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BioMed Research International
Volume 2015, Article ID 834262, 8 pages
http://dx.doi.org/10.1155/2015/834262
Research Article

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

1Department of Rheumatology, Polytechnic University of the Marche, Ancona, Italy
2Department of Radiology, Polytechnic University of the Marche, Ancona, Italy
3Division of Rheumatology, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy

Received 30 July 2014; Revised 29 October 2014; Accepted 31 October 2014

Academic Editor: Hiroshi Tanaka

Copyright © 2015 Fausto Salaffi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. Ferri, G. Valentini, F. Cozzi et al., “Systemic sclerosis: demographic, clinical, and serologic features and survival in 1,012 Italian patients,” Medicine, vol. 81, no. 2, pp. 139–153, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. A. U. Wells, M. B. Rubens, R. M. Du Bois, and D. M. Hansell, “Serial CT in fibrosing alveolitis: prognostic significance of the initial pattern,” The American Journal of Roentgenology, vol. 161, no. 6, pp. 1159–1165, 1993. View at Publisher · View at Google Scholar · View at Scopus
  3. C. P. Simeon, L. Armadans, V. Fonollosa et al., “Mortality and prognostic factors in Spanish patients with systemic sclerosis,” Rheumatology, vol. 42, no. 1, pp. 71–75, 2003. View at Publisher · View at Google Scholar · View at Scopus
  4. N. S. L. Goh, S. R. Desai, S. Veeraraghavan et al., “Interstitial lung disease in systemic sclerosis: a simple staging system,” American Journal of Respiratory and Critical Care Medicine, vol. 177, no. 11, pp. 1248–1254, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Remy-Jardin, J. Remy, B. Wallaert, D. Bataille, and P.-Y. Hatron, “Pulmonary involvement in progressive systemic sclerosis: sequential evaluation with CT, pulmonary function tests, and bronchoalveolar lavage,” Radiology, vol. 188, no. 2, pp. 499–506, 1993. View at Publisher · View at Google Scholar · View at Scopus
  6. J. G. Goldin, D. A. Lynch, D. C. Strollo et al., “High resolution CT findings in scleroderma-related lung diseases: findings from Scleroderma lung study,” Chest, vol. 134, pp. 358–367, 2008. View at Publisher · View at Google Scholar
  7. R. Giacomelli, G. Valentini, F. Salsano et al., “Cyclophosphamide pulse regimen in the treatment of alveolitis in systemic sclerosis,” Journal of Rheumatology, vol. 29, no. 4, pp. 731–736, 2002. View at Google Scholar · View at Scopus
  8. A. Tochimoto, Y. Kawaguchi, M. Hara et al., “Efficacy and safety of intravenous cyclophosphamide pulse therapy with oral prednisolone in the treatment of interstitial lung disease with systemic sclerosis: 4-year follow-up,” Modern Rheumatology, vol. 21, no. 3, pp. 296–301, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. D. Khanna, C.-H. Tseng, N. Farmani et al., “Clinical course of lung physiology in patients with scleroderma and interstitial lung disease: analysis of the Scleroderma Lung Study Placebo Group,” Arthritis and Rheumatism, vol. 63, no. 10, pp. 3078–3085, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. J. G. Goldin, “Quantitative CT of the lung,” Radiologic Clinics of North America, vol. 40, no. 1, pp. 145–162, 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. J. H. Warrick, M. Bhalla, S. I. Schabel, and R. M. Silver, “High resolution computed tomography in early scleroderma lung disease,” Journal of Rheumatology, vol. 18, no. 10, pp. 1520–1528, 1991. View at Google Scholar · View at Scopus
  12. G. Camiciottoli, I. Orlandi, M. Bartolucci et al., “Lung CT densitometry in systemic sclerosis: correlation with lung function, exercise testing, and quality of life,” Chest, vol. 131, no. 3, pp. 672–681, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. J. K. Leader, B. Zheng, R. M. Rogers et al., “Automated lung Segmentation in X-ray computed tomography: development and evaluation of a heuristic threshold-based scheme,” Academic Radiology, vol. 10, no. 11, pp. 1224–1236, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Wang, F. Li, and Q. Li, “Automated segmentation of lungs with severe interstitial lung disease in CT,” Medical Physics, vol. 36, no. 10, pp. 4592–4599, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. P. G. Hartley, J. R. Galvin, G. W. Hunninghake et al., “High-resolution CT-derived measures of lung density are valid indexes of interstitial lung disease,” Journal of Applied Physiology, vol. 76, no. 1, pp. 271–277, 1994. View at Google Scholar · View at Scopus
  16. R. Uppaluri, E. A. Hoffman, M. Sonka, G. W. Hunninghake, and G. McLennan, “Interstitial lung disease: a quantitative study using the adaptive multiple feature method,” American Journal of Respiratory and Critical Care Medicine, vol. 159, no. 2, pp. 519–525, 1999. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Ariani, M. Carotti, M. Gutierrez et al., “Utility of an open-source DICOM viewer software (OsiriX) to assess pulmonary fibrosis in systemic sclerosis: preliminary results,” Rheumatology International, vol. 34, no. 4, pp. 511–516, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. Subcommittee for Scleroderma Criteria of the American Rheumatism Association Diagnostic and Therapeutic Criteria Committee, “Preliminary criteria for the classification of systemic sclerosis (scleroderma),” Arthritis & Rheumatology, vol. 23, pp. 581–590, 1980. View at Google Scholar
  19. A. Rosset, L. Spadola, and O. Ratib, “OsiriX: an open-source software for navigating in multidimensional DICOM images,” Journal of Digital Imaging, vol. 17, no. 3, pp. 205–216, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. K. E. Shin, M. J. Chung, M. P. Jung, B. K. Choe, and K. S. Lee, “Quantitative computed tomographic indexes in diffuse interstitial lung disease: correlation with physiologic tests and computed tomography visual scores,” Journal of Computer Assisted Tomography, vol. 35, no. 2, pp. 266–271, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. E. Diot, E. Boissinot, E. Asquier et al., “Relationship between abnormalities on high-resolution CT and pulmonary function in systemic sclerosis,” Chest, vol. 114, no. 6, pp. 1623–1629, 1998. View at Publisher · View at Google Scholar · View at Scopus
  22. E. A. Kazarooni, F. J. Martinez, A. Flint et al., “Thin-section CT obtained at 10-mm increments versus limited three-level thin-section CT for idiopathic pulmonary fibrosis: correlation with pathologic scoring,” American Journal of Roentgenology, vol. 169, no. 4, pp. 977–983, 1997. View at Publisher · View at Google Scholar · View at Scopus
  23. O. A. Moore, N. Goh, T. Corte et al., “Extent of disease on high-resolution computed tomography lung is a predictor of decline and mortality in systemic sclerosis-related interstitial lung disease,” Rheumatology, vol. 52, no. 1, pp. 155–160, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. R. K. Rienmuller, J. Behr, W. A. Kalender et al., “Standardized quantitative high resolution CT in lung diseases,” Journal of Computer Assisted Tomography, vol. 15, no. 5, pp. 742–749, 1991. View at Publisher · View at Google Scholar · View at Scopus
  25. L. J. Rosenblum, R. A. Mauceri, D. E. Wellenstein et al., “Density patterns in the normal lung as determined by computed tomography,” Radiology, vol. 137, no. 2, pp. 409–416, 1980. View at Publisher · View at Google Scholar · View at Scopus
  26. H. Yabuuchi, Y. Matsuo, H. Tsukamoto et al., “Evaluation of the extent of ground-glass opacity on high-resolution CT in patients with interstitial pneumonia associated with systemic sclerosis: comparison between quantitative and qualitative analysis,” Clinical Radiology, vol. 69, no. 7, pp. 758–764, 2014. View at Publisher · View at Google Scholar · View at Scopus
  27. K. Marten, V. Dicken, C. Kneitz et al., “Computer-assisted quantification of interstitial lung disease associated with rheumatoid arthritis: preliminary technical validation,” European Journal of Radiology, vol. 72, no. 2, pp. 278–283, 2009. View at Publisher · View at Google Scholar · View at Scopus
  28. H. J. Kim, M. S. Brown, R. Elashoff et al., “Quantitative texture-based assessment of one-year changes in fibrotic reticular patterns on HRCT in scleroderma lung disease treated with oral cyclophosphamide,” European Radiology, vol. 21, no. 12, pp. 2455–2465, 2011. View at Publisher · View at Google Scholar · View at Scopus
  29. A. U. Wells, D. M. Hansell, M. B. Rubens et al., “Fibrosing alveolitis in systemic sclerosis: indices of lung function in relation to extent of disease on computed tomography,” Arthritis and Rheumatism, vol. 40, no. 7, pp. 1229–1236, 1997. View at Google Scholar · View at Scopus