The 2017 ACR TI-RADS: pictorial essay
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Radiologia Brasileira (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842022000100047 |
Resumo: | Abstract High-resolution ultrasound is the imaging method of choice for the evaluation of thyroid nodules. The method has recently come to be used widely and often, which has increased the rate of thyroid nodule detection. In 2017, the American College of Radiology (ACR) established a risk-stratification system designated the Thyroid Imaging Reporting and Data System (TI-RADS) to be a practical guide for widespread use, with a single lexicon and standardization of ultrasound reports of thyroid nodules. The objective of this study was to present a practical approach, using examples to illustrate the criteria evaluated by the 2017 ACR TI-RADS, in order to help minimize uncertainties regarding its application by sonographers. |
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The 2017 ACR TI-RADS: pictorial essayThyroid glandThyroid diseasesUltrasonographyAbstract High-resolution ultrasound is the imaging method of choice for the evaluation of thyroid nodules. The method has recently come to be used widely and often, which has increased the rate of thyroid nodule detection. In 2017, the American College of Radiology (ACR) established a risk-stratification system designated the Thyroid Imaging Reporting and Data System (TI-RADS) to be a practical guide for widespread use, with a single lexicon and standardization of ultrasound reports of thyroid nodules. The objective of this study was to present a practical approach, using examples to illustrate the criteria evaluated by the 2017 ACR TI-RADS, in order to help minimize uncertainties regarding its application by sonographers.Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842022000100047Radiologia Brasileira v.55 n.1 2022reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2020.0141info:eu-repo/semantics/openAccessPires,André TojalMustafá,Amina Muhamad MotaMagalhães,Márcio Olavo Gomeseng2022-02-07T00:00:00Zoai:scielo:S0100-39842022000100047Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2022-02-07T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false |
dc.title.none.fl_str_mv |
The 2017 ACR TI-RADS: pictorial essay |
title |
The 2017 ACR TI-RADS: pictorial essay |
spellingShingle |
The 2017 ACR TI-RADS: pictorial essay Pires,André Tojal Thyroid gland Thyroid diseases Ultrasonography |
title_short |
The 2017 ACR TI-RADS: pictorial essay |
title_full |
The 2017 ACR TI-RADS: pictorial essay |
title_fullStr |
The 2017 ACR TI-RADS: pictorial essay |
title_full_unstemmed |
The 2017 ACR TI-RADS: pictorial essay |
title_sort |
The 2017 ACR TI-RADS: pictorial essay |
author |
Pires,André Tojal |
author_facet |
Pires,André Tojal Mustafá,Amina Muhamad Mota Magalhães,Márcio Olavo Gomes |
author_role |
author |
author2 |
Mustafá,Amina Muhamad Mota Magalhães,Márcio Olavo Gomes |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pires,André Tojal Mustafá,Amina Muhamad Mota Magalhães,Márcio Olavo Gomes |
dc.subject.por.fl_str_mv |
Thyroid gland Thyroid diseases Ultrasonography |
topic |
Thyroid gland Thyroid diseases Ultrasonography |
description |
Abstract High-resolution ultrasound is the imaging method of choice for the evaluation of thyroid nodules. The method has recently come to be used widely and often, which has increased the rate of thyroid nodule detection. In 2017, the American College of Radiology (ACR) established a risk-stratification system designated the Thyroid Imaging Reporting and Data System (TI-RADS) to be a practical guide for widespread use, with a single lexicon and standardization of ultrasound reports of thyroid nodules. The objective of this study was to present a practical approach, using examples to illustrate the criteria evaluated by the 2017 ACR TI-RADS, in order to help minimize uncertainties regarding its application by sonographers. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842022000100047 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842022000100047 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-3984.2020.0141 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
publisher.none.fl_str_mv |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
dc.source.none.fl_str_mv |
Radiologia Brasileira v.55 n.1 2022 reponame:Radiologia Brasileira (Online) instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) instacron:CBR |
instname_str |
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
instacron_str |
CBR |
institution |
CBR |
reponame_str |
Radiologia Brasileira (Online) |
collection |
Radiologia Brasileira (Online) |
repository.name.fl_str_mv |
Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
repository.mail.fl_str_mv |
radiologiabrasileira@cbr.org.br |
_version_ |
1754208941091323904 |