Effect of iterative reconstruction on the detection of systemic sclerosis-related interstitial lung disease: Clinical experience in 55 patients

Radiology

Volumn 279, Issue 1, 2016, Pages 297-305

  Pontana, François ^a   Billard, Anne Sophie ^a   Duhamel, Alain ^a   Schmidt, Bernhard ^c   Faivre, Jean Baptiste ^a   Hachulla, Eric ^b   Matran, Régis ^b   Remy, Jacques ^a   Remy Jardin, Martine ^a  

^a UNIV LILLE   (France)

^b UNIV LILLE   (France)

^c SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BRONCHIECTASIS; COMPUTED TOMOGRAPHY SCANNER; CONFIDENCE INTERVAL; CONTROLLED STUDY; DISEASE ASSOCIATION; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE QUALITY; IMAGE RECONSTRUCTION; INTERMETHOD COMPARISON; INTERSTITIAL LUNG DISEASE; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; MULTIDETECTOR COMPUTED TOMOGRAPHY; NOISE MEASUREMENT; PRIORITY JOURNAL; RADIATION DOSE REDUCTION; RADIATION ENERGY; RANK SUM TEST; RETROSPECTIVE STUDY; STANDARD; SYSTEMIC SCLEROSIS; VERY ELDERLY; YOUNG ADULT; COMPLICATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; LUNG DISEASES, INTERSTITIAL; PROCEDURES; RADIATION DOSE; RADIOGRAPHY;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; LUNG DISEASES, INTERSTITIAL; MALE; MIDDLE AGED; RADIATION DOSAGE; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RETROSPECTIVE STUDIES; SCLERODERMA, SYSTEMIC; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84962834141     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2015150849     Document Type: Article

References (34)

1. Ioannidis JP, Vlachoyiannopoulos PG, Haid-ich AB, et al. Mortality in systemic sclerosis: an international meta-analysis of individual patient data. Am J Med 2005;118(1):2-10.
2. Steen VD, Medsger TA. Changes in causes of death in systemic sclerosis, 1972-2002. Ann Rheum Dis 2007;66(7):940-944.
3. Wells AU, Rubens MB, du Bois RM, Han-sell DM. Functional impairment in fbrosing alveolitis: relationship to reversible disease on thin section computed tomography. Eur Respir J 1997;10(2):280-285.
4. Wells AU, Rubens MB, du Bois RM, Hansell DM. Serial CT in fbrosing alveolitis: prognostic signifcance of the initial pattern. AJR Am J Roentgenol 1993;161(6):1159-1165.
5. Remy-Jardin M, Remy J, Wallaert B, Bataille D, Hatron PY. Pulmonary involvement in progressive systemic sclerosis: sequential evaluation with CT, pulmonary function tests, and bronchoalveolar lavage. Radiology 1993;188(2):499-506.
6. Desai SR, Veeraraghavan S, Hansell DM, et al. CT features of lung disease in patients with systemic sclerosis: comparison with idiopathic pulmonary fbrosis and non-specifc interstitial pneumonia. Radiology 2004;232(2):560-567.
7. Zwirewich CV, Mayo JR, Müller NL. Low-dose high-resolution CT of lung parenchyma. Radiology 1991;180(2):413-417.
8. Christe A, Charimo-Torrente J, Roychoud-hury K, Vock P, Roos JE. Accuracy of low-dose computed tomography (CT) for detecting and characterizing the most common CT patterns of pulmonary disease. Eur J Radiol 2013;82(3):e142-e150.
9. Pontana F, Duhamel A, Pagniez J, et al. Chest computed tomography using iterative reconstruction vs fltered back projection. II. Image quality of low-dose CT examinations in 80 patients. Eur Radiol 2011;21(3):636-643.
10. Pontana F, Pagniez J, Flohr T, et al. Chest computed tomography using iterative reconstruction vs fltered back projection. I. Evaluation of image noise reduction in 32 patients. Eur Radiol 2011;21(3):627-635.
11. Prakash P, Kalra MK, Ackman JB, et al. Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique. Radiology 2010;256(1):261-269.
12. Higuchi K, Nagao M, Matsuo Y, et al. Detection of ground-glass opacities by use of hybrid iterative reconstruction (iDose) and low-dose 256-section computed tomography: a phantom study. Radiol Phys Technol 2013;6(2):299-304.
13. Mathieu KB, Ai H, Fox PS, et al. Radiation dose reduction for CT lung cancer screening using ASIR and MBIR: a phantom study. J Appl Clin Med Phys 2014;15(2):4515.
14. Hashemi S, Mehrez H, Cobbold RS, Paul NS. Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT. Eur Radiol 2014;24(6):1239-1250.
15. Rampinelli C, Origgi D, Vecchi V, et al. Ultra-low-dose CT with model-based iterative reconstruction (MBIR): detection of ground-glass nodules in an anthropomorphic phantom study. Radiol Med (Torino) 2015;120(7):611-617.
16. Ohno Y, Takenaka D, Kanda T, et al. Adaptive iterative dose reduction using 3D processing for reduced-and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological fndings. AJR Am J Roentgenol 2012;199(4):W477-W485.
17. Bongartz G, Golding SJ, Jurik AG, et al. European guidelines for multislice computed tomography. Contract number FIGM-CT 2000-20078-CT-TIP. http://www.msct.eu/ CT-Quality-Criteria.htm. Published online March 2004. Accessed April 2012.
18. Studler U, Gluecker T, Bongartz G, Roth J, Steinbrich W. Image quality from high-resolution CT of the lung: comparison of axial scans and of sections reconstructed from volumetric data acquired using MDCT. AJR Am J Roentgenol 2005;185(3):602-607.
19. Goh NSL, Desai SR, Veeraraghavan S, et al. Interstitial lung disease in systemic sclerosis: a simple staging system. Am J Respir Crit Care Med 2008;177(11):1248-1254.
20. Cohen J. A power primer. Psychol Bull 1992; 112(1):155-159.
21. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33(1):159-174.
22. McCollough CH, Primak AN, Braun N, Kofer J, Yu L, Christner J. Strategies for reducing radiation dose in CT. Radiol Clin North Am 2009;47(1):27-40.
23. Mayo JR, Hartman TE, Lee KS, Primack SL, Vedal S, Müller NL. CT of the chest: minimal tube current required for good image quality with the least radiation dose. AJR Am J Roentgenol 1995;164(3):603-607.
24. Baumueller S, Winklehner A, Karlo C, et al. Low-dose CT of the lung: potential value of iterative reconstructions. Eur Radiol 2012; 22(12):2597-2606.
25. Christe A, Lin MC, Yen AC, et al. CT patterns of fungal pulmonary infections of the lung: comparison of standard-dose and simulated low-dose CT. Eur J Radiol 2012;81(10):2860-2866.
26. Remy-Jardin M, Giraud F, Remy J, Copin MC, Gosselin B, Duhamel A. Importance of ground-glass attenuation in chronic diffuse infltrative lung disease: pathologic-CT correlation. Radiology 1993;189(3):693-698.
27. Mayo JR, Kim KI, MacDonald SL, et al. Reduced radiation dose helical chest CT: effect on reader evaluation of structures and lung fndings. Radiology 2004;232(3):749-756.
28. Sverzellati N, Zompatori M, De Luca G, et al. Evaluation of quantitative CT indexes in idiopathic interstitial pneumonitis using a low-dose technique. Eur J Radiol 2005; 56(3):370-375.
29. Frauenfelder T, Winklehner A, Nguyen TD, et al. Screening for interstitial lung disease in systemic sclerosis: performance of high-resolution CT with limited number of slic-es-a prospective study. Ann Rheum Dis 2014;73(12):2069-2073.
30. Bendaoud S, Remy-Jardin M, Wallaert B, et al. Sequential versus volumetric computed tomography in the follow-up of chronic bron-chopulmonary diseases: comparison of diagnostic information and radiation dose in 63 adults. J Thorac Imaging 2011;26(3):190-195.
31. Park SC, Tan J, Wang X, et al. Computer-aided detection of early interstitial lung diseases using low-dose CT images. Phys Med Biol 2011;56(4):1139-1153.
32. Orlandi I, Camiciottoli G, Diciotti S, et al. Thin-section and low-dose volumetric computed tomographic densitometry of the lung in systemic sclerosis. J Comput Assist Tomogr 2006;30(5):823-827.
33. Yabuuchi H, Matsuo Y, Tsukamoto H, 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. Clin Radiol 2014;69(7):758-764.
34. Lloyd CR, Walsh SL, Hansell DM. High-resolution CT of complications of idiopathic fbrotic lung disease. Br J Radiol 2011;84 (1003):581-592.