Literature DB >> 25316138

Systemic sclerosis interstitial lung disease evaluation: comparison between semiquantitative and quantitative computed tomography assessments.

A Ariani1, F Lumetti1, M Silva2, D Santilli1, F Mozzani1, G Lucchini1, G Delsante1, N Sverzellati2.   

Abstract

The pulmonary fibrosis extent in systemic sclerosis (SSc) has a prognostic value. Chest Computed Tomography (CT) is the gold standard to detect an interstitial lung disease (ILD). Semi-quantitative scores and quantitative methods can estimate the ILD. The first ones have a considerable inter-intraobserver variability, while quantitative scores, based on distribution of lung attenuation parameters (also called CT indexes), can be obtained through expensive and not so user-friendly software. The aim of this work is to investigate whether a DICOM-viewer open-source software (OsiriX) can obtain CT indexes correlating with semi-quantitative scores. Sixty-three chest CTs of ILD-SSc patients were assessed with two semi-quantitative methods (visual extent and limited/extensive ILD grading) and then blindly processed with OsiriX to obtain the distribution parameters of lung attenuation (kurtosis, skewness and mean). Semiquantitative assessment and CT indexes were compared through the Spearman rank test and Mann-Whitney test. All CT indexes showed a statistically significant correlation of moderate degree with the visual extent semi-quantitative assessment (p-value less than 0.05). Skewness was the lung attenuation distribution parameter with the strongest correlation (r =-0.378, p-value = 0.0023). Moreover, CT indexes of patients with an extensive and limited disease were statistically different (p less than 0.01). CT indexes correlating with a radiological semi-quantitative ILD assessment can be obtained through OsiriX. CT indexes can be considered very helpful to discriminate patients with extensive and limited ILD.

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Year:  2014        PMID: 25316138

Source DB:  PubMed          Journal:  J Biol Regul Homeost Agents        ISSN: 0393-974X            Impact factor:   1.711


  4 in total

1.  Quantitative computed tomography detects interstitial lung diseases proven by biopsy.

Authors:  Alarico Ariani; Andrea Imperatori; Massimo Castiglioni; Elisa Daffrè; Marina Aiello; Giuseppina Bertorelli; Alfredo Chetta; Lorenzo Dominioni; Nicola Rotolo
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2018-04-28       Impact factor: 0.670

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

Authors:  Tomaz Urbankowski; Lucyna Opoka; Paweł Wojtan; Rafal Krenke
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2017-04-28       Impact factor: 0.670

3.  Quantitative computed tomography assessment for systemic sclerosis-related interstitial lung disease: comparison of different methods.

Authors:  Furkan Ufuk; Mahmut Demirci; Goksel Altinisik
Journal:  Eur Radiol       Date:  2020-03-19       Impact factor: 5.315

4.  Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study.

Authors:  Joseph Jacob; Brian J Bartholmai; Srinivasan Rajagopalan; Anne Laure Brun; Ryoko Egashira; Ronald Karwoski; Maria Kokosi; Athol U Wells; David M Hansell
Journal:  BMC Med       Date:  2016-11-23       Impact factor: 8.775

  4 in total

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