Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer

Autores
Adur, Javier Fernando; Pelagati, Vitor B.; de Thomaz, Andre A.; Baratti, Mariana O.; Andrade, Liliana A. L. A.; Carvalho, Hernandes F.; Bottcher Luiz, Fátima; Lenz Cesar, Carlos
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this study we showed that second-harmonic generation (SHG) microscopy combined with precise methods for images evaluation can be used to detect structural changes in the human ovarian stroma. Using a set of scoring methods (alignment of collagen fibers, anisotropy, and correlation), we found significant differences in the distribution and organization of collagen fibers in the stroma component of serous, mucinous, endometrioid and mixed ovarian tumors as compared with normal ovary tissue. This methodology was capable to differentiate between cancerous and healthy tissue, with clear cut distinction between normal, benign, borderline, and malignant tumors of serous type. Our results indicated that the combination of different image-analysis approaches presented here represent a powerful tool to investigate collagen organization and extracellular matrix remodeling in ovarian tumors.
Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Universidade Estadual de Campinas; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pelagati, Vitor B.. Universidade Estadual de Campinas; Brasil
Fil: de Thomaz, Andre A.. Universidade Estadual de Campinas; Brasil
Fil: Baratti, Mariana O.. Universidade Estadual de Campinas; Brasil
Fil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; Brasil
Fil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; Brasil
Fil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; Brasil
Fil: Lenz Cesar, Carlos. Universidade Estadual de Campinas; Brasil
Materia
Second Harmonic Generation Microscopy
Ovarian Epithelial Tumors
Collagen Quantification
Extracellular Matrix
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/32616
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancerAdur, Javier FernandoPelagati, Vitor B.de Thomaz, Andre A.Baratti, Mariana O.Andrade, Liliana A. L. A.Carvalho, Hernandes F.Bottcher Luiz, FátimaLenz Cesar, CarlosSecond Harmonic Generation MicroscopyOvarian Epithelial TumorsCollagen QuantificationExtracellular Matrixhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In this study we showed that second-harmonic generation (SHG) microscopy combined with precise methods for images evaluation can be used to detect structural changes in the human ovarian stroma. Using a set of scoring methods (alignment of collagen fibers, anisotropy, and correlation), we found significant differences in the distribution and organization of collagen fibers in the stroma component of serous, mucinous, endometrioid and mixed ovarian tumors as compared with normal ovary tissue. This methodology was capable to differentiate between cancerous and healthy tissue, with clear cut distinction between normal, benign, borderline, and malignant tumors of serous type. Our results indicated that the combination of different image-analysis approaches presented here represent a powerful tool to investigate collagen organization and extracellular matrix remodeling in ovarian tumors.Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Universidade Estadual de Campinas; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pelagati, Vitor B.. Universidade Estadual de Campinas; BrasilFil: de Thomaz, Andre A.. Universidade Estadual de Campinas; BrasilFil: Baratti, Mariana O.. Universidade Estadual de Campinas; BrasilFil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; BrasilFil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; BrasilFil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; BrasilFil: Lenz Cesar, Carlos. Universidade Estadual de Campinas; BrasilWiley VCH Verlag2012-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32616Lenz Cesar, Carlos; Baratti, Mariana O.; de Thomaz, Andre A.; Pelagati, Vitor B.; Carvalho, Hernandes F.; Andrade, Liliana A. L. A.; et al.; Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer; Wiley VCH Verlag; Journal Of Biophotonics; 7; 1-2; 10-2012; 37-481864-063X1864-0648CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jbio.201200108/abstractinfo:eu-repo/semantics/altIdentifier/doi/10.1002/jbio.201200108info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:21:48Zoai:ri.conicet.gov.ar:11336/32616instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:21:48.785CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
title Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
spellingShingle Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
Adur, Javier Fernando
Second Harmonic Generation Microscopy
Ovarian Epithelial Tumors
Collagen Quantification
Extracellular Matrix
title_short Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
title_full Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
title_fullStr Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
title_full_unstemmed Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
title_sort Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer
dc.creator.none.fl_str_mv Adur, Javier Fernando
Pelagati, Vitor B.
de Thomaz, Andre A.
Baratti, Mariana O.
Andrade, Liliana A. L. A.
Carvalho, Hernandes F.
Bottcher Luiz, Fátima
Lenz Cesar, Carlos
author Adur, Javier Fernando
author_facet Adur, Javier Fernando
Pelagati, Vitor B.
de Thomaz, Andre A.
Baratti, Mariana O.
Andrade, Liliana A. L. A.
Carvalho, Hernandes F.
Bottcher Luiz, Fátima
Lenz Cesar, Carlos
author_role author
author2 Pelagati, Vitor B.
de Thomaz, Andre A.
Baratti, Mariana O.
Andrade, Liliana A. L. A.
Carvalho, Hernandes F.
Bottcher Luiz, Fátima
Lenz Cesar, Carlos
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Second Harmonic Generation Microscopy
Ovarian Epithelial Tumors
Collagen Quantification
Extracellular Matrix
topic Second Harmonic Generation Microscopy
Ovarian Epithelial Tumors
Collagen Quantification
Extracellular Matrix
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this study we showed that second-harmonic generation (SHG) microscopy combined with precise methods for images evaluation can be used to detect structural changes in the human ovarian stroma. Using a set of scoring methods (alignment of collagen fibers, anisotropy, and correlation), we found significant differences in the distribution and organization of collagen fibers in the stroma component of serous, mucinous, endometrioid and mixed ovarian tumors as compared with normal ovary tissue. This methodology was capable to differentiate between cancerous and healthy tissue, with clear cut distinction between normal, benign, borderline, and malignant tumors of serous type. Our results indicated that the combination of different image-analysis approaches presented here represent a powerful tool to investigate collagen organization and extracellular matrix remodeling in ovarian tumors.
Fil: Adur, Javier Fernando. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Universidade Estadual de Campinas; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pelagati, Vitor B.. Universidade Estadual de Campinas; Brasil
Fil: de Thomaz, Andre A.. Universidade Estadual de Campinas; Brasil
Fil: Baratti, Mariana O.. Universidade Estadual de Campinas; Brasil
Fil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; Brasil
Fil: Carvalho, Hernandes F.. Universidade Estadual de Campinas; Brasil
Fil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; Brasil
Fil: Lenz Cesar, Carlos. Universidade Estadual de Campinas; Brasil
description In this study we showed that second-harmonic generation (SHG) microscopy combined with precise methods for images evaluation can be used to detect structural changes in the human ovarian stroma. Using a set of scoring methods (alignment of collagen fibers, anisotropy, and correlation), we found significant differences in the distribution and organization of collagen fibers in the stroma component of serous, mucinous, endometrioid and mixed ovarian tumors as compared with normal ovary tissue. This methodology was capable to differentiate between cancerous and healthy tissue, with clear cut distinction between normal, benign, borderline, and malignant tumors of serous type. Our results indicated that the combination of different image-analysis approaches presented here represent a powerful tool to investigate collagen organization and extracellular matrix remodeling in ovarian tumors.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/32616
Lenz Cesar, Carlos; Baratti, Mariana O.; de Thomaz, Andre A.; Pelagati, Vitor B.; Carvalho, Hernandes F.; Andrade, Liliana A. L. A.; et al.; Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer; Wiley VCH Verlag; Journal Of Biophotonics; 7; 1-2; 10-2012; 37-48
1864-063X
1864-0648
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32616
identifier_str_mv Lenz Cesar, Carlos; Baratti, Mariana O.; de Thomaz, Andre A.; Pelagati, Vitor B.; Carvalho, Hernandes F.; Andrade, Liliana A. L. A.; et al.; Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer; Wiley VCH Verlag; Journal Of Biophotonics; 7; 1-2; 10-2012; 37-48
1864-063X
1864-0648
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jbio.201200108/abstract
info:eu-repo/semantics/altIdentifier/doi/10.1002/jbio.201200108
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley VCH Verlag
publisher.none.fl_str_mv Wiley VCH Verlag
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614208169181184
score 13.070432

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