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Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms
Pulmonary tuberculosis (TB) persists as a great public health problem in Korea. Increases in the overall age of the population and the rise of drug-resistant TB have reinforced the need for rapid diagnostic improvements and new modalities to detect TB and drug-resistant TB, as well as to improve TB...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Academy of Tuberculosis and Respiratory Diseases
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388902/ https://www.ncbi.nlm.nih.gov/pubmed/25861338 http://dx.doi.org/10.4046/trd.2015.78.2.64 |
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author | Ryu, Yon Ju |
author_facet | Ryu, Yon Ju |
author_sort | Ryu, Yon Ju |
collection | PubMed |
description | Pulmonary tuberculosis (TB) persists as a great public health problem in Korea. Increases in the overall age of the population and the rise of drug-resistant TB have reinforced the need for rapid diagnostic improvements and new modalities to detect TB and drug-resistant TB, as well as to improve TB control. Standard guidelines and recent advances for diagnosing pulmonary TB are summarized in this article. An early and accurate diagnosis of pulmonary TB should be established using chest X-ray, sputum microscopy, culture in both liquid and solid media, and nucleic acid amplification. Chest computed tomography, histopathological examination of biopsy samples, and new molecular diagnostic tests can be used for earlier and improved diagnoses, especially in patients with smear-negative pulmonary TB or clinically-diagnosed TB and drug-resistant TB. |
format | Online Article Text |
id | pubmed-4388902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Korean Academy of Tuberculosis and Respiratory Diseases |
record_format | MEDLINE/PubMed |
spelling | pubmed-43889022015-04-08 Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms Ryu, Yon Ju Tuberc Respir Dis (Seoul) Review Pulmonary tuberculosis (TB) persists as a great public health problem in Korea. Increases in the overall age of the population and the rise of drug-resistant TB have reinforced the need for rapid diagnostic improvements and new modalities to detect TB and drug-resistant TB, as well as to improve TB control. Standard guidelines and recent advances for diagnosing pulmonary TB are summarized in this article. An early and accurate diagnosis of pulmonary TB should be established using chest X-ray, sputum microscopy, culture in both liquid and solid media, and nucleic acid amplification. Chest computed tomography, histopathological examination of biopsy samples, and new molecular diagnostic tests can be used for earlier and improved diagnoses, especially in patients with smear-negative pulmonary TB or clinically-diagnosed TB and drug-resistant TB. The Korean Academy of Tuberculosis and Respiratory Diseases 2015-04 2015-04-02 /pmc/articles/PMC4388902/ /pubmed/25861338 http://dx.doi.org/10.4046/trd.2015.78.2.64 Text en Copyright©2015. The Korean Academy of Tuberculosis and Respiratory Diseases. All rights reserved. http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) |
spellingShingle | Review Ryu, Yon Ju Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms |
title | Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms |
title_full | Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms |
title_fullStr | Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms |
title_full_unstemmed | Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms |
title_short | Diagnosis of Pulmonary Tuberculosis: Recent Advances and Diagnostic Algorithms |
title_sort | diagnosis of pulmonary tuberculosis: recent advances and diagnostic algorithms |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388902/ https://www.ncbi.nlm.nih.gov/pubmed/25861338 http://dx.doi.org/10.4046/trd.2015.78.2.64 |
work_keys_str_mv | AT ryuyonju diagnosisofpulmonarytuberculosisrecentadvancesanddiagnosticalgorithms |