AC Portal
Document Navigator

Occupational Lung Diseases

Variant: 1   Occupational exposure, screening, and surveillance of lung disease. Initial imaging.
Procedure Appropriateness Category Relative Radiation Level
Radiography chest Usually Appropriate
CT chest without IV contrast May Be Appropriate ☢☢☢
MRI chest without and with IV contrast Usually Not Appropriate O
MRI chest without IV contrast Usually Not Appropriate O
CT chest with IV contrast Usually Not Appropriate ☢☢☢
CT chest without and with IV contrast Usually Not Appropriate ☢☢☢
FDG-PET/CT skull base to mid-thigh Usually Not Appropriate ☢☢☢☢

Variant: 2   Occupational exposure, suspected interstitial lung disease. Initial imaging.
Procedure Appropriateness Category Relative Radiation Level
Radiography chest Usually Appropriate
CT chest without IV contrast Usually Appropriate ☢☢☢
MRI chest without and with IV contrast Usually Not Appropriate O
MRI chest without IV contrast Usually Not Appropriate O
CT chest with IV contrast Usually Not Appropriate ☢☢☢
CT chest without and with IV contrast Usually Not Appropriate ☢☢☢
FDG-PET/CT skull base to mid-thigh Usually Not Appropriate ☢☢☢☢

Variant: 3   Occupational exposure, suspected interstitial lung disease based on radiography. Next imaging study.
Procedure Appropriateness Category Relative Radiation Level
CT chest without IV contrast Usually Appropriate ☢☢☢
Image-guided transthoracic needle biopsy Usually Not Appropriate Varies
MRI chest without and with IV contrast Usually Not Appropriate O
MRI chest without IV contrast Usually Not Appropriate O
CT chest with IV contrast Usually Not Appropriate ☢☢☢
CT chest without and with IV contrast Usually Not Appropriate ☢☢☢
FDG-PET/CT skull base to mid-thigh Usually Not Appropriate ☢☢☢☢

Variant: 4   Occupational exposure, suspected airway disease. Initial imaging.
Procedure Appropriateness Category Relative Radiation Level
Radiography chest Usually Appropriate
CT chest without IV contrast Usually Appropriate ☢☢☢
MRI chest without and with IV contrast Usually Not Appropriate O
MRI chest without IV contrast Usually Not Appropriate O
CT chest with IV contrast Usually Not Appropriate ☢☢☢
CT chest without and with IV contrast Usually Not Appropriate ☢☢☢
FDG-PET/CT skull base to mid-thigh Usually Not Appropriate ☢☢☢☢

Variant: 5   Confirmed occupational lung disease, suspected thoracic neoplasm.
Procedure Appropriateness Category Relative Radiation Level
Image-guided transthoracic needle biopsy Usually Appropriate Varies
CT chest with IV contrast Usually Appropriate ☢☢☢
Radiography chest May Be Appropriate
MRI chest without and with IV contrast May Be Appropriate O
MRI chest without IV contrast May Be Appropriate O
CT chest without IV contrast May Be Appropriate ☢☢☢
FDG-PET/CT skull base to mid-thigh May Be Appropriate ☢☢☢☢
CT chest without and with IV contrast Usually Not Appropriate ☢☢☢

Panel Members
Christian W. Cox, MDa; Jonathan H. Chung, MDb; Jeanne B. Ackman, MDc; Mark F. Berry, MDd; Brett W. Carter, MDe; Patricia M. de Groot, MD, MAf; Stephen B. Hobbs, MDg; Geoffrey B. Johnson, MD, PhDh; Fabien Maldonado, MDi; Barbara L. McComb, MDj; Betty C. Tong, MD, MSk; Christopher M. Walker, MDl; Jeffrey P. Kanne, MDm.
Summary of Literature Review
Introduction/Background
Special Imaging Considerations
Discussion of Procedures by Variant
Variant 1: Occupational exposure, screening, and surveillance of lung disease. Initial imaging.
Variant 1: Occupational exposure, screening, and surveillance of lung disease. Initial imaging.
A. Radiography Chest
Variant 1: Occupational exposure, screening, and surveillance of lung disease. Initial imaging.
B. CT Chest
Variant 1: Occupational exposure, screening, and surveillance of lung disease. Initial imaging.
C. MRI Chest
Variant 1: Occupational exposure, screening, and surveillance of lung disease. Initial imaging.
D. FDG-PET/CT Skull Base to Mid-Thigh
Variant 2: Occupational exposure, suspected interstitial lung disease. Initial imaging.
Variant 2: Occupational exposure, suspected interstitial lung disease. Initial imaging.
A. Radiography Chest
Variant 2: Occupational exposure, suspected interstitial lung disease. Initial imaging.
B. CT Chest
Variant 2: Occupational exposure, suspected interstitial lung disease. Initial imaging.
C. MRI Chest
Variant 2: Occupational exposure, suspected interstitial lung disease. Initial imaging.
D. FDG-PET/CT Skull Base to Mid-Thigh
Variant 3: Occupational exposure, suspected interstitial lung disease based on radiography. Next imaging study.
Variant 3: Occupational exposure, suspected interstitial lung disease based on radiography. Next imaging study.
A. CT Chest
Variant 3: Occupational exposure, suspected interstitial lung disease based on radiography. Next imaging study.
B. MRI Chest
Variant 3: Occupational exposure, suspected interstitial lung disease based on radiography. Next imaging study.
C. FDG-PET/CT Skull Base to Mid-Thigh
Variant 3: Occupational exposure, suspected interstitial lung disease based on radiography. Next imaging study.
D. Image-Guided Transthoracic Needle Biopsy
Variant 4: Occupational exposure, suspected airway disease. Initial imaging.
Variant 4: Occupational exposure, suspected airway disease. Initial imaging.
A. Radiography Chest
Variant 4: Occupational exposure, suspected airway disease. Initial imaging.
B. CT Chest
Variant 4: Occupational exposure, suspected airway disease. Initial imaging.
C. MRI Chest
Variant 4: Occupational exposure, suspected airway disease. Initial imaging.
D. FDG-PET/CT Skull Base to Mid-Thigh
Variant 5: Confirmed occupational lung disease, suspected thoracic neoplasm.
Variant 5: Confirmed occupational lung disease, suspected thoracic neoplasm.
A. CT Chest
Variant 5: Confirmed occupational lung disease, suspected thoracic neoplasm.
B. MRI Chest
Variant 5: Confirmed occupational lung disease, suspected thoracic neoplasm.
C. FDG-PET/CT Skull Base to Mid-Thigh
Variant 5: Confirmed occupational lung disease, suspected thoracic neoplasm.
D. Image-Guided Transthoracic Needle Biopsy
Variant 5: Confirmed occupational lung disease, suspected thoracic neoplasm.
E. Radiography Chest
Summary of Recommendations
Supporting Documents

The evidence table, literature search, and appendix for this topic are available at https://acsearch.acr.org/list. The appendix includes the strength of evidence assessment and the final rating round tabulations for each recommendation.

For additional information on the Appropriateness Criteria methodology and other supporting documents, please go to the ACR website at https://www.acr.org/Clinical-Resources/Clinical-Tools-and-Reference/Appropriateness-Criteria.

Appropriateness Category Names and Definitions

Appropriateness Category Name

Appropriateness Rating

Appropriateness Category Definition

Usually Appropriate

7, 8, or 9

The imaging procedure or treatment is indicated in the specified clinical scenarios at a favorable risk-benefit ratio for patients.

May Be Appropriate

4, 5, or 6

The imaging procedure or treatment may be indicated in the specified clinical scenarios as an alternative to imaging procedures or treatments with a more favorable risk-benefit ratio, or the risk-benefit ratio for patients is equivocal.

May Be Appropriate (Disagreement)

5

The individual ratings are too dispersed from the panel median. The different label provides transparency regarding the panel’s recommendation. “May be appropriate” is the rating category and a rating of 5 is assigned.

Usually Not Appropriate

1, 2, or 3

The imaging procedure or treatment is unlikely to be indicated in the specified clinical scenarios, or the risk-benefit ratio for patients is likely to be unfavorable.

Relative Radiation Level Information

Potential adverse health effects associated with radiation exposure are an important factor to consider when selecting the appropriate imaging procedure. Because there is a wide range of radiation exposures associated with different diagnostic procedures, a relative radiation level (RRL) indication has been included for each imaging examination. The RRLs are based on effective dose, which is a radiation dose quantity that is used to estimate population total radiation risk associated with an imaging procedure. Patients in the pediatric age group are at inherently higher risk from exposure, because of both organ sensitivity and longer life expectancy (relevant to the long latency that appears to accompany radiation exposure). For these reasons, the RRL dose estimate ranges for pediatric examinations are lower as compared with those specified for adults (see Table below). Additional information regarding radiation dose assessment for imaging examinations can be found in the ACR Appropriateness Criteria® Radiation Dose Assessment Introduction document.

Relative Radiation Level Designations

Relative Radiation Level*

Adult Effective Dose Estimate Range

Pediatric Effective Dose Estimate Range

O

0 mSv

 0 mSv

<0.1 mSv

<0.03 mSv

☢☢

0.1-1 mSv

0.03-0.3 mSv

☢☢☢

1-10 mSv

0.3-3 mSv

☢☢☢☢

10-30 mSv

3-10 mSv

☢☢☢☢☢

30-100 mSv

10-30 mSv

*RRL assignments for some of the examinations cannot be made, because the actual patient doses in these procedures vary as a function of a number of factors (e.g., region of the body exposed to ionizing radiation, the imaging guidance that is used). The RRLs for these examinations are designated as “Varies.”

References
1. Harber P, Redlich CA, Henneberger PK. Work-Related Lung Diseases. Am J Respir Crit Care Med. 193(2):P3-4, 2016 Jan 15.
2. Tarlo SM, Altman KW, Oppenheimer J, et al. Occupational and Environmental Contributions to Chronic Cough in Adults: Chest Expert Panel Report. [Review]. Chest. 150(4):894-907, 2016 Oct.
3. Gibson GJ, Loddenkemper R, Lundback B, Sibille Y. Respiratory health and disease in Europe: the new European Lung White Book. Eur Respir J. 42(3):559-63, 2013 Sep.
4. Graber JM, Harris G, Almberg KS, Rose CS, Petsonk EL, Cohen RA. Increasing Severity of Pneumoconiosis Among Younger Former US Coal Miners Working Exclusively Under Modern Dust-Control Regulations. J Occup Environ Med. 59(6):e105-e111, 2017 Jun.
5. Reynolds LE, Blackley DJ, Laney AS, Halldin CN. Respiratory morbidity among U.S. coal miners in states outside of central Appalachia. Am J Ind Med. 60(6):513-517, 2017 Jun.
6. Grubstein A, Shtraichman O, Fireman E, Bachar GN, Noach-Ophir N, Kramer MR. Radiological Evaluation of Artificial Stone Silicosis Outbreak: Emphasizing Findings in Lung Transplant Recipients. J Comput Assist Tomogr. 40(6):923-927, 2016 Nov/Dec.
7. Dumavibhat N, Matsui T, Hoshino E, et al. Radiographic progression of silicosis among Japanese tunnel workers in Kochi. J Occup Health. 55(3):142-8, 2013.
8. Akgun M, Araz O, Ucar EY, et al. Silicosis Appears Inevitable Among Former Denim Sandblasters: A 4-Year Follow-up Study. Chest. 148(3):647-654, 2015 Sep.
9. Blackley DJ, Halldin CN, Wang ML, Laney AS. Small mine size is associated with lung function abnormality and pneumoconiosis among underground coal miners in Kentucky, Virginia and West Virginia. Occup Environ Med. 71(10):690-4, 2014 Oct.
10. Alici NS, Cimrin A, Coskun Beyan A. Pneumoconiosis in different sectors and their differences in Turkey. Tuberk. Toraks. 64(4):275-282, 2016 Dec.
11. Wade WA, Petsonk EL, Young B, Mogri I. Severe occupational pneumoconiosis among West Virginian coal miners: one hundred thirty-eight cases of progressive massive fibrosis compensated between 2000 and 2009. Chest. 139(6):1458-1462, 2011 Jun.
12. Schaal M, Severac F, Labani A, Jeung MY, Roy C, Ohana M. Diagnostic Performance of Ultra-Low-Dose Computed Tomography for Detecting Asbestos-Related Pleuropulmonary Diseases: Prospective Study in a Screening Setting. PLoS ONE. 11(12):e0168979, 2016.
13. Murray CP, Wong PM, Teh J, et al. Ultra low dose CT screen-detected non-malignant incidental findings in the Western Australian Asbestos Review Programme. Respirology. 21(8):1419-1424, 2016 11.
14. Macia-Suarez D, Sanchez-Rodriguez E, Lopez-Calvino B, Diego C, Pombar M. Low-voltage chest CT: another way to reduce the radiation dose in asbestos-exposed patients. Clin Radiol. 72(9):797.e1-797.e10, 2017 Sep.
15. Ates I, Yucesoy B, Yucel A, Suzen SH, Karakas Y, Karakaya A. Possible effect of gene polymorphisms on the release of TNFalpha and IL1 cytokines in coal workers' pneumoconiosis. Exp Toxicol Pathol. 63(1-2):175-9, 2011 Jan.
16. Braz NF, Carneiro AP, Amorim MR, et al. Association between inflammatory biomarkers in plasma, radiological severity, and duration of exposure in patients with silicosis. J Occup Environ Med. 56(5):493-7, 2014 May.
17. Liu SJ, Wang P, Jiao J, Han L, Lu YM. Differential gene expression associated with inflammation in peripheral blood cells of patients with pneumoconiosis. J Occup Health. 58(4):373-80, 2016 Jul 22.
18. Okamoto T, Fujii M, Furusawa H, Tsuchiya K, Miyazaki Y, Inase N. The usefulness of KL-6 and SP-D for the diagnosis and management of chronic hypersensitivity pneumonitis. Respir Med. 109(12):1576-81, 2015 Dec.
19. Yu B, Yang X, Li F, Wu C, Wang W, Ding W. Significance of Foxp3+CD4+ regulatory T cells in the peripheral blood of Uygur patients in the acute and chronic phases of pigeon breeder's lung. Bosn. j. basic med. sci.. 17(1):17-22, 2017 Feb 21.
20. Lee JS, Shin JH, Lee KM, et al. Serum levels of TGF-beta1 and MCP-1 as biomarkers for progressive coal workers' pneumoconiosis in retired coal workers: a three-year follow-up study. Ind Health. 52(2):129-36, 2014.
21. Berk S, Dogan DO, Gumus C, Akkurt I. Relationship between radiological (X-ray/HRCT), spirometric and clinical findings in dental technicians' pneumoconiosis. The clinical respiratory journal. 10(1):67-73, 2016 Jan.
22. Chiba S, Tsuchiya K, Akashi T, et al. Chronic Hypersensitivity Pneumonitis With a Usual Interstitial Pneumonia-Like Pattern: Correlation Between Histopathologic and Clinical Findings. Chest. 149(6):1473-81, 2016 06.
23. Fernandez Perez ER, Swigris JJ, Forssen AV, et al. Identifying an inciting antigen is associated with improved survival in patients with chronic hypersensitivity pneumonitis. Chest. 144(5):1644-1651, 2013 Nov.
24. Fujimoto N, Gemba K, Aoe K, et al. Clinical Investigation of Benign Asbestos Pleural Effusion. Pulm Med. 2015:416179, 2015.
25. Kumar R, Singh M. Bird fancier's lung: clinical-radiological presentation in 15 cases. Pneumonol Alergol Pol. 83(1):39-44, 2015.
26. Martin SG, Kronek LP, Valeyre D, et al. High-resolution computed tomography to differentiate chronic diffuse interstitial lung diseases with predominant ground-glass pattern using logical analysis of data. Eur Radiol. 20(6):1297-310, 2010 Jun.
27. Morell F, Roger A, Reyes L, Cruz MJ, Murio C, Munoz X. Bird fancier's lung: a series of 86 patients. Medicine (Baltimore). 87(2):110-30, 2008 Mar.
28. Petsonk EL, Stansbury RC, Beeckman-Wagner LA, Long JL, Wang ML. Small Airway Dysfunction and Abnormal Exercise Responses. A Study in Coal Miners. Annals of the American Thoracic Society. 13(7):1076-80, 2016 07.
29. Centers for Disease Control and Prevention (CDC).. Obliterative bronchiolitis in workers in a coffee-processing facility - Texas, 2008-2012. MMWR Morb Mortal Wkly Rep. 62(16):305-7, 2013 Apr 26.
30. King MS, Eisenberg R, Newman JH, et al. Constrictive bronchiolitis in soldiers returning from Iraq and Afghanistan.[Erratum appears in N Engl J Med. 2011 Nov 3;365(18):1749]. N Engl J Med. 365(3):222-30, 2011 Jul 21.
31. Kreiss K, Gomaa A, Kullman G, Fedan K, Simoes EJ, Enright PL. Clinical bronchiolitis obliterans in workers at a microwave-popcorn plant. N Engl J Med. 347(5):330-8, 2002 Aug 01.
32. Verma H, Nicholson AG, Kerr KM, et al. Alveolar proteinosis with hypersensitivity pneumonitis: a new clinical phenotype. Respirology. 15(8):1197-202, 2010 Nov.
33. Sharma BB, Singh S, Singh V. Hypersensitivity pneumonitis: the dug-well lung. Allergy Asthma Proc. 34(6):e59-64, 2013 Nov-Dec.
34. Pereira Faria H, de Souza Veiga A, Coutinho Teixeira L, et al. Talcosis in soapstone artisans: high-resolution CT findings in 12 patients. Clinical Radiology. 69(3):e136-9, 2014 Mar.
35. Kahkouee S, Pourghorban R, Bitarafan M, Najafizadeh K, Makki SS. Imaging Findings of Isolated Bronchial Anthracofibrosis: A Computed Tomography Analysis of Patients With Bronchoscopic and Histologic Confirmation. Arch Bronconeumol. 51(7):322-7, 2015 Jul.
36. Lai PS, Hang JQ, Zhang FY, et al. Imaging Phenotype of Occupational Endotoxin-Related Lung Function Decline. Environ Health Perspect. 124(9):1436-42, 2016 09.
37. Kramer MR, Blanc PD, Fireman E, et al. Artificial stone silicosis [corrected]: disease resurgence among artificial stone workers.[Erratum appears in Chest. 2012 Oct;142(4):1080]. Chest. 142(2):419-424, 2012 Aug.
38. Hoy RF, Baird T, Hammerschlag G, et al. Artificial stone-associated silicosis: a rapidly emerging occupational lung disease. Occup Environ Med. 75(1):3-5, 2018 Jan.
39. Laney AS, Blackley DJ, Halldin CN. Radiographic disease progression in contemporary US coal miners with progressive massive fibrosis. Occup Environ Med. 74(7):517-520, 2017 Jul.
40. Halldin CN, Petsonk EL, Laney AS. Validation of the international labour office digitized standard images for recognition and classification of radiographs of pneumoconiosis. Acad Radiol. 21(3):305-11, 2014 Mar.
41. Dogan DO, Berk S, Gumus C, Ozdemir AK, Akkurt I. A longitudinal study on lung disease in dental technicians: what has changed after seven years?. Int J Occup Med Environ Health. 26(5):693-701, 2013 Oct.
42. Tsao YC, Liu SH, Tzeng IS, Hsieh TH, Chen JY, Luo JJ. Do sanitary ceramic workers have a worse presentation of chest radiographs or pulmonary function tests than other ceramic workers?. J Formos Med Assoc. 116(3):139-144, 2017 Mar.
43. Miller A, Warshaw R, Nezamis J. Diffusing capacity and forced vital capacity in 5,003 asbestos-exposed workers: relationships to interstitial fibrosis (ILO profusion score) and pleural thickening. Am J Ind Med. 56(12):1383-93, 2013 Dec.
44. International Labour Office. Guidelines for the use of the ILO international classification of radiographs of pneumoconioses. Revised edition 2011. ed. Geneva: International Labour Office; 2011.
45. Lee WJ, Choi BS. Reliability and validity of soft copy images based on flat-panel detector in pneumoconiosis classification: comparison with the analog radiographs. Acad Radiol. 20(6):746-51, 2013 Jun.
46. Sen A, Lee SY, Gillespie BW, et al. Comparing film and digital radiographs for reliability of pneumoconiosis classifications: a modeling approach. Acad Radiol. 17(4):511-9, 2010 Apr.
47. Laney AS, Petsonk EL, Attfield MD. Intramodality and intermodality comparisons of storage phosphor computed radiography and conventional film-screen radiography in the recognition of small pneumoconiotic opacities. Chest. 140(6):1574-1580, 2011 Dec.
48. Carrillo MC, Alturkistany S, Roberts H, et al. Low-dose computed tomography (LDCT) in workers previously exposed to asbestos: detection of parenchymal lung disease. J Comput Assist Tomogr. 37(4):626-30, 2013 Jul-Aug.
49. Tamura T, Suganuma N, Hering KG, et al. Relationships (I) of International Classification of High-resolution Computed Tomography for Occupational and Environmental Respiratory Diseases with the ILO International Classification of Radiographs of Pneumoconioses for parenchymal abnormalities. Industrial Health. 53(3):260-70, 2015.
50. Lavelle LP, Brady D, McEvoy S, et al. Pulmonary fibrosis: tissue characterization using late-enhanced MRI compared with unenhanced anatomic high-resolution CT. Diagn Interv Radiol. 23(2):106-111, 2017 Mar-Apr.
51. Pinal-Fernandez I, Pineda-Sanchez V, Pallisa-Nunez E, et al. Fast 1.5 T chest MRI for the assessment of interstitial lung disease extent secondary to systemic sclerosis. Clin Rheumatol. 35(9):2339-45, 2016 Sep.
52. Mirsadraee S, Tse M, Kershaw L, et al. T1 characteristics of interstitial pulmonary fibrosis on 3T MRI-a predictor of early interstitial change?. Quant. imaging med. surg.. 6(1):42-9, 2016 Feb.
53. Yi CA, Lee KS, Han J, Chung MP, Chung MJ, Shin KM. 3-T MRI for differentiating inflammation- and fibrosis-predominant lesions of usual and nonspecific interstitial pneumonia: comparison study with pathologic correlation. AJR Am J Roentgenol. 2008; 190(4):878-885.
54. Fujimoto N, Kato K, Usami I, et al. Asbestos-related diffuse pleural thickening. Respiration. 88(4):277-84, 2014.
55. Ergun D, Ergun R, Evcik E, Nadir Ozis T, Akkurt I. The relation between the extent of radiological findings and respiratory functions in pneumoconiosis cases of dental technicians who are working in Ankara. Tuberkuloz ve Toraks. 64(2):127-36, 2016 Jun.
56. Tiwari RR.. Agreement between chest radiography and high-resolution computed tomography in diagnosing dust-related interstitial lung fibrosis. Toxicol Ind Health. 31(3):235-8, 2015 Mar.
57. Larson TC, Franzblau A, Lewin M, Goodman AB, Antao VC. Impact of body mass index on the detection of radiographic localized pleural thickening. Acad Radiol. 21(1):3-10, 2014 Jan.
58. Xing J, Huang X, Yang L, Liu Y, Zhang H, Chen W. Comparison of high-resolution computerized tomography with film-screen radiography for the evaluation of opacity and the recognition of coal workers' pneumoconiosis. J Occup Health. 56(4):301-8, 2014.
59. Laurent F, Paris C, Ferretti GR, et al. Inter-reader agreement in HRCT detection of pleural plaques and asbestosis in participants with previous occupational exposure to asbestos. Occup Environ Med. 71(12):865-70, 2014 Dec.
60. Perez-Alonso A, Cordoba-Dona JA, Millares-Lorenzo JL, Figueroa-Murillo E, Garcia-Vadillo C, Romero-Morillos J. Outbreak of silicosis in Spanish quartz conglomerate workers. Int J Occup Environ Health. 20(1):26-32, 2014 Jan-Mar.
61. Kahraman H, Koksal N, Cinkara M, Ozkan F, Sucakli MH, Ekerbicer H. Pneumoconiosis in dental technicians: HRCT and pulmonary function findings. Occupational Medicine (Oxford). 64(6):442-7, 2014 Sep.
62. Costa C, Ascenti G, Scribano E, et al. CT patterns of pleuro-pulmonary damage caused by inhalation of pumice as a model of pneumoconiosis from non-fibrous amorphous silicates. Radiologia Medica. 121(1):19-26, 2016 Jan.
63. Siribaddana AD, Wickramasekera K, Palipana WM, et al. A study on silicosis among employees of a silica processing factory in the Central Province of Sri Lanka. Ceylon Med J. 61(1):6-10, 2016 Mar.
64. Arakawa H, Kishimoto T, Ashizawa K, et al. Asbestosis and other pulmonary fibrosis in asbestos-exposed workers: high-resolution CT features with pathological correlations. Eur Radiol. 26(5):1485-92, 2016 May.
65. Akira M, Yamamoto S, Inoue Y, Sakatani M. High-resolution CT of asbestosis and idiopathic pulmonary fibrosis. AJR Am J Roentgenol. 181(1):163-9, 2003 Jul.
66. Jeong YJ, Lee KS, Chung MP, Han J, Johkoh T, Ichikado K. Chronic hypersensitivity pneumonitis and pulmonary sarcoidosis: differentiation from usual interstitial pneumonia using high-resolution computed tomography. [Review]. Semin Ultrasound CT MR. 35(1):47-58, 2014 Feb.
67. de Castro MC, Ferreira AS, Irion KL, et al. CT quantification of large opacities and emphysema in silicosis: correlations among clinical, functional, and radiological parameters. Lung. 192(4):543-51, 2014 Aug.
68. Nunes H, Schubel K, Piver D, et al. Nonspecific interstitial pneumonia: survival is influenced by the underlying cause. European Respiratory Journal. 45(3):746-55, 2015 Mar.
69. Soumagne T, Chardon ML, Dournes G, et al. Emphysema in active farmer's lung disease. PLoS ONE. 12(6):e0178263, 2017.
70. Akira M, Morinaga K. The comparison of high-resolution computed tomography findings in asbestosis and idiopathic pulmonary fibrosis. Am J Ind Med. 59(4):301-6, 2016 Apr.
71. Schikowsky C, Felten MK, Eisenhawer C, Das M, Kraus T. Lung function not affected by asbestos exposure in workers with normal Computed Tomography scan. Am J Ind Med. 60(5):422-431, 2017 May.
72. Tamura T, Suganuma N, Hering KG, et al. Relationships (II) of International Classification of High-resolution Computed Tomography for Occupational and Environmental Respiratory Diseases with ventilatory functions indices for parenchymal abnormalities. Industrial Health. 53(3):271-9, 2015.
73. Vehmas T, Oksa P. Chest HRCT signs predict deaths in long-term follow-up among asbestos exposed workers. Eur J Radiol. 83(10):1983-7, 2014 Oct.
74. Terra-Filho M, Bagatin E, Nery LE, et al. Screening of miners and millers at decreasing levels of asbestos exposure: comparison of chest radiography and thin-section computed tomography. PLoS ONE. 10(3):e0118585, 2015.
75. Hekimoglu K, Sancak T, Tor M, Besir H, Kalaycioglu B, Gundogdu S. Fast MRI evaluation of pulmonary progressive massive fibrosis with VIBE and HASTE sequences: comparison with CT. Diagnostic & Interventional Radiology. 16(1):30-7, 2010 Mar.
76. Silva CI, Muller NL, Neder JA, et al. Asbestos-related disease: progression of parenchymal abnormalities on high-resolution CT. J Thorac Imaging. 2008;23(4):251-257.
77. Johannson KA, Elicker BM, Vittinghoff E, et al. A diagnostic model for chronic hypersensitivity pneumonitis. Thorax. 71(10):951-4, 2016 Oct.
78. Okamoto T, Miyazaki Y, Ogura T, et al. Nationwide epidemiological survey of chronic hypersensitivity pneumonitis in Japan. Respir Investig. 51(3):191-9, 2013 Sep.
79. Paris C, Herin F, Reboux G, et al. Working with argan cake: a new etiology for hypersensitivity pneumonitis. BMC polm. med.. 15:18, 2015 Mar 06.
80. Miyazaki Y, Tateishi T, Akashi T, Ohtani Y, Inase N, Yoshizawa Y. Clinical predictors and histologic appearance of acute exacerbations in chronic hypersensitivity pneumonitis. Chest. 134(6):1265-70, 2008 Dec.
81. Walsh SL, Sverzellati N, Devaraj A, Wells AU, Hansell DM. Chronic hypersensitivity pneumonitis: high resolution computed tomography patterns and pulmonary function indices as prognostic determinants. Eur Radiol. 22(8):1672-9, 2012 Aug.
82. Morell F, Villar A, Montero MA, et al. Chronic hypersensitivity pneumonitis in patients diagnosed with idiopathic pulmonary fibrosis: a prospective case-cohort study. The Lancet Respiratory Medicine. 1(9):685-94, 2013 Nov.
83. Lima MS, Coletta EN, Ferreira RG, et al. Subacute and chronic hypersensitivity pneumonitis: histopathological patterns and survival. Respir Med. 103(4):508-15, 2009 Apr.
84. Chung JH, Zhan X, Cao M, et al. Presence of Air Trapping and Mosaic Attenuation on Chest Computed Tomography Predicts Survival in Chronic Hypersensitivity Pneumonitis. Ann Am Thorac Soc. 14(10):1533-1538, 2017 Oct.
85. Chung JH, Montner SM, Adegunsoye A, et al. CT findings associated with survival in chronic hypersensitivity pneumonitis. Eur Radiol. 27(12):5127-5135, 2017 Dec.
86. Jacob J, Bartholmai BJ, Egashira R, et al. Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis. BMC polm. med.. 17(1):81, 2017 May 04.
87. Jacob J, Bartholmai BJ, Rajagopalan S, et al. Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis. Eur Radiol. 27(9):3635-3646, 2017 Sep.
88. Hanak V, Golbin JM, Hartman TE, Ryu JH. High-resolution CT findings of parenchymal fibrosis correlate with prognosis in hypersensitivity pneumonitis. Chest. 134(1):133-8, 2008 Jul.
89. Mooney JJ, Elicker BM, Urbania TH, et al. Radiographic fibrosis score predicts survival in hypersensitivity pneumonitis. Chest. 144(2):586-592, 2013 Aug.
90. Tateishi T, Ohtani Y, Takemura T, et al. Serial high-resolution computed tomography findings of acute and chronic hypersensitivity pneumonitis induced by avian antigen. J Comput Assist Tomogr. 35(2):272-9, 2011 Mar-Apr.
91. Morisset J, Johannson KA, Vittinghoff E, et al. Use of Mycophenolate Mofetil or Azathioprine for the Management of Chronic Hypersensitivity Pneumonitis. Chest. 151(3):619-625, 2017 03.
92. van Rooy FG, Rooyackers JM, Prokop M, Houba R, Smit LA, Heederik DJ. Bronchiolitis obliterans syndrome in chemical workers producing diacetyl for food flavorings. Am J Respir Crit Care Med. 176(5):498-504, 2007 Sep 01.
93. Park HJ, Park SH, Im SA, Kim YK, Lee KY. CT differentiation of anthracofibrosis from endobronchial tuberculosis. AJR Am J Roentgenol. 191(1):247-51, 2008 Jul.
94. Han FF, Yang TY, Song L, et al. Clinical and pathological features and imaging manifestations of bronchial anthracofibrosis: the findings in 15 patients. Chin Med J. 126(14):2641-6, 2013 Jul.
95. Mathew L, Kirby M, Etemad-Rezai R, Wheatley A, McCormack DG, Parraga G. Hyperpolarized 3He magnetic resonance imaging: preliminary evaluation of phenotyping potential in chronic obstructive pulmonary disease. Eur J Radiol. 79(1):140-6, 2011 Jul.
96. Zha W, Kruger SJ, Cadman RV, et al. Regional Heterogeneity of Lobar Ventilation in Asthma Using Hyperpolarized Helium-3 MRI. Acad Radiol. 25(2):169-178, 2018 Feb.
97. Tahir BA, Van Holsbeke C, Ireland RH, et al. Comparison of CT-based Lobar Ventilation with 3He MR Imaging Ventilation Measurements. Radiology. 278(2):585-92, 2016 Feb.
98. Gast KK, Viallon M, Eberle B, et al. MRI in lung transplant recipients using hyperpolarized 3He: comparison with CT. J Magn Reson Imaging. 15(3):268-74, 2002 Mar.
99. Puderbach M, Eichinger M, Haeselbarth J, et al. Assessment of morphological MRI for pulmonary changes in cystic fibrosis (CF) patients: comparison to thin-section CT and chest x-ray. Invest Radiol. 42(10):715-25, 2007 Oct.
100. Capaldi DPI, Eddy RL, Svenningsen S, et al. Free-breathing Pulmonary MR Imaging to Quantify Regional Ventilation. Radiology. 287(2):693-704, 2018 05.
101. Kuramochi J, Inase N, Miyazaki Y, Kawachi H, Takemura T, Yoshizawa Y. Lung cancer in chronic hypersensitivity pneumonitis. Respiration. 82(3):263-7, 2011.
102. Hung YP, Teng CJ, Liu CJ, et al. Cancer risk among patients with coal workers' pneumoconiosis in Taiwan: a nationwide population-based study. Int J Cancer. 134(12):2910-6, 2014 Jun 15.
103. Fitzgerald NR, Flanagan WM, Evans WK, Miller AB, Canadian Partnership against Cancer (CPAC) Cancer Risk Management (CRM) Lung Cancer Working. Eligibility for low-dose computerized tomography screening among asbestos-exposed individuals. Scand J Work Environ Health. 41(4):407-12, 2015 Jul.
104. Das M, Muhlenbruch G, Mahnken AH, et al. Asbestos Surveillance Program Aachen (ASPA): initial results from baseline screening for lung cancer in asbestos-exposed high-risk individuals using low-dose multidetector-row CT. Eur Radiol. 2007;17(5):1193-1199.
105. Roberts HC, Patsios DA, Paul NS, et al. Screening for malignant pleural mesothelioma and lung cancer in individuals with a history of asbestos exposure. J Thorac Oncol. 4(5):620-8, 2009 May.
106. Pairon JC, Andujar P, Rinaldo M, et al. Asbestos exposure, pleural plaques, and the risk of death from lung cancer. Am J Respir Crit Care Med. 190(12):1413-20, 2014 Dec 15.
107. Pairon JC, Laurent F, Rinaldo M, et al. Pleural plaques and the risk of pleural mesothelioma. J Natl Cancer Inst. 105(4):293-301, 2013 Feb 20.
108. Vierikko T, Jarvenpaa R, Autti T, et al. Chest CT screening of asbestos-exposed workers: lung lesions and incidental findings. Eur Respir J. 2007;29(1):78-84.
109. Hallifax RJ, Haris M, Corcoran JP, et al. Role of CT in assessing pleural malignancy prior to thoracoscopy. Thorax. 2015;70(2):192-193.
110. Kato K, Gemba K, Ashizawa K, et al. Low-dose chest computed tomography screening of subjects exposed to asbestos. European Journal of Radiology. 101:124-128, 2018 Apr.
111. Tsim S, Stobo DB, Alexander L, Kelly C, Blyth KG. The diagnostic performance of routinely acquired and reported computed tomography imaging in patients presenting with suspected pleural malignancy. Lung Cancer. 103:38-43, 2017 01.
112. de Groot PM, Chung JH, Ackman JB, et al. ACR Appropriateness Criteria® Noninvasive Clinical Staging of Primary Lung Cancer. J Am Coll Radiol 2019;16:S184-S95.
113. Ogihara Y, Ashizawa K, Hayashi H, et al. Progressive massive fibrosis in patients with pneumoconiosis: utility of MRI in differentiating from lung cancer. Acta Radiol. 59(1):72-80, 2018 Jan.
114. Gill RR, Umeoka S, Mamata H, et al. Diffusion-weighted MRI of malignant pleural mesothelioma: preliminary assessment of apparent diffusion coefficient in histologic subtypes. AJR Am J Roentgenol. 2010;195(2):W125-130.
115. Patel AM, Berger I, Wileyto EP, et al. The value of delayed phase enhanced imaging in malignant pleural mesothelioma. J. thorac. dis.. 9(8):2344-2349, 2017 Aug.
116. Usuda K, Maeda S, Motono N, et al. Diagnostic Performance of Diffusion-Weighted Imaging for Multiple Hilar and Mediastinal Lymph Nodes with FDG Accumulation. Asian Pac J Cancer Prev. 16(15):6401-6, 2015.
117. Weber MA, Bock M, Plathow C, et al. Asbestos-related pleural disease: value of dedicated magnetic resonance imaging techniques. Invest Radiol. 2004;39(9):554-564.
118. Chung SY, Lee JH, Kim TH, Kim SJ, Kim HJ, Ryu YH. 18F-FDG PET imaging of progressive massive fibrosis. Ann Nucl Med. 24(1):21-7, 2010 Jan.
119. Reichert M, Bensadoun ES. PET imaging in patients with coal workers pneumoconiosis and suspected malignancy. J Thorac Oncol. 2009;4(5):649-651.
120. Yildirim H, Metintas M, Entok E, et al. Clinical value of fluorodeoxyglucose-positron emission tomography/computed tomography in differentiation of malignant mesothelioma from asbestos-related benign pleural disease: an observational pilot study. J Thorac Oncol. 2009;4(12):1480-1484.
121. Roca E, Laroumagne S, Vandemoortele T, et al. 18F-fluoro-2-deoxy-d-glucose positron emission tomography/computed tomography fused imaging in malignant mesothelioma patients: looking from outside is not enough. Lung Cancer. 79(2):187-90, 2013 Feb.
122. Pilling J, Dartnell JA, Lang-Lazdunski L. Integrated positron emission tomography-computed tomography does not accurately stage intrathoracic disease of patients undergoing trimodality therapy for malignant pleural mesothelioma. Thorac Cardiovasc Surg. 2010;58(4):215-219.
123. Khouri NF, Stitik FP, Erozan YS, et al. Transthoracic needle aspiration biopsy of benign and malignant lung lesions. AJR Am J Roentgenol. 144(2):281-8, 1985 Feb.
124. Li H, Boiselle PM, Shepard JO, Trotman-Dickenson B, McLoud TC. Diagnostic accuracy and safety of CT-guided percutaneous needle aspiration biopsy of the lung: comparison of small and large pulmonary nodules. AJR Am J Roentgenol. 167(1):105-9, 1996 Jul.
125. Wallace MJ, Krishnamurthy S, Broemeling LD, et al. CT-guided percutaneous fine-needle aspiration biopsy of small (< or =1-cm) pulmonary lesions. Radiology. 2002; 225(3):823-828.
126. Arakawa H, Shida H, Saito Y, et al. Pulmonary malignancy in silicosis: factors associated with radiographic detection. Eur J Radiol. 69(1):80-6, 2009 Jan.
127. American College of Radiology. ACR Appropriateness Criteria® Radiation Dose Assessment Introduction. Available at: https://edge.sitecorecloud.io/americancoldf5f-acrorgf92a-productioncb02-3650/media/ACR/Files/Clinical/Appropriateness-Criteria/ACR-Appropriateness-Criteria-Radiation-Dose-Assessment-Introduction.pdf.
Disclaimer

The ACR Committee on Appropriateness Criteria and its expert panels have developed criteria for determining appropriate imaging examinations for diagnosis and treatment of specified medical condition(s). These criteria are intended to guide radiologists, radiation oncologists and referring physicians in making decisions regarding radiologic imaging and treatment. Generally, the complexity and severity of a patient’s clinical condition should dictate the selection of appropriate imaging procedures or treatments. Only those examinations generally used for evaluation of the patient’s condition are ranked.  Other imaging studies necessary to evaluate other co-existent diseases or other medical consequences of this condition are not considered in this document. The availability of equipment or personnel may influence the selection of appropriate imaging procedures or treatments. Imaging techniques classified as investigational by the FDA have not been considered in developing these criteria; however, study of new equipment and applications should be encouraged. The ultimate decision regarding the appropriateness of any specific radiologic examination or treatment must be made by the referring physician and radiologist in light of all the circumstances presented in an individual examination.