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Interobserver variability in high-resolution CT of the lungs. Eur J Radiol Open 2020; 7:100228. [PMID: 32258248 PMCID: PMC7115039 DOI: 10.1016/j.ejro.2020.100228] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 03/05/2020] [Indexed: 11/21/2022] Open
Abstract
Purpose To quantify the interobserver variability among the most frequently encountered parenchymal patterns in High Resolution CT (HRCT) and to compare the interobserver variability in the application of the 2011 and 2018 usual interstitial pneumonia (UIP) criteria according to the joint guidelines from international thoracic and respiratory societies. Material and methods Two observers independently evaluated 126 HRCT, with examples of most common parenchymal patterns, and noted the presence of each pattern. The readers also noted whether the findings met the 2011 criteria for UIP. In a second reading, the same readers noted whether the HRCT met the UIP criteria according to the 2018 UIP update. Results The kappa values for interobserver variability for the different patterns ranged from 0.28 (intralobular lines) to 0.85 (tree-in-bud nodules). The kappa value for UIP pattern was similar for 2011 and 2018 criteria, 0.58 and 0.69, respectively. Compared to the 2011 UIP criteria, there was no statistically significant difference in the number of HRCT classified as UIP using the 2018 criteria. Conclusions There is a substantial variation in interobserver agreement between the different parenchymal patterns, which suggests that some patterns a more easily identified than others. There is also a considerable reader variation in the assessment of UIP applying the 2011 UIP criteria as well as applying the 2018 UIP update.
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LeMasters G, Lockey JE, Hilbert TJ, Levin LS, Burkle JW, Shipley R, Perme C, Meyer CA, Rice CH. A 30-year mortality and respiratory morbidity study of refractory ceramic fiber workers. Inhal Toxicol 2017; 29:462-470. [DOI: 10.1080/08958378.2017.1394931] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Grace LeMasters
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - James E. Lockey
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Internal Medicine (Pulmonary Division), University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Timothy J. Hilbert
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Linda S. Levin
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jeff W. Burkle
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Ralph Shipley
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Charles Perme
- Department of Radiology, King’s Daughters Medical Center, Ashland, KY, USA
| | - Cristopher A. Meyer
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Carol H. Rice
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Mikulski MA, Gerke AK, Newell JD, Murray AM, Smith CJ, Fuortes LJ. Lower limit of normal based spirometric abnormalities associated with radiographic abnormality in an elderly cohort at low risk for exposure. INTERNATIONAL JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH 2016; 22:121-7. [PMID: 27142581 DOI: 10.1080/10773525.2016.1176328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Although the relation between radiographic abnormalities and spirometric impairment in people with asbestosis has been studied extensively, the extent of spirometric impairment associated with milder radiographic abnormalities is not established. OBJECTIVE To test associations between mild radiographic abnormalities and Lower Limit of Normal (LLN)-based spirometry interpretation. METHODS Spirometry and CXRs were collected for 1,026 at low risk of exposure to pneumoconiotic agents participants in a medical screening program. RESULTS Individuals with each type of isolated or combined International Labour Organization (ILO) abnormalities had up to over sixfold statistically significant increase in odds of LLN-based restrictive pattern physiology (OR = 1.96, 95%CI 1.03-3.73 for parenchymal to OR = 6.09, 95%CI 1.94-19.10 for parenchymal and pleural) compared to those with normal films. CONCLUSIONS The findings from this study confirm the association of mild profusion abnormalities with clinically relevant, LLN-based lung function abnormalities.
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Affiliation(s)
- Marek A Mikulski
- a Department of Occupational and Environmental Health, College of Public Health , The University of Iowa , 2213 Westlawn, Iowa City , IA 52242 , USA
| | - Alicia K Gerke
- b Department of Internal Medicine , The University of Iowa Hospitals and Clinics , Iowa City , IA , USA
| | - John D Newell
- c Department of Radiology , The University of Iowa Hospitals and Clinics , Iowa City , IA , USA
| | - Ann M Murray
- d Roy J. and Lucille Carver College of Medicine, The University of Iowa , Iowa City , IA , USA
| | - Carmen J Smith
- e Department of Biostatistics , College of Public Health, The University of Iowa , Iowa City , IA , USA
| | - Laurence J Fuortes
- a Department of Occupational and Environmental Health, College of Public Health , The University of Iowa , 2213 Westlawn, Iowa City , IA 52242 , USA
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Chan KS, Jiao F, Mikulski MA, Gerke A, Guo J, Newell JD, Hoffman EA, Thompson B, Lee CH, Fuortes LJ. Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) Versus Normal Lung. Acad Radiol 2016; 23:304-14. [PMID: 26776294 PMCID: PMC4744594 DOI: 10.1016/j.acra.2015.11.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2015] [Revised: 11/07/2015] [Accepted: 11/16/2015] [Indexed: 11/25/2022]
Abstract
RATIONALE AND OBJECTIVES We evaluated the role of automated quantitative computed tomography (CT) scan interpretation algorithm in detecting interstitial lung disease (ILD) and/or emphysema in a sample of elderly subjects with mild lung disease. We hypothesized that the quantification and distributions of CT attenuation values on lung CT, over a subset of Hounsfield units (HUs) range (-1000 HU, 0 HU), can differentiate early or mild disease from normal lung. MATERIALS AND METHODS We compared the results of quantitative spiral rapid end-exhalation (functional residual capacity, FRC) and end-inhalation (total lung capacity, TLC) CT scan analyses of 52 subjects with radiographic evidence of mild fibrotic lung disease to the results of 17 normal subjects. Several CT value distributions were explored, including (1) that from the peripheral lung taken at TLC (with peels at 15 or 65 mm), (2) the ratio of (1) to that from the core of lung, and (3) the ratio of (2) to its FRC counterpart. We developed a fused-lasso logistic regression model that can automatically identify sub-intervals of -1000 HU and 0 HU over which a CT value distribution provides optimal discrimination between abnormal and normal scans. RESULTS The fused-lasso logistic regression model based on (2) with 15-mm peel identified the relative frequency of CT values of over -1000 HU and -900 and those over -450 HU and -200 HU as a means of discriminating abnormal versus normal lung, resulting in a zero out-sample false-positive rate, and 15% false-negative rate of that was lowered to 12% by pooling information. CONCLUSIONS We demonstrated the potential usefulness of this novel quantitative imaging analysis method in discriminating ILD and/or emphysema from normal lungs.
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Affiliation(s)
- Kung-Sik Chan
- Department of Statistics and Actuarial Science, University of Iowa, Schaeffer Hall 241, Iowa City, IA 52242.
| | - Feiran Jiao
- Department of Occupational and Environmental Health, University of Iowa, USA
| | - Marek A Mikulski
- Department of Occupational and Environmental Health, University of Iowa, USA
| | - Alicia Gerke
- Department of Internal Medicine, University of Iowa, USA
| | - Junfeng Guo
- Department of Radiology and Biomedical Engineering, University of Iowa, USA
| | - John D Newell
- Department of Radiology and Biomedical Engineering, University of Iowa, USA
| | - Eric A Hoffman
- Department of Radiology and Biomedical Engineering, University of Iowa, USA; Departments of Radiology, Internal Medicine and Biomedical Engineering, University of Iowa, USA
| | | | - Chang Hyun Lee
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | - Laurence J Fuortes
- Department of Occupational and Environmental Health and Department of Epidemiology, University of Iowa, USA
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5
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Weissman DN. Role of chest computed tomography in prevention of occupational respiratory disease: review of recent literature. Semin Respir Crit Care Med 2015; 36:433-48. [PMID: 26024350 DOI: 10.1055/s-0035-1547348] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
This review provides an update on literature published over the past 5 years that is relevant to using chest computed tomography (CT) as a tool for preventing occupational respiratory disease. An important area of investigation has been in the use of low-dose CT (LDCT) to screen asbestos-exposed populations for lung cancer. Two recent systematic reviews have reached conclusions in support of screening. Based on the limited evidence that is currently available, the Finnish Institute of Occupational Health has recommended LDCT screening in asbestos-exposed individuals if their personal combination of risk factors yields a risk for lung cancer equal to that needed for entry into the National Lung Screening Trial. It has also recommended further research, such as to document the optimal frequency of screening and the effectiveness of screening. Recent literature continues to support high-resolution CT (HRCT) as being more sensitive than chest radiography in detecting pneumoconiosis. However, there are insufficient data to determine the effectiveness of HRCT screening in improving individual outcomes if used in screening for pneumoconiosis and its routine use for this purpose cannot be recommended. However, if HRCT is used to evaluate populations, recent literature shows that the International Classification of HRCT for Occupational and Environmental Respiratory Diseases provides an important tool for reproducible evaluation and recording of findings. HRCT is an important tool for individual patient management and recent literature has documented that chest HRCT findings are significantly associated with outcomes such as pulmonary function and mortality.
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Affiliation(s)
- David N Weissman
- Division of Respiratory Disease Studies, National Institute for Occupational Safety and Health, Morgantown, West Virginia
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TAMURA T, SUGANUMA N, HERING KG, VEHMAS T, ITOH H, AKIRA M, TAKASHIMA Y, HIRANO H, KUSAKA Y. 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 2015; 53:271-9. [PMID: 25810443 PMCID: PMC4466878 DOI: 10.2486/indhealth.2014-0072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 02/04/2015] [Indexed: 05/10/2023]
Abstract
The International Classification of High-Resolution Computed Tomography (HRCT) for Occupational and Environmental Respiratory Diseases (ICOERD) is used to screen and diagnose respiratory illnesses. Using univariate and multivariate analysis, we investigated the relationship between subject characteristics and parenchymal abnormalities according to ICOERD, and the results of ventilatory function tests (VFT). Thirty-five patients with and 27 controls without mineral-dust exposure underwent VFT and HRCT. We recorded all subjects' occupational history for mineral dust exposure and smoking history. Experts independently assessed HRCT using the ICOERD parenchymal abnormalities (Items) grades for well-defined rounded opacities (RO), linear and/or irregular opacities (IR), and emphysema (EM). High-resolution computed tomography showed that 11 patients had RO; 15 patients, IR; and 19 patients, EM. According to the multiple regression model, age and height had significant associations with many indices ventilatory functions such as vital capacity, forced vital capacity, and forced expiratory volume in 1 s (FEV1). The EM summed grades on the upper, middle, and lower zones of the right and left lungs also had significant associations with FEV1 and the maximum mid-expiratory flow rate. The results suggest the ICOERD notation is adequate based on the good and significant multiple regression modeling of ventilatory function with the EM summed grades.
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Affiliation(s)
- Taro TAMURA
- Department of Environmental Health, University of Fukui
School of Medicine, Japan
| | - Narufumi SUGANUMA
- Department of Environmental Medicine, Kochi University School
of Medicine, Japan
| | - Kurt G. HERING
- Department of Diagnostic Radiology, Radiology and Nuclear
Medicine, Radiological Clinic, Miners’ Hospital, Germany
| | - Tapio VEHMAS
- Department of Radiology, Finnish Institute of Occupational
Health, Finland
| | - Harumi ITOH
- Department of Radiology, University of Fukui School of
Medicine, Japan
| | - Masanori AKIRA
- Department of Radiology, National Hospital Organization
Kinki-Chuo Chest Medical Center, Japan
| | | | | | - Yukinori KUSAKA
- Department of Environmental Health, University of Fukui
School of Medicine, Japan
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Cely-García MF, Torres-Duque CA, Durán M, Parada P, Sarmiento OL, Breysse PN, Ramos-Bonilla JP. Personal exposure to asbestos and respiratory health of heavy vehicle brake mechanics. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2015; 25:26-36. [PMID: 24496218 DOI: 10.1038/jes.2014.8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Accepted: 01/07/2014] [Indexed: 06/03/2023]
Abstract
Asbestos brake linings and blocks are currently used in heavy vehicle brake repair shops (BRSs) in Bogotá, Colombia. Some brake products are sold detached from their supports and without holes, requiring manipulation before installation. The aim of this study was to assess asbestos exposures and conduct a preliminary evaluation of respiratory health in workers of heavy vehicles in BRSs. To estimate asbestos exposures, personal and area samples were collected in two heavy vehicle BRSs. Each shop was sampled during six consecutive days for the entire work shift. Personal samples were collected on 10 workers including riveters, brake mechanics, and administrative staff. Among workers sampled, riveters had the highest phase contrast microscopy equivalent (PCME) asbestos concentrations, with 8-h time-weighted average (TWA) personal exposures ranging between 0.003 and 0.157 f/cm(3). Respiratory health evaluations were performed on the 10 workers sampled. Three workers (30%) had circumscribed pleural thickening (pleural plaques), with calcifications in two of them. This finding is strongly suggestive of asbestos exposure. The results of this study provide preliminary evidence that workers in heavy vehicle BRSs could be at excessive risk of developing asbestos-related diseases.
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Affiliation(s)
| | - Carlos A Torres-Duque
- 1] Research Department, Fundación Neumológica Colombiana, Bogotá, Colombia [2] Medical Department, Fundación Neumológica Colombiana, Bogotá, Colombia
| | - Mauricio Durán
- Medical Department, Fundación Neumológica Colombiana, Bogotá, Colombia
| | - Patricia Parada
- Research Department, Fundación Neumológica Colombiana, Bogotá, Colombia
| | | | - Patrick N Breysse
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Juan P Ramos-Bonilla
- Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogotá, Colombia
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TAMURA T, SUGANUMA N, HERING KG, VEHMAS T, ITOH H, AKIRA M, TAKASHIMA Y, HIRANO H, KUSAKA Y. 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 2015; 53:260-70. [PMID: 25810444 PMCID: PMC4463184 DOI: 10.2486/indhealth.2014-0073] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
The International Classification of High-resolution Computed Tomography (HRCT) for Occupational and Environmental Respiratory Diseases (ICOERD) has been developed for the screening, diagnosis, and epidemiological reporting of respiratory diseases caused by occupational hazards. This study aimed to establish a correlation between readings of HRCT (according to the ICOERD) and those of chest radiography (CXR) pneumoconiotic parenchymal opacities (according to the International Labor Organization Classification/International Classification of Radiographs of Pneumoconioses [ILO/ICRP]). Forty-six patients with and 28 controls without mineral dust exposure underwent posterior-anterior CXR and HRCT. We recorded all subjects' exposure and smoking history. Experts independently read CXRs (using ILO/ICRP). Experts independently assessed HRCT using the ICOERD parenchymal abnormalities grades for well-defined rounded opacities (RO), linear and/or irregular opacities (IR), and emphysema (EM). The correlation between the ICOERD summed grades and ILO/ICRP profusions was evaluated using Spearman's rank-order correlation. Twenty-three patients had small opacities on CXR. HRCT showed that 21 patients had RO; 20 patients, IR opacities; and 23 patients, EM. The correlation between ILO/ICRP profusions and the ICOERD grades was 0.844 for rounded opacities (p<0.01). ICOERD readings from HRCT scans correlated well with previously validated ILO/ICRP criteria. The ICOERD adequately detects pneumoconiotic micronodules and can be used for the interpretation of pneumoconiosis.
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Affiliation(s)
- Taro TAMURA
- Department of Environmental Health, University of Fukui
School of Medicine, Japan
- *To whom correspondence should be addressed. E-mail:
| | - Narufumi SUGANUMA
- Department of Environmental Medicine, Kochi University School
of Medicine, Japan
| | - Kurt G. HERING
- Department of Diagnostic Radiology, Radiology and Nuclear
Medicine, Radiological Clinic, Miner’s Hospital, Germany
| | - Tapio VEHMAS
- Department of Radiology, Finnish Institute of Occupational
Health, Finland
| | - Harumi ITOH
- Department of Radiology, University of Fukui School of
Medicine, Japan
| | - Masanori AKIRA
- Department of Radiology, National Hospital Organization
Kinki-Chuo Chest Medical Center, Japan
| | | | | | - Yukinori KUSAKA
- Department of Environmental Health, University of Fukui
School of Medicine, Japan
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Gislard A, Schorle E, Letourneux M, Ameille J, Brochard P, Clin B, Conso F, Laurent F, Luc A, Paris C, Pairon JC. Déclaration et reconnaissance en maladie professionnelle après dépistage tomodensitométrique de maladies pleuropulmonaires bénignes dans le programme multirégional de surveillance postprofessionnelle de personnes exposées à l’amiante. Rev Epidemiol Sante Publique 2013; 61:11-20. [DOI: 10.1016/j.respe.2012.06.402] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2011] [Revised: 05/23/2012] [Accepted: 06/07/2012] [Indexed: 10/27/2022] Open
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Meng X, Qiang Y, Zhu S, Fuhrman C, Siegfried JM, Pu J. Illustration of the obstacles in computerized lung segmentation using examples. Med Phys 2012; 39:4984-91. [PMID: 22894423 DOI: 10.1118/1.4737023] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Automated lung volume segmentation is often a preprocessing step in quantitative lung computed tomography (CT) image analysis. The objective of this study is to identify the obstacles in computerized lung volume segmentation and illustrate those explicitly using real examples. Awareness of these "difficult" cases may be helpful for the development of a robust and consistent lung segmentation algorithm. METHODS We collected a large diverse dataset consisting of 2768 chest CT examinations acquired on 2292 subjects from various sources. These examinations cover a wide range of diseases, including lung cancer, chronic obstructive pulmonary disease, human immunodeficiency virus, pulmonary embolism, pneumonia, asthma, and interstitial lung disease (ILD). The CT acquisition protocols, including dose, scanners, and reconstruction kernels, vary significantly. After the application of a "neutral" thresholding-based approach to the collected CT examinations in a batch manner, the failed cases were subjectively identified and classified into different subgroups. RESULTS Totally, 121 failed examinations are identified, corresponding to a failure ratio of 4.4%. These failed cases are summarized as 11 different subgroups, which is further classified into 3 broad categories: (1) failure caused by diseases, (2) failure caused by anatomy variability, and (3) failure caused by external factors. The failure percentages in these categories are 62.0%, 32.2%, and 5.8%, respectively. CONCLUSIONS The presence of specific lung diseases (e.g., pulmonary nodules, ILD, and pneumonia) is the primary issue in computerized lung segmentation. The segmentation failures caused by external factors and anatomy variety are relatively low but unavoidable in practice. It is desirable to develop robust schemes to handle these issues in a single pass when a large number of CT examinations need to be analyzed.
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Affiliation(s)
- Xin Meng
- Department of Structural Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
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Barr RG, Berkowitz EA, Bigazzi F, Bode F, Bon J, Bowler RP, Chiles C, Crapo JD, Criner GJ, Curtis JL, Dass C, Dirksen A, Dransfield MT, Edula G, Erikkson L, Friedlander A, Galperin-Aizenberg M, Gefter WB, Gierada DS, Grenier PA, Goldin J, Han MK, Hanania NA, Hansel NN, Jacobson FL, Kauczor HU, Kinnula VL, Lipson DA, Lynch DA, MacNee W, Make BJ, Mamary AJ, Mann H, Marchetti N, Mascalchi M, McLennan G, Murphy JR, Naidich D, Nath H, Newell JD, Pistolesi M, Regan EA, Reilly JJ, Sandhaus R, Schroeder JD, Sciurba F, Shaker S, Sharafkhaneh A, Silverman EK, Steiner RM, Strange C, Sverzellati N, Tashjian JH, van Beek EJR, Washington L, Washko GR, Westney G, Wood SA, Woodruff PG. A combined pulmonary-radiology workshop for visual evaluation of COPD: study design, chest CT findings and concordance with quantitative evaluation. COPD 2012; 9:151-9. [PMID: 22429093 DOI: 10.3109/15412555.2012.654923] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
UNLABELLED The purposes of this study were: to describe chest CT findings in normal non-smoking controls and cigarette smokers with and without COPD; to compare the prevalence of CT abnormalities with severity of COPD; and to evaluate concordance between visual and quantitative chest CT (QCT) scoring. METHODS Volumetric inspiratory and expiratory CT scans of 294 subjects, including normal non-smokers, smokers without COPD, and smokers with GOLD Stage I-IV COPD, were scored at a multi-reader workshop using a standardized worksheet. There were 58 observers (33 pulmonologists, 25 radiologists); each scan was scored by 9-11 observers. Interobserver agreement was calculated using kappa statistic. Median score of visual observations was compared with QCT measurements. RESULTS Interobserver agreement was moderate for the presence or absence of emphysema and for the presence of panlobular emphysema; fair for the presence of centrilobular, paraseptal, and bullous emphysema subtypes and for the presence of bronchial wall thickening; and poor for gas trapping, centrilobular nodularity, mosaic attenuation, and bronchial dilation. Agreement was similar for radiologists and pulmonologists. The prevalence on CT readings of most abnormalities (e.g. emphysema, bronchial wall thickening, mosaic attenuation, expiratory gas trapping) increased significantly with greater COPD severity, while the prevalence of centrilobular nodularity decreased. Concordances between visual scoring and quantitative scoring of emphysema, gas trapping and airway wall thickening were 75%, 87% and 65%, respectively. CONCLUSIONS Despite substantial inter-observer variation, visual assessment of chest CT scans in cigarette smokers provides information regarding lung disease severity; visual scoring may be complementary to quantitative evaluation.
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Affiliation(s)
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- Division of Radiology, National Jewish Health, Denver, CO 80206, USA
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Ngatu NR, Suzuki S, Kusaka Y, Shida H, Akira M, Suganuma N. Effect of a Two‐hour Training on Physicians' Skill in Interpreting Pneumoconiotic Chest Radiographs. J Occup Health 2010; 52:294-301. [DOI: 10.1539/joh.l10065] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Affiliation(s)
- Nlandu Roger Ngatu
- Department of Environmental MedicineKochi Medical School, Kochi UniversityJapan
| | - Shun Suzuki
- Department of Environmental MedicineKochi Medical School, Kochi UniversityJapan
| | - Yukinori Kusaka
- Department of Environmental HealthSchool of Medicine, Fukui UniversityJapan
| | | | - Masanori Akira
- Department of Radiology, NHO‐Kinki Chuo Chest Disease CenterJapan
| | - Narufumi Suganuma
- Department of Environmental MedicineKochi Medical School, Kochi UniversityJapan
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