Interstitial lung diseases

ERS Monograph

Volumn 2015, Issue 9781849840668, 2015, Pages 99-115

  Schaefer Prokop, Cornelia ^a,b   Prosch, Helmut ^c  

^a MEANDER MEDICAL CENTER   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^c MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85093906577     PISSN: 2312508X     EISSN: 23125098     Source Type: Journal    
DOI: 10.1183/2312508X.10003015     Document Type: Article

References (43)

1. Deconinck B, Verschakelen J, Coolen J, et al. Diagnostic workup for diffuse parenchymal lung disease: schematic flowchart, literature review, and pitfalls. Lung 2013; 191: 19–25.
2. Walsh SL, Wells AU, Sverzellati N, et al. An integrated clinicoradiological staging system for pulmonary sarcoidosis: a case-cohort study. Lancet Respir Med 2014; 2: 123–130.
3. Hansell DM, Goldin JG, King TE Jr, et al. CT staging and monitoring of fibrotic interstitial lung diseases in clinical practice and treatment trials: a position paper from the Fleischner Society. Lancet Respir Med 2015; 3: 483–496.
4. Webb RW, Nestor LM, Naidich DP. High-Resolution CT of the Lung. Philadelphia, Lippincott Williams & Wilkins, 2014.
5. Verschakelen JA, De Wever W. Computed Tomography of the Lung: A Pattern Approach. Berlin, Springer, 2007.
6. Kubo T, Ohno Y, Kauczor HU, et al. Radiation dose reduction in chest CT: review of available options. Eur J Radiol 2014; 83: 1953–1961.
7. Prakash P, Kalra MK, Ackman JB, et al. Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique. Radiology 2010; 256: 261–269.
8. Baumueller S, Winklehner A, Karlo C, et al. Low-dose CT of the lung: potential value of iterative reconstructions. Eur Radiol 2012; 22: 2597–2606.
9. Pontana F, Duhamel A, Pagniez J, et al. Chest computed tomography using iterative reconstruction vs filtered back projection (Part 2): image quality of low-dose CT examinations in 80 patients. Eur Radiol 2011; 21: 636–643.
10. Katsura M, Matsuda I, Akahane M, et al. Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique. Eur Radiol 2012; 22: 1613–1623.
11. Christe A, Charimo-Torrente J, Roychoudhury K, et al. Accuracy of low-dose computed tomography (CT) for detecting and characterizing the most common CT-patterns of pulmonary disease. Eur J Radiol 2013; 82: 142–150.
12. 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 findings. AJR Am J Roentgenol 2012; 199: 477–485.
13. Wells AU, Hirani N. Interstitial lung disease guideline. Thorax 2008; 63: Suppl. 5, 1–58.
14. Prosch H, Schaefer-Prokop CM, Eisenhuber E, et al. CT protocols in interstitial lung diseases: a survey among members of the European Society of Thoracic Imaging and a review of the literature. Eur Radiol 2013; 23: 1553–1563.
15. Bankier AA, Schaefer-Prokop C, De Maertelaer V, et al. Air trapping: comparison of standard-dose and simulated low-dose thin-section CT techniques. Radiology 2007; 242: 898–906.
16. Beigelman-Aubry C, Hill C, Guibal A, et al. Multi-detector row CT and postprocessing techniques in the assessment of diffuse lung disease. Radiographics 2005; 25: 1639–1652.
17. Walsh SL, Nair A, Hansell DM. Post-processing applications in thoracic computed tomography. Clin Radiol 2013; 68: 433–448.
18. Eibel R, Türk TR, Kulinna C, et al. Mehrschicht-spiral-CT der lunge: multiplanare rekonstruktionen und maximum-intensitäts-projektionen in der detektion von lungenrundherden. [Multidetector-row CT of the lungs: multiplanar reconstructions and maximum intensity projections for the detection of pulmonary nodules.] Rofo Fortschr Geb Rontgenstr Neuen Bildgeb Verfahr 2001; 173: 815–821.
19. Remy-Jardin M, Remy J, Artaud D, et al. Diffuse infiltrative lung disease: clinical value of sliding-thin-slab maximum intensity projection CT scans in the detection of mild micronodular patterns. Radiology 1996; 200: 333–339.
20. Raghu G, Collard HR, Egan JJ, et al. An official ATS/ERS/JRS/ALAT statement: idiopathic pulmonary fibrosis: evidence-based guidelines for diagnosis and management. Am J Respir Crit Care Med 2011; 183: 788–824.
21. Watadani T, Sakai F, Johkoh T, et al. Interobserver variability in the CT assessment of honeycombing in the lungs. Radiology 2013; 266: 936–944.
22. Lynch DA, Austin JH, Hogg JC, et al. CT-definable subtypes of chronic obstructive pulmonary disease: a statement of the Fleischner Society. Radiology 2015; 277: 192–205.
23. Walsh SL, Sverzellati N, Devaraj A, et al. Connective tissue disease related fibrotic lung disease: high resolution computed tomographic and pulmonary function indices as prognostic determinants. Thorax 2014; 69: 216–222.
24. Goh NS, Desai SR, Veeraraghavan S, et al. Interstitial lung disease in systemic sclerosis: a simple staging system. Am J Respir Crit Care Med 2008; 177: 1248–1254.
25. Albert RK, Spiro SG, Jett JR. Clinical Respiratory Medicine: Expert Consult. 3rd Edn. Philadelphia, Mosby/Elsevier, 2008.
26. Goldin JG. Computed tomography as a biomarker in clinical trials imaging. J Thorac Imaging 2013; 28: 291–297.
27. Kim HJ, Brown MS, Chong D, et al. Comparison of the quantitative CT imaging biomarkers of idiopathic pulmonary fibrosis at baseline and early change with an interval of 7 months. Acad Radiol 2015; 22: 70–80.
28. Kim HJ, Brown MS, Elashoff R, et al. Quantitative texture-based assessment of one-year changes in fibrotic reticular patterns on HRCT in scleroderma lung disease treated with oral cyclophosphamide. Eur Radiol 2011; 21: 2455–2465.
29. Bartholmai BJ, Raghunath S, Karwoski RA, et al. Quantitative computed tomography imaging of interstitial lung diseases. J Thorac Imaging 2013; 28: 298–307.
30. American Thoracic Society/European Respiratory Society International Multidisciplinary Consensus Classification of the Idiopathic Interstitial Pneumonias. Am J Respir Crit Care Med 2002; 165: 277–304.
31. Churg A, Müller NL. Cellular vs fibrosing interstitial pneumonias and prognosis: a practical classification of the idiopathic interstitial pneumonias and pathologically/radiologically similar conditions. Chest 2006; 130: 1566–1570.
32. Leslie KO. My approach to interstitial lung disease using clinical, radiological and histopathological patterns. J Clin Pathol 2009; 62: 387–401.
33. Criado E, Sánchez M, Ramírez J, et al. Pulmonary sarcoidosis: typical and atypical manifestations at high-resolution CT with pathologic correlation. Radiographics 2010; 30: 1567–1586.
34. Walsh SL, Hansell DM. Diffuse interstitial lung disease: overlaps and uncertainties. Eur Radiol 2010; 20: 1859–1867.
35. Gruden JF, Panse PM, Leslie KO, et al. UIP diagnosed at surgical lung biopsy, 2000–2009: HRCT patterns and proposed classification system. AJR Am J Roentgenol 2013; 200: 458–467.
36. Lee JW, Shehu E, Gjonbrataj J, et al. Clinical findings and outcomes in patients with possible usual interstitial pneumonia. Respir Med 2015; 109: 510–516.
37. Walsh SL, Calandriello L, Sverzellati N, et al. Interobserver agreement for the ATS/ERS/JRS/ALAT criteria for a UIP pattern on CT. Thorax 2015 [in press; DOI: 10.1136/thoraxjnl-2015-207252.
38. Chung JH, Chawla A, Peljto AL, et al. CT scan findings of probable usual interstitial pneumonitis have a high predictive value for histologic usual interstitial pneumonitis. Chest 2015; 147: 450–459.
39. Kinder BW, Collard HR, Koth L, et al. Idiopathic nonspecific interstitial pneumonia: lung manifestation of undifferentiated connective tissue disease? Am J Respir Crit Care Med 2007; 176: 691–697.
40. Fujimoto K, Taniguchi H, Johkoh T, et al. Acute exacerbation of idiopathic pulmonary fibrosis: high-resolution CT scores predict mortality. Eur Radiol 2012; 22: 83–92.
41. Roberton BJ, Hansell DM. Organizing pneumonia: a kaleidoscope of concepts and morphologies. Eur Radiol 2011; 21: 2244–2254.
42. Copley SJ, Wells AU, Hawtin KE, et al. Lung morphology in the elderly: comparative CT study of subjects over 75 years old versus those under 55 years old. Eur Radiol 2009; 251: 566–573.
43. Sverzellati N, Wells AU, Tomassetti S, et al. Biopsy-proved idiopathic pulmonary fibrosis: spectrum of nondiagnostic thin-section CT diagnoses. Radiology 2010; 254: 957–964.