Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population

2017 ◽  
Vol 28 (2) ◽  
pp. 807-815 ◽  
Author(s):  
Bertram J. Jobst ◽  
Oliver Weinheimer ◽  
Mila Trauth ◽  
Nikolaus Becker ◽  
Erna Motsch ◽  
...  
Lung Cancer ◽  
2010 ◽  
Vol 67 (2) ◽  
pp. 177-183 ◽  
Author(s):  
Ravi J. Menezes ◽  
Heidi C. Roberts ◽  
Narinder S. Paul ◽  
Maureen McGregor ◽  
Tae Bong Chung ◽  
...  

2017 ◽  
Vol 13 (4) ◽  
pp. 244-247 ◽  
Author(s):  
Krysten W. Bold ◽  
Benjamin A. Toll ◽  
Brenda Cartmel ◽  
Bennie B. Ford ◽  
Alana M. Rojewski ◽  
...  

Background:Lung cancer screening and tobacco treatment for patients at high-risk for lung cancer may greatly reduce mortality from smoking, and there is an urgent need to improve smoking cessation therapies for this population.Aims:The purpose of this study is to test the efficacy of two separate, sequential interventions to promote tobacco cessation/reduction compared to standard care in smokers considered high-risk for lung cancer.Methods:The study will recruit 276 current smokers attending a lung cancer screening clinic or considered high-risk for lung cancer based on age and smoking history across two sites. Patients first will be randomized to either standard tobacco treatment (8 weeks of nicotine patch and five individual counselling sessions) or standard tobacco treatment plus personalized gain-framed messaging. At the 8-week visit, all patients will be re-randomized to receive biomarker feedback or no biomarker feedback. Repeated assessments during treatment will be used to evaluate changes in novel biomarkers: skin carotenoids, lung function, and plasma bilirubin that will be used for biomarker feedback. We hypothesize that personalized gain-framed messages and receiving biomarker feedback related to tobacco cessation/reduction will improve quit rates and prevent relapse compared to standard care. Primary outcomes include 7-day point-prevalence abstinence verified with expired carbon monoxide at 8 weeks and mean cigarettes per day in the past week at 6 months.Conclusions:Study findings will inform the development of novel interventions for patients at risk for lung cancer to improve smoking cessation rates.


Lung Cancer ◽  
2016 ◽  
Vol 98 ◽  
pp. 91-98 ◽  
Author(s):  
Bárbara Piñeiro ◽  
Vani N. Simmons ◽  
Amanda M. Palmer ◽  
John B. Correa ◽  
Thomas H. Brandon

Lung Cancer ◽  
2004 ◽  
Vol 44 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Matthew M Clark ◽  
Lisa Sanderson Cox ◽  
James R Jett ◽  
Christi A Patten ◽  
Darrell R Schroeder ◽  
...  

2019 ◽  
Vol 65 (2) ◽  
pp. 224-233
Author(s):  
Sergey Morozov ◽  
Viktor Gombolevskiy ◽  
Anton Vladzimirskiy ◽  
Albina Laypan ◽  
Pavel Kononets ◽  
...  

Study aim. To justify selective lung cancer screening via low-dose computed tomography and evaluate its effectiveness. Materials and methods. In 2017 we have concluded the baseline stage of “Lowdose computed tomography in Moscow for lung cancer screening (LDCT-MLCS)” trial. The trial included 10 outpatient clinics with 64-detector CT units (Toshiba Aquilion 64 and Toshiba CLX). Special low-dose protocols have been developed for each unit with maximum effective dose of 1 mSv (in accordance with the requirements of paragraph 2.2.1, Sanitary Regulations 2.6.1.1192-03). The study involved 5,310 patients (53% men, 47% women) aged 18-92 years (mean age 62 years). Diagnosis verification was carried out in the specialized medical organizations via consultations, additional instrumental, laboratory as well as pathohistological studies. The results were then entered into the “National Cancer Registry”. Results. 5310 patients (53% men, 47% women) aged 18 to 92 years (an average of 62 years) participated in the LDCT-MLCS. The final cohort was comprised of 4762 (89.6%) patients. We have detected 291 (6.1%) Lung-RADS 3 lesions, 228 (4.8%) Lung- RADS 4A lesions and 196 (4.1%) Lung-RADS 4B/4X lesions. All 4B and 4X lesions were routed in accordance with the project's methodology and legislative documents. Malignant neoplasms were verified in 84 cases (1.76% of the cohort). Stage I-II lung cancer was actively detected in 40.3% of these individuals. For the first time in the Russian Federation we have calculated the number needed to screen (NNS) to identify one lung cancer (NNS=57) and to detect one Stage I lung cancer (NNS=207). Conclusions. Based on the global experience and our own practices, we argue that selective LDCT is the most systematic solution to the problem of early-stage lung cancer screening.


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