Computer-assisted quantification of interstitial lung disease associated with rheumatoid arthritis: Preliminary technical validation
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 (4
×
1.25
mm 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 −840
HU). 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 DLCO (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 <780
HU (EoILD vs. MeVis PULMO 3D: r
=
0.650 for ST
=
−800 and −840
HU, respectively; p
=
0.002). MeVis PULMO 3D correlated best with DLCO at ST of −800
HU (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 −800
HU, with evidence of the closest correlations, both with human observers and physiologic impairment.
Keywords: Computer-aided diagnosis, Interstitial lung disease, Collagen vascular disorders
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PII: S0720-048X(08)00388-4
doi:10.1016/j.ejrad.2008.07.008
© 2008 Elsevier Ireland Ltd. All rights reserved.
