Literature DB >> 18722728

Computer-assisted quantification of interstitial lung disease associated with rheumatoid arthritis: preliminary technical validation.

K Marten1, V Dicken, C Kneitz, M Hoehmann, W Kenn, D Hahn, C Engelke.   

Abstract

PURPOSE: To validate a threshold-based prototype software application (MeVis PULMO 3D) for quantification of chronic interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA) using variable threshold settings for segmentation of diseased lung areas.
METHODS: Twenty-two patients with rheumatoid arthritis were included and underwent thin-section CT (4x1.25mm collimation). CT scans were assessed by two observers for extent of ILD (EoILD), and twice by MeVis PULMO 3D for each protocol. MeVis PULMO 3D used four segmentation threshold (ST) settings (ST=-740, -780, -800 and -840HU). Pulmonary function tests were obtained in all patients. Statistical evaluation used 95% limits of agreement (LoA) and linear regression analysis.
RESULTS: There was total concordance between the software measurements. Interobserver agreement was good (LoA=-28.36 to 17.58%). EoILD by readers correlated strongly with DL(CO) (r=-0.702, p<0.0001) and moderately with FVC (r=-0.523, p=0.018). There was close correlation between readers and MeVis PULMO 3D with best results for ST <780HU (EoILD vs. MeVis PULMO 3D: r=0.650 for ST=-800 and -840HU, respectively; p=0.002). MeVis PULMO 3D correlated best with DL(CO) at ST of -800HU (r=-0.44, -0.49, -0.58 and -0.57 for ST=-740, -780, -800 and -840, respectively; p=0.007-0.05) and moderately with FVC (r=-0.44, -0.51, -0.59 and -0.45 for ST=-740, -780, -800 and -840), respectively; p=0.007-0.05).
CONCLUSION: The MeVis PULMO 3D system used holds promise to become a valuable instrument for quantification of chronic ILD in patients with RA when using the threshold value of -800HU, with evidence of the closest correlations, both with human observers and physiologic impairment.

Entities:  

Mesh:

Year:  2008        PMID: 18722728     DOI: 10.1016/j.ejrad.2008.07.008

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

1.  Interstitial lung disease in rheumatoid arthritis.

Authors:  Dana P Ascherman
Journal:  Curr Rheumatol Rep       Date:  2010-10       Impact factor: 4.592

2.  Automated 3D ιnterstitial lung disease εxtent quantification: performance evaluation and correlation to PFTs.

Authors:  Alexandra Kazantzi; Lena Costaridou; Spyros Skiadopoulos; Panayiotis Korfiatis; Anna Karahaliou; Dimitris Daoussis; Andreas Andonopoulos; Christina Kalogeropoulou
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

3.  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

4.  Computer-aided quantification of interstitial lung disease from high resolution computed tomography images in systemic sclerosis: correlation with visual reader-based score and physiologic tests.

Authors:  Fausto Salaffi; Marina Carotti; Silvia Bosello; Alessandro Ciapetti; Marwin Gutierrez; Elisabetta Bichisecchi; Gianmarco Giuseppetti; Gianfranco Ferraccioli
Journal:  Biomed Res Int       Date:  2015-01-05       Impact factor: 3.411

5.  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

Review 6.  Practical Implementation of Artificial Intelligence-Based Deep Learning and Cloud Computing on the Application of Traditional Medicine and Western Medicine in the Diagnosis and Treatment of Rheumatoid Arthritis.

Authors:  Shaohui Wang; Ya Hou; Xuanhao Li; Xianli Meng; Yi Zhang; Xiaobo Wang
Journal:  Front Pharmacol       Date:  2021-12-23       Impact factor: 5.810

Review 7.  High-Resolution Computed Tomography and Lung Ultrasound in Patients with Systemic Sclerosis: Which One to Choose?

Authors:  Barbara Ruaro; Elisa Baratella; Paola Confalonieri; Marco Confalonieri; Fabio Giuseppe Vassallo; Barbara Wade; Pietro Geri; Riccardo Pozzan; Gaetano Caforio; Cristina Marrocchio; Maria Assunta Cova; Francesco Salton
Journal:  Diagnostics (Basel)       Date:  2021-12-07
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.