Potential role of CT-textural features for differentiation between viral interstitial pneumonias, pneumocystis jirovecii pneumonia and diffuse alveolar hemorrhage in early stages of disease: a proof of principle

Abstract Background Pulmonary involvement is common in several infectious and non-infectious diagnostic settings. Imaging findings consistently overlap and are therefore difficult to differentiate by chest-CT. The aim of this study was to evaluate the role of CT-textural features(CTTA) for discrimination between atypical viral (respiratory-syncitial-virus(RSV) and herpes-simplex-1-virus (HSV1)), fungal (pneumocystis-jirovecii-pneumonia(PJP)) interstitial pneumonias and alveolar hemorrhage. Methods By retrospective single-centre analysis we identified 46 consecutive patients (29 m) with RSV(n = 5), HSV1(n = 6), PJP(n = 21) and lung hemorrhage(n = 14) who underwent unenhanced chest CTs in early stages of the disease between 01/2016 and 02/2017. All cases were confirmed by microbiologic direct analysis of bronchial lavage. On chest-CT-scans, the presence of imaging features like ground-glass opacity(GGO), crazy-paving, air-space consolidation, reticulation, bronchial wall thickening and centrilobular nodules were described. A representative large area was chosen in both lungs and used for CTTA-parameters (included heterogeneity, intensity, average, deviation, skewness). Results Discriminatory CTTA-features were found between alveolar hemorrhage and PJP consisting of differences in mean heterogeneity(p

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PID https://www.doi.org/10.6084/m9.figshare.c.4512923.v1
PID https://www.doi.org/10.15496/publikation-40948
PID https://www.doi.org/10.6084/m9.figshare.c.4512923
URL http://dx.doi.org/10.15496/publikation-40948
URL http://dx.doi.org/10.6084/m9.figshare.c.4512923.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.4512923
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Author Kloth, Christopher
Author Thaiss, Wolfgang
Author Beck, Robert
Author Haap, Michael
Author Fritz, Jan
Author Beer, Meinrad
Author Horger, Marius
Contributor Universitaet Tuebingen
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Collected From Datacite
Hosted By figshare
Publication Date 2019-01-01
Publisher Figshare
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Language UNKNOWN
Resource Type Collection; UNKNOWN
keyword FOS: Earth and related environmental sciences
keyword FOS: Health sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::1919f103b2edcd270b7abdfc09cac801
Author jsonws_user
Last Updated 19 December 2020, 09:11 (CET)
Created 19 December 2020, 09:11 (CET)