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Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation
BACKGROUND: High-resolution computed tomography (HRCT) is the gold standard for the evaluation of cystic fibrosis (CF) lung disease; however, lung ultrasound (LUS) is being increasingly used for the assessment of lung in these patients due to its lower cost, availability, and lack of irradiation. We...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572653/ https://www.ncbi.nlm.nih.gov/pubmed/34743707 http://dx.doi.org/10.1186/s12890-021-01728-8 |
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author | Hassanzad, Maryam Kiani, Arda Abedini, Atefeh Ghaffaripour, Hoseinali Emami, Habib Alizadeh, Niloufar Zoghi, Ghazal Hashemi, Saeed Velayati, Ali Akbar |
author_facet | Hassanzad, Maryam Kiani, Arda Abedini, Atefeh Ghaffaripour, Hoseinali Emami, Habib Alizadeh, Niloufar Zoghi, Ghazal Hashemi, Saeed Velayati, Ali Akbar |
author_sort | Hassanzad, Maryam |
collection | PubMed |
description | BACKGROUND: High-resolution computed tomography (HRCT) is the gold standard for the evaluation of cystic fibrosis (CF) lung disease; however, lung ultrasound (LUS) is being increasingly used for the assessment of lung in these patients due to its lower cost, availability, and lack of irradiation. We aimed to determine the diagnostic performance of LUS for the evaluation of CF pulmonary exacerbation. METHODS: This cross-sectional study included patients with CF pulmonary exacerbation admitted to Masih Daneshvari Hospital, Tehran, Iran, from March 21, 2020 to March 20, 2021. Age, gender, and body mass index (BMI) of the patients were recorded. All patients underwent chest X-ray (CXR), HRCT, and LUS on admission. Pleural thickening, atelectasis, air bronchogram, B-line, and consolidation were noted in LUS and then compared with the corresponding findings in CXR and HRCT. Taking HRCT findings as reference, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy (DA) of LUS and CXR for the detection of each pulmonary abnormality were determined. RESULTS: Of the 30 patients included in this study, with a mean age of 19.62 ± 5.53 years, 14 (46.7%) were male. Of the 15 patients aged 2–20 years, BMI was below the 5(th) percentile in 10 (66.7%), within the 5–10 percentiles in 1 (6.7%), 10–25 percentiles in 3 (20%), and 25-50 percentiles in 1 (6.7%). The mean BMI for 15 patients > 20 years was 18.03 ± 2.53 kg/m(2). LUS had better diagnostic performance compared to CXR for the detection of air bronchogram, consolidation, and pleural thickening (area under the receiver operating characteristic curve [AUROC]: 0.966 vs. 0.483, 0.900 vs. 0.575, and 0.656 vs. 0.531, respectively). Also, LUS was 100% and 96.7% specific for the diagnosis of pleural effusion and atelectasis, respectively. CONCLUSIONS: LUS appears to be superior to CXR and comparable with HRCT for the evaluation of CF pulmonary exacerbation, especially in terms of air bronchogram and consolidation detection. LUS can be used to lengthen the HRCT evaluation intervals in this regard or utilized along with HRCT for better evaluation of CF pulmonary exacerbation. |
format | Online Article Text |
id | pubmed-8572653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85726532021-11-08 Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation Hassanzad, Maryam Kiani, Arda Abedini, Atefeh Ghaffaripour, Hoseinali Emami, Habib Alizadeh, Niloufar Zoghi, Ghazal Hashemi, Saeed Velayati, Ali Akbar BMC Pulm Med Research BACKGROUND: High-resolution computed tomography (HRCT) is the gold standard for the evaluation of cystic fibrosis (CF) lung disease; however, lung ultrasound (LUS) is being increasingly used for the assessment of lung in these patients due to its lower cost, availability, and lack of irradiation. We aimed to determine the diagnostic performance of LUS for the evaluation of CF pulmonary exacerbation. METHODS: This cross-sectional study included patients with CF pulmonary exacerbation admitted to Masih Daneshvari Hospital, Tehran, Iran, from March 21, 2020 to March 20, 2021. Age, gender, and body mass index (BMI) of the patients were recorded. All patients underwent chest X-ray (CXR), HRCT, and LUS on admission. Pleural thickening, atelectasis, air bronchogram, B-line, and consolidation were noted in LUS and then compared with the corresponding findings in CXR and HRCT. Taking HRCT findings as reference, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy (DA) of LUS and CXR for the detection of each pulmonary abnormality were determined. RESULTS: Of the 30 patients included in this study, with a mean age of 19.62 ± 5.53 years, 14 (46.7%) were male. Of the 15 patients aged 2–20 years, BMI was below the 5(th) percentile in 10 (66.7%), within the 5–10 percentiles in 1 (6.7%), 10–25 percentiles in 3 (20%), and 25-50 percentiles in 1 (6.7%). The mean BMI for 15 patients > 20 years was 18.03 ± 2.53 kg/m(2). LUS had better diagnostic performance compared to CXR for the detection of air bronchogram, consolidation, and pleural thickening (area under the receiver operating characteristic curve [AUROC]: 0.966 vs. 0.483, 0.900 vs. 0.575, and 0.656 vs. 0.531, respectively). Also, LUS was 100% and 96.7% specific for the diagnosis of pleural effusion and atelectasis, respectively. CONCLUSIONS: LUS appears to be superior to CXR and comparable with HRCT for the evaluation of CF pulmonary exacerbation, especially in terms of air bronchogram and consolidation detection. LUS can be used to lengthen the HRCT evaluation intervals in this regard or utilized along with HRCT for better evaluation of CF pulmonary exacerbation. BioMed Central 2021-11-08 /pmc/articles/PMC8572653/ /pubmed/34743707 http://dx.doi.org/10.1186/s12890-021-01728-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hassanzad, Maryam Kiani, Arda Abedini, Atefeh Ghaffaripour, Hoseinali Emami, Habib Alizadeh, Niloufar Zoghi, Ghazal Hashemi, Saeed Velayati, Ali Akbar Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation |
title | Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation |
title_full | Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation |
title_fullStr | Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation |
title_full_unstemmed | Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation |
title_short | Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation |
title_sort | lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572653/ https://www.ncbi.nlm.nih.gov/pubmed/34743707 http://dx.doi.org/10.1186/s12890-021-01728-8 |
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