Background Lung cancer screening may provide a new opportunity for attempts to quit among smokers or might delay smoking cessation, but studies to date failed to provide evidence for this. This study investigated the effect of lung cancer screening on smoking abstinence in male smokers participating in the Dutch–Belgian randomised controlled lung cancer screening trial (NELSON trial). Methods In the NELSON trial, 50- to 75-year-old participants at high risk for developing lung cancer were randomised to either lung cancer screening or no screening. Smoking behaviour was evaluated in two random samples of male smokers in the screen (n=641) and control arm (n=643) before (T0) and 2 years after randomisation (T1). In addition, the data were also analysed by intention-to-treat (ITT) analysis, as recommended in smoking cessation intervention trials, although non-response in screening trials can also be due to reasons other than continued smoking. Results Almost 17% (16.6%) of the trial participants quit smoking, which is higher than the 3–7% found in the general adult population. However, screening was associated with a lower prolonged abstinence rate (14.5%) compared with no screening (19.1%) (OR 1.40, 95% CI 1.01 to 1.92; p<0.05). No stastistically significant difference was found after performing an ITT analysis. Conclusions This study showed that all trial participants were inclined to stop smoking more than average, which suggests that screening is a teachable moment to improve smoking behaviour. In those who underwent screening the smoking abstinence rate was significantly lower than for the control group, although the difference was modest. After ITT analysis this difference was no longer observed. Clinical trial number ISRCTN63545820.

Receiving a lung cancer computed tomography screening result might be a teachable moment for smoking cessation, but it might also unintentionally reassure smokers to continue smoking. The objective of the present study was to investigate whether test results were associated with smoking abstinence in the Dutch–Belgian Randomised Controlled Lung Cancer Screening Trial (NELSON trial).Two random samples of male smokers who had received either only negative test results (n = 550) or one or more indeterminate test result (n = 440) were sent a questionnaire 2 yrs after randomisation.Smokers with an indeterminate result reported more quit attempts (p = 0.02), but the prolonged abstinence rate in smokers receiving a negative test (46 (8.9%) out of 519 subjects) was comparable with the abstinence rate in smokers with one or more indeterminate results (48 (11.5%) out of 419 subjects) (p = 0.19). A statistically insignificant increase was found after one or more indeterminate test result (10.9 and 15.0%, respectively) compared with receiving only negative test results (8.9%) (p = 0.26).In conclusion, the outcome of the screening test had no impact on future smoking abstinence in male smokers, although all results suggest more favourable implications after one or more follow-up recommendations. Screening test outcomes could be used as a teachable moment for smoking cessation.

Background: Beyond lung cancer, screening CT contains additional information on other smoking related diseases (e.g. chronic obstructive pulmonary disease, COPD). Since pulmonary function testing is not regularly incorporated in lung cancer screening, imaging biomarkers for COPD are likely to provide important surrogate measures for disease evaluation. Therefore, this study aims to determine the independent diagnostic value of CT emphysema, CT air trapping and CT bronchial wall thickness for COPD in low-dose screening CT scans. Methods: Prebronchodilator spirometry and volumetric inspiratory and expiratory chest CT were obtained on the same day in 1140 male lung cancer screening participants. Emphysema, air trapping and bronchial wall thickness were automatically quantified in the CT scans. Logistic regression analysis was performed to derivate a model to diagnose COPD. The model was internally validated using bootstrapping techniques. Results: Each of the three CT biomarkers independently contributed diagnostic value for COPD, additional to age, body mass index, smoking history and smoking status. The diagnostic model that included all three CT biomarkers had a sensitivity and specificity of 73.2% and 88.%, respectively. The positive and negative predictive value were 80.2% and 84.2%, respectively. Of all participants, 82.8% was assigned the correct status. The C-statistic was 0.87, and the Net Reclassification Index compared to a model without any CT biomarkers was 44.4%. However, the added value of the expiratory CT data was limited, with an increase in Net Reclassification Index of 4.5% compared to a model with only inspiratory CT data. Conclusion: Quantitatively assessed CT emphysema, air trapping and bronchial wall thickness each contain independent diagnostic information for COPD, and these imaging biomarkers might prove useful in the absence of lung function testing and may influence lung cancer screening strategy. Inspiratory CT biomarkers alone may be sufficient to identify patients with COPD in lung cancer screening setting.

Randomized-controlled trials have confirmed substantial reductions in lung cancer mortality with low-dose computed tomography (LDCT) screening. Evidence on how to integrate smoking cessation support in lung cancer screening is however scarce. This represents a significant gap in the literature, as a combined strategy of lung cancer screening and smoking cessation greatly reduces the mortality risk due to lung cancer and other related comorbidities. In this review, a literature search in MEDLINE, Embase, Web of Science, the Cochrane Central Register of Controlled Trials and Google Scholar was performed to identify randomized-controlled and observational studies investigating the effect of lung cancer screening trials and integrated cessation interventions on smoking cessation. Of the 236 identified records, we included 32 original publications. Smoking cessation rates in lung cancer screening trials are promising. Especially findings suspicious for lung cancer and referral to a physician might function as a teachable moment to motivate smoking abstinence in current smokers or recent quitters. More intensive, personalized and multi-modality smoking cessation interventions delivered by a clinician appear to be the most successful in influencing smoking behavior. While it is evident that smoking cessation should be incorporated in lung cancer screening, further research is required to ascertain the optimal treatment type, modality, timing, and content of communication including the incorporation of CT results to motivate health behavior change.

Lung cancer screening (LCS) with low-dose computed tomography (LDCT) was demonstrated in the National Lung Screening Trial (NLST) to reduce mortality from the disease. European mortality data has recently become available from the Nelson randomised controlled trial, which confirmed lung cancer mortality reductions by 26% in men and 39–61% in women. Recent studies in Europe and the USA also showed positive results in screening workers exposed to asbestos. All European experts attending the “Initiative for European Lung Screening (IELS)”—a large international group of physicians and other experts concerned with lung cancer—agreed that LDCT-LCS should be implemented in Europe. However, the economic impact of LDCT-LCS and guidelines for its effective and safe implementation still need to be formulated. To this purpose, the IELS was asked to prepare recommendations to implement LCS and examine outstanding issues. A subgroup carried out a comprehensive literature review on LDCT-LCS and presented findings at a meeting held in Milan in November 2018. The present recommendations reflect that consensus was reached.