Evaluation of Conventional Cardiovascular Risk Factors and Ordinal Coronary Artery Calcium Scoring in a Lung Cancer Screening Cohort.

(1) Background: Lung cancer screening (LCS) consists of low-dose computed tomography (LDCT) results to reduce lung cancer-related mortality. The LCS program has a unique opportunity to impact CVD mortality by providing tools for CVD risk assessment and implementing preventative strategies. In this study, we estimated standardized CVD risk (SCORE) and assessed the prevalence of coronary artery calcium (CAC) in a Polish LCS cohort. (2) Methods: In this observational study, 494 LCS participants aged 50-79 years with a cigarette smoking history of at least 30 pack-years were included. Medical history, anthropometric measurements, blood pressure measurements, serum glucose, and cholesterol levels were assessed in one visit. CVD risk assessment using SCORE tables was performed. The results were compared to the general population (NATPOL 2011 study). On LDCT scans, CAC was classified using an Ordinal Score ranging from 0 to 12. (3) Results: The prevalence of classic cardiovascular risk factors was very high. Among study participants, 83.7% of men and 40.7% of women were classified with a very high CVD SCORE risk (>10%). CAC was reported in 190 (47%) participants. Calcification was categorized as severe (CAC ≥ 4) in 84 (21%) participants. (4) Conclusions: Due to the high cardiovascular risk, intensive preventive strategies are recommended for LCS participants.

miR-122 and miR-21 are Stable Components of miRNA Signatures of Early Lung Cancer after Validation in Three Independent Cohorts.

Several panels of circulating miRNAs have been reported as potential biomarkers of early lung cancer, yet the overlap of components between different panels is limited, and the universality of proposed biomarkers has been minimal across proposed panels. To assess the stability of the diagnostic potential of plasma miRNA signature of early lung cancer among different cohorts, a panel of 24 miRNAs tested in the frame of one lung cancer screening study (MOLTEST-2013, Poland) was validated with material collected in the frame of two other screening studies (MOLTEST-BIS, Poland; and SMAC, Italy) using the same standardized analytical platform (the miRCURY LNA miRNA PCR assay). On analysis of selected miRNAs, two associated with lung cancer development, miR-122 and miR-21, repetitively differentiated healthy participants from individuals with lung cancer. Additionally, miR-144 differentiated controls from cases specifically in subcohorts with adenocarcinoma. Other tested miRNAs did not overlap in the three cohorts. Classification models based on neither a single miRNA nor multicomponent miRNA panels (24-mer and 7-mer) showed classification performance sufficient for a standalone diagnostic biomarker (AUC, 75%, 71%, and 53% in MOLTEST-2013, SMAC, and MOLTEST-BIS, respectively, in the 7-mer model). The performance of classification in the MOLTEST-BIS cohort with the lowest contribution of adenocarcinomas was increased when only this cancer type was considered (AUC, 60% in 7-mer model).

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative.

INTRODUCTION: With global adoption of computed tomography (CT) lung cancer screening, there is increasing interest to use artificial intelligence (AI) deep learning methods to improve the clinical management process. To enable AI research using an open-source, cloud-based, globally distributed, screening CT imaging data set and computational environment that are compliant with the most stringent international privacy regulations that also protect the intellectual properties of researchers, the International Association for the Study of Lung Cancer sponsored development of the Early Lung Imaging Confederation (ELIC) resource in 2018. The objective of this report is to describe the updated capabilities of ELIC and illustrate how this resource can be used for clinically relevant AI research. METHODS: In this second phase of the initiative, metadata and screening CT scans from two time points were collected from 100 screening participants in seven countries. An automated deep learning AI lung segmentation algorithm, automated quantitative emphysema metrics, and a quantitative lung nodule volume measurement algorithm were run on these scans. RESULTS: A total of 1394 CTs were collected from 697 participants. The LAV950 quantitative emphysema metric was found to be potentially useful in distinguishing lung cancer from benign cases using a combined slice thickness more than or equal to 2.5 mm. Lung nodule volume change measurements had better sensitivity and specificity for classifying malignant from benign lung nodules when applied to solid lung nodules from high-quality CT scans. CONCLUSIONS: These initial experiments revealed that ELIC can support deep learning AI and quantitative imaging analyses on diverse and globally distributed cloud-based data sets.

Trimodality Treatment of Superior Sulcus Non-Small Cell Lung Cancer: An Institutional Series of 47 Consecutive Patients.

OBJECTIVES: Treatment of superior sulcus tumors (SST) using concurrent chemoradiation followed by surgery is a current standard. However, due to the rarity of this entity, clinical experience in its treatment remains scarce. Here, we present the results of a large consecutive series of patients treated with concurrent chemoradiation followed by surgery at a single academic institution. MATERIALS AND METHODS: The study group included 48 patients with pathologically confirmed SST. The treatment schedule consisted of preoperative 6-MV photon-beam radiotherapy (45-66 Gy delivered in 25-33 fractions over 5-6.5 weeks) and concurrent two cycles of platinum-based chemotherapy. Five weeks after completion of chemoradiation, pulmonary and chest wall resection was performed. RESULTS: From 2006 to 2018, 47 of 48 consecutive patients meeting protocol criteria underwent two cycles of cisplatin-based chemotherapy and concurrent radiotherapy (45-66 Gy) followed by pulmonary resection. One patient did not undergo surgery due to brain metastases that occurred during induction therapy. The median follow-up was 64.7 months. Chemoradiation was well tolerated, with no toxicity-related deaths. Twenty-one patients (44%) developed grade 3-4 side effects, of which the most common was neutropenia (17 patients; 35.4%). Seventeen patients (36.2%) had postoperative complications, and 90-day mortality was 2.1%. Three- and five-year overall survival (OS) were 43.6% and 33.5%, respectively, and three- and five-year recurrence-free survival were 42.1% and 32.4%, respectively. Thirteen (27.7%) and 22 (46.8%) patients had a complete and major pathological response, respectively. Five-year OS in patients with complete tumor regression was 52.7% (95% CI 29.4-94.5). Predictive factors of long-term survival included age below 70 years, complete resection, pathological stage, and response to induction treatment. CONCLUSIONS: Chemoradiation followed by surgery is a relatively safe method with satisfactory outcomes.

Developing a Pan-European Technical Standard for a Comprehensive High-quality Lung Cancer CT Screening Program. An ERS Technical Standard.

Screening for lung cancer with low radiation dose computed tomography (LDCT) has a strong evidence base. The European Council adopted a recommendation in November 2022 that lung cancer screening be implemented using a stepwise approach. The imperative now is to ensure that implementation follows an evidence-based process that delivers clinical and cost effectiveness. This ERS Taskforce was formed to provide a technical standard for a high-quality lung cancer screening program. METHOD: A collaborative group was convened to include members of multiple European societies (see below). Topics were identified during a scoping review and a systematic review of the literature was conducted. Full text was provided to members of the group for each topic. The final document was approved by all members and the ERS Scientific Advisory Committee. RESULTS: Ten topics were identified representing key components of a screening program. The action on findings from the LDCT were not included as they are addressed by separate international guidelines (nodule management and clinical management of lung cancer) and by a linked taskforce (incidental findings). Other than smoking cessation, other interventions that are not part of the core screening process were not included (e.g. pulmonary function measurement). Fifty-three statements were produced and areas for further research identified. CONCLUSION: This European collaborative group has produced a technical standard that is a timely contribution to implementation of LCS. It will serve as a standard that can be used, as recommended by the European Council, to ensure a high quality and effective program.

Adherence to the 2021 dietary guidelines of the European Society of Cardiology on cardiovascular disease prevention in residents of the Pomeranian Voivodeship with increased cardiovascular risk.

INTRODUCTION: Good eating habits can reduce cardiovascular risk. OBJECTIVES: The aim of this work was to verify the compliance with the new European Society of Cardiology (ESC) dietary guidelines in people with increased risk of cardiovascular disease. PATIENTS AND METHODS: The study included 1244 current or former smokers (636 men and 608 women) at a mean (SD) age of 61.6 (6.4) years who volunteered for the MOLTEST BIS lung cancer prevention program. During the program, 49% of the patients were diagnosed with one of the following: arterial hypertension (AH), diabetes mellitus (DM), or coronary artery disease (CAD). The patients with lung cancer were excluded from the study. The participants completed a Food Frequency Questionnaire (FFQ­6) and their food intake was assessed with a 24­hour dietary recall method. RESULTS: Only 2% of the studied individuals declared consuming more than 2 servings of both fruits and vegetables every day, and only 3% of the respondents confirmed daily nut consumption. Most of them weighed too much, consumed too little fiber, and derived too much energy from total and saturated fats. The mean animal to plant protein ratio was higher than recommended, as was the omega­6 to omega­3 fatty acid ratio. Only 40% of the participants with AH, DM, or CAD had a daily cholesterol intake below 200 mg, and in only 12% of them less than 7% of total energy came from saturated fats. CONCLUSIONS: The smokers with increased cardiovascular risk did not comply with the 2021 ESC dietary recommendations. The most common error was inadequate consumption of vegetables, fruits, and nuts.

Assessment of Calcium Score Cutoff Point for Clinically Significant Aortic Stenosis on Lung Cancer Screening Program Low-Dose Computed Tomography-A Cross-Sectional Analysis.

Low-dose computed tomography (LDCT) is predominantly applied in lung cancer screening programs. Tobacco smoking is the main risk factor for developing lung cancer but is also common for cardiovascular diseases, including aortic stenosis (AS). Consequently, an increased prevalence of cardiovascular diseases is expected in lung cancer screenees. Therefore, initial aortic valve calcification evaluation should be additionally performed on LDCT. The aim of this study was to estimate a calcium score (CS) cutoff point for clinically significant AS diagnosis based on LDCT, confirmed by echocardiographic examination. The study included 6631 heavy smokers who participated in a lung cancer screening program (MOLTEST BIS). LDCTs were performed on all individuals and were additionally assessed for aortic valve calcification with the use of CS according to the Agatston method. Patients with CS ≥ 900 were referred for echocardiography to confirm the diagnosis of AS and to evaluate its severity. Of 6631 individuals, 54 met the inclusion criteria and underwent echocardiography for confirmation and assessment of AS. Based on that data, receiver operating characteristic (ROC) curves of CS were plotted, and cutoff points for clinically significant AS diagnosis were established: A CS of 1758 for at least moderate AS had 85.71% (CI 65.36-95.02%) sensitivity and 75.76% (CI 58.98-87.17%) specificity; a CS of 2665 for severe AS had 87.5% (CI 73.89-94.54%) sensitivity and 76.92% (CI 49.74-91.82%) specificity. This is the first study to assess possible CS cutoff points for diagnosing clinically significant AS detected by LDCT in lung cancer screening participants. LDCT with CS assessment could enable early detection of patients with clinically significant AS and therefore identify patients who require appropriate treatment.

Inappropriate dietary habits in tobacco smokers as a potential risk factor for lung cancer: Pomeranian cohort study.

OBJECTIVE: Little is known whether diet quality modulates lung cancer risk in smokers. The aim of the study was to assess the dietary habits of a large group of volunteers participating in the lung cancer screening program. METHODS: The 62-item food frequency questionaire was completed by 5997 participants, 127 of whom (2.1%) were later diagnosed with lung cancer. Two approaches were applied to identify dietary habits. The non-healthy diet index was calculated, and a direct analysis of the frequency of consumption was used. A logistic regression analysis was performed to estimate the association between food product intake and the risk of lung cancer. RESULTS: The study population did not follow the Polish nutritional recommendations. They consumed fruits and vegetables too rarely and far too often ate non-recommended foods, such as processed meat, refined products, sugar, sweets, and salty snacks. Participants diagnosed with lung cancer more often consumed low-quality processed meat, red meat, fats, and refined bread and less often whole-grain products, tropical fruits, milk, fermented unsweetened milk drinks, nuts, honey, and wine. The non-healthy diet index score was significantly higher in those with cancer diagnosis compared with those without lung cancer (11.9 ± 5.2 versus 10.9 ± 5.3; P < 0.001). CONCLUSIONS: The surveyed population of smokers did not follow dietary recommendations; there was a particularly high index of an unhealthy diet in by people diagnosed with lung cancer. Prevention programs should be based on encouraging smoking cessation, lifestyle modification, and methods of early detection of lung cancer. Lifestyle modification should include changing eating habits based on a healthy diet, which may be an additional factor in reducing the risk of developing cancer.

Ninety-Day Mortality of Thoracoscopic vs Open Lobectomy: A Large Multicenter Cohort Study.

BACKGROUND: Studies have demonstrated a lower incidence of complications after video-assisted thoracoscopic surgery (VATS) lobectomy compared with thoracotomy, but the data on in-hospital and 90-day mortality are inconclusive. This study analyzed whether surgical approach, VATS or thoracotomy, was related to early mortality of lobectomy in lung cancer and determined the differences between in-hospital and 90-day mortality. METHODS: Data of all patients with non-small cell lung cancer who underwent lobectomy between January 1, 2007, and July 30, 2018, were retrieved from Polish National Lung Cancer Registry. Included were 31 433 patients who met all study criteria. After propensity score matching, 4946 patients in the VATS group were compared with 4946 patients in the thoracotomy group. RESULTS: Compared with thoracotomy, VATS lobectomy was related to lower in-hospital (1.5% vs 0.9%, P = .004) and 90-day mortality (3.4% vs 1.8%, P < .001). Mortality at 90 days was twice as high as in-hospital mortality in both the VATS (1.8% vs 0.9%, P < .001) and thoracotomy groups (3.4% vs 1.5%, P < .001). Postoperative complications were less common after VATS compared with thoracotomy (23.6% vs 31.8%, P < .001). CONCLUSIONS: VATS lobectomy is associated with lower in-hospital and 90-day mortality compared with thoracotomy and should be recommended for lung cancer treatment, if feasible. Patients should also be closely monitored after discharge from the hospital, because 90-day mortality is significant higher than in-hospital mortality.

Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies.

Radiomics is an emerging approach to support the diagnosis of pulmonary nodules detected via low-dose computed tomography lung cancer screening. Serum metabolome is a promising source of auxiliary biomarkers that could help enhance the precision of lung cancer diagnosis in CT-based screening. Thus, we aimed to verify whether the combination of these two techniques, which provides local/morphological and systemic/molecular features of disease at the same time, increases the performance of lung cancer classification models. The collected cohort consists of 1086 patients with radiomic and 246 patients with serum metabolomic evaluations. Different machine learning techniques, i.e., random forest and logistic regression were applied for each omics. Next, model predictions were combined with various integration methods to create a final model. The best single omics models were characterized by an AUC of 83% in radiomics and 60% in serum metabolomics. The model integration only slightly increased the performance of the combined model (AUC equal to 85%), which was not statistically significant. We concluded that radiomics itself has a good ability to discriminate lung cancer from benign lesions. However, additional research is needed to test whether its combination with other molecular assessments would further improve the diagnosis of screening-detected lung nodules.

What Inhibits Natural Killers' Performance in Tumour.

Natural killer cells are innate lymphocytes with the ability to lyse tumour cells depending on the balance of their activating and inhibiting receptors. Growing numbers of clinical trials show promising results of NK cell-based immunotherapies. Unlike T cells, NK cells can lyse tumour cells independent of antigen presentation, based simply on their activation and inhibition receptors. Various strategies to improve NK cell-based therapies are being developed, all with one goal: to shift the balance to activation. In this review, we discuss the current understanding of ways NK cells can lyse tumour cells and all the inhibitory signals stopping their cytotoxic potential.

Prevalence, symptom burden and under-diagnosis of chronic obstructive pulmonary disease in Polish lung cancer screening population: a cohort observational study.

OBJECTIVES: Lung cancer screening using low-dose CT may be not effective without considering the presence of comorbidities related to chronic smoking. The aim of the study was to establish the prevalence of chronic obstructive pulmonary disease (COPD) in group of phighlight the potential benefits atients participating in the largest Polish lung cancer screening programme MOLTEST-BIS and attempt to confirm the necessity of combined lung cancer and COPD screening. DESIGN: Cohort, prospective study. SETTING: Medical University of Gdansk, Poland PARTICIPANTS: The study included 754 participants in lung cancer screening trial from the Pomeranian region, aged 50-70 years old, current and former smokers with a smoking history ≥30 pack-years. PRIMARY AND SECONDARY OUTCOME MEASURES: Questionnaire, physical examination, anthropometric measurements, spirometry test before and after inhaled bronchodilator (400 µg of salbutamol) RESULTS: Obstructive disorders were diagnosed in 186 cases (103 male and 83 female). In the case of 144 participants (19.73%), COPD was diagnosed. Only 13.3% of participants with COPD were known about the disease earlier. According to classification of airflow limitation 55.6% of diagnosed COPD were in Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1 (mild), 38.9% in GOLD 2 (moderate), 4.9% in GOLD 3 (severe) and 0.7% in GOLD 4 (very severe) stage. Women with recognition of COPD were younger than men (63.7 vs 66.3 age) and they smoked less cigarettes (41.1 vs 51.9 pack-years). CONCLUSIONS: Prevalence of COPD in Polish lung cancer screening cohort is significant. The COPD in this group is remarkably under-diagnosed. Most diagnosed COPD cases were in the initial stage of advancement. This early detection of airflow limitation highlights the potential benefits arising from combined oncological-pulmonary screening.NKBBN.

Safety of Surgery after Neoadjuvant Targeted Therapies in Non-Small Cell Lung Cancer: A Narrative Review.

New drugs, including immune checkpoint inhibitors and targeted therapy, have changed the prognosis in a subset of patients with advanced lung cancer, and are now actively investigated in a number of trials with neoadjuvant and adjuvant regimens. However, no phase III randomized studies were published yet. The current narrative review proves that targeted therapies are safe in neoadjuvant approach. Unsurprisingly, administration of therapy is related to an acceptable toxicity profile. Severe adverse events' rate that rarely compromises outcomes of patients with advanced lung cancer is not that commonly accepted in early lung cancer as it may lead to missing the chance of curative surgery. Among those complications, the most important factors that may limit the use of targeted therapies are severe respiratory adverse events precluding the resection occurring after treatment with some anaplastic lymphoma kinase and rarely after epidermal growth factor receptor tyrosine kinase inhibitors. At this point, in the presented literature assessing the feasibility of neoadjuvant therapies with anaplastic lymphoma kinase and epidermal growth factor receptor tyrosine kinase inhibitors, we did not find any unexpected intraoperative events that would be of special interest to a thoracic surgeon. Moreover, the postoperative course was associated with typical rate of complications.

The Lipid Composition of Serum-Derived Small Extracellular Vesicles in Participants of a Lung Cancer Screening Study.

Molecular components of exosomes and other classes of small extracellular vesicles (sEV) present in human biofluids are potential biomarkers with possible applicability in the early detection of lung cancer. Here, we compared the lipid profiles of serum-derived sEV from three groups of lung cancer screening participants: individuals without pulmonary alterations, individuals with benign lung nodules, and patients with screening-detected lung cancer (81 individuals in each group). Extracellular vesicles and particles were purified from serum by size-exclusion chromatography, and a fraction enriched in sEV and depleted of low-density lipoproteins (LDLs) was selected (similar sized vesicles was observed in all groups: 70-100 nm). The targeted mass-spectrometry-based approach enabled the detection of 352 lipids, including 201 compounds used in quantitative analyses. A few compounds, exemplified by Cer(42:1), i.e., a ceramide whose increased plasma/serum level was reported in different pathological conditions, were upregulated in vesicles from cancer patients. On the other hand, the contribution of phosphatidylcholines with poly-unsaturated acyl chains was reduced in vesicles from lung cancer patients. Cancer-related features detected in serum-derived sEV were different than those of the corresponding whole serum. A high heterogeneity of lipid profiles of sEV was observed, which markedly impaired the performance of classification models based on specific compounds (the three-state classifiers showed an average AUC = 0.65 and 0.58 in the training and test subsets, respectively).

Serum Metabolite Profiles in Participants of Lung Cancer Screening Study; Comparison of Two Independent Cohorts.

Serum metabolome is a promising source of molecular biomarkers that could support early detection of lung cancer in screening programs based on low-dose computed tomography. Several panels of metabolites that differentiate lung cancer patients and healthy individuals were reported, yet none of them were validated in the population at high-risk of developing cancer. Here we analyzed serum metabolome profiles in participants of two lung cancer screening studies: MOLTEST-BIS (Poland, n = 369) and SMAC-1 (Italy, n = 93). Three groups of screening participants were included: lung cancer patients, individuals with benign pulmonary nodules, and those without any lung alterations. Concentrations of about 400 metabolites (lipids, amino acids, and biogenic amines) were measured by a mass spectrometry-based approach. We observed a reduced level of lipids, in particular cholesteryl esters, in sera of cancer patients from both studies. Despite several specific compounds showing significant differences between cancer patients and healthy controls within each study, only a few cancer-related features were common when both cohorts were compared, which included a reduced concentration of lysophosphatidylcholine LPC (18:0). Moreover, serum metabolome profiles in both noncancer groups were similar, and differences between cancer patients and both groups of healthy participants were comparable. Large heterogeneity in levels of specific metabolites was observed, both within and between cohorts, which markedly impaired the accuracy of classification models: The overall AUC values of three-state classifiers were 0.60 and 0.51 for the test (MOLTEST) and validation (SMAC) cohorts, respectively. Therefore, a hypothetical metabolite-based biomarker for early detection of lung cancer would require adjustment to lifestyle-related confounding factors that putatively affect the composition of serum metabolome.

500 Meters Is a Result of 6-Minute Walk Test Which Differentiates Patients with High and Low Risk of Postoperative Complications after Lobectomy-A Validation Study.

The 6-min walk test (6MWT) is a simple method of identifying patients with a high risk of postoperative complications. In this study, we internally validated the previously obtained threshold value of 500 m in the 6MWT as differentiating populations with a high and a low risk of postoperative complications after a lobectomy. Between November 2011 and November 2016, 624 patients who underwent a lobectomy and performed the 6MWT preoperatively entered this study. We compared the complication rates of two groups of patients-those who walked more than and those who walked less than 500 m. The patients who did not reach the distance of 500 m in the 6MWT were older (70 vs. 63 years p < 0.001), had worse pulmonary function tests (FEV1% 84 vs. 88 p = 0.041) and had a higher Charlson Comorbidity Index (p < 0.001). The patients who had a worse result in the 6MWT had a higher complication rate (52% vs. 42% p = 0.019; OR: 1.501 95% CI: 1.066-2.114) and a longer median postoperative hospital stay (7 vs. 6 days p = 0.010). In a multivariate analysis, the result of the 6MWT and pack-years proved to independently influence the risk of postoperative complications. This internal validation study confirms that 500 m is a result of the 6MWT which differentiates patients with a higher risk of postoperative complications and a prolonged hospital stay after a lobectomy.

Performance of various risk prediction models in a large lung cancer screening cohort in Gdansk, Poland-a comparative study.

BACKGROUND: Optimal selection criteria for the lung cancer screening programme remain a matter of an open debate. We performed a validation study of the three most promising lung cancer risk prediction models in a large lung cancer screening cohort of 6,631 individuals from a single European centre. METHODS: A total of 6,631 healthy volunteers (aged 50-79, smoking history ≥30 pack-years) were enrolled in the MOLTEST BIS programme between 2016 and 2018. Each participant underwent a low-dose computed chest tomography scan, and selected participants underwent a further diagnostic work-up. Various lung cancer prediction models were applied to the recruited screenees, i.e., (I) Tammemagi's Prostate, Colorectal, and Ovarian Cancer Screening Trial 2012 (PLCOm2012), (II) Liverpool Lung Project (LLP) model, and (III) Bach's lung cancer risk model. Patients (I) with 6-year lung cancer probability ≥1.3% were considered as high risk in PLCOm2012 model, (II) in LLP model with 5-year lung cancer probability ≥5.0%, and (III) in Bach's model with 5-year lung cancer probability ≥2.0%. The particular model cut-off values were employed to the cohort to evaluate each model's performance in the screened population. RESULTS: Lung cancer was diagnosed in 154 (2.3%) participants. Based on the risk estimates by PLCOm2012, LLP and Bach's models there were 82.4%, 50.3% and 19.8% of the MOLTEST BIS participants, respectively, who fulfilled the above-mentioned threshold criteria of a lung cancer development probability. Of those detected with lung cancer, 97.4%, 74.0% and 44.8% were eligible for screening by PLCOm2012, LLP and Bach's model criteria, respectively. In Tammemagi's risk prediction model only four cases (2.6%) would have been missed from the group of 154 lung cancer patients primarily detected in the MOLTEST BIS. CONCLUSIONS: Lung cancer screening enrollment based on the risk prediction models is superior to NCCN Group 1 selection criteria and offers a clinically significant reduction of screenees with a comparable proportion of detected lung cancer cases. Tammemagi's risk prediction model reduces the proportion of patients eligible for inclusion to a screening programme with a minimal loss of detected lung cancer cases.