Malignancy prediction of cutaneous and subcutaneous neoplasms in canines using B-mode ultrasonography, Doppler, and ARFI elastography
Main Author: | |
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Publication Date: | 2022 |
Other Authors: | , , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.1186/s12917-021-03118-y http://hdl.handle.net/11449/223158 |
Summary: | 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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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:29462024-08-05T16:31:17.306562Repositório 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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1808128665775505408 |