scholarly journals Early detection of lung cancer in a population at high risk due to occupation and smoking

2018 ◽  
Vol 76 (3) ◽  
pp. 137-142 ◽  
Author(s):  
Laura S Welch ◽  
John M Dement ◽  
Kim Cranford ◽  
Janet Shorter ◽  
Patricia S Quinn ◽  
...  

ObjectiveThe US National Comprehensive Cancer Network (NCCN) recommends two pathways for eligibility for Early Lung Cancer Detection (ELCD) programmes. Option 2 includes individuals with occupational exposures to lung carcinogens, in combination with a lesser requirement on smoking. Our objective was to determine if this algorithm resulted in a similar prevalence of lung cancer as has been found using smoking risk alone, and if so to present an approach for lung cancer screening in high-risk worker populations.MethodsWe enrolled 1260 former workers meeting NCCN criteria, with modifications to account for occupational exposures in an ELCD programme.ResultsAt baseline, 1.6% had a lung cancer diagnosed, a rate similar to the National Lung Cancer Screening Trial (NLST). Among NLST participants, 59% were current smokers at the time of baseline scan or had quit smoking fewer than 15 years prior to baseline; all had a minimum of 30 pack-years of smoking. Among our population, only 24.5% were current smokers and 40.1% of our participants had smoked fewer than 30 pack-years; only 43.5% would meet entry criteria for the NLST. The most likely explanation for the high prevalence of screen-detected lung cancers in the face of a reduced risk from smoking is the addition of occupational risk factors for lung cancer.ConclusionOccupational exposures to lung carcinogens should be incorporated into criteria used for ELCD programmes, using the algorithm developed by NCCN or with an individualised risk assessment; current risk assessment tools can be modified to incorporate occupational risk.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 1519-1519
Author(s):  
Vineet Raghu ◽  
Thomas Mayrhofer ◽  
Hugo Aerts ◽  
Udo Hoffmann ◽  
Michael T Lu

1519 Background: Appearance on chest radiography may inform selection of high-risk smokers for lung cancer screening CT, beyond Centers for Medicare & Medicaid Services (CMS) eligibility criteria. Methods: A convolutional neural network (CXR-LC) predicting 12-year incident lung cancer from the chest radiograph image, age, sex, and smoking status (current/former) was developed in 41,856 persons aged 55-74 from the Prostate, Lung, Colorectal & Ovarian trial (PLCO). The final model was tested in held-out smokers from PLCO (n=5,615, 37.9% CMS eligible, 12-year follow-up), and externally in the National Lung Screening Trial (NLST, n=5,493, all CMS eligible, 6-year follow-up). Sensitivity was compared at a fixed screening population size defined by CMS eligibility. Ordinal CXR-LC risk score (low/indeterminate/high/very high) was based on development dataset 12-year probability thresholds (<2%/2-<3.3%/3.3-<8%/≥8%). Results are provided in test datasets only. Results: In the PLCO test dataset, CXR-LC was more sensitive than CMS eligibility at a fixed screening population size (74.9% vs. 63.8%, p=0.01) and missed 30.8% fewer lung cancers. CXR-LC risk groups were associated with incident lung cancer in PLCO test dataset smokers (very high vs. low CXR-LC risk: 12.4 vs 1.1 lung cancers/1,000 person-years) with external testing in NLST (all CMS eligible: 12.7 vs 2.3) (Table). This association was robust to adjustment for radiologist findings and the PLCOm2012 risk score. Conclusions: CXR-LC identified smokers at high risk of incident lung cancer, beyond CMS eligibility. [Table: see text]


2019 ◽  
Vol 29 (1) ◽  
pp. 19-24
Author(s):  
Wei Hao Kok ◽  
Andrea Ban Yu-Lin ◽  
Shamsul Azhar Shah ◽  
Faisal Abdul Hamid

Background: Lung cancer is the second most common cause of cancer-related death and the third most common cancer in Malaysia. The rising prevalence of lung cancer suggests the need to consider disease screening for early detection, especially in the high-risk population, as it offers the best chance of cure. Objectives: The study aims to determine the willingness of high-risk respondents to participate in a lung cancer screening programme if made available to them, and to determine their attitude towards lung cancer screening and explore factors that might affect participation in a screening programme. Method: This is a cross-sectional, descriptive study over 6 months conducted in adult patients attending medical clinics in Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using face-to-face administered questionnaires. Results: In total 180 respondents were analysed. There were 177 (98.3%) males. Mean age was 59.8 ± 9.1 years. Of the respondents, 138 (76.7%) had poor knowledge about cancer screening. Former smokers comprised 119 (66.1%) of the participants, and 61 (33.9%) were current smokers. In total, 141 (78.3%) respondents indicated willingness to participate in a lung cancer screening programme. Out of this group, 68 (48.2%) respondents were unwilling to pay for the procedure. Only 18 (12.8%) were unwilling to undergo lung cancer treatment if detected early. Conclusions: Awareness about general cancer screening is low. Our study showed that when informed of their high-risk status, respondents were willing to participate in lung cancer screening. There should be more health programmes to promote and raise awareness about lung cancer.


CHEST Journal ◽  
2004 ◽  
Vol 126 (4) ◽  
pp. 749S
Author(s):  
Gregory M. Loewen ◽  
DongFeng Tan ◽  
Donald Klippenstein ◽  
Zachary Grossman ◽  
Enriqueta Nava ◽  
...  

BMJ Open ◽  
2015 ◽  
Vol 5 (7) ◽  
pp. e008254 ◽  
Author(s):  
Noor Ali ◽  
Kate J Lifford ◽  
Ben Carter ◽  
Fiona McRonald ◽  
Ghasem Yadegarfar ◽  
...  

2021 ◽  
Author(s):  
Bojiang Chen ◽  
Jun Shao ◽  
Jinghong Xian ◽  
Pengwei Ren ◽  
Wenxin Luo ◽  
...  

Abstract BackgroundLow-dose computed tomographic (LDCT) screening has been proven to be powerful in detecting lung cancers in early stage. However, it’s hard to carry out in less-developed regions in lacking of facilities and professionals. The feasibility and efficacy of mobile LDCT scanning combined with remote reading by experienced radiologists from superior hospital for lung cancer screening in deprived areas was explored in this study.MethodsA prospective cohort was conducted in rural areas of western China. Residents over 40 years old were invited for lung cancer screening by mobile LDCT scanning combined with remote image reading or local hospital-based LDCT screening. Rates of positive pulmonary nodules and detected lung cancers in the baseline were compared between the two groups.ResultsAmong 8073 candidates with preliminary response, 7251 eligibilities were assigned to the mobile LDCT with remote reading (n = 4527) and local hospital-based LDCT screening (n = 2724) for lung cancer. Basic characteristics of the subjects were almost similar in the two cohorts except that the mean age of participants in mobile group was relatively older than control (61.18 vs. 59.84 years old, P < 0.001). 1778 participants with mobile LDCT scans with remote reading (39.3%) revealed 2570 pulmonary nodules or mass, and 352 subjects in the control group (13.0%) were detected 472 ones (P < 0.001). Proportions of nodules less than 8 mm or subsolid were both more frequent in the mobile LDCT group (83.3% vs. 76.1%, 32.9% vs. 29.8%, respectively; both P < 0.05). In the baseline screening, 26 cases of lung cancer were identified in the mobile LDCT scanning with remote reading cohort, with a lung cancer detection rate of 0.57% (26/4527), which was significantly higher than control (4/2724 = 0.15%, P = 0.006). Moreover, 80.8% (21/26) of lung cancer patients detected by mobile CT with remote reading were in stage I, remarkedly higher than that of 25.0% in control (1/4, P = 0.020).ConclusionMobile LDCT combined with remote reading is probably a potential mode for lung cancer screening in rural areas.Trial registrationNo. of registration trial was ChiCTR-DDD-15007586 (http://www.chictr.org).


Lung Cancer ◽  
2020 ◽  
Vol 148 ◽  
pp. 79-85
Author(s):  
Mark R. Waddle ◽  
Stephen J. Ko ◽  
Jackson May ◽  
Tasneem Kaleem ◽  
Daniel H. Miller ◽  
...  

2019 ◽  
Vol 15 (7) ◽  
pp. e607-e615 ◽  
Author(s):  
Amy Copeland ◽  
Angela Criswell ◽  
Andrew Ciupek ◽  
Jennifer C. King

PURPOSE: The National Lung Screening Trial demonstrated a 20% relative reduction in lung cancer mortality with low-dose computed tomography screening, leading to implementation of lung cancer screening across the United States. The Centers for Medicare and Medicaid Services approved coverage, but questions remained about effectiveness of community-based screening. To assess screening implementation during the first full year of CMS coverage, we surveyed a nationwide network of lung cancer screening centers, comparing results from academic and nonacademic centers. METHODS: One hundred sixty-five lung cancer screening centers that have been designated Screening Centers of Excellence responded to a survey about their 2016 program data and practices. The survey included 21 pretested, closed- and open-ended quantitative and qualitative questions covering implementation, workflow, numbers of screening tests completed, and cancers diagnosed. RESULTS: Centers were predominantly community based (62%), with broad geographic distribution. In both community and academic centers, more than half of lung cancers were diagnosed at stage I or limited stage, demonstrating a clear stage shift compared with historical data. Lung-RADS results were also comparable. There are wide variations in the ways centers address Centers for Medicare and Medicaid Services requirements. The most significant barriers to screening implementation were insurance and billing issues, lack of provider referral, lack of patient awareness, and internal workflow challenges. CONCLUSION: These data validate that responsible screening can take place in a community setting and that lung cancers detected by low-dose computed tomography screening are often diagnosed at an early, more treatable stage. Lung cancer screening programs have developed different ways to address requirements, but many implementation challenges remain.


Lung Cancer ◽  
2018 ◽  
Vol 124 ◽  
pp. 148-153 ◽  
Author(s):  
H. Balata ◽  
S. Blandin Knight ◽  
P. Barber ◽  
D. Colligan ◽  
E.J. Crosbie ◽  
...  

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