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Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases
The endobronchial ultrasound is a minimally invasive technique that simultaneously associates ultrasound and bronchoscopy, to visualize lung nodule or masses, airway wall, and structures adjacent to the tracheobronchial tree. Endobronchial ultrasound has been incorporated into clinical practice all...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Instituto Israelita de Ensino e Pesquisa Albert Einstein
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718194/ https://www.ncbi.nlm.nih.gov/pubmed/31508658 http://dx.doi.org/10.31744/einstein_journal/2019MD4921 |
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author | Costa, Altair da Silva Palomino, Addy Lidvina Mejia Suzuki, Iunis Scordamaglio, Paulo Rogerio Gregorio, Marcelo Gervilla Jacomelli, Marcia |
author_facet | Costa, Altair da Silva Palomino, Addy Lidvina Mejia Suzuki, Iunis Scordamaglio, Paulo Rogerio Gregorio, Marcelo Gervilla Jacomelli, Marcia |
author_sort | Costa, Altair da Silva |
collection | PubMed |
description | The endobronchial ultrasound is a minimally invasive technique that simultaneously associates ultrasound and bronchoscopy, to visualize lung nodule or masses, airway wall, and structures adjacent to the tracheobronchial tree. Endobronchial ultrasound has been incorporated into clinical practice all over the world because of its low risk and high diagnostic yield in neoplastic and non-neoplastic disease. |
format | Online Article Text |
id | pubmed-6718194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Instituto Israelita de Ensino e Pesquisa Albert Einstein |
record_format | MEDLINE/PubMed |
spelling | pubmed-67181942019-09-17 Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases Costa, Altair da Silva Palomino, Addy Lidvina Mejia Suzuki, Iunis Scordamaglio, Paulo Rogerio Gregorio, Marcelo Gervilla Jacomelli, Marcia Einstein (Sao Paulo) Medical Developments The endobronchial ultrasound is a minimally invasive technique that simultaneously associates ultrasound and bronchoscopy, to visualize lung nodule or masses, airway wall, and structures adjacent to the tracheobronchial tree. Endobronchial ultrasound has been incorporated into clinical practice all over the world because of its low risk and high diagnostic yield in neoplastic and non-neoplastic disease. Instituto Israelita de Ensino e Pesquisa Albert Einstein 2019-08-30 /pmc/articles/PMC6718194/ /pubmed/31508658 http://dx.doi.org/10.31744/einstein_journal/2019MD4921 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Medical Developments Costa, Altair da Silva Palomino, Addy Lidvina Mejia Suzuki, Iunis Scordamaglio, Paulo Rogerio Gregorio, Marcelo Gervilla Jacomelli, Marcia Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases |
title | Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases |
title_full | Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases |
title_fullStr | Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases |
title_full_unstemmed | Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases |
title_short | Endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases |
title_sort | endobronchial ultrasound: a minimally invasive technology to assist diagnosis of thoracic diseases |
topic | Medical Developments |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718194/ https://www.ncbi.nlm.nih.gov/pubmed/31508658 http://dx.doi.org/10.31744/einstein_journal/2019MD4921 |
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