Literature DB >> 28083692

Correlation of ultra-low dose chest CT findings with physiologic measures of asbestosis.

David Manners1, Patrick Wong2, Conor Murray2, Joelin Teh2, Yi Jin Kwok3, Nick de Klerk4, Helman Alfonso5, Peter Franklin4, Alison Reid5, A W Bill Musk1,4,6, Fraser J H Brims7,8,9.   

Abstract

OBJECTIVES: The correlation between ultra low dose computed tomography (ULDCT)-detected parenchymal lung changes and pulmonary function abnormalities is not well described. This study aimed to determine the relationship between ULDCT-detected interstitial lung disease (ILD) and measures of pulmonary function in an asbestos-exposed population.
METHODS: Two thoracic radiologists independently categorised prone ULDCT scans from 143 participants for ILD appearances as absent (score 0), probable (1) or definite (2) without knowledge of asbestos exposure or lung function. Pulmonary function measures included spirometry and diffusing capacity to carbon monoxide (DLCO).
RESULTS: Participants were 92% male with a median age of 73.0 years. CT dose index volume was between 0.6 and 1.8 mGy. Probable or definite ILD was reported in 63 (44.1%) participants. Inter-observer agreement was good (k = 0.613, p < 0.001). There was a statistically significant correlation between the ILD score and both forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) (r = -0.17, p = 0.04 and r = -0.20, p = 0.02). There was a strong correlation between ILD score and DLCO (r = -0.34, p < 0.0001).
CONCLUSION: Changes consistent with ILD on ULDCT correlate well with corresponding reductions in gas transfer, similar to standard CT. In asbestos-exposed populations, ULDCT may be adequate to detect radiological changes consistent with asbestosis. KEY POINTS: • Interobserver agreement for the ILD score using prone ULDCT is good. • Prone ULDCT appearances of ILD correlate with changes in spirometric observations. • Prone ULDCT appearances of ILD correlate strongly with changes in gas transfer. • Prone ULDCT may provide sufficient radiological evidence to inform the diagnosis of asbestosis.

Entities:  

Keywords:  Asbestos; Asbestosis; Multidetector computed tomography; Respiratory function tests; Screening

Mesh:

Year:  2017        PMID: 28083692     DOI: 10.1007/s00330-016-4722-7

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  21 in total

1.  Pulmonary function and high-resolution CT findings in patients with an inherited form of pulmonary fibrosis, Hermansky-Pudlak syndrome, due to mutations in HPS-1.

Authors:  M Brantly; N A Avila; V Shotelersuk; C Lucero; M Huizing; W A Gahl
Journal:  Chest       Date:  2000-01       Impact factor: 9.410

2.  Mortality in miners and millers of crocidolite in Western Australia.

Authors:  B K Armstrong; N H de Klerk; A W Musk; M S Hobbs
Journal:  Br J Ind Med       Date:  1988-01

3.  High-resolution computed tomography in idiopathic pulmonary fibrosis: diagnosis and prognosis.

Authors:  David A Lynch; J David Godwin; Sharon Safrin; Karen M Starko; Phil Hormel; Kevin K Brown; Ganesh Raghu; Talmadge E King; Williamson Z Bradford; David A Schwartz; W Richard Webb
Journal:  Am J Respir Crit Care Med       Date:  2005-05-13       Impact factor: 21.405

4.  Ultra-low-dose chest computer tomography screening of an asbestos-exposed population in Western Australia.

Authors:  Fraser J H Brims; Conor P Murray; Nick de Klerk; Helman Alfonso; Alison Reid; David Manners; Patrick M Wong; Joelin Teh; Nola Olsen; Robin Mina; A W Musk
Journal:  Am J Respir Crit Care Med       Date:  2015-01-01       Impact factor: 21.405

5.  High resolution computed tomography and lung function in asbestos-exposed workers with normal chest radiographs.

Authors:  C A Staples; G Gamsu; C S Ray; W R Webb
Journal:  Am Rev Respir Dis       Date:  1989-06

6.  Asbestos exposure and benign asbestos diseases in 772 formerly exposed workers: dose-response relationships.

Authors:  Giuseppe Mastrangelo; Maria N Ballarin; Ernesto Bellini; Fabio Bicciato; Federica Zannol; Francesco Gioffrè; Antonio Zedde; Gianna Tessadri; Ugo Fedeli; Flavio Valentini; Luca Scoizzato; Gianluca Marangi; John H Lange
Journal:  Am J Ind Med       Date:  2009-08       Impact factor: 2.214

7.  Low-dose computed tomography (LDCT) in workers previously exposed to asbestos: detection of parenchymal lung disease.

Authors:  Maria Claudia Carrillo; Samira Alturkistany; Heidi Roberts; Elsie Nguyen; Tae Bong Chung; Narinder Paul; Stephen Herman; Gordon Weisbrod; Demetris Patsios
Journal:  J Comput Assist Tomogr       Date:  2013 Jul-Aug       Impact factor: 1.826

8.  Ultra low dose CT screen-detected non-malignant incidental findings in the Western Australian Asbestos Review Programme.

Authors:  Conor P Murray; Patrick M Wong; Joelin Teh; Nick de Klerk; Tim Rosenow; Helman Alfonso; Alison Reid; Peter Franklin; A W Bill Musk; Fraser J H Brims
Journal:  Respirology       Date:  2016-06-16       Impact factor: 6.424

9.  Interobserver agreement for the ATS/ERS/JRS/ALAT criteria for a UIP pattern on CT.

Authors:  Simon L F Walsh; Lucio Calandriello; Nicola Sverzellati; Athol U Wells; David M Hansell
Journal:  Thorax       Date:  2015-11-19       Impact factor: 9.139

10.  Pathology of asbestosis- An update of the diagnostic criteria: Report of the asbestosis committee of the college of american pathologists and pulmonary pathology society.

Authors:  Victor L Roggli; Allen R Gibbs; Richard Attanoos; Andrew Churg; Helmut Popper; Philip Cagle; Bryan Corrin; Teri J Franks; Francoise Galateau-Salle; Jeff Galvin; Philip S Hasleton; Douglas W Henderson; Koichi Honma
Journal:  Arch Pathol Lab Med       Date:  2010-03       Impact factor: 5.534

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  2 in total

1.  Energy Dispersive X-ray (EDX) microanalysis: A powerful tool in biomedical research and diagnosis.

Authors:  Manuel Scimeca; Simone Bischetti; Harpreet Kaur Lamsira; Rita Bonfiglio; Elena Bonanno
Journal:  Eur J Histochem       Date:  2018-03-15       Impact factor: 3.188

2.  Restrictions of VC and DLCO in relation to asbestos-related computed tomographic findings quantified by ICOERD-based parameters.

Authors:  Lennart Ströker; Kersten Peldschus; Robert Herold; Volker Harth; Alexandra Marita Preisser
Journal:  BMC Pulm Med       Date:  2022-06-20       Impact factor: 3.320

  2 in total

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