Literature DB >> 32476864

Assessment of lung involvement in sarcoidosis - the use of an open-source software to quantify data from computed tomography.

Tomaz Urbankowski1, Lucyna Opoka2, Paweł Wojtan1, Rafal Krenke1.   

Abstract

Computed tomography (CT) plays a pivotal role in the initial evaluation of patients suspected of sarcoidosis. Although it has significant limitations associated with radiation exposure, CT scanning is also occasionally used to follow-up patients with sarcoidosis. Hitherto, no widely accepted method of quantitative assessment of pulmonary involvement in sarcoidosis has been established. The aims of the study were as follows: (1) to assess the utility of the open-source, free of charge DICOM Viewer software in quantitative analysis of pulmonary involvement in sarcoidosis; (2) to compare the parameters of quantitative CT analysis with the results of pulmonary function tests (PFTs). We included contrast-enhanced thorax CT examinations of 80 patients with sarcoidosis. Post-processing analysis of CT data was carried out using OsiriX Lite software (Pixmeo, Switzerland). Following densitometric parameters were measured: CT-derived lung volume (CT-LV), mean lung attenuation (MLA), kurtosis, skewness and standard deviation of lung radiodensity (SDLR). Kurtosis was significantly lower in patients with lung fibrosis comparing to those with mediastinal and/or hilar lymphadenopathy (MHL) and pulmonary involvement (median 1.49 vs 1.93). Furthermore, SDLR was significantly higher in patients with lung fibrosis comparing to those with isolated MHL and MHL with pulmonary involvement (median 163.6 vs 137.4). Also, significant correlations between densitometric parameters and the results of PFTs were demonstrated, including correlation between CT-LV and TLC (R=0.7). Our study showed that post-processing of the CT data with the use of Osirix Lite DICOM Viewer might be a valuable method of quantitative analysis of pulmonary involvement in sarcoidosis. (Sarcoidosis Vasc Diffuse Lung Dis 2017; 34: 315-325). Copyright:
© 2017.

Entities:  

Keywords:  computer-assisted; image processing; interstitial; lung diseases; multidetector computed tomography; pulmonary; sarcoidosis

Year:  2017        PMID: 32476864      PMCID: PMC7170077          DOI: 10.36141/svdld.v34i4.6708

Source DB:  PubMed          Journal:  Sarcoidosis Vasc Diffuse Lung Dis        ISSN: 1124-0490            Impact factor:   0.670


  53 in total

1.  Quantitative CT indexes in idiopathic pulmonary fibrosis: relationship with physiologic impairment.

Authors:  Alan C Best; Anne M Lynch; Carmen M Bozic; David Miller; Gary K Grunwald; David A Lynch
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Authors:  N Macintyre; R O Crapo; G Viegi; D C Johnson; C P M van der Grinten; V Brusasco; F Burgos; R Casaburi; A Coates; P Enright; P Gustafsson; J Hankinson; R Jensen; R McKay; M R Miller; D Navajas; O F Pedersen; R Pellegrino; J Wanger
Journal:  Eur Respir J       Date:  2005-10       Impact factor: 16.671

3.  Prognosis of intrathoracic sarcoidosis in England. A review of 136 cases after five years' observation.

Authors:  J G SCADDING
Journal:  Br Med J       Date:  1961-11-04

4.  Quantitative computed tomography detects peripheral airway disease in asthmatic children.

Authors:  Neal Jain; Ronina A Covar; Melanie C Gleason; John D Newell; Erwin W Gelfand; Joseph D Spahn
Journal:  Pediatr Pulmonol       Date:  2005-09

5.  High-resolution CT-derived measures of lung density are valid indexes of interstitial lung disease.

Authors:  P G Hartley; J R Galvin; G W Hunninghake; J A Merchant; S J Yagla; S B Speakman; D A Schwartz
Journal:  J Appl Physiol (1985)       Date:  1994-01

6.  Quantitative measurement of changes in human lung density following irradiation.

Authors:  K Mah; J Van Dyk
Journal:  Radiother Oncol       Date:  1988-02       Impact factor: 6.280

7.  S Fas in bronchoalveolar lavage fluid of patients with sarcoidosis in relation to cigarette smoking.

Authors:  Joanna Domagala-Kulawik; Tomasz Urbankowski; Aleksandra Safianowska
Journal:  Hum Immunol       Date:  2013-04-22       Impact factor: 2.850

8.  Idiopathic pulmonary fibrosis: physiologic tests, quantitative CT indexes, and CT visual scores as predictors of mortality.

Authors:  Alan C Best; Jiangfeng Meng; Anne M Lynch; Carmen M Bozic; David Miller; Gary K Grunwald; David A Lynch
Journal:  Radiology       Date:  2008-01-30       Impact factor: 11.105

9.  Visual score and quantitative CT indices in pulmonary fibrosis: Relationship with physiologic impairment.

Authors:  N Sverzellati; E Calabrò; A Chetta; G Concari; A R Larici; M Mereu; R Cobelli; M De Filippo; M Zompatori
Journal:  Radiol Med       Date:  2007-12-13       Impact factor: 3.469

Review 10.  Development of quantitative computed tomography lung protocols.

Authors:  John D Newell; Jered Sieren; Eric A Hoffman
Journal:  J Thorac Imaging       Date:  2013-09       Impact factor: 3.000

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