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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.
- Source :
-
BioMed Research International . 1/5/2015, Vol. 2015, p1-8. 8p. - Publication Year :
- 2015
-
Abstract
- Objective. To evaluate the performance of a computerized-aided method (CaM) for quantification of interstitial lung disease (ILD) in patients with systemic sclerosis and to determine its correlation with the conventional visual reader-based score (CoVR) and the pulmonary function tests (PFTs). Methods. Seventy-nine patients were enrolled. All patients underwent chest high resolution computed tomography (HRCT) scored by two radiologists adopting the CoVR. All HRCT images were then analysed by a CaM using a DICOM software. The relationships among the lung segmentation analysis, the readers, and the PFTs results were calculated using linear regression analysis and Pearson’s correlation. Receiver operating curve analysis was performed for determination of CaM extent threshold. Results. A strong correlation between CaM and CoVR was observed (P<0.0001). The CaM showed a significant negative correlation with forced vital capacity (FVC) (P<0.0001) and the single breath carbon monoxide diffusing capacity of the lung (DLco) (P<0.0001). A CaM optimal extent threshold of 20% represented the best compromise between sensitivity (75.6%) and specificity (97.4%). Conclusions. CaM quantification of SSc-ILD can be useful in the assessment of extent of lung disease and may provide reliable tool in daily clinical practice and clinical trials. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ACADEMIC medical centers
*CONFIDENCE intervals
*STATISTICAL correlation
*INTERSTITIAL lung diseases
*REGRESSION analysis
*PULMONARY function tests
*STATISTICS
*SYSTEMIC scleroderma
*TOMOGRAPHY
*DATA analysis
*RECEIVER operating characteristic curves
*DATA analysis software
*DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Volume :
- 2015
- Database :
- Academic Search Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 109273021
- Full Text :
- https://doi.org/10.1155/2015/834262