Literature DB >> 33371010

LDCT lung cancer screening in populations at different risk for lung cancer.

Gustavo Borges da Silva Teles1, Ana Carolina Sandoval Macedo2, Rodrigo Caruso Chate2, Viviane Arevalo Tabone Valente3, Marcelo Buarque de Gusmao Funari2, Gilberto Szarf2.   

Abstract

INTRODUCTION: The improvement of low-dose CT (LDCT) lung cancer screening selection criteria could help to include more individuals who have lung cancer, or in whom lung cancer will develop, while avoiding significant cost increase. We evaluated baseline results of LDCT lung cancer screening in a population with a heterogeneous risk profile for lung cancer.
METHODS: LDCT lung cancer screening was implemented alongside a preventive health programme in a private hospital in Brazil. Individuals older than 45 years, smokers and former smokers, regardless of tobacco exposure, were included. Patients were classified according to the National Lung Screening Trial (NLST) eligibility criteria and to PLCOm2012 6-year lung cancer risk. Patient characteristics, CT positivity rate, detection rate of lung cancer and false-positive rate were assessed.
RESULTS: LDCT scans of 472 patients were evaluated and three lung adenocarcinomas were diagnosed. CT positivity rate (Lung-RADS 3/4) was significantly higher (p=0.019) in the NLST group (10.1% (95% CI, 5.9% to 16.9%)) than in the non-NLST group (3.6% (95% CI, 2.62% to 4.83%)) and in the PLCOm2012 high-risk group (14.3% (95% CI, 6.8% to 27.7%)) than in the PLCOm2012 low-risk group (3.7% (95% CI, 2.9% to 4.8%)) (p=0.016). Detection rate of lung cancer was also significantly higher (p=0.018) among PLCOm2012 high-risk patients (5.7% (95% CI, 2.5% to 12.6%)) than in the PLCOm2012 low-risk individuals (0.2% (95% CI, 0.1% to 1.1%)). The false-positive rate for NLST criteria (16.4% (95% CI, 13.2% to 20.1%)) was higher (p<0.001) than for PLCOm2012 criteria (7.6 (95% CI, 5.3% to 10.5%)). DISCUSSION: Our study indicates a lower performance when screening low-risk individuals in comparison to screening patients meeting NLST criteria and PLCOm2012 high-risk patients. Also, incorporating PLCOm2012 6-year lung cancer risk ≥0.0151 as an eligibility criterion seems to increase lung cancer screening effectiveness. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  imaging/CT MRI; lung cancer; lung cancer screening

Year:  2020        PMID: 33371010      PMCID: PMC7011883          DOI: 10.1136/bmjresp-2019-000455

Source DB:  PubMed          Journal:  BMJ Open Respir Res        ISSN: 2052-4439


How the CT positivity, lung cancer detection rate and false-positive rate in low-dose CT lung cancer screening varies in a population with a heterogeneous risk profile for lung cancer, according to National Lung Screening Trial (NLST) and PLCOm2012 eligibility criteria? Screening low-risk individuals had lower CT positivity and lower lung cancer detection rate in comparison with screening patients meeting NLST criteria and PLCOm2012 high-risk individuals. Also, the false-positive rate for PLCOm2012 criteria was lower than for NLST criteria. Even though lung cancer can be found in low-risk individuals, screening high-risk patients (using NLST criteria and PLCOm2012 6-year lung cancer risk) rendered higher diagnostic yield in our sample.

Introduction

The National Lung Screening Trial (NLST) demonstrated a 20% reduction in lung cancer mortality for screening with low-dose CT (LDCT) versus chest radiography using age and smoking exposure as selection criteria for lung cancer screening.1 However, only 26.7% of all individuals currently being diagnosed with lung cancer in the USA meet the strict NLST eligibility criteria.2 Accordingly, there is a need to improve screening selection criteria in order to select more individuals who have lung cancer, or in whom lung cancer will develop, while avoiding significant cost increase. Some risk assessment models that incorporate additional risk factors have been developed and demonstrated to improve lung cancer screening efficiency in North America and the UK, including PLCOm2012 and Liverpool Lung Project Model.3 4 The performance of these models has been evaluated in several studies in the USA, UK, Canada, Germany and Australia, but have not been validated in South America.3–10 Also, LDCT positivity has been recently demonstrated as an independent risk factor for future lung cancer in high-risk individuals. Having at least one positive screen is associated with increased PLCOm2012 risk and improved lung cancer risk prediction.11 We compared baseline results of LDCT lung cancer screening in a population with a heterogeneous risk profile for lung cancer in Brazil, according to NLST criteria and to PLCOm2012 6-year lung cancer risk.

Methods

LDCT lung cancer screening was implemented alongside a preventive health programme in a private hospital in Brazil, where cardiovascular risk and respiratory symptoms were assessed. After discussing harms and benefits, individuals older than 45 years, smokers and former smokers, regardless of tobacco exposure, were offered participation in the screening. Baseline LDCT scans performed from May 2015 to April 2016 were reviewed. CT scans were reported by board-certified thoracic radiologists and examinations were interpreted using Lung-RADS 1.0 classification. Patients with CT positive results (Lung-RADS 3 and 4) were referred to a pulmonologist. Patients with other potentially clinically significant findings (Lung-RADS S category) were referred to their clinicians. Lung cancer data were acquired from direct contact with patients, their families and physicians. The ongoing review was approved by the institutional review board. Initially, patients were divided into two groups according to NLST eligibility criteria: NLST group (55–74 years of age, ≥30 pack-years of smoking and <16 years since quitting)1 and non-NLST group. PLCOm2012 6-year lung cancer risk was calculated and patients with cancer risk ≥0.0151 were considered PLCOm2012 high risk.3 The PLCOm2012 low-risk group included patients with 6-year lung cancer risk <0.0151. Patient characteristics, CT positivity rate, detection rate of lung cancer and false-positive rate were also assessed.

Patient and public involvement

Patients or other external influences had no involvement in the design and conduct of this study, in the writing of the manuscript and in decision-making regarding publishing the article.

Results

The preventive health programme included 4911 patients, 1165 (23.7%) of which were offered participation in the lung cancer screening programme; 472 patients (40.5%) underwent LDCT scans. Baseline characteristics according to NLST criteria are detailed in table 1. Seventy-nine patients (16.7%) met NLST criteria (mean age: 60.6 years (±5.2); median tobacco exposure: 40 pack-years (IQR 31–60) and 393 patients (83.3%) were included in the non-NLST group (mean age: 48.7 years (±8.7); median tobacco exposure: 15 pack-years (IQR 7.5–25)).
Table 1

Characteristics of individuals who attended the screening, stratified by NLST criteria

VariableNLST criterianon-NLST criteriaAllP value
No. of attendees (%)79 (16.7)393 (83.3)472 (100.0)
Mean age (±SD), y60.6 (5.2)48.7 (8.7)50.6 (9.3) <0.001
Sex (%)0.728*
 Female19 (24.1)94 (23.9)113 (23.9)
 Male60 (75.9)299 (76.1)359 (76.1)
Body mass index (mean±SD)28.3 (5.1)27.9 (4.1)28.1 (4.3)0.364
Smoking status (%)0.22*
 Former36 (45.6)153 (38.9)189 (40.0)
 Current43 (54.4)240 (61.1)283 (60.0)
Pack-years (median; quartile)40 (31; 60)15 (7.5; 25)20 (9; 30) <0.001†
Personal cancer 0.004‡
Negative70 (88.6)383 (97.4)453 (96.0)
Positive9 (11.4)10 (2.6)19 (4.0)
COPD, emphysema, bronchitis <0.001‡
Negative41 (51.9)347 (88.2)388 (82.2)
Positive38 (48.1)46 (11.8)84 (17.8)
Family history of lung cancer>0.999‡
 Negative78 (98.7)387 (98.5)465 (98.7)
 Positive1 (1.3)6 (1.5)7 (1.5)
Education (n=438) <0.001§
 Less than high school7 (9.9)2 (0.5)10 (2.1)
 High school16 (22.5)35 (9.5)57 (12.1)
 College29 (40.8)129 (35.1)169 (35.8)
 Postgraduate21 (26.8)201 (54.8)236 (50.0)
Race0.700§
 White70 (88.6)361 (91.9)431 (91.3)
 Black5 (6.3)12 (3.1)17 (3.6)
 Hispanic0 (0.0)4 (1.0)4 (0.8)
 Asian4 (5.1)16 (4.1)20 (4.2)

T-test.

Bold values indicate statistical significance.

*χ2 test.

†Mann-Whitney U test.

‡Fisher’s exact test.

§Likelihood ratio test.

COPD, chronic obstructive pulmonary disease; NLST, National Lung Screening Trial.

Characteristics of individuals who attended the screening, stratified by NLST criteria T-test. Bold values indicate statistical significance. *χ2 test. †Mann-Whitney U test. ‡Fisher’s exact test. §Likelihood ratio test. COPD, chronic obstructive pulmonary disease; NLST, National Lung Screening Trial. There were no statistically significant differences between the groups regarding sex, race, smoking status and body mass index. Educational information was obtained from 438 patients (92.8%). The NLST group had a significantly lower educational level compared with the non-NLST group. Thirty-five patients (8.0%) were included in the PLCOm2012 high-risk group and 403 patients (92.0%) were considered PLCOm2012 low-risk individuals. Baseline characteristics stratified by PLCOm2012 6-year lung cancer risk are detailed in table 2. The correlation between groups according to NLST criteria and PLCOm2012 6-year lung cancer risk is described in table 3.
Table 2

Characteristics of individuals, stratified by PLCOm2012 6-year lung cancer risk

VariablePLCO high riskPLCO low riskAllP value
Number of attendees (%)35 (8.0)403 (92.0)438 (100.0)
Mean age (±SD), y64.4 (6.1)49.4 (8.5)50.6 (9.3) <0.001
Sex (%)0.339*
 Female6 (17.1)98 (24.3)104 (23.7)
 Male29 (82.9)305 (75.7)334 (76.3)
Body mass index (mean±SD)27.3 (5.6)28.1 (4.2)28.1 (4.3)0.286
Smoking status (%) 0.031*
 Former8 (22.9)167 (41.4)175 (40.0)
 Current27 (77.1)236 (58.6)263 (60.0)
Pack-years (median; quartile)47 (34; 60)17.5 (8; 30)21 (9; 30) <0.001†
Personal cancer 0.009‡
Negative29 (85.3)391 (96.8)420 (95.9)
Positive5 (14.7)13 (3.2)18 (4.1)
COPD, emphysema, bronchitis <0.001‡
Negative15 (44.1)345 (85.4)360 (82.2)
Positive19 (55.9)59 (14.6)78 (17.8)
Family history of lung cancer0.444‡
 Negative34 (97.1)397 (98.5)431 (98.4)
 Positive1 (2.9)6 (1.5)7 (1.6)
Education (n=438) <0.001§
 Less than high school5 (14.3)4 (1.0)9 (2.1)
 High school15 (42.9)36 (8.9)51 (11.6)
 College11 (31.4)147 (36.5)158 (36.1)
 Postgraduate4 (11.4)216 (53.6)220 (50.2)
Race0.838§
 White33 (94.3)371 (92.1)404 (92.2)
 Black1 (2.9)11 (2.7)12 (2.7)
 Hispanic0 (0.0)4 (1.0)4 (0.9)
 Asian1 (2.9)17 (4.2)18 (4.1)

T-test.

*χ2 test.

†Mann-Whitney U test.

‡Fisher’s exact test.

§Likelihood ratio test.

COPD, chronic obstructive pulmonary disease; NLST, National Lung Screening Trial.

Table 3

Risk profile of individuals according to NLST criteria and PLCOm2012 6-year lung cancer risk

VariablePLCO high riskPLCO low riskAllP value
NLST <0.001
 NLST criteria29 (82.9)42 (10.4)71 (16.2)
 Non-NLST criteria6 (17.1)361 (89.6)367 (83.8)
Total35 (100.0)403 (100.0)438 (100.0)

McNemar’s test (McNemar’s test is used to compare paired proportions).

NLST, National Lung Screening Trial.

Characteristics of individuals, stratified by PLCOm2012 6-year lung cancer risk T-test. *χ2 test. †Mann-Whitney U test. ‡Fisher’s exact test. §Likelihood ratio test. COPD, chronic obstructive pulmonary disease; NLST, National Lung Screening Trial. Risk profile of individuals according to NLST criteria and PLCOm2012 6-year lung cancer risk McNemar’s test (McNemar’s test is used to compare paired proportions). NLST, National Lung Screening Trial. The CT positivity rate was 10.1% (95% CI: 5.9% to 16.9%) in the NLST group, significantly higher (p=0.019) than in the non-NLST group (3.6% (95% CI: 2.62% to 4.83%)) (table 4).
Table 4

Lung-RADS classification of LDCT, according to NLST criteria

VariableNLST criterianon NLST criteriaAllP value
Lung-RADS 0.019
 Positive8 (10.1)14 (3.6)22 (4.7)
 Negative71 (89.9)379 (96.4)450 (95.3)
Total79 (100.0)393 (100.0)472 (100.0)

Lung-RADS positive (categories 3 and 4), negative (categories 1 and 2).

Fisher’s exact test.

LDCT, low-dose CT; NLST, National Lung Screening Trial.

Lung-RADS classification of LDCT, according to NLST criteria Lung-RADS positive (categories 3 and 4), negative (categories 1 and 2). Fisher’s exact test. LDCT, low-dose CT; NLST, National Lung Screening Trial. CT positivity rate was 14.3% (95% CI: 6.8% to 27.7%) in patients with PLCOm2012 high risk, also significantly higher (p=0.016) than in patients with PLCOm2012 low risk (3.7% (95% CI: 2.9% to 4.8%)) (table 5).
Table 5

Lung-RADS classification of LDCT, according to PLCOm2012 6-year lung cancer risk

VariablePLCO high riskPLCO low riskAllP value
Lung-RADS 0.016
 Positive5 (14.3)15 (3.7)20 (4.6)
 Negative30 (85.7)388 (96.3)418 (95.4)
Total35 (100.0)403 (100.0)438 (100.0)

Lung-RADS positive (categories 3 and 4), negative (categories 1 and 2).

Fisher’s exact test.

LDCT, low-dose CT.

Lung-RADS classification of LDCT, according to PLCOm2012 6-year lung cancer risk Lung-RADS positive (categories 3 and 4), negative (categories 1 and 2). Fisher’s exact test. LDCT, low-dose CT. Three lung adenocarcinomas were diagnosed after baseline LDCT results (figure 1). The detection rate of lung cancer among NLST patients (2.5% (95% CI: 1.1% to 5.6%)) was higher than in non-NLST patients (0.3% (95% CI: 0.1% to 1.3%)), but not statistically significant (p=0.070) (table 6).
Figure 1

Baseline LDCT scans show nodules (arrows) diagnosed as lung cancers in the screening. (A) 57-year-old man, non-NLST criteria, subsolid nodule measuring 1.3 cm (solid component 0.8 cm)—Lung-RADS 4B; (B) 68-year-old man, NLST criteria, subsolid nodule measuring 1.3 cm (solid component <6 mm)—Lung-RADS 3; (C) 55-year-old man, NLST criteria, solid nodule measuring 0.8 cm—Lung-RADS 4A. LDCT, low-dose CT; NLST, NationalLung Screening Trial.

Table 6

Lung cancers stratified by NLST criteria

VariableLung cancerNo lung cancerAllP value
NLST 0.070
 NLST criteria2 (66.7)77 (16.4)79 (16.7)
 Non-NLST criteria1 (33.3)392 (83.6)393 (83.3)
Total3 (100.0)469 (100.0)472 (100.0)

Fisher’s exact test.

NLST, National Lung Screening Trial.

Baseline LDCT scans show nodules (arrows) diagnosed as lung cancers in the screening. (A) 57-year-old man, non-NLST criteria, subsolid nodule measuring 1.3 cm (solid component 0.8 cm)—Lung-RADS 4B; (B) 68-year-old man, NLST criteria, subsolid nodule measuring 1.3 cm (solid component <6 mm)—Lung-RADS 3; (C) 55-year-old man, NLST criteria, solid nodule measuring 0.8 cm—Lung-RADS 4A. LDCT, low-dose CT; NLST, NationalLung Screening Trial. Lung cancers stratified by NLST criteria Fisher’s exact test. NLST, National Lung Screening Trial. Detection rate of lung cancer in PLCOm2012 high-risk patients (5.7% (95% CI: 2.5% to 12.6%)) was significantly higher (p=0.018) than in the PLCOm2012 low-risk group (0.2% (95% CI: 0.1% to 1.1%)) (table 7).
Table 7

Lung cancers stratified by PLCOm2012 6-year lung cancer risk

VariableLung cancerNo lung cancerAllP value
PLCOm2012 0.018
 PLCO high risk2 (66.7)33 (7.6)35 (8.0)
 PLCO low risk1 (33.3)402 (92.4)403 (92.0)
Total3 (100.0)435 (100.0)438 (100.0)

Fisher’s exact test.

Lung cancers stratified by PLCOm2012 6-year lung cancer risk Fisher’s exact test. The false-positive rate for NLST criteria was 16.4% (95% CI: 13.2% to 20.1%), significantly higher (p<0.001) than for PLCOm2012 criteria (7.6% (95% CI: 5.3% to 10.5%)).

Discussion

Our study compared LDCT screening in populations at different lung cancer risk and found low baseline detection rates of lung cancer in low-risk populations (0.3% in non-NLST individuals and 0.2% in the PLCOm2012 low-risk group). Only a few studies evaluated LDCT screening in populations at low risk for lung cancer, almost exclusively in Asia. A screening study in China that included never smokers (most of them women) found lung cancer detection rate among never smokers (0.34%) to be higher compared with the group of smokers (including secondhand smokers and low-intensity smokers).12 The authors explain this because there are far more non-smokers female lung adenocarcinomas patients in East Asia than in Europe and the USA, often associated with EGFR gene mutations. The baseline detection rate of lung cancer among individuals meeting NLST criteria in our study (2.5%) was higher than other studies, such as NLST (1.0%),1 NELSON (0.9%)13 and BRELT1 (1.3%),14 the latter being the only CT screening study conducted in Brazil, which included patients meeting NLST criteria. One possible explanation for that may be related to the small number of patients at high risk in our study. Our Lung-RADS CT positivity rate was 10.1% in the NLST group and 3.6% in the non-NLST population, 14.3% in PLCOm2012 high-risk group and 3.7% in the PLCOm2012 low-risk group. Pinsky et al found a similar positivity rate in high-risk individuals applying Lung-RADS to the NLST population (13.6%).15 To our knowledge, no other study has evaluated CT screening positivity rate in low-risk individuals using the Lung-RADS classification. The use of PLCOm2012 6-year lung cancer risk as an eligibility criterion demonstrated to improve lung cancer screening efficiency compared with NLST criteria in North America.3 Crosbie et al also used PLCOm2012 6-year lung cancer risk ≥0.0151 to target high-risk individuals in deprived areas of Manchester and found a high prevalence of lung cancer (3%).10 In our study, the use of PLCOm2012 6-year lung cancer risk for defining the high-risk group has shown to increase CT positivity and lung cancer detection rate. Furthermore, the false-positive rate for PLCOm2012 criteria was lower than for NLST criteria, indicating an improvement of screening efficiency, even in a country with a high incidence of granulomatous disease as Brazil. This study has limitations. First, it included a relatively small screening population. Second, it included only baseline LDCT examinations. Therefore, it was not possible to evaluate interval lung cancer incidence or accurately assess false-negative results. A number of factors need to be taken into consideration in making decisions about implementing LDCT lung cancer screening in communities, including eligibility criteria, CT positivity and false-positive results, which may have a great impact on the cost-effectiveness of the programme.16 Previous studies have shown that patients at higher risk for lung cancer achieve the greatest benefit of screening related to lung cancer mortality.3 Our study indicates that the screening yield of low-risk individuals is lower in comparison with high-risk patients, as CT positivity and lung cancer detection rate were significantly lower in the low risk groups. As a result, screening low-risk patients could lead to a higher number of CT scans, due to its lower diagnostic yield, resulting in increased costs compared with screening a high-risk population. On the other side, incorporating PLCOm2012 6-year lung cancer risk ≥0.0151 as an eligibility criterion seems to increase lung cancer screening effectiveness.
  16 in total

1.  Performance of Lung-RADS in the National Lung Screening Trial: a retrospective assessment.

Authors:  Paul F Pinsky; David S Gierada; William Black; Reginald Munden; Hrudaya Nath; Denise Aberle; Ella Kazerooni
Journal:  Ann Intern Med       Date:  2015-04-07       Impact factor: 25.391

2.  Identifying high risk individuals for targeted lung cancer screening: Independent validation of the PLCOm2012 risk prediction tool.

Authors:  Marianne Weber; Sarsha Yap; David Goldsbury; David Manners; Martin Tammemagi; Henry Marshall; Fraser Brims; Annette McWilliams; Kwun Fong; Yoon Jung Kang; Michael Caruana; Emily Banks; Karen Canfell
Journal:  Int J Cancer       Date:  2017-04-21       Impact factor: 7.396

3.  Implications of Nine Risk Prediction Models for Selecting Ever-Smokers for Computed Tomography Lung Cancer Screening.

Authors:  Hormuzd A Katki; Stephanie A Kovalchik; Lucia C Petito; Li C Cheung; Eric Jacobs; Ahmedin Jemal; Christine D Berg; Anil K Chaturvedi
Journal:  Ann Intern Med       Date:  2018-05-15       Impact factor: 25.391

4.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

5.  Selection criteria for lung-cancer screening.

Authors:  Martin C Tammemägi; Hormuzd A Katki; William G Hocking; Timothy R Church; Neil Caporaso; Paul A Kvale; Anil K Chaturvedi; Gerard A Silvestri; Tom L Riley; John Commins; Christine D Berg
Journal:  N Engl J Med       Date:  2013-02-21       Impact factor: 91.245

6.  Applying the National Lung Screening Trial eligibility criteria to the US population: what percent of the population and of incident lung cancers would be covered?

Authors:  Paul F Pinsky; Christine D Berg
Journal:  J Med Screen       Date:  2012-10-11       Impact factor: 2.136

7.  Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study.

Authors:  Martin C Tammemagi; Heidi Schmidt; Simon Martel; Annette McWilliams; John R Goffin; Michael R Johnston; Garth Nicholas; Alain Tremblay; Rick Bhatia; Geoffrey Liu; Kam Soghrati; Kazuhiro Yasufuku; David M Hwang; Francis Laberge; Michel Gingras; Sergio Pasian; Christian Couture; John R Mayo; Paola V Nasute Fauerbach; Sukhinder Atkar-Khattra; Stuart J Peacock; Sonya Cressman; Diana Ionescu; John C English; Richard J Finley; John Yee; Serge Puksa; Lori Stewart; Scott Tsai; Ehsan Haider; Colm Boylan; Jean-Claude Cutz; Daria Manos; Zhaolin Xu; Glenwood D Goss; Jean M Seely; Kayvan Amjadi; Harmanjatinder S Sekhon; Paul Burrowes; Paul MacEachern; Stefan Urbanski; Don D Sin; Wan C Tan; Natasha B Leighl; Frances A Shepherd; William K Evans; Ming-Sound Tsao; Stephen Lam
Journal:  Lancet Oncol       Date:  2017-10-18       Impact factor: 41.316

8.  Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study.

Authors:  Kevin Ten Haaf; Jihyoun Jeon; Martin C Tammemägi; Summer S Han; Chung Yin Kong; Sylvia K Plevritis; Eric J Feuer; Harry J de Koning; Ewout W Steyerberg; Rafael Meza
Journal:  PLoS Med       Date:  2017-04-04       Impact factor: 11.069

9.  Development and Validation of a Multivariable Lung Cancer Risk Prediction Model That Includes Low-Dose Computed Tomography Screening Results: A Secondary Analysis of Data From the National Lung Screening Trial.

Authors:  Martin C Tammemägi; Kevin Ten Haaf; Iakovos Toumazis; Chung Yin Kong; Summer S Han; Jihyoun Jeon; John Commins; Thomas Riley; Rafael Meza
Journal:  JAMA Netw Open       Date:  2019-03-01

10.  UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening.

Authors:  J K Field; S W Duffy; D R Baldwin; D K Whynes; A Devaraj; K E Brain; T Eisen; J Gosney; B A Green; J A Holemans; T Kavanagh; K M Kerr; M Ledson; K J Lifford; F E McRonald; A Nair; R D Page; M K B Parmar; D M Rassl; R C Rintoul; N J Screaton; N J Wald; D Weller; P R Williamson; G Yadegarfar; D M Hansell
Journal:  Thorax       Date:  2015-12-08       Impact factor: 9.139

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1.  USPSTF2013 versus PLCOm2012 lung cancer screening eligibility criteria (International Lung Screening Trial): interim analysis of a prospective cohort study.

Authors:  Martin C Tammemägi; Mamta Ruparel; Alain Tremblay; Renelle Myers; John Mayo; John Yee; Sukhinder Atkar-Khattra; Ren Yuan; Sonya Cressman; John English; Eric Bedard; Paul MacEachern; Paul Burrowes; Samantha L Quaife; Henry Marshall; Ian Yang; Rayleen Bowman; Linda Passmore; Annette McWilliams; Fraser Brims; Kuan Pin Lim; Lin Mo; Stephen Melsom; Bann Saffar; Mark Teh; Ramon Sheehan; Yijin Kuok; Renee Manser; Louis Irving; Daniel Steinfort; Mark McCusker; Diane Pascoe; Paul Fogarty; Emily Stone; David C L Lam; Ming-Yen Ng; Varut Vardhanabhuti; Christine D Berg; Rayjean J Hung; Samuel M Janes; Kwun Fong; Stephen Lam
Journal:  Lancet Oncol       Date:  2021-12-11       Impact factor: 41.316

2.  A modeling analysis to compare eligibility strategies for lung cancer screening in Brazil.

Authors:  Adalberto Miranda-Filho; Hadrien Charvat; Freddie Bray; Arn Migowski; Li C Cheung; Salvatore Vaccarella; Mattias Johansson; Andre L Carvalho; Hilary A Robbins
Journal:  EClinicalMedicine       Date:  2021-11-01

3.  Implementation of an Integrated Lung Cancer Prevention and Screening Program Using a Mobile Computed Tomography (CT) Unit in Brazil.

Authors:  Rodrigo Sampaio Chiarantano; Fabiana Lima Vazquez; Alexander Franco; Larissa Cristina Ferreira; Maraísa Cristina da Costa; Thais Talarico; Ângela Neves Oliveira; José Elias Miziara; Edmundo Carvalho Mauad; Eduardo Caetano da Silva; Luis Marcelo Ventura; Raphael Haikel Junior; Letícia Ferro Leal; Rui Manuel Reis
Journal:  Cancer Control       Date:  2022 Jan-Dec       Impact factor: 2.339

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