Comparison of chest radiography and high-resolution computed tomography findings in early and low-grade coal worker’s pneumoconiosis

Savranlar, Ahmet; Altın, Remzi; Mahmutyazıcıoğlu, Kamran; Özdemir, Hüseyin; Kart, Levent; Özer, Tülay; Gündoğdu, Sadi

doi:10.1016/j.ejrad.2003.10.017

Cited by 26 publications

(21 citation statements)

References 10 publications

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“…On the one hand, with its high resolution, HRCT is superior to FSR for the detection of small opacities, interstitial fibrosis and emphysema, especially in low-grade pneumoconiosis 24) . Even though there are no pathognomonic radiographic signs of dust exposure, specific HRCT signs can be recognized like a ground-glass appearance, bullae-bleb and emphysema 25) . On the other hand, HRCT can scan all the lung tissue in a single breath hold.…”

Section: Discussionmentioning

confidence: 99%

Comparison of High‐resolution Computerized Tomography with Film‐screen Radiography for the Evaluation of Opacity and the Recognition of Coal Workers' Pneumoconiosis

Xing

Huang

Yang

et al. 2014

Journal of Occupational Health

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Jingcai XING, et al.: Comparison of HRCT and FSR in Coal Workers' Pneumoconiosis CI: 0.62−0.83) between FSR and HRCT in all coal miners. The sensitivity of HRCT for CWP diagnosis was 96.9% (93/96). We observed that 18 of the 67 (26.9%) miners negative for CWP by FSR were classified as category 1 by HRCT according to the lung parenchyma profusion category system reported by Bérgin et al. The difference in the profusion scores between CWP subjects and healthy controls for HRCT scans were statistically significantly higher than those for FSR. Conclusions: HRCT was more sensitive than FSR in recognition of the profusion of small opacities among coal miners. More research is needed to evaluate the role of HRCT in early diagnosis of CWP. (J Occup Health 2014; 56: 301-308) Key words: Coal workers' pneumoconiosis, Filmscreen radiography, High-resolution computerized tomography, Opacity coalescence, Opacity shape, Profusion of small opacities Coal workers' pneumoconiosis (CWP), caused by long-term exposure to occupational coal dust, remains one of the most serious occupational diseases in developing countries 1) . It is also the most serious occupational disease in China. Recent reports indicated that more than 2.65 million workers are exposed to coal mine dust 2) and about 5,300 to 13,000 incident CWP cases (more than 50% of all pneumoconiosis) were reported annually from 2007 to 2010 by the Chinese Ministry of Health 3). A meta-analysis of published data from 2001 to 2011 found that the pooled prevalence of CWP in China was 6.02%, much higher than that in the UK (0. 8%, during 1998-2000) or USA (3.2% in the 2000s) 4) . To detect adverse health effects, Chinese national regulations have mandated periodic medical screening for all workers exposed to hazardous dusts since 1963. These peri- Current diagnostic standards of pneumoconiosis, which is the most serious occupational disease in China, are based on film-screen radiography (FSR). However, parenchymal structure overlap limits the sensitivity of FSR in the clinic. Highresolution computerized tomography (HRCT) has the advantage of identifying nodular pulmonary parenchymal changes. In this study, we aimed to compare HRCT and FSR for recognition of the profusion of small opacities, opacity shape and opacity coalescence in coal miners with or without radiographic evidence of coal workers' pneumoconiosis (CWP) and evaluate the possible role of HRCT in CWP diagnosis. Methods: There were 96 coal miners with radiographic evidence of CWP, 67 coal miners without CWP and 37 healthy controls in this study. FSR and HRCT images for all subjects were interpreted separately by three readers. Crude agreement and Kappa values were calculated to evaluate the agreement between the two methods. Results: The overall agreement for CWP evaluation was good (crude agreement rate=87.1%, κ=0.72, 95%

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Section: Discussionmentioning

confidence: 99%

Comparison of High‐resolution Computerized Tomography with Film‐screen Radiography for the Evaluation of Opacity and the Recognition of Coal Workers' Pneumoconiosis

Xing

Huang

Yang

et al. 2014

Journal of Occupational Health

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“…Obraz uzyskany tą metodą nie podlega schematowi klasyfikacji określo-nemu w wytycznych ILO. Podejmowane są próby opracowania klasyfikacji pozwalającej na ocenę zarówno obrazów uzyskanych metodą tomografii komputerowej, jak i klasycznego badania radiologicznego -klasyfikacja fińska dla azbestozy, klasyfikacja Hosoda-Shida i ICOERD (International Classification of High-resolution Computed Tomography (HRCT) for Occupational and Environmental Respiratory Diseases -Mię-dzynarodowa Klasyfikacja Obrazów Tomografii Komputerowej Wysokiej Rozdzielczości (HRCT) dla Zawodowych i Środowiskowych Chorób Układu Oddechowego) [8,11,12]. Ich zastosowanie jest jednak ograniczone.…”

Section: Tomografia Komputerowa W Diagnostyce Pylicy Płucunclassified

“…Ich zastosowanie jest jednak ograniczone. Co więcej, mimo dużej czułości tej metody, a może właśnie z tego powodu, jednym z jej ograniczeń jest duża zmienność odczytów między ekspertami, a nawet w kilkakrotnych odczytach tego samego eksperta [7,12]. Szczególnym przypadkiem jest diagnostyka pylicy azbestowej, w której rekomendowane jest wykorzystanie tomografii komputerowej wysokiej rozdzielczości, o grubości warstwy 1 mm (HRCT) [3,6,7,12].…”

Section: Tomografia Komputerowa W Diagnostyce Pylicy Płucunclassified

Guidelines for the use of the International Classification of Radiographs of Pneumoconioses of the International Labour Office (ILO): Substantial changes in the currrent edition

Muszyńska-Graca¹,

Dąbkowska²,

Brewczyński³

2016

Med Pr

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StreszczenieMiędzynarodowa Klasyfikacja Radiogramów Pylic Płuc jest opracowanym przez Międzynarodowe Biuro Pracy (International Labour Office -ILO) w Genewie schematem pozwalającym na rejestrowanie stwierdzonych w obrazie radiologicznym zmian w obrębie klatki piersiowej w sposób uporządkowany, powtarzalny i umożliwiający dokonywanie porównań. Ma ona zastosowanie w diagnozowaniu zmian spowodowanych narażeniem na pyły. Publikowane w postaci broszury Wytyczne Stosowania Mię-dzynarodowej Klasyfikacji Radiogramów Pylic Płuc ILO zawierają szczegółowe informacje i wskazówki dotyczące posługiwania się schematem klasyfikacji radiogramów oraz standardu wykonania i zapisu badania radiologicznego klatki piersiowej. Dla uła-twienia interpretacji broszurze towarzyszy zestaw radiogramów standardowych obrazujących typowe, objęte klasyfikacją zmiany w obrębie miąższu płuc, a także opłucnej. Niniejsza praca prezentuje najistotniejsze informacje i modyfikacje wprowadzone w wydaniach wytycznych ILO z roku 2000 i 2011. Zmiany te obejmują m.in. ocenę jakości radiogramów, sposób prezentowania zmian zarejestrowanych w radiogramach standardowych (zestaw QUAD, obraz cyfrowy) oraz kodowanie obserwowanych odchyleń w obrazie klatki piersiowej niezwiązanych z narażeniem na pył. Szczególnie istotne uzupełnienia wynikają z rozwoju technik radiologicznego obrazowania płuc. Dotyczą one klasyfikowania radiograficznych obrazów klatki piersiowej zapisanych w technice cyfrowej. Med. Pr. 2016;67(6):833-837 Słowa kluczowe: pylice płuc, klasyfikacja ILO, radiogramy klatki piersiowej, diagnostyka pylicy, choroby zawodowe, narażenie na pył AbstractThe International Classification of Radiographs of Pneumoconioses is the scheme worked out by the International Labour Office in Geneva (ILO), to register radiographic chest abnormalities in a well-ordered, reproducible and comparable way. It is used for diagnosing abnormalities caused by dust exposure. Guidelines for the use of the ILO International Classification of Radiographs of Pneumoconioses contain detailed information and recommendations on how to use the classification, as well as how the chest X-ray examination should be performed and recorded. To facilitate the diagnosis of observed abnormalities the classification is completed by the set of standard radiograms illustrating typical irregularities referring to lungs and pleura, included in the classification. The article presents the key information on classification and the most important amendments adopted in the 2000 and 2011 ILO guidelines revisions. These changes refer to radiographs quality assessment, the way of presenting abnormalities registered in standard radiographs (QUAD set, digital images) and registration of failures not related to dust exposure. Particularly important complements result from the development of radiological imaging techniques. They are concerned about the classification of radiographic images of the chest recorded digitally. Med Pr 2016;67(6):833-837

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“…However, it is suggested that the high-resolution computed tomography (HRCT) is better for diagnosis of pneumoconiosis because the HRCT can detect nodules which would be overlapped with ribs and vessels on the CXR radiographs [2]. Because the diagnosis of pneumoconiosis mainly depends on individual radiologists' experiences.…”

Section: Introductionmentioning

confidence: 99%

Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis

Zhao

Hirano

et al. 2013

IEICE Trans. Inf. & Syst.

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SUMMARYThis paper describes a computer-aided diagnosis (CAD) method to classify pneumoconiosis on HRCT images. In Japan, the pneumoconiosis is divided into 4 types according to the density of nodules: Type 1 (no nodules), Type 2 (few small nodules), Type 3-a (numerous small nodules) and Type 3-b (numerous small nodules and presence of large nodules). Because most pneumoconiotic nodules are small-sized and irregular-shape, only few nodules can be detected by conventional nodule extraction methods, which would affect the classification of pneumoconiosis. To improve the performance of nodule extraction, we proposed a filter based on analysis the eigenvalues of Hessian matrix. The classification of pneumoconiosis is performed in the following steps: Firstly the large-sized nodules were extracted and cases of type 3-b were recognized. Secondly, for the rest cases, the small nodules were detected and false positives were eliminated. Thirdly we adopted a bag-of-features-based method to generate input vectors for a support vector machine (SVM) classifier. Finally cases of type 1,2 and 3-a were classified. The proposed method was evaluated on 175 HRCT scans of 112 subjects. The average accuracy of classification is 90.6%. Experimental result shows that our method would be helpful to classify pneumoconiosis on HRCT.

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Comparison of chest radiography and high-resolution computed tomography findings in early and low-grade coal worker’s pneumoconiosis

Cited by 26 publications

References 10 publications

Comparison of High‐resolution Computerized Tomography with Film‐screen Radiography for the Evaluation of Opacity and the Recognition of Coal Workers' Pneumoconiosis

Comparison of High‐resolution Computerized Tomography with Film‐screen Radiography for the Evaluation of Opacity and the Recognition of Coal Workers' Pneumoconiosis

Guidelines for the use of the International Classification of Radiographs of Pneumoconioses of the International Labour Office (ILO): Substantial changes in the currrent edition

Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis

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