicri:regionArea></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Purpose</title><p>To develop a digital image processing method to quantify structural components (smooth muscle fibers and extracellular matrix) in the vessel wall stained with Masson’s trichrome, and a statistical method suitable for small sample sizes to analyze the results previously obtained.</p></sec><sec id="sec002"><title>Methods</title><p>The quantification method comprises two stages. The pre-processing stage improves tissue image appearance and the vessel wall area is delimited. In the feature extraction stage, the vessel wall components are segmented by grouping pixels with a similar color. The area of each component is calculated by normalizing the number of pixels of each group by the vessel wall area. Statistical analyses are implemented by permutation tests, based on resampling without replacement from the set of the observed data to obtain a sampling distribution of an estimator. The implementation can be parallelized on a multicore machine to reduce execution time.</p></sec><sec id="sec003"><title>Results</title><p>The methods have been tested on 48 vessel wall samples of the internal saphenous vein stained with Masson’s trichrome. The results show that the segmented areas are consistent with the perception of a team of doctors and demonstrate good correlation between the expert judgments and the measured parameters for evaluating vessel wall changes.</p></sec><sec id="sec004"><title>Conclusion</title><p>The proposed methodology offers a powerful tool to quantify some components of the vessel wall. It is more objective, sensitive and accurate than the biochemical and qualitative methods traditionally used. The permutation tests are suitable statistical techniques to analyze the numerical measurements obtained when the underlying assumptions of the other statistical techniques are not met.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Evans, Cj" uniqKey="Evans C">CJ Evans</name></author><author><name sortKey="Fowkes, Fg" uniqKey="Fowkes F">FG Fowkes</name></author><author><name sortKey="Ruckley, Cv" uniqKey="Ruckley C">CV Ruckley</name></author><author><name sortKey="Lee, Aj" uniqKey="Lee A">AJ Lee</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Jantet, G" uniqKey="Jantet G">G Jantet</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ortega Santana, F" uniqKey="Ortega Santana F">F Ortega-Santana</name></author><author><name sortKey="Limi Ana, Jm" uniqKey="Limi Ana J">JM Limiñana</name></author><author><name sortKey="Ruano, F" uniqKey="Ruano F">F 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, CA USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26761643</article-id><article-id pub-id-type="pmc">4711946</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0146954</article-id><article-id pub-id-type="publisher-id">PONE-D-15-37490</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Quantification and Statistical Analysis Methods for Vessel Wall Components from Stained Images with Masson's Trichrome</article-title><alt-title alt-title-type="running-head">Quantification Method of Vessel Wall Components</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Hernández-Morera</surname><given-names>Pablo</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff006"><sup>6</sup></xref><xref rid="cor001" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Castaño-González</surname><given-names>Irene</given-names></name><xref ref-type="aff" rid="aff002"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Travieso-González</surname><given-names>Carlos M.</given-names></name><xref ref-type="aff" rid="aff003"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Mompeó-Corredera</surname><given-names>Blanca</given-names></name><xref ref-type="aff" rid="aff004"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ortega-Santana</surname><given-names>Francisco</given-names></name><xref ref-type="aff" rid="aff004"><sup>4</sup></xref><xref ref-type="aff" rid="aff005"><sup>5</sup></xref></contrib></contrib-group><aff id="aff001"><label>1</label><addr-line>IUMA Information and Communication Systems, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria, Spain</addr-line></aff><aff id="aff002"><label>2</label><addr-line>Department of Dermatology, Doctor Negrin University Hospital of Gran Canaria, Las Palmas de Gran Canaria, Spain</addr-line></aff><aff id="aff003"><label>3</label><addr-line>Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria, Spain</addr-line></aff><aff id="aff004"><label>4</label><addr-line>Department of Morphology, University of Las Palmas de Gran Canaria, Campus de San Cristobal, Las Palmas de Gran Canaria, Spain</addr-line></aff><aff id="aff005"><label>5</label><addr-line>CliniVar, Clínica de Varices, Las Palmas de Gran Canaria, Spain</addr-line></aff><aff id="aff006"><label>6</label><addr-line>Department of Telematic Engineering, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria, Spain</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Cappello</surname><given-names>Francesco</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>University of Palermo, ITALY</addr-line></aff><author-notes><fn fn-type="conflict" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con" id="contrib001"><p>Conceived and designed the experiments: PHM ICG CTG BMC FOS. Performed the experiments: PHM ICG CTG. Analyzed the data: PHM ICG BMC FOS. Contributed reagents/materials/analysis tools: PHM ICG BMC FOS. Wrote the paper: PHM ICG CTG BMC FOS.</p></fn><corresp id="cor001">* E-mail: <email>pablo.hernandez@ulpgc.es</email></corresp></author-notes><pub-date pub-type="epub"><day>13</day><month>1</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>11</volume><issue>1</issue><elocation-id>e0146954</elocation-id><history><date date-type="received"><day>7</day><month>9</month><year>2015</year></date><date date-type="accepted"><day>22</day><month>12</month><year>2015</year></date></history><permissions><copyright-statement>© 2016 Hernández-Morera et al</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>Hernández-Morera et al</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0146954.pdf"></self-uri><abstract><sec id="sec001"><title>Purpose</title><p>To develop a digital image processing method to quantify structural components (smooth muscle fibers and extracellular matrix) in the vessel wall stained with Masson’s trichrome, and a statistical method suitable for small sample sizes to analyze the results previously obtained.</p></sec><sec id="sec002"><title>Methods</title><p>The quantification method comprises two stages. The pre-processing stage improves tissue image appearance and the vessel wall area is delimited. In the feature extraction stage, the vessel wall components are segmented by grouping pixels with a similar color. The area of each component is calculated by normalizing the number of pixels of each group by the vessel wall area. Statistical analyses are implemented by permutation tests, based on resampling without replacement from the set of the observed data to obtain a sampling distribution of an estimator. The implementation can be parallelized on a multicore machine to reduce execution time.</p></sec><sec id="sec003"><title>Results</title><p>The methods have been tested on 48 vessel wall samples of the internal saphenous vein stained with Masson’s trichrome. The results show that the segmented areas are consistent with the perception of a team of doctors and demonstrate good correlation between the expert judgments and the measured parameters for evaluating vessel wall changes.</p></sec><sec id="sec004"><title>Conclusion</title><p>The proposed methodology offers a powerful tool to quantify some components of the vessel wall. It is more objective, sensitive and accurate than the biochemical and qualitative methods traditionally used. The permutation tests are suitable statistical techniques to analyze the numerical measurements obtained when the underlying assumptions of the other statistical techniques are not met.</p></sec></abstract><funding-group><funding-statement>The authors have no support or funding to report.</funding-statement></funding-group><counts><fig-count count="9"></fig-count><table-count count="2"></table-count><page-count count="18"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>The full database analyzed in this study is available from in the Dryad Digital Repository (doi:<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5061/dryad.fh0m2">10.5061/dryad.fh0m2</ext-link>).</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>The full database analyzed in this study is available from in the Dryad Digital Repository (doi:<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5061/dryad.fh0m2">10.5061/dryad.fh0m2</ext-link>).</p></notes></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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