Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015:2015:834262.
doi: 10.1155/2015/834262. Epub 2015 Jan 5.

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

Fausto Salaffi  1 , Marina Carotti  2 , Silvia Bosello  3 , Alessandro Ciapetti  1 , Marwin Gutierrez  1 , Elisabetta Bichisecchi  2 , Gianmarco Giuseppetti  2 , Gianfranco Ferraccioli  3
Affiliations

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

Fausto Salaffi et al. Biomed Res Int. 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.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Representative sequences of the OsiriX segmentation process. We have developed the pulmonary fibrosis fraction by the following formula: total HRT lung volume (−1.024 to −200) – nonfibrotic HRCT lung volume (−1.024 to –700) divided by total HRT lung volume (−1.024 to −200) multiplied by 100.
Figure 2
Figure 2
Scatter plots with regression line, illustrating the correlation between computerized-based analysis and visual reader-based scoring method.
Figure 3
Figure 3
Scatter plots showing correlations between PFTs and quantitative computerized analysis of pulmonary fraction with regression line. Each circle shows a single patient data.
Figure 4
Figure 4
ROC curve for determination of CaM optimal extent threshold. The circle on the curve shows optimal cut-off point, corresponding with the maximum sum of sensitivity and specificity.
See this image and copyright information in PMC

References

    1. Ferri C., Valentini G., Cozzi F., et al. Systemic sclerosis: demographic, clinical, and serologic features and survival in 1,012 Italian patients. Medicine. 2002;81(2):139–153. doi: 10.1097/00005792-200203000-00004. - DOI - PubMed
    1. Wells A. U., Rubens M. B., Du Bois R. M., Hansell D. M. Serial CT in fibrosing alveolitis: prognostic significance of the initial pattern. The American Journal of Roentgenology. 1993;161(6):1159–1165. doi: 10.2214/ajr.161.6.8249719. - DOI - PubMed
    1. Simeon C. P., Armadans L., Fonollosa V., et al. Mortality and prognostic factors in Spanish patients with systemic sclerosis. Rheumatology. 2003;42(1):71–75. doi: 10.1093/rheumatology/keg033. - DOI - PubMed
    1. Goh N. S. L., Desai S. R., Veeraraghavan S., et al. Interstitial lung disease in systemic sclerosis: a simple staging system. American Journal of Respiratory and Critical Care Medicine. 2008;177(11):1248–1254. doi: 10.1164/rccm.200706-877OC. - DOI - PubMed
    1. Remy-Jardin M., Remy J., Wallaert B., Bataille D., Hatron P.-Y. Pulmonary involvement in progressive systemic sclerosis: sequential evaluation with CT, pulmonary function tests, and bronchoalveolar lavage. Radiology. 1993;188(2):499–506. doi: 10.1148/radiology.188.2.8327704. - DOI - PubMed

Publication types

MeSH terms