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. 1993 Jun;50(6):514–519. doi: 10.1136/oem.50.6.514

High resolution pulmonary computed tomography scans quantified by analysis of density distribution: application to asbestosis.

D Eterović 1, Z Dujić 1, J Tocilj 1, V Capkun 1
PMCID: PMC1035478  PMID: 8329317

Abstract

A new method for quantitative evaluation for high resolution computed tomography (HRCT) of the lungs was developed by assessment of the distribution of radiological densities within the lung slices. To enable effective reduction of data and improve the sensitivity of detection of abnormalities, the density distributions were analysed by curve fitting through the gamma variate model. The output of two variables proved most representative: the most frequent density (Hoansfield units; HU) and width of distribution (HU). The method was applied to seven patients with early asbestosis (positive histological finding and International Labour Office (ILO) profusion score up to 0/1), 15 patients with advanced stage of asbestosis (positive histological finding and ILO score above 1/2), and 13 normal controls. All patients with early asbestosis had isolated reduction of diffusing lung capacity to carbon monoxide (DLCO), whereas all patients with advanced asbestosis had reduced DLCO and restrictive disease; two of them also had an obstruction pattern. The most frequent densities were significantly greater in the advanced asbestosis group (-567 HU) when compared with both the early asbestosis group (-719 HU; p = 2 x 10(-6)), and controls (-799 HU; p = 0), and they also discriminated significantly between the early asbestosis group and controls (p = 0.0002). Significantly stronger linear correlations were established between DLCO and the most frequent densities (r = 0.86) than between DLCO and HRCT score (r = 0.57) or ILO score (r = 0.34). It is concluded that fitting the curve of the density distribution enables a more objective assessment of HRCT pulmonary scans, especially in the early stage of asbestosis.

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Selected References

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  1. Aberle D. R., Gamsu G., Ray C. S., Feuerstein I. M. Asbestos-related pleural and parenchymal fibrosis: detection with high-resolution CT. Radiology. 1988 Mar;166(3):729–734. doi: 10.1148/radiology.166.3.3340770. [DOI] [PubMed] [Google Scholar]
  2. Aberle D. R., Gamsu G., Ray C. S. High-resolution CT of benign asbestos-related diseases: clinical and radiographic correlation. AJR Am J Roentgenol. 1988 Nov;151(5):883–891. doi: 10.2214/ajr.151.5.883. [DOI] [PubMed] [Google Scholar]
  3. Amandus H. E., Pendergrass E. P., Dennis J. M., Morgan W. K. Pneumoconiosis: inter-reader variability in the classification of the type of small opacities in the chest roentgenogram. Am J Roentgenol Radium Ther Nucl Med. 1974 Dec;122(4):740–743. doi: 10.2214/ajr.122.4.740. [DOI] [PubMed] [Google Scholar]
  4. Bellamy E. A., Nicholas D., Husband J. E. Quantitative assessment of lung damage due to bleomycin using computed tomography. Br J Radiol. 1987 Dec;60(720):1205–1209. doi: 10.1259/0007-1285-60-720-1205. [DOI] [PubMed] [Google Scholar]
  5. Cotes J. E., Dabbs J. M., Elwood P. C., Hall A. M., McDonald A., Saunders M. J. Iron-deficiency anaemia: its effect on transfer factor for the lung (diffusiong capacity) and ventilation and cardiac frequency during sub-maximal exercise. Clin Sci. 1972 Mar;42(3):325–335. doi: 10.1042/cs0420325. [DOI] [PubMed] [Google Scholar]
  6. Dujić Z., Tocilj J., Boschi S., Sarić M., Eterović D. Biphasic lung diffusing capacity: detection of early asbestos induced changes in lung function. Br J Ind Med. 1992 Apr;49(4):260–267. doi: 10.1136/oem.49.4.260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Dujić Z., Tocilj J., Saric M. Early detection of interstitial lung disease in asbestos exposed non-smoking workers by mid-expiratory flow rate and high resolution computed tomography. Br J Ind Med. 1991 Oct;48(10):663–664. doi: 10.1136/oem.48.10.663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Friedman A. C., Fiel S. B., Fisher M. S., Radecki P. D., Lev-Toaff A. S., Caroline D. F. Asbestos-related pleural disease and asbestosis: a comparison of CT and chest radiography. AJR Am J Roentgenol. 1988 Feb;150(2):269–275. doi: 10.2214/ajr.150.2.269. [DOI] [PubMed] [Google Scholar]
  9. Gilman M. J., Laurens R. G., Jr, Somogyi J. W., Honig E. G. CT attenuation values of lung density in sarcoidosis. J Comput Assist Tomogr. 1983 Jun;7(3):407–410. doi: 10.1097/00004728-198306000-00003. [DOI] [PubMed] [Google Scholar]
  10. Müller N. L., Staples C. A., Miller R. R., Abboud R. T. "Density mask". An objective method to quantitate emphysema using computed tomography. Chest. 1988 Oct;94(4):782–787. doi: 10.1378/chest.94.4.782. [DOI] [PubMed] [Google Scholar]
  11. Reger R. B., Amandus H. E., Morgan W. K. On the diagnosis of coalworker's pneumoconiosis. Anglo-American disharmony. Am Rev Respir Dis. 1973 Nov;108(5):1186–1191. doi: 10.1164/arrd.1973.108.5.1186. [DOI] [PubMed] [Google Scholar]
  12. Rosenstock L., Barnhart S., Heyer N. J., Pierson D. J., Hudson L. D. The relation among pulmonary function, chest roentgenographic abnormalities, and smoking status in an asbestos-exposed cohort. Am Rev Respir Dis. 1988 Aug;138(2):272–277. doi: 10.1164/ajrccm/138.2.272. [DOI] [PubMed] [Google Scholar]
  13. Sanders C., Nath P. H., Bailey W. C. Detection of emphysema with computed tomography. Correlation with pulmonary function tests and chest radiography. Invest Radiol. 1988 Apr;23(4):262–266. doi: 10.1097/00004424-198804000-00004. [DOI] [PubMed] [Google Scholar]
  14. Staples C. A., Gamsu G., Ray C. S., Webb W. R. High resolution computed tomography and lung function in asbestos-exposed workers with normal chest radiographs. Am Rev Respir Dis. 1989 Jun;139(6):1502–1508. doi: 10.1164/ajrccm/139.6.1502. [DOI] [PubMed] [Google Scholar]
  15. Tocilj J., Dujić Z., Boschi S., Sarić M. Correlation between radiological and functional findings in workers exposed to chrysotile asbestos. Med Lav. 1990 Sep-Oct;81(5):373–381. [PubMed] [Google Scholar]
  16. Yoshimura H., Hatakeyama M., Otsuji H., Maeda M., Ohishi H., Uchida H., Kasuga H., Katada H., Narita N., Mikami R. Pulmonary asbestosis: CT study of subpleural curvilinear shadow. Work in progress. Radiology. 1986 Mar;158(3):653–658. doi: 10.1148/radiology.158.3.3945733. [DOI] [PubMed] [Google Scholar]

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