BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

651 related articles for article (PubMed ID: 30368011)

  • 1. Predicting Malignancy Risk of Screen-Detected Lung Nodules-Mean Diameter or Volume.
    Tammemagi M; Ritchie AJ; Atkar-Khattra S; Dougherty B; Sanghera C; Mayo JR; Yuan R; Manos D; McWilliams AM; Schmidt H; Gingras M; Pasian S; Stewart L; Tsai S; Seely JM; Burrowes P; Bhatia R; Haider EA; Boylan C; Jacobs C; van Ginneken B; Tsao MS; Lam S;
    J Thorac Oncol; 2019 Feb; 14(2):203-211. PubMed ID: 30368011
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines.
    van Riel SJ; Ciompi F; Jacobs C; Winkler Wille MM; Scholten ET; Naqibullah M; Lam S; Prokop M; Schaefer-Prokop C; van Ginneken B
    Eur Radiol; 2017 Oct; 27(10):4019-4029. PubMed ID: 28293773
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.
    González Maldonado S; Delorme S; Hüsing A; Motsch E; Kauczor HU; Heussel CP; Kaaks R
    JAMA Netw Open; 2020 Feb; 3(2):e1921221. PubMed ID: 32058555
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Disagreement of diameter and volume measurements for pulmonary nodule size estimation in CT lung cancer screening.
    Heuvelmans MA; Walter JE; Vliegenthart R; van Ooijen PMA; De Bock GH; de Koning HJ; Oudkerk M
    Thorax; 2018 Aug; 73(8):779-781. PubMed ID: 29056601
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Probability of cancer in pulmonary nodules detected on first screening CT.
    McWilliams A; Tammemagi MC; Mayo JR; Roberts H; Liu G; Soghrati K; Yasufuku K; Martel S; Laberge F; Gingras M; Atkar-Khattra S; Berg CD; Evans K; Finley R; Yee J; English J; Nasute P; Goffin J; Puksa S; Stewart L; Tsai S; Johnston MR; Manos D; Nicholas G; Goss GD; Seely JM; Amjadi K; Tremblay A; Burrowes P; MacEachern P; Bhatia R; Tsao MS; Lam S
    N Engl J Med; 2013 Sep; 369(10):910-9. PubMed ID: 24004118
    [TBL] [Abstract][Full Text] [Related]  

  • 6. External validation and recalibration of the Brock model to predict probability of cancer in pulmonary nodules using NLST data.
    Winter A; Aberle DR; Hsu W
    Thorax; 2019 Jun; 74(6):551-563. PubMed ID: 30898897
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Probability of cancer in lung nodules using sequential volumetric screening up to 12 months: the UKLS trial.
    Marcus MW; Duffy SW; Devaraj A; Green BA; Oudkerk M; Baldwin D; Field J
    Thorax; 2019 Aug; 74(8):761-767. PubMed ID: 31028232
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of three software systems for semi-automatic volumetry of pulmonary nodules on baseline and follow-up CT examinations.
    Zhao YR; van Ooijen PM; Dorrius MD; Heuvelmans M; de Bock GH; Vliegenthart R; Oudkerk M
    Acta Radiol; 2014 Jul; 55(6):691-8. PubMed ID: 24132766
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Characteristics of new solid nodules detected in incidence screening rounds of low-dose CT lung cancer screening: the NELSON study.
    Walter JE; Heuvelmans MA; Bock GH; Yousaf-Khan U; Groen HJM; Aalst CMV; Nackaerts K; Ooijen PMAV; Koning HJ; Vliegenthart R; Oudkerk M
    Thorax; 2018 Aug; 73(8):741-747. PubMed ID: 29661918
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.
    Venkadesh KV; Setio AAA; Schreuder A; Scholten ET; Chung K; W Wille MM; Saghir Z; van Ginneken B; Prokop M; Jacobs C
    Radiology; 2021 Aug; 300(2):438-447. PubMed ID: 34003056
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Projected outcomes using different nodule sizes to define a positive CT lung cancer screening examination.
    Gierada DS; Pinsky P; Nath H; Chiles C; Duan F; Aberle DR
    J Natl Cancer Inst; 2014 Nov; 106(11):. PubMed ID: 25326638
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Relationship between nodule count and lung cancer probability in baseline CT lung cancer screening: The NELSON study.
    Heuvelmans MA; Walter JE; Peters RB; Bock GH; Yousaf-Khan U; Aalst CMV; Groen HJM; Nackaerts K; Ooijen PMV; Koning HJ; Oudkerk M; Vliegenthart R
    Lung Cancer; 2017 Nov; 113():45-50. PubMed ID: 29110848
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computer-aided diagnosis (CAD) of subsolid nodules: Evaluation of a commercial CAD system.
    Benzakoun J; Bommart S; Coste J; Chassagnon G; Lederlin M; Boussouar S; Revel MP
    Eur J Radiol; 2016 Oct; 85(10):1728-1734. PubMed ID: 27666609
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cancer Risk in Subsolid Nodules in the National Lung Screening Trial.
    Hammer MM; Palazzo LL; Kong CY; Hunsaker AR
    Radiology; 2019 Nov; 293(2):441-448. PubMed ID: 31526256
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules.
    Chung K; Jacobs C; Scholten ET; Mets OM; Dekker I; Prokop M; van Ginneken B; Schaefer-Prokop CM
    Eur Radiol; 2017 Nov; 27(11):4672-4679. PubMed ID: 28439653
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening.
    Horeweg N; van Rosmalen J; Heuvelmans MA; van der Aalst CM; Vliegenthart R; Scholten ET; ten Haaf K; Nackaerts K; Lammers JW; Weenink C; Groen HJ; van Ooijen P; de Jong PA; de Bock GH; Mali W; de Koning HJ; Oudkerk M
    Lancet Oncol; 2014 Nov; 15(12):1332-41. PubMed ID: 25282285
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Influence of lung nodule margin on volume- and diameter-based reader variability in CT lung cancer screening.
    Han D; Heuvelmans MA; Vliegenthart R; Rook M; Dorrius MD; de Jonge GJ; Walter JE; van Ooijen PMA; de Koning HJ; Oudkerk M
    Br J Radiol; 2018 Oct; 91(1090):20170405. PubMed ID: 28972803
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis.
    Silva M; Schaefer-Prokop CM; Jacobs C; Capretti G; Ciompi F; van Ginneken B; Pastorino U; Sverzellati N
    Invest Radiol; 2018 Aug; 53(8):441-449. PubMed ID: 29543693
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Occurrence and lung cancer probability of new solid nodules at incidence screening with low-dose CT: analysis of data from the randomised, controlled NELSON trial.
    Walter JE; Heuvelmans MA; de Jong PA; Vliegenthart R; van Ooijen PMA; Peters RB; Ten Haaf K; Yousaf-Khan U; van der Aalst CM; de Bock GH; Mali W; Groen HJM; de Koning HJ; Oudkerk M
    Lancet Oncol; 2016 Jul; 17(7):907-916. PubMed ID: 27283862
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.