266
Views
17
CrossRef citations to date
0
Altmetric
Original Article

Operator-independent quantitative chest computed tomography versus standard assessment of interstitial lung disease related to systemic sclerosis: A multi-centric study

, , , , , , , , , , , , , , , , , , , , & show all
Pages 724-730 | Received 03 Dec 2014, Accepted 31 Jan 2015, Published online: 30 Apr 2015

References

  • Tyndall AJ, Bannert B, Vonk M, Airò P, Cozzi F, Carreira PE, et al. Causes and risk factors for death in systemic sclerosis: a study from the EULAR Scleroderma Trials and Research (EUSTAR) database. Ann Rheum Dis. 2010;69(10):1809–15.
  • Strickland G, Pauling J, Cavill C, Shaddick G, McHugh N. Mortality in systemic sclerosis-a single centre study from the UK. Clin Rheumatol. 2013;32(10):1533–9.
  • Hudson M, Assayag D, Caron M, Fox BD, Hirsch A, Steele R, et al. Comparison of different measures of diffusing capacity for carbon monoxide (DLCO) in systemic sclerosis. Clin Rheumatol. 2013;32(10):1467–74.
  • Fransen J, Popa-Diaconu D, Hesselstrand R, Carreira PE, Valentini G, Beretta L, et al. Clinical prediction of 5-year survival in systemic sclerosis: validation of a simple prognostic model in EUSTAR centres. Ann Rheum Dis. 2011;70(10):1788–92.
  • Khanna D, Clements PJ, Furst DE, Chon Y, Elashoff R, Roth MD, et al. Correlation of the degree of dyspnea with health-related quality of life, functional abilities, and diffusing capacity for carbon monoxide in patients with systemic sclerosis and active alveolitis: Results from the scleroderma lung study. Arthritis Rheum. 2005;52(2):592–600.
  • Simeón CP, Armadans L, Fonollosa V, Solans R, Selva A, Villar M, et al. Mortality and prognostic factors in Spanish patients with systemic sclerosis. Rheumatology (Oxford). 2003;42(1):71–5.
  • Medsger TA, Bombardieri S, Czirjak L, Scorza R, Rossa Della A, Bencivelli W. Assessment of disease severity and prognosis. Clin Exp Rheumatol. 2003;21(3 Suppl 29):S42–6.
  • Medsger TA, Silman AJ, Steen VD, Black CM, Akesson A, Bacon PA, et al. A disease severity scale for systemic sclerosis: development and testing. J Rheumatol. 1999;26(10):2159–67.
  • Sider L, Dennis L, Smith LJ, Dunn MM. CT of the lung parenchyma and the pulmonary function test. Chest. 1987;92(3):406–10.
  • Warrick JH, Bhalla M, Schabel SI, Silver RM. High resolution computed tomography in early scleroderma lung disease. J Rheumatol. 1991;18(10):1520–8.
  • Goldin J, Elashoff R, Kim HJ, Yan X, Lynch D, Strollo D, et al. Treatment of scleroderma-interstitial lung disease with cyclophosphamide is associated with less progressive fibrosis on serial thoracic high-resolution CT scan than placebo: Findings from the scleroderma lung study. Chest. 2009;136(5):1333–40.
  • Bellia M, Cannizzaro F, Scichilone N, Riili M, Triolo G, Midiri M, et al. HRCT and scleroderma: semiquantitative evaluation of lung damage and functional abnormalities. Radiol med. 2009;114(2): 190–203.
  • Walsh SLF, Sverzellati N, Devaraj A, Keir GJ, Wells AU, Hansell DM. Connective tissue disease related fibrotic lung disease: high resolution computed tomographic and pulmonary function indices as prognostic determinants. Thorax. 2014;69(3):216–22.
  • Watadani T, Sakai F, Johkoh T, Noma S, Akira M, Fujimoto K, et al. Interobserver variability in the CT assessment of honeycombing in the lungs. Radiology. 2013;266(3):936–44.
  • Sundaram B, Gross BH, Martinez FJ, Oh E, Müller NL, Schipper M, et al. Accuracy of high-resolution CT in the diagnosis of diffuse lung disease: effect of predominance and distribution of findings. AJR Am J Roentgenol. 2008;191(4):1032–9.
  • Goh NSL, Desai SR, Veeraraghavan S, Hansell DM, Copley SJ, Maher TM, et al. Interstitial lung disease in systemic sclerosis: a simple staging system. Am J Respir Crit Care Med. 2008;177(11):1248–54.
  • Moore OA, Goh N, Corte T, Rouse H, Hennessy O, Thakkar V, 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. 2013;52(1):155–60.
  • Pu J, Roos J, Yi CA, Napel S, Rubin GD, Paik DS. Adaptive border marching algorithm: automatic lung segmentation on chest CT images. Comput Med Imaging Graph. 2008;32(6):452–62.
  • Marten K, Dicken V, Kneitz C, Höhmann M, Kenn W, Hahn D, Engelke C. Interstitial lung disease associated with collagen vascular disorders: disease quantification using a computer-aided diagnosis tool. Eur Radiol. 2009;19(2):324–32.
  • Kuhnigk J-M, Dicken V, Zidowitz S, Bornemann L, Kuemmerlen B, Krass S, et al. Informatics in radiology (infoRAD): new tools for computer assistance in thoracic CT. Part 1. Functional analysis of lungs, lung lobes, and bronchopulmonary segments. Radiographics. 2005;25(2):525–36.
  • Rosas IO. Automated quantification of high-resolution CT scan findings in individuals at risk for pulmonary fibrosis. Chest. 2011; 140(6):1590–7.
  • Goldin JG. Quantitative CT of the lung. Radiol Clin North Am. 2002; 40(1):145–62.
  • Best AC, Lynch AM, Bozic CM, Miller D, Grunwald GK, Lynch DA. Quantitative CT indexes in idiopathic pulmonary fibrosis: relationship with physiologic impairment. Radiology. 2003; 228(2):407–14.
  • Camiciottoli G, Orlandi I, Bartolucci M, Meoni E, Nacci F, Diciotti S, et al. Lung CT densitometry in systemic sclerosis: correlation with lung function, exercise testing, and quality of life. Chest. 2007;131(3): 672–81.
  • Sverzellati N, Calabrò E, Chetta A, Concari G, Larici AR, Mereu M, et al. Visual score and quantitative CT indices in pulmonary fibrosis: Relationship with physiologic impairment. Radiol med. 2007;112(8):1160–72.
  • Lynch DA. Quantitative CT of fibrotic interstitial lung disease. Chest. 2007;131(3):643–4.
  • Koyama H, Ohno Y, Yamazaki Y, Nogami M, Kusaka A, Murase K, Sugimura K. Quantitatively assessed CT imaging measures of pulmonary interstitial pneumonia: effects of reconstruction algorithms on histogram parameters. Eur J Radiol. 2010;74(1):142–6.
  • Shin KE, Chung MJ, Jung MP, Choe BK, Lee KS. Quantitative computed tomographic indexes in diffuse interstitial lung disease: correlation with physiologic tests and computed tomography visual scores. J Comput Assist Tomogr. 2011;35(2):266–71.
  • Park SC, Tan J, Wang X, Lederman D, Leader JK, Kim SH, Zheng B. Computer-aided detection of early interstitial lung diseases using low-dose CT images. Phys Med Biol. 2011;56(4):1139–53.
  • Rosset A, Spadola L, Ratib O. OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging. 2004;17(3):205–16.
  • Ratib O, Rosset A. Open-source software in medical imaging: development of OsiriX. Int J CARS. 2006;1(4):187–96.
  • Ariani A, Carotti M, Gutierrez M, Bichisecchi E, Grassi W, Giuseppetti GM, Salaffi F. Utility of an open-source DICOM viewer software (OsiriX) to assess pulmonary fibrosis in systemic sclerosis: preliminary results. Rheumatol Int. 2014;34(4):511–6.
  • Ariani A, Lumetti F, Silva M, Santilli D, Mozzani F, Lucchini G, et al. Systemic sclerosis interstitial lung disease evaluation: comparison between semiquantitative and quantitative computed tomography assessments. J Biol Regul Homeost Agents. 2014;28(3):507–13.
  • van den Hoogen F, Khanna D, Fransen J, Johnson SR, Baron M, Tyndall A, et al. 2013 classification criteria for systemic sclerosis: an American college of rheumatology/European league against rheumatism collaborative initiative. Ann Rheum Dis. 2013;72(11):1747–55.
  • Wells AU, Behr J, Silver R. Outcome measures in the lung. Rheumatology. 2008;47 Suppl 5:v48–50.
  • Khanna D, Kowal-Bielecka O, Khanna PP, Lapinska A, Asch SM, Wenger N, et al. Quality indicator set for systemic sclerosis. Clin Exp Rheumatol. 2011;29(2 Suppl 65):S33–9.
  • Wells AU, Desai SR, Rubens MB, Goh NSL, Cramer D, Nicholson AG, et al. Idiopathic pulmonary fibrosis: a composite physiologic index derived from disease extent observed by computed tomography. Am J Respir Crit Care Med. 2003;167(7):962–9.
  • Kazerooni EA, Martinez FJ, Flint A, Jamadar DA, Gross BH, Spizarny DL, 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. AJR Am J Roentgenol. 1997;169(4):977–83.
  • Zompatori M, Leone MB, Giannotta M, Galiè N, Palazzini M, Reggiani MLB, et al. Pulmonary hypertension and systemic sclerosis: the role of high-resolution computed tomography. Radiol med. 2013;118:1360–72.
  • Sumikawa H, Johkoh T, Colby TV, Ichikado K, Suga M, Taniguchi H, et al. Computed tomography findings in pathological usual interstitial pneumonia: relationship to survival. Am J Respir Crit Care Med. 2008;177(4):433–9.
  • Sverzellati N, Zompatori M, De Luca G, Chetta A, Bnà C, Ormitti F, Cobelli R. Evaluation of quantitative CT indexes in idiopathic interstitial pneumonitis using a low-dose technique. Eur J Radiol. 2005;56(3):370–5.
  • Zavaletta VA, Bartholmai BJ, Robb RA. High resolution multidetector CT-aided tissue analysis and quantification of lung fibrosis. Acad Radiol. 2007;14(7):772–87.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.