397 related articles for article (PubMed ID: 29800127)
1. 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]
2. Life-Gained-Based Versus Risk-Based Selection of Smokers for Lung Cancer Screening.
Cheung LC; Berg CD; Castle PE; Katki HA; Chaturvedi AK
Ann Intern Med; 2019 Nov; 171(9):623-632. PubMed ID: 31634914
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Comparative performance of lung cancer risk models to define lung screening eligibility in the United Kingdom.
Robbins HA; Alcala K; Swerdlow AJ; Schoemaker MJ; Wareham N; Travis RC; Crosbie PAJ; Callister M; Baldwin DR; Landy R; Johansson M
Br J Cancer; 2021 Jun; 124(12):2026-2034. PubMed ID: 33846525
[TBL] [Abstract][Full Text] [Related]
5. Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models.
Liao W; Coupland CAC; Burchardt J; Baldwin DR; ; Gleeson FV; Hippisley-Cox J
Lancet Respir Med; 2023 Aug; 11(8):685-697. PubMed ID: 37030308
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies.
Ten Haaf K; Bastani M; Cao P; Jeon J; Toumazis I; Han SS; Plevritis SK; Blom EF; Kong CY; Tammemägi MC; Feuer EJ; Meza R; de Koning HJ
J Natl Cancer Inst; 2020 May; 112(5):466-479. PubMed ID: 31566216
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. A simple model for predicting lung cancer occurrence in a lung cancer screening program: The Pittsburgh Predictor.
Wilson DO; Weissfeld J
Lung Cancer; 2015 Jul; 89(1):31-7. PubMed ID: 25863905
[TBL] [Abstract][Full Text] [Related]
13. Comparison of discrimination performance of 11 lung cancer risk models for predicting lung cancer in a prospective cohort of screening-age adults from Germany followed over 17 years.
Bhardwaj M; Schöttker B; Holleczek B; Brenner H
Lung Cancer; 2022 Dec; 174():83-90. PubMed ID: 36356492
[TBL] [Abstract][Full Text] [Related]
14. Assessing Different Approaches to Leveraging Historical Smoking Exposure Data to Better Select Lung Cancer Screening Candidates: A Retrospective Validation Study.
Kats DJ; Adie Y; Tlimat A; Greco PJ; Kaelber DC; Tarabichi Y
Nicotine Tob Res; 2021 Aug; 23(8):1334-1340. PubMed ID: 32974635
[TBL] [Abstract][Full Text] [Related]
15. Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer: a case-control and cohort validation study.
Raji OY; Duffy SW; Agbaje OF; Baker SG; Christiani DC; Cassidy A; Field JK
Ann Intern Med; 2012 Aug; 157(4):242-50. PubMed ID: 22910935
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Evaluation of the accuracy of the PLCO
Jantzen R; Ezer N; Camilleri-Broët S; Tammemägi MC; Broët P
CMAJ Open; 2023; 11(2):E314-E322. PubMed ID: 37041013
[TBL] [Abstract][Full Text] [Related]
19. Benefits and harms of computed tomography lung cancer screening strategies: a comparative modeling study for the U.S. Preventive Services Task Force.
de Koning HJ; Meza R; Plevritis SK; ten Haaf K; Munshi VN; Jeon J; Erdogan SA; Kong CY; Han SS; van Rosmalen J; Choi SE; Pinsky PF; Berrington de Gonzalez A; Berg CD; Black WC; Tammemägi MC; Hazelton WD; Feuer EJ; McMahon PM
Ann Intern Med; 2014 Mar; 160(5):311-20. PubMed ID: 24379002
[TBL] [Abstract][Full Text] [Related]
20. USPSTF2013 versus PLCOm2012 lung cancer screening eligibility criteria (International Lung Screening Trial): interim analysis of a prospective cohort study.
Tammemägi MC; Ruparel M; Tremblay A; Myers R; Mayo J; Yee J; Atkar-Khattra S; Yuan R; Cressman S; English J; Bedard E; MacEachern P; Burrowes P; Quaife SL; Marshall H; Yang I; Bowman R; Passmore L; McWilliams A; Brims F; Lim KP; Mo L; Melsom S; Saffar B; Teh M; Sheehan R; Kuok Y; Manser R; Irving L; Steinfort D; McCusker M; Pascoe D; Fogarty P; Stone E; Lam DCL; Ng MY; Vardhanabhuti V; Berg CD; Hung RJ; Janes SM; Fong K; Lam S
Lancet Oncol; 2022 Jan; 23(1):138-148. PubMed ID: 34902336
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
