BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 23932058)

  • 1. Bayesian lead time estimation for the Johns Hopkins Lung Project data.
    Jang H; Kim S; Wu D
    J Epidemiol Glob Health; 2013 Sep; 3(3):157-63. PubMed ID: 23932058
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The lead time distribution when lifetime is subject to competing risks in cancer screening.
    Wu D; Kafadar K; Rosner GL; Broemeling LD
    Int J Biostat; 2012; 8(1):. PubMed ID: 22611589
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sojourn time and lead time projection in lung cancer screening.
    Wu D; Erwin D; Rosner GL
    Lung Cancer; 2011 Jun; 72(3):322-6. PubMed ID: 21075475
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Lung cancer screening results in the National Cancer Institute New York study.
    Melamed MR
    Cancer; 2000 Dec; 89(11 Suppl):2356-62. PubMed ID: 11147612
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of Lead Time via Low-Dose CT in the National Lung Screening Trial.
    Liu R; Pérez A; Wu D
    J Healthc Inform Res; 2018 Dec; 2(4):353-366. PubMed ID: 35415415
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Early lung cancer detection: results of the initial (prevalence) radiologic and cytologic screening in the Johns Hopkins study.
    Frost JK; Ball WC; Levin ML; Tockman MS; Baker RR; Carter D; Eggleston JC; Erozan YS; Gupta PK; Khouri NF
    Am Rev Respir Dis; 1984 Oct; 130(4):549-54. PubMed ID: 6091505
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Population impact of lung cancer screening in the United States: Projections from a microsimulation model.
    Criss SD; Sheehan DF; Palazzo L; Kong CY
    PLoS Med; 2018 Feb; 15(2):e1002506. PubMed ID: 29415013
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Long-Term Follow-up Results of the DANTE Trial, a Randomized Study of Lung Cancer Screening with Spiral Computed Tomography.
    Infante M; Cavuto S; Lutman FR; Passera E; Chiarenza M; Chiesa G; Brambilla G; Angeli E; Aranzulla G; Chiti A; Scorsetti M; Navarria P; Cavina R; Ciccarelli M; Roncalli M; Destro A; Bottoni E; Voulaz E; Errico V; Ferraroli G; Finocchiaro G; Toschi L; Santoro A; Alloisio M;
    Am J Respir Crit Care Med; 2015 May; 191(10):1166-75. PubMed ID: 25760561
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Chest X-ray screening improves outcome in lung cancer. A reappraisal of randomized trials on lung cancer screening.
    Strauss GM; Gleason RE; Sugarbaker DJ
    Chest; 1995 Jun; 107(6 Suppl):270S-279S. PubMed ID: 7781405
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Duration of lead time in screening for lung cancer.
    Benbassat J
    BMC Pulm Med; 2021 Jan; 21(1):4. PubMed ID: 33407288
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement.
    Moyer VA;
    Ann Intern Med; 2014 Mar; 160(5):330-8. PubMed ID: 24378917
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. '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]  

  • 14. Small median tumor diameter at cure threshold (<20 mm) among aggressive non-small cell lung cancers in male smokers predicts both chest X-ray and CT screening outcomes in a novel simulation framework.
    Goldwasser DL; Kimmel M
    Int J Cancer; 2013 Jan; 132(1):189-97. PubMed ID: 22510979
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The early diagnosis of lung cancer.
    Petty TL
    Dis Mon; 2001 Jun; 47(6):204-64. PubMed ID: 11473242
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Monte Carlo sensitivity analysis and Bayesian analysis of smoking as an unmeasured confounder in a study of silica and lung cancer.
    Steenland K; Greenland S
    Am J Epidemiol; 2004 Aug; 160(4):384-92. PubMed ID: 15286024
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Randomized controlled trials of the efficacy of lung cancer screening by sputum cytology revisited: a combined mortality analysis from the Johns Hopkins Lung Project and the Memorial Sloan-Kettering Lung Study.
    Doria-Rose VP; Marcus PM; Szabo E; Tockman MS; Melamed MR; Prorok PC
    Cancer; 2009 Nov; 115(21):5007-17. PubMed ID: 19637354
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical impact and cost-effectiveness of integrating smoking cessation into lung cancer screening: a microsimulation model.
    Evans WK; Gauvreau CL; Flanagan WM; Memon S; Yong JHE; Goffin JR; Fitzgerald NR; Wolfson M; Miller AB
    CMAJ Open; 2020; 8(3):E585-E592. PubMed ID: 32963023
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Economic impact of lung cancer screening in France: A modeling study].
    Gendarme S; Perrot É; Reskot F; Bhoowabul V; Fourre G; Souquet PJ; Milleron B; Couraud S
    Rev Mal Respir; 2017 Sep; 34(7):717-728. PubMed ID: 26585377
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.