Potential risk of asbestos exposure among Japanese general population: Japanese general screening study for asbestos-related diseases (JGSARD).

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1530-1530 ◽  
Author(s):  
Nobuhiko Seki ◽  
Takuhiro Yamaguchi ◽  
Kenji Eguchi ◽  
Masahiro Kaneko ◽  
Masahiko Kusumoto ◽  
...  
Keyword(s):  
Lung Cancer ◽  
General Population ◽  
Potential Risk ◽  
Low Dose ◽  
Asbestos Exposure ◽  
Low Dose Ct ◽  
Pleural Plaque ◽  
Pleural Plaques ◽  
History Of ◽  
Japanese General Population

1530 Background: The number of patients with pleural mesothelioma and lung cancer associated with asbestos exposure has recently been increasing in Japan. The aim of this study was to evaluate the results of screening for asbestos-related diseases in a group of Japanese general population. Methods: This prospective study was approved by the institutional review board. From 2006 to 2008, 9810 subjects (5283 men and 4527 women; mean age, 57 years) underwent chest radiography and low-dose CT examinations in 26 institutions in Japan. Among them, 6286 (64.1%) subjects underwent subsequent CT examinations after 2 years of interval. Clinical information such as histories of smoking and asbestos exposure was reviewed. Images were interpreted independently by 15 experienced pulmonologists or chest radiologists. Results: The history of asbestos exposure was definitely present in 1253 (12.8%) subjects, possibly present in 2058 (21.0%), and absent in 6499 (66.2%). On chest radiograph, pleural plaque and thickening were seen in 61 (0.6%) and 65 (0.6%) subjects, respectively. On low-dose CT, pleural plaque and thickening were identified in 264 (2.7%) and 245 (2.5%) subjects, respectively, and non-calcified pulmonary nodule/mass was seen in 1003 (10.2%). Furthermore, lung cancer was identified in 29 (0.3%) subjects. The history of asbestos exposure was not confirmed in 77 out of 264 subjects (29.2%) having pleural plaques on low-dose CT. Based on the logistic regression analysis, pleural plaque on low-dose CT was significantly correlated with male, age more than 60 years, smoking, and a history of asbestos exposure. Especially, total residential period in asbestos factory area as well as asbestos exposure work period showed significantly increased relative risk every 10 years. Similarly, lung cancer was significantly correlated with age more than 60 years, a history of asbestos exposure, and presence of pleural plaques. Conclusions: Our results indicate the presence of pleural plaques on low-dose CT among Japanese general population is closely associated with potential risk of asbestos exposure. However, about 30% of such subjects are not aware of a history of asbestos exposure.

Potential risk of residential asbestos exposure: Japanese general screening study for asbestos-related diseases (JGSARD).

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e12541-e12541
Author(s):  
Nobuhiko Seki ◽  
Takuhiro Yamaguchi ◽  
Kenji Eguchi ◽  
Masahiro Kaneko ◽  
Masahiko Kusumoto ◽  
...  
Keyword(s):  
Lung Cancer ◽  
General Population ◽  
Potential Risk ◽  
Large Scale ◽  
Asbestos Exposure ◽  
False Negative ◽  
General Situation ◽  
Significant Information ◽  
Pleural Plaque ◽  
Screening Study

e12541 Background: Currently, an argument about health risks by residential asbestos exposure as well as occupational asbestos exposure has been closed up in Japan. Therefore, the latest large-scale CT screening study reflective of a country's general situation of asbestos exposure will help citizens understand significant information about asbestos-related diseases. Methods: JGSARD is a prospective cohort study for the general population representative of Japan designed to evaluate the actual situation of asbestos exposure and the prevalence of asbestos-related diseases through chest radiography and low-dose CT (LDCT) at baseline and after 2 years of follow-up. From 2006 to 2008, 9810 subjects (mean age, 57 years; 54% male and 50% smokers) underwent baseline screening at 26 institutions in Japan. Lifetime self-reported history of asbestos exposure (SHAE) was obtained. Results: Occupational SHAE was definite and possible in 1103 (11.2%) and 1702 (17.3%) subjects, respectively, whereas residential SHAE was definite and possible in 262 (2.7%) and 931 (9.5%) subjects, respectively, although asbestos factory in their residential areas actually existed in 2870 (29.3%) subjects. The false negative rates of residential SHAE in all participants of this study (n=9810), those with pleural plaque on LDCT (n=264), and those with pleural plaque without occupational SHAE (n=83) were calculated as high value of 85.6%, 76.0%, and 87.9%, respectively. Presence of pleural plaque was significantly correlated with male (odds ratio [OR], 2.32), age 60 years and older (OR, 1.75), smoking (OR, 1.60), occupational or residential SHAE (OR, 3.92), residential period in asbestos factory area (OR every 10 years, 1.13), and asbestos-related work period (7 works identified). Lung cancer was identified in 29 (0.3%) subjects. Presence of lung cancer was significantly correlated with age 60 years and older (OR, 2.67) and presence of pleural plaque (OR, 4.17) regardless of occupational and residential SHAE. Conclusions: Our results indicate the potential risk of residential asbestos exposure and thus the importance of public relations and enlightenment for them among Japanese general population.

LUNGRADS AND UPDATE OF LUNG NODULES SCREENING BY LOW DOSE COMPUTED TOMOGRAPHY

2015 ◽  
pp. 12-19
Author(s):  
Thi Ngoc Ha Hoang ◽  
Trong Khoan Le
Keyword(s):  
Lung Cancer ◽  
Low Dose ◽  
False Negative ◽  
Lung Nodule ◽  
Lung Cancer Mortality ◽  
Smoking History ◽  
Low Dose Ct ◽  
History Of ◽  
Chest X Ray ◽  
Low Dose Computed Tomography

Background: A pulmonary nodule is defined as a rounded or irregular opacity, well or poorly defined, measuring up to 3 cm in diameter. Early detection the malignancy of nodules has a significant role in decreasing the mortality, increasing the survival time and consider as early diagnosis lung cancer. The main risk factors are those of current or former smokers, aged 55 to 74 years with a smoking history of at least 1 pack-day. Low dose CT: screening individuals with high risk of lung cancer by low dose CT scans could reduce lung cancer mortality by 20 percent compared to chest X-ray. Radiation dose has to maximum reduced but respect the rule of ALARA (As Low as Resonably Archivable). LungRADS 2014: Classification of American College of Radiology, LungRADS, is a newly application but showed many advantages in comparison with others classification such as increasing positive predict value (PPV), no result of false negative and cost effectiveness. Key words: LungRADS, screening lung nodule, low dose CT, lung cancer

Overwhelming Support Among Urban Irish COPD Patients for Lung Cancer Screening by Low-Dose CT Scan

Lung ◽  
2012 ◽  
Vol 190 (6) ◽  
pp. 621-628 ◽  
Author(s):  
M. Pallin ◽  
S. Walsh ◽  
M. F. O’Driscoll ◽  
C. Murray ◽  
A. Cahalane ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Ct Scan ◽  
Low Dose ◽  
Lung Cancer Screening ◽  
Low Dose Ct ◽  
Copd Patients

scholarly journals Screening for lung cancer with low-dose CT scans

2013 ◽  
Vol 51 (4) ◽  
pp. 205-206 ◽  
Author(s):  
James R. Jett
Keyword(s):  
Lung Cancer ◽  
Low Dose ◽  
Ct Scans ◽  
Low Dose Ct

Radiomic Phenotyping of the Lung Parenchyma: Feasibility Study in a Screening Cohort

2021 ◽  
Author(s):  
Babak Haghighi ◽  
Hannah Horng ◽  
Peter B Noël ◽  
Eric Cohen ◽  
Lauren Pantalone ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Low Dose ◽  
Lung Cancer Screening ◽  
Lung Parenchyma ◽  
Ct Scans ◽  
Lung Field ◽  
Reconstruction Algorithms ◽  
Low Dose Ct ◽  
Significant Difference

Abstract Rationale: High-throughput extraction of radiomic features from low-dose CT scans can characterize the heterogeneity of the lung parenchyma and potentially aid in identifying subpopulations that may have higher risk of lung diseases, such as COPD, and lung cancer due to inflammation or obstruction of the airways. We aim to determine the feasibility a lung radiomics phenotyping approach in a lung cancer screening cohort, while quantifying the effect of different CT reconstruction algorithms on phenotype robustness. Methods: We identified low-dose CT scans (n = 308) acquired with Siemens Healthineers scanners from patients who completed low-dose CT within our lung cancer screening program between 2015-2018 and had two different sets of image reconstructions kernel available (i.e., medium (I30f), sharp (I50f)) for the same acquisition. Following segmentation of the lung field, a total of 26 radiomic features were extracted from the entire 3D lung-field using a previously validated fully-automated lattice-based software pipeline, adapted for low-dose CT scans. The features extracted included gray-level histogram, co-occurrence, and run-length descriptors. Each feature was averaged for each scan within a range of lattice window sizes (W) ranging from 4-20mm. The extracted imaging features from both datasets were harmonized to correct for differences in image acquisition parameters. Subsequently, unsupervised hierarchal clustering was applied on the extracted features to identify distinct phenotypic patterns of the lung parenchyma, where consensus clustering was used to identify the optimal number of clusters (K = 2). Differences between? phenotypes for demographic and clinical covariates including sex, age, BMI, pack-years of smoking, Lung-RADS and cancer diagnosis were assessed for each phenotype cluster, and then compared across clusters for the two different CT reconstruction algorithms using the cluster entanglement metric, where a lower entanglement coefficient corresponds to good cluster alignment. Furthermore, an independent set of low-dose CT scans (n = 88) from patients with available pulmonary function data on lung obstruction were analyzed using the identified optimal clusters to assess associations to lung obstruction and validate the lung phenotyping paradigm. Results: Heatmaps generated by radiomic features identified two distinct lung parenchymal phenotype patterns across different feature extraction window sizes, for both reconstruction algorithms (P < 0.05 with K = 2). Associations of radiomic-based clusters with clinical covariates showed significant difference for BMI and pack-years of smoking (P < 0.05) for both reconstruction kernels. Radiomic phenotype patterns where similar across the two reconstructed kernels, specifically when smaller window sizes (W=4 and 8mm) were used for radiomic feature extraction, as deemed by their entanglement coefficient. Validation of clustering approaches using cluster mapping for the independent sample with lung obstruction also showed two statistically significant phenotypes (P < 0.05) with significant difference for BMI and smoking pack-years.ConclusionsRadiomic analysis can be used to characterize lung parenchymal phenotypes from low-dose CT scans, which appear reproducible for different reconstruction kernels. Further work should seek to evaluate the effect of additional CT acquisition parameters and validate these phenotypes in characterizing lung cancer screening populations, to potentially better stratify disease patterns and cancer risk.

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