Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Clinics |
Texto Completo: | https://www.revistas.usp.br/clinics/article/view/173745 |
Resumo: | OBJECTIVES: In breast cancer diagnosis, mammography (MMG), ultrasonography (USG) and magnetic resonance imaging (MRI) are the imaging methods most used. There is a scarcity of comparative studies that evaluate the accuracy of these methods in the diagnosis of breast cancer. METHODS: A cross-sectional study was carried out through the review of electronic medical records of 32 female patients who underwent breast imaging examinations at a imaging diagnostic center in Teresina, State of Piauı´, Brazil. Patients who had these three imaging methods at the time of the evaluation of the same nodule were included. The nodule must have been classified as suspect by the BI-RADSs system in at least one of the methods. Data from each method were compared with the histopathological examination. Statistical analysis used the calculation of proportions in Excel 2010. RESULTS: MMG showed 56.2%, 87.5%, 81.8%, 66.7% and 71.8% of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy, respectively. USG had 75%, 18.8%, 48%, 42.8% and 46.9% of sensitivity, specificity, PPV, NPV and accuracy, respectively. In turn, MRI had 100%, 50%, 66.7%, 100% and 75% of sensitivity, specificity, PPV, NPV and accuracy, respectively. CONCLUSION: Thus, MRI and MMG were more accurate in evaluating suspicious breast lumps. MRI had a low specificity, mainly to high breast density, while MMG had also sensitivity limited due to high breast density and USG has been proven to be useful in these patients. |
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Clinics |
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Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesionsBreast CancerMammographyUltrasonographyMagnetic Resonance ImagingOBJECTIVES: In breast cancer diagnosis, mammography (MMG), ultrasonography (USG) and magnetic resonance imaging (MRI) are the imaging methods most used. There is a scarcity of comparative studies that evaluate the accuracy of these methods in the diagnosis of breast cancer. METHODS: A cross-sectional study was carried out through the review of electronic medical records of 32 female patients who underwent breast imaging examinations at a imaging diagnostic center in Teresina, State of Piauı´, Brazil. Patients who had these three imaging methods at the time of the evaluation of the same nodule were included. The nodule must have been classified as suspect by the BI-RADSs system in at least one of the methods. Data from each method were compared with the histopathological examination. Statistical analysis used the calculation of proportions in Excel 2010. RESULTS: MMG showed 56.2%, 87.5%, 81.8%, 66.7% and 71.8% of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy, respectively. USG had 75%, 18.8%, 48%, 42.8% and 46.9% of sensitivity, specificity, PPV, NPV and accuracy, respectively. In turn, MRI had 100%, 50%, 66.7%, 100% and 75% of sensitivity, specificity, PPV, NPV and accuracy, respectively. CONCLUSION: Thus, MRI and MMG were more accurate in evaluating suspicious breast lumps. MRI had a low specificity, mainly to high breast density, while MMG had also sensitivity limited due to high breast density and USG has been proven to be useful in these patients.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2020-08-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/xmlhttps://www.revistas.usp.br/clinics/article/view/17374510.6061/clinics/2020/e1805Clinics; Vol. 75 (2020); e1805Clinics; v. 75 (2020); e1805Clinics; Vol. 75 (2020); e18051980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/173745/162771https://www.revistas.usp.br/clinics/article/view/173745/162772Copyright (c) 2020 Clinicsinfo:eu-repo/semantics/openAccessPereira, Renato de OliveiraLuz, Larissa Almondes daChagas, Diego CiprianoAmorim, Jefferson RodriguesNery-Júnior, Elmo de JesusAlves, Araci Castelo Branco Castelo Branco RodriguesAbreu-Neto, Fla´vio Teixeira deOliveira, Maria da Conceição BarrosSilva, Danylo Rafhael CostaSoares-Júnior, José MariaSilva, Benedito Borges da2020-08-16T20:49:19Zoai:revistas.usp.br:article/173745Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2020-08-16T20:49:19Clinics - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions |
title |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions |
spellingShingle |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions Pereira, Renato de Oliveira Breast Cancer Mammography Ultrasonography Magnetic Resonance Imaging |
title_short |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions |
title_full |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions |
title_fullStr |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions |
title_full_unstemmed |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions |
title_sort |
Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions |
author |
Pereira, Renato de Oliveira |
author_facet |
Pereira, Renato de Oliveira Luz, Larissa Almondes da Chagas, Diego Cipriano Amorim, Jefferson Rodrigues Nery-Júnior, Elmo de Jesus Alves, Araci Castelo Branco Castelo Branco Rodrigues Abreu-Neto, Fla´vio Teixeira de Oliveira, Maria da Conceição Barros Silva, Danylo Rafhael Costa Soares-Júnior, José Maria Silva, Benedito Borges da |
author_role |
author |
author2 |
Luz, Larissa Almondes da Chagas, Diego Cipriano Amorim, Jefferson Rodrigues Nery-Júnior, Elmo de Jesus Alves, Araci Castelo Branco Castelo Branco Rodrigues Abreu-Neto, Fla´vio Teixeira de Oliveira, Maria da Conceição Barros Silva, Danylo Rafhael Costa Soares-Júnior, José Maria Silva, Benedito Borges da |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Pereira, Renato de Oliveira Luz, Larissa Almondes da Chagas, Diego Cipriano Amorim, Jefferson Rodrigues Nery-Júnior, Elmo de Jesus Alves, Araci Castelo Branco Castelo Branco Rodrigues Abreu-Neto, Fla´vio Teixeira de Oliveira, Maria da Conceição Barros Silva, Danylo Rafhael Costa Soares-Júnior, José Maria Silva, Benedito Borges da |
dc.subject.por.fl_str_mv |
Breast Cancer Mammography Ultrasonography Magnetic Resonance Imaging |
topic |
Breast Cancer Mammography Ultrasonography Magnetic Resonance Imaging |
description |
OBJECTIVES: In breast cancer diagnosis, mammography (MMG), ultrasonography (USG) and magnetic resonance imaging (MRI) are the imaging methods most used. There is a scarcity of comparative studies that evaluate the accuracy of these methods in the diagnosis of breast cancer. METHODS: A cross-sectional study was carried out through the review of electronic medical records of 32 female patients who underwent breast imaging examinations at a imaging diagnostic center in Teresina, State of Piauı´, Brazil. Patients who had these three imaging methods at the time of the evaluation of the same nodule were included. The nodule must have been classified as suspect by the BI-RADSs system in at least one of the methods. Data from each method were compared with the histopathological examination. Statistical analysis used the calculation of proportions in Excel 2010. RESULTS: MMG showed 56.2%, 87.5%, 81.8%, 66.7% and 71.8% of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy, respectively. USG had 75%, 18.8%, 48%, 42.8% and 46.9% of sensitivity, specificity, PPV, NPV and accuracy, respectively. In turn, MRI had 100%, 50%, 66.7%, 100% and 75% of sensitivity, specificity, PPV, NPV and accuracy, respectively. CONCLUSION: Thus, MRI and MMG were more accurate in evaluating suspicious breast lumps. MRI had a low specificity, mainly to high breast density, while MMG had also sensitivity limited due to high breast density and USG has been proven to be useful in these patients. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-16 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/173745 10.6061/clinics/2020/e1805 |
url |
https://www.revistas.usp.br/clinics/article/view/173745 |
identifier_str_mv |
10.6061/clinics/2020/e1805 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/173745/162771 https://www.revistas.usp.br/clinics/article/view/173745/162772 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Clinics info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Clinics |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/xml |
dc.publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
dc.source.none.fl_str_mv |
Clinics; Vol. 75 (2020); e1805 Clinics; v. 75 (2020); e1805 Clinics; Vol. 75 (2020); e1805 1980-5322 1807-5932 reponame:Clinics instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Clinics |
collection |
Clinics |
repository.name.fl_str_mv |
Clinics - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||clinics@hc.fm.usp.br |
_version_ |
1800222765189431296 |