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  3. Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP).
 

Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP).

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BORIS DOI
10.7892/boris.138800
Publisher DOI
10.1371/journal.pone.0226084
PubMed ID
31929532
Description
PURPOSE

To conduct a meta-analysis to determine specific computed tomography (CT) patterns and clinical features that discriminate between nonspecific interstitial pneumonia (NSIP) and usual interstitial pneumonia (UIP).

MATERIALS AND METHODS

The PubMed/Medline and Embase databases were searched for studies describing the radiological patterns of UIP and NSIP in chest CT images. Only studies involving histologically confirmed diagnoses and a consensus diagnosis by an interstitial lung disease (ILD) board were included in this analysis. The radiological patterns and patient demographics were extracted from suitable articles. We used random-effects meta-analysis by DerSimonian & Laird and calculated pooled odds ratios for binary data and pooled mean differences for continuous data.

RESULTS

Of the 794 search results, 33 articles describing 2,318 patients met the inclusion criteria. Twelve of these studies included both NSIP (338 patients) and UIP (447 patients). NSIP-patients were significantly younger (NSIP: median age 54.8 years, UIP: 59.7 years; mean difference (MD) -4.4; p = 0.001; 95% CI: -6.97 to -1.77), less often male (NSIP: median 52.8%, UIP: 73.6%; pooled odds ratio (OR) 0.32; p<0.001; 95% CI: 0.17 to 0.60), and less often smokers (NSIP: median 55.1%, UIP: 73.9%; OR 0.42; p = 0.005; 95% CI: 0.23 to 0.77) than patients with UIP. The CT findings from patients with NSIP revealed significantly lower levels of the honeycombing pattern (NSIP: median 28.9%, UIP: 73.4%; OR 0.07; p<0.001; 95% CI: 0.02 to 0.30) with less peripheral predominance (NSIP: median 41.8%, UIP: 83.3%; OR 0.21; p<0.001; 95% CI: 0.11 to 0.38) and more subpleural sparing (NSIP: median 40.7%, UIP: 4.3%; OR 16.3; p = 0.005; 95% CI: 2.28 to 117).

CONCLUSION

Honeycombing with a peripheral predominance was significantly associated with a diagnosis of UIP. The NSIP pattern showed more subpleural sparing. The UIP pattern was predominantly observed in elderly males with a history of smoking, whereas NSIP occurred in a younger patient population.
Date of Publication
2020-01-13
Publication Type
Article
Subject(s)
500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services
Language(s)
en
Contributor(s)
Ebner, Lukas
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
Christodoulidis, Stergios
ARTORG Center for Biomedical Engineering Research
Stathopoulou, Thomai
ARTORG Center - Artificial Intelligence in Medical Image Computing
ARTORG Center - Artificial Intelligence in Health and Nutrition
Geiser, Thomas
Universitätsklinik für Pneumologie
Stalder, Odile
Clinical Trials Unit Bern (CTU)
Limacher, Andreasorcid-logo
Clinical Trials Unit Bern (CTU)
Heverhagen, Johannesorcid-logo
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
Mougiakakou, Stavroula
ARTORG Center for Biomedical Engineering Research
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
Christe, Andreas
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
Additional Credits
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
ARTORG Center for Biomedical Engineering Research
ARTORG Center - Artificial Intelligence in Medical Image Computing
Universitätsklinik für Pneumologie
Clinical Trials Unit Bern (CTU)
Series
PLoS ONE
Publisher
Public Library of Science
ISSN
1932-6203
Access(Rights)
open.access
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