These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
233 related articles for article (PubMed ID: 37788223)
1. Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study. Callender T; Imrie F; Cebere B; Pashayan N; Navani N; van der Schaar M; Janes SM PLoS Med; 2023 Oct; 20(10):e1004287. PubMed ID: 37788223 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. Evaluation of the lung cancer risks at which to screen ever- and never-smokers: screening rules applied to the PLCO and NLST cohorts. Tammemägi MC; Church TR; Hocking WG; Silvestri GA; Kvale PA; Riley TL; Commins J; Berg CD PLoS Med; 2014 Dec; 11(12):e1001764. PubMed ID: 25460915 [TBL] [Abstract][Full Text] [Related]
8. Lung cancer risk prediction: Prostate, Lung, Colorectal And Ovarian Cancer Screening Trial models and validation. Tammemagi CM; Pinsky PF; Caporaso NE; Kvale PA; Hocking WG; Church TR; Riley TL; Commins J; Oken MM; Berg CD; Prorok PC J Natl Cancer Inst; 2011 Jul; 103(13):1058-68. PubMed ID: 21606442 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Deep Learning to Assess Long-term Mortality From Chest Radiographs. Lu MT; Ivanov A; Mayrhofer T; Hosny A; Aerts HJWL; Hoffmann U JAMA Netw Open; 2019 Jul; 2(7):e197416. PubMed ID: 31322692 [TBL] [Abstract][Full Text] [Related]
12. Comparative analysis of 5 lung cancer natural history and screening models that reproduce outcomes of the NLST and PLCO trials. Meza R; ten Haaf K; Kong CY; Erdogan A; Black WC; Tammemagi MC; Choi SE; Jeon J; Han SS; Munshi V; van Rosmalen J; Pinsky P; McMahon PM; de Koning HJ; Feuer EJ; Hazelton WD; Plevritis SK Cancer; 2014 Jun; 120(11):1713-24. PubMed ID: 24577803 [TBL] [Abstract][Full Text] [Related]
13. Evaluation of risk prediction models to select lung cancer screening participants in Europe: a prospective cohort consortium analysis. Feng X; Goodley P; Alcala K; Guida F; Kaaks R; Vermeulen R; Downward GS; Bonet C; Colorado-Yohar SM; Albanes D; Weinstein SJ; Goldberg M; Zins M; Relton C; Langhammer A; Skogholt AH; Johansson M; Robbins HA Lancet Digit Health; 2024 Sep; 6(9):e614-e624. PubMed ID: 39179310 [TBL] [Abstract][Full Text] [Related]
14. Development and Validation of a Risk Prediction Model for Second Primary Lung Cancer. Choi E; Sanyal N; Ding VY; Gardner RM; Aredo JV; Lee J; Wu JT; Hickey TP; Barrett B; Riley TL; Wilkens LR; Leung AN; Le Marchand L; Tammemägi MC; Hung RJ; Amos CI; Freedman ND; Cheng I; Wakelee HA; Han SS J Natl Cancer Inst; 2022 Jan; 114(1):87-96. PubMed ID: 34255071 [TBL] [Abstract][Full Text] [Related]
15. 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]
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. Absolute lung cancer risk increases among individuals with >15 quit-years: Analyses to inform the update of the American Cancer Society lung cancer screening guidelines. Landy R; Cheung LC; Young CD; Chaturvedi AK; Katki HA Cancer; 2024 Jan; 130(2):201-215. PubMed ID: 37909885 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Renal-cell carcinoma risk estimates based on participants in the prostate, lung, colorectal, and ovarian cancer screening trial and national lung screening trial. Lotan Y; Karam JA; Shariat SF; Gupta A; Roupret M; Bensalah K; Margulis V Urol Oncol; 2016 Apr; 34(4):167.e9-16. PubMed ID: 26602092 [TBL] [Abstract][Full Text] [Related]