Document Detail


Computer-assisted quantification of interstitial lung disease associated with rheumatoid arthritis: preliminary technical validation.
MedLine Citation:
PMID:  18722728     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
K Marten; V Dicken; C Kneitz; M Hoehmann; W Kenn; D Hahn; C Engelke
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Validation Studies     Date:  2008-08-22
Journal Detail:
Title:  European journal of radiology     Volume:  72     ISSN:  1872-7727     ISO Abbreviation:  Eur J Radiol     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2009-11-17     Completed Date:  2010-02-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8106411     Medline TA:  Eur J Radiol     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  278-83     Citation Subset:  IM    
Affiliation:
Department of Radiology, Georg August University of G??ttingen, Robert-Koch-Strasse 40, G??ttingen, Germany.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Arthritis, Rheumatoid / complications*,  radiography*
Artificial Intelligence
Female
Humans
Lung Diseases, Interstitial / complications*,  radiography*
Male
Middle Aged
Pattern Recognition, Automated / methods*
Pilot Projects
Radiographic Image Enhancement / methods
Radiographic Image Interpretation, Computer-Assisted / methods*
Reproducibility of Results
Sensitivity and Specificity
Software*
Software Validation

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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