Cargando…

Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography

PURPOSE: To assess lung lesions in patients with pneumonia complicating novel influenza A (H1N1) by serial high-resolution computed tomography (HRCT) during the early, progressive and convalescent stages. SAMPLES AND METHODS: Serial HRCT scans in 39 patients with pneumonia complicating novel influen...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Feng, Xia, Ganlin, Shi, Yuxin, Zhang, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Production and hosting by Elsevier B.V. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104186/
https://www.ncbi.nlm.nih.gov/pubmed/32289066
http://dx.doi.org/10.1016/j.jrid.2015.06.001
_version_ 1783512187622391808
author Feng, Feng
Xia, Ganlin
Shi, Yuxin
Zhang, Zhiyong
author_facet Feng, Feng
Xia, Ganlin
Shi, Yuxin
Zhang, Zhiyong
author_sort Feng, Feng
collection PubMed
description PURPOSE: To assess lung lesions in patients with pneumonia complicating novel influenza A (H1N1) by serial high-resolution computed tomography (HRCT) during the early, progressive and convalescent stages. SAMPLES AND METHODS: Serial HRCT scans in 39 patients with pneumonia complicating novel influenza A (H1N1) were reviewed for predominant patterns of lung abnormalities as well as distribution and extent of involvement. Longitudinal changes were assessed at different time points. RESULTS: In the early stage, the most common HRCT finding was patchy ground-glass opacity (GGO) (n = 4, 54.7%). In the progressive stage, bilaterally distributed GGO mixed with consolidation was the most commonly observed feature (n = 28, 71.8%). The diffuse pattern deteriorated to a peak (n = 17, 43.6%) at this stage. In the convalescent stage, the most common finding was fibrosis (n = 25, 64.1%). Averagely, fibrosis was observed at d 18.5 ± 6.4 after the onset of symptoms. Three patterns of longitudinal changes of the lesions were observed, including: type 1, improvement after deterioration; type 2, concurrent improvement and deterioration followed by improvement; and type 3, gradual improvement. Type 1 was the more common pattern (n = 27, 69.2%). Complete serial HRCT scans from initial and final scan were obtained in 24 patients, and the mean CT score peaked at d 8–14 of the illness. CONCLUSION: HRCT may play a role in detecting and characterizing pulmonary lesions for the cases of pneumonia complicating influenza A. In addition, it may contribute to monitoring longitudinal changes of pneumonia and assessing therapeutic response.
format Online
Article
Text
id pubmed-7104186
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher The Authors. Production and hosting by Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-71041862020-03-31 Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography Feng, Feng Xia, Ganlin Shi, Yuxin Zhang, Zhiyong Radiol Infect Dis Article PURPOSE: To assess lung lesions in patients with pneumonia complicating novel influenza A (H1N1) by serial high-resolution computed tomography (HRCT) during the early, progressive and convalescent stages. SAMPLES AND METHODS: Serial HRCT scans in 39 patients with pneumonia complicating novel influenza A (H1N1) were reviewed for predominant patterns of lung abnormalities as well as distribution and extent of involvement. Longitudinal changes were assessed at different time points. RESULTS: In the early stage, the most common HRCT finding was patchy ground-glass opacity (GGO) (n = 4, 54.7%). In the progressive stage, bilaterally distributed GGO mixed with consolidation was the most commonly observed feature (n = 28, 71.8%). The diffuse pattern deteriorated to a peak (n = 17, 43.6%) at this stage. In the convalescent stage, the most common finding was fibrosis (n = 25, 64.1%). Averagely, fibrosis was observed at d 18.5 ± 6.4 after the onset of symptoms. Three patterns of longitudinal changes of the lesions were observed, including: type 1, improvement after deterioration; type 2, concurrent improvement and deterioration followed by improvement; and type 3, gradual improvement. Type 1 was the more common pattern (n = 27, 69.2%). Complete serial HRCT scans from initial and final scan were obtained in 24 patients, and the mean CT score peaked at d 8–14 of the illness. CONCLUSION: HRCT may play a role in detecting and characterizing pulmonary lesions for the cases of pneumonia complicating influenza A. In addition, it may contribute to monitoring longitudinal changes of pneumonia and assessing therapeutic response. The Authors. Production and hosting by Elsevier B.V. 2015-06 2015-06-09 /pmc/articles/PMC7104186/ /pubmed/32289066 http://dx.doi.org/10.1016/j.jrid.2015.06.001 Text en © 2015 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Feng, Feng
Xia, Ganlin
Shi, Yuxin
Zhang, Zhiyong
Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography
title Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography
title_full Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography
title_fullStr Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography
title_full_unstemmed Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography
title_short Longitudinal changes of pneumonia complicating novel influenza A (H1N1) by high-resolution computed tomography
title_sort longitudinal changes of pneumonia complicating novel influenza a (h1n1) by high-resolution computed tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104186/
https://www.ncbi.nlm.nih.gov/pubmed/32289066
http://dx.doi.org/10.1016/j.jrid.2015.06.001
work_keys_str_mv AT fengfeng longitudinalchangesofpneumoniacomplicatingnovelinfluenzaah1n1byhighresolutioncomputedtomography
AT xiaganlin longitudinalchangesofpneumoniacomplicatingnovelinfluenzaah1n1byhighresolutioncomputedtomography
AT shiyuxin longitudinalchangesofpneumoniacomplicatingnovelinfluenzaah1n1byhighresolutioncomputedtomography
AT zhangzhiyong longitudinalchangesofpneumoniacomplicatingnovelinfluenzaah1n1byhighresolutioncomputedtomography