Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography

Detalhes bibliográficos
Autor(a) principal: da Cruz, Igor Cezar Kniphoff [UNESP]
Data de Publicação: 2022
Outros Autores: Carneiro, Rafael Kretzer [UNESP], de Nardi, Andrigo Barboza [UNESP], Uscategui, Ricardo Andrés Ramirez, Bortoluzzi, Eduarda Mazzardo, Feliciano, Marcus Antônio Rossi [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1186/s12917-021-03118-y
http://hdl.handle.net/11449/223158
Resumo: Background: Cutaneous and subcutaneous neoplasms are highly prevalent in dogs, ranging from benign to highly aggressive and metastatic lesions. The diagnosis is obtained through histopathology, however it is an invasive technique that may take a long time to obtain the result, delaying the beginning of the adequate treatment. Thus, there is a need for non-invasive tests that can help in the early diagnosis of this type of cancer. The aim of this study was to verify the accuracy of B-mode ultrasonography, Doppler, and ARFI elastography to predict malignancy in cutaneous and subcutaneous canine neoplasms. In addition, we aim to propose an ultrasonography evaluation protocol and perform the neoplasms characterization using these three proposed techniques. Results: Twenty-one types of specific neoplasm were diagnosed, and using B-mode, we verified the association between heterogeneous echotexture, invasiveness, presence of hyperechoic spots, and cavity areas with malignancy. An increased pulsatility was verified in malignant neoplasms using Doppler (cut-off value > 0.93). When using the elastography, malignancy was associated with non-deformable tissues and shear wave velocity > 3.52 m/s. Evaluation protocols were proposed associating 4, 5, 6, or 7 malignancy predictive characteristics, and characterization was done for all tumors with at least two cases. Conclusions: We concluded that ultrasonography methods are promising and effective in predicting malignancy in these types of tumors, and the association of methods can increase the specificity of the results.
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spelling Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastographyCancerCanineOncologyUltrasonographyBackground: Cutaneous and subcutaneous neoplasms are highly prevalent in dogs, ranging from benign to highly aggressive and metastatic lesions. The diagnosis is obtained through histopathology, however it is an invasive technique that may take a long time to obtain the result, delaying the beginning of the adequate treatment. Thus, there is a need for non-invasive tests that can help in the early diagnosis of this type of cancer. The aim of this study was to verify the accuracy of B-mode ultrasonography, Doppler, and ARFI elastography to predict malignancy in cutaneous and subcutaneous canine neoplasms. In addition, we aim to propose an ultrasonography evaluation protocol and perform the neoplasms characterization using these three proposed techniques. Results: Twenty-one types of specific neoplasm were diagnosed, and using B-mode, we verified the association between heterogeneous echotexture, invasiveness, presence of hyperechoic spots, and cavity areas with malignancy. An increased pulsatility was verified in malignant neoplasms using Doppler (cut-off value > 0.93). When using the elastography, malignancy was associated with non-deformable tissues and shear wave velocity > 3.52 m/s. Evaluation protocols were proposed associating 4, 5, 6, or 7 malignancy predictive characteristics, and characterization was done for all tumors with at least two cases. Conclusions: We concluded that ultrasonography methods are promising and effective in predicting malignancy in these types of tumors, and the association of methods can increase the specificity of the results.Universidade Estadual Paulista “Júlio de Mesquita Filho”, Via de acesso Professor Paulo Donato Castellane, s/n, Vila IndustrialUniversidad CESUniversidade Federal do Vale do Jequitinhonha e MucuriKansas State UniversityUniversidade Federal de Santa MariaUniversidade Estadual Paulista “Júlio de Mesquita Filho”, Via de acesso Professor Paulo Donato Castellane, s/n, Vila IndustrialUniversidade Estadual Paulista (UNESP)Universidad CESUniversidade Federal do Vale do Jequitinhonha e MucuriKansas State UniversityUniversidade Federal de Santa Mariada Cruz, Igor Cezar Kniphoff [UNESP]Carneiro, Rafael Kretzer [UNESP]de Nardi, Andrigo Barboza [UNESP]Uscategui, Ricardo Andrés RamirezBortoluzzi, Eduarda MazzardoFeliciano, Marcus Antônio Rossi [UNESP]2022-04-28T19:48:56Z2022-04-28T19:48:56Z2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s12917-021-03118-yBMC Veterinary Research, v. 18, n. 1, 2022.1746-6148http://hdl.handle.net/11449/22315810.1186/s12917-021-03118-y2-s2.0-85122221250Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBMC Veterinary Researchinfo:eu-repo/semantics/openAccess2022-04-28T19:48:56Zoai:repositorio.unesp.br:11449/223158Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:48:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
title Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
spellingShingle Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
da Cruz, Igor Cezar Kniphoff [UNESP]
Cancer
Canine
Oncology
Ultrasonography
title_short Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
title_full Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
title_fullStr Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
title_full_unstemmed Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
title_sort Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
author da Cruz, Igor Cezar Kniphoff [UNESP]
author_facet da Cruz, Igor Cezar Kniphoff [UNESP]
Carneiro, Rafael Kretzer [UNESP]
de Nardi, Andrigo Barboza [UNESP]
Uscategui, Ricardo Andrés Ramirez
Bortoluzzi, Eduarda Mazzardo
Feliciano, Marcus Antônio Rossi [UNESP]
author_role author
author2 Carneiro, Rafael Kretzer [UNESP]
de Nardi, Andrigo Barboza [UNESP]
Uscategui, Ricardo Andrés Ramirez
Bortoluzzi, Eduarda Mazzardo
Feliciano, Marcus Antônio Rossi [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidad CES
Universidade Federal do Vale do Jequitinhonha e Mucuri
Kansas State University
Universidade Federal de Santa Maria
dc.contributor.author.fl_str_mv da Cruz, Igor Cezar Kniphoff [UNESP]
Carneiro, Rafael Kretzer [UNESP]
de Nardi, Andrigo Barboza [UNESP]
Uscategui, Ricardo Andrés Ramirez
Bortoluzzi, Eduarda Mazzardo
Feliciano, Marcus Antônio Rossi [UNESP]
dc.subject.por.fl_str_mv Cancer
Canine
Oncology
Ultrasonography
topic Cancer
Canine
Oncology
Ultrasonography
description Background: Cutaneous and subcutaneous neoplasms are highly prevalent in dogs, ranging from benign to highly aggressive and metastatic lesions. The diagnosis is obtained through histopathology, however it is an invasive technique that may take a long time to obtain the result, delaying the beginning of the adequate treatment. Thus, there is a need for non-invasive tests that can help in the early diagnosis of this type of cancer. The aim of this study was to verify the accuracy of B-mode ultrasonography, Doppler, and ARFI elastography to predict malignancy in cutaneous and subcutaneous canine neoplasms. In addition, we aim to propose an ultrasonography evaluation protocol and perform the neoplasms characterization using these three proposed techniques. Results: Twenty-one types of specific neoplasm were diagnosed, and using B-mode, we verified the association between heterogeneous echotexture, invasiveness, presence of hyperechoic spots, and cavity areas with malignancy. An increased pulsatility was verified in malignant neoplasms using Doppler (cut-off value > 0.93). When using the elastography, malignancy was associated with non-deformable tissues and shear wave velocity > 3.52 m/s. Evaluation protocols were proposed associating 4, 5, 6, or 7 malignancy predictive characteristics, and characterization was done for all tumors with at least two cases. Conclusions: We concluded that ultrasonography methods are promising and effective in predicting malignancy in these types of tumors, and the association of methods can increase the specificity of the results.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28T19:48:56Z
2022-04-28T19:48:56Z
2022-12-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1186/s12917-021-03118-y
BMC Veterinary Research, v. 18, n. 1, 2022.
1746-6148
http://hdl.handle.net/11449/223158
10.1186/s12917-021-03118-y
2-s2.0-85122221250
url http://dx.doi.org/10.1186/s12917-021-03118-y
http://hdl.handle.net/11449/223158
identifier_str_mv BMC Veterinary Research, v. 18, n. 1, 2022.
1746-6148
10.1186/s12917-021-03118-y
2-s2.0-85122221250
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv BMC Veterinary Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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