Literature DB >> 23836000

High resolution computed tomography in 2-year follow-up of Stage I sarcoidosis.

D Ziora1, K Kornelia, D Jastrzebski, L Labus, K Zieleznik, J Kozielski.   

Abstract

There are as yet no markers known to predict the course of sarcoidosis. High resolution computed tomography (HRCT) is a tool that enables to visualize subtle parenchymal opacities in the lungs. Therefore, the aim of this study was to assess the prognostic role of HRCT at Stage I sarcoidosis. Fifty one patients (28 males and 23 females, aged 23-58) were studied. Based on HRCT examinations, two groups were distinguished: HRCT-positive (28 patients with pathologic changes in pulmonary parenchyma - mainly nodular opacities) and HRCT-negative (23 patients without parenchymal opacities). We found no significant differences between HRCT-negative and HRCT-positive groups in the mean values of pulmonary function tests (FEV1, FVC, FEV1/FVC, DLCO, and d(A-a)O2) between the starting and ending measurements of a 2-year long observation (check-up every 3 months). Likewise, there were no differences in the X-ray follow-up between the HRCT-positive and HRCT-negative groups. Nor were there significant differences in the percentage of patients showing stabilization, progression, or improvement between both groups (18 vs. 39 %, 21 vs. 4 %, and 61 vs. 57 %, respectively). We conclude that HRCT examination in stage I sarcoidosis has no significant prognostic role during a 2-year follow-up.

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Year:  2013        PMID: 23836000     DOI: 10.1007/978-94-007-6627-3_50

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  2 in total

1.  Volumetric FDG PET analysis of global lung inflammation: new tool for precision medicine in pulmonary sarcoidosis?

Authors:  Human Adams; Rob van Rooij; Coline H M van Moorsel; Marcela Spee-Dropkova; Jan C Grutters; Ruth G Keijsers
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2018-04-28       Impact factor: 0.670

2.  Development and validation of a prediction model for malignant pulmonary nodules: A cohort study.

Authors:  Zhen Ren; Hongmei Ding; Zhenzhen Cai; Yuan Mu; Lin Wang; Shiyang Pan
Journal:  Medicine (Baltimore)       Date:  2021-12-23       Impact factor: 1.817

  2 in total

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