Computed tomography in secondary spontaneous pneumothorax: Reading the fine print

Objectives: To identify specific characteristics, distribution and associated findings of lesions causing secondary spontaneous pneumothorax (SSP). Methods: Computed tomography (CT) chest of 37 patients (between October 2011 and January 2020) was evaluated by two radiologists. They were classified i...

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Main Authors: Shankhneel Singh, Ashu S Bhalla, Priyanka Naranje, Anant Mohan
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2022-01-01
Series:Lung India
Subjects:
Online Access:http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=4;spage=319;epage=324;aulast=Singh
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author Shankhneel Singh
Ashu S Bhalla
Priyanka Naranje
Anant Mohan
author_facet Shankhneel Singh
Ashu S Bhalla
Priyanka Naranje
Anant Mohan
author_sort Shankhneel Singh
collection DOAJ
description Objectives: To identify specific characteristics, distribution and associated findings of lesions causing secondary spontaneous pneumothorax (SSP). Methods: Computed tomography (CT) chest of 37 patients (between October 2011 and January 2020) was evaluated by two radiologists. They were classified into 'Infectious' and 'Non-infectious' groups, based on cause of pneumothorax. A scoring system (score 0–10) was proposed based on parameters which were statistically significant. Results: Out of 37 patients with pneumothorax, 18 could be attributed to infectious aetiology and remaining 19 were due to noninfectious causes. The most common infectious cause of spontaneous pneumothorax was tuberculosis and noninfectious cause was chronic obstructive airway disease (COAD). Statistically significant difference was found for lesion wall thickness and presence of solid component between these two groups. No significant difference was found between both groups when comparing age, gender, lesion size and lesion distribution. The presence of pleural thickening, consolidation and mediastinal lymphadenopathy were statistically significant. Pleural effusion was never present in the noninfectious group. The area under receiver operating characteristic for differentiating patients in the two groups was 0.931 (standard error, 0.038; 95% CI, 0.856–1.000), and optimal threshold score for identifying patients with infectious causes was 4.5, with 77.8% sensitivity and 89.5% specificity. Conclusion: Pneumothorax is almost equally common due to infectious and noninfectious causes. The most common infectious cause of spontaneous pneumothorax was tuberculosis and noninfectious cause was COAD. Based on certain CT findings, we have proposed a scoring system to differentiate between these two groups.
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spelling doaj.art-68a0ec2e060a461d9d4f3682921c6db22022-12-22T03:11:05ZengWolters Kluwer Medknow PublicationsLung India0970-21130974-598X2022-01-0139431932410.4103/lungindia.lungindia_282_21Computed tomography in secondary spontaneous pneumothorax: Reading the fine printShankhneel SinghAshu S BhallaPriyanka NaranjeAnant MohanObjectives: To identify specific characteristics, distribution and associated findings of lesions causing secondary spontaneous pneumothorax (SSP). Methods: Computed tomography (CT) chest of 37 patients (between October 2011 and January 2020) was evaluated by two radiologists. They were classified into 'Infectious' and 'Non-infectious' groups, based on cause of pneumothorax. A scoring system (score 0–10) was proposed based on parameters which were statistically significant. Results: Out of 37 patients with pneumothorax, 18 could be attributed to infectious aetiology and remaining 19 were due to noninfectious causes. The most common infectious cause of spontaneous pneumothorax was tuberculosis and noninfectious cause was chronic obstructive airway disease (COAD). Statistically significant difference was found for lesion wall thickness and presence of solid component between these two groups. No significant difference was found between both groups when comparing age, gender, lesion size and lesion distribution. The presence of pleural thickening, consolidation and mediastinal lymphadenopathy were statistically significant. Pleural effusion was never present in the noninfectious group. The area under receiver operating characteristic for differentiating patients in the two groups was 0.931 (standard error, 0.038; 95% CI, 0.856–1.000), and optimal threshold score for identifying patients with infectious causes was 4.5, with 77.8% sensitivity and 89.5% specificity. Conclusion: Pneumothorax is almost equally common due to infectious and noninfectious causes. The most common infectious cause of spontaneous pneumothorax was tuberculosis and noninfectious cause was COAD. Based on certain CT findings, we have proposed a scoring system to differentiate between these two groups.http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=4;spage=319;epage=324;aulast=Singhctimagingspontaneous pneumothorax
spellingShingle Shankhneel Singh
Ashu S Bhalla
Priyanka Naranje
Anant Mohan
Computed tomography in secondary spontaneous pneumothorax: Reading the fine print
Lung India
ct
imaging
spontaneous pneumothorax
title Computed tomography in secondary spontaneous pneumothorax: Reading the fine print
title_full Computed tomography in secondary spontaneous pneumothorax: Reading the fine print
title_fullStr Computed tomography in secondary spontaneous pneumothorax: Reading the fine print
title_full_unstemmed Computed tomography in secondary spontaneous pneumothorax: Reading the fine print
title_short Computed tomography in secondary spontaneous pneumothorax: Reading the fine print
title_sort computed tomography in secondary spontaneous pneumothorax reading the fine print
topic ct
imaging
spontaneous pneumothorax
url http://www.lungindia.com/article.asp?issn=0970-2113;year=2022;volume=39;issue=4;spage=319;epage=324;aulast=Singh
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