325 related articles for article (PubMed ID: 29621354)
1. Identifying high-risk individuals for lung cancer screening: Going beyond NLST criteria.
Fu M; Travier N; Martín-Sánchez JC; Martínez-Sánchez JM; Vidal C; Garcia M;
PLoS One; 2018; 13(4):e0195441. PubMed ID: 29621354
[TBL] [Abstract][Full Text] [Related]
2. Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study.
Ten Haaf K; Jeon J; Tammemägi MC; Han SS; Kong CY; Plevritis SK; Feuer EJ; de Koning HJ; Steyerberg EW; Meza R
PLoS Med; 2017 Apr; 14(4):e1002277. PubMed ID: 28376113
[TBL] [Abstract][Full Text] [Related]
3. 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?
Pinsky PF; Berg CD
J Med Screen; 2012 Sep; 19(3):154-6. PubMed ID: 23060474
[TBL] [Abstract][Full Text] [Related]
4. Identifying high risk individuals for targeted lung cancer screening: Independent validation of the PLCO
Weber M; Yap S; Goldsbury D; Manners D; Tammemagi M; Marshall H; Brims F; McWilliams A; Fong K; Kang YJ; Caruana M; Banks E; Canfell K
Int J Cancer; 2017 Jul; 141(2):242-253. PubMed ID: 28249359
[TBL] [Abstract][Full Text] [Related]
5. Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study.
Tammemagi MC; Schmidt H; Martel S; McWilliams A; Goffin JR; Johnston MR; Nicholas G; Tremblay A; Bhatia R; Liu G; Soghrati K; Yasufuku K; Hwang DM; Laberge F; Gingras M; Pasian S; Couture C; Mayo JR; Nasute Fauerbach PV; Atkar-Khattra S; Peacock SJ; Cressman S; Ionescu D; English JC; Finley RJ; Yee J; Puksa S; Stewart L; Tsai S; Haider E; Boylan C; Cutz JC; Manos D; Xu Z; Goss GD; Seely JM; Amjadi K; Sekhon HS; Burrowes P; MacEachern P; Urbanski S; Sin DD; Tan WC; Leighl NB; Shepherd FA; Evans WK; Tsao MS; Lam S;
Lancet Oncol; 2017 Nov; 18(11):1523-1531. PubMed ID: 29055736
[TBL] [Abstract][Full Text] [Related]
6. Risk prediction models versus simplified selection criteria to determine eligibility for lung cancer screening: an analysis of German federal-wide survey and incidence data.
Hüsing A; Kaaks R
Eur J Epidemiol; 2020 Oct; 35(10):899-912. PubMed ID: 32594286
[TBL] [Abstract][Full Text] [Related]
7. Selecting High-Risk Individuals for Lung Cancer Screening: A Prospective Evaluation of Existing Risk Models and Eligibility Criteria in the German EPIC Cohort.
Li K; Hüsing A; Sookthai D; Bergmann M; Boeing H; Becker N; Kaaks R
Cancer Prev Res (Phila); 2015 Sep; 8(9):777-85. PubMed ID: 26076698
[TBL] [Abstract][Full Text] [Related]
8. Cost-Effectiveness Analysis of Lung Cancer Screening in the United States: A Comparative Modeling Study.
Criss SD; Cao P; Bastani M; Ten Haaf K; Chen Y; Sheehan DF; Blom EF; Toumazis I; Jeon J; de Koning HJ; Plevritis SK; Meza R; Kong CY
Ann Intern Med; 2019 Dec; 171(11):796-804. PubMed ID: 31683314
[TBL] [Abstract][Full Text] [Related]
9. 'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial.
Røe OD; Markaki M; Tsamardinos I; Lagani V; Nguyen OTD; Pedersen JH; Saghir Z; Ashraf HG
BMJ Open Respir Res; 2019; 6(1):e000512. PubMed ID: 31803478
[TBL] [Abstract][Full Text] [Related]
10. Adherence to general medical checkup and cancer screening guidelines according to self-reported smoking status: Korea National Health and Nutrition Examination Survey (KNHANES) 2010-2012.
Kim EY; Shim YS; Kim YS; Lee SP; Ko KD; Choi WJ
PLoS One; 2019; 14(10):e0224224. PubMed ID: 31639166
[TBL] [Abstract][Full Text] [Related]
11. Improving selection criteria for lung cancer screening. The potential role of emphysema.
Sanchez-Salcedo P; Wilson DO; de-Torres JP; Weissfeld JL; Berto J; Campo A; Alcaide AB; Pueyo J; Bastarrika G; Seijo LM; Pajares MJ; Pio R; Montuenga LM; Zulueta JJ
Am J Respir Crit Care Med; 2015 Apr; 191(8):924-31. PubMed ID: 25668622
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model.
Lu MT; Raghu VK; Mayrhofer T; Aerts HJWL; Hoffmann U
Ann Intern Med; 2020 Nov; 173(9):704-713. PubMed ID: 32866413
[TBL] [Abstract][Full Text] [Related]
13. OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations.
Pan Z; Zhang R; Shen S; Lin Y; Zhang L; Wang X; Ye Q; Wang X; Chen J; Zhao Y; Christiani DC; Li Y; Chen F; Wei Y
EBioMedicine; 2023 Feb; 88():104443. PubMed ID: 36701900
[TBL] [Abstract][Full Text] [Related]
14. 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.
Tammemägi MC; Ten Haaf K; Toumazis I; Kong CY; Han SS; Jeon J; Commins J; Riley T; Meza R
JAMA Netw Open; 2019 Mar; 2(3):e190204. PubMed ID: 30821827
[TBL] [Abstract][Full Text] [Related]
15. Analysis of lung cancer risk model (PLCO
Lebrett MB; Balata H; Evison M; Colligan D; Duerden R; Elton P; Greaves M; Howells J; Irion K; Karunaratne D; Lyons J; Mellor S; Myerscough A; Newton T; Sharman A; Smith E; Taylor B; Taylor S; Walsham A; Whittaker J; Barber PV; Tonge J; Robbins HA; Booton R; Crosbie PAJ
Thorax; 2020 Aug; 75(8):661-668. PubMed ID: 32631933
[TBL] [Abstract][Full Text] [Related]
16. Comorbidities, smoking status, and life expectancy among individuals eligible for lung cancer screening.
Howard DH; Richards TB; Bach PB; Kegler MC; Berg CJ
Cancer; 2015 Dec; 121(24):4341-7. PubMed ID: 26372542
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of Risk Models to Select Ever-Smokers for CT Lung Cancer Screening.
Katki HA; Kovalchik SA; Berg CD; Cheung LC; Chaturvedi AK
JAMA; 2016 Jun; 315(21):2300-11. PubMed ID: 27179989
[TBL] [Abstract][Full Text] [Related]
18. Application of risk prediction models to lung cancer screening: a review.
Tammemägi MC
J Thorac Imaging; 2015 Mar; 30(2):88-100. PubMed ID: 25692785
[TBL] [Abstract][Full Text] [Related]
19. Baseline characteristics of participants in the randomized national lung screening trial.
; Aberle DR; Adams AM; Berg CD; Clapp JD; Clingan KL; Gareen IF; Lynch DA; Marcus PM; Pinsky PF
J Natl Cancer Inst; 2010 Dec; 102(23):1771-9. PubMed ID: 21119104
[TBL] [Abstract][Full Text] [Related]
20. Implications of Nine Risk Prediction Models for Selecting Ever-Smokers for Computed Tomography Lung Cancer Screening.
Katki HA; Kovalchik SA; Petito LC; Cheung LC; Jacobs E; Jemal A; Berg CD; Chaturvedi AK
Ann Intern Med; 2018 Jul; 169(1):10-19. PubMed ID: 29800127
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
