BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

401 related articles for article (PubMed ID: 29571809)

  • 1. Vessel suppressed chest Computed Tomography for semi-automated volumetric measurements of solid pulmonary nodules.
    Milanese G; Eberhard M; Martini K; Vittoria De Martini I; Frauenfelder T
    Eur J Radiol; 2018 Apr; 101():97-102. PubMed ID: 29571809
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Pulmonary nodules: Assessing the imaging biomarkers of malignancy in a "coffee-break".
    Talwar A; Willaime JMY; Pickup LC; Enescu M; Boukerroui D; Hickes W; Rahman NM; Gooding MJ; Kadir T; Gleeson FV
    Eur J Radiol; 2018 Apr; 101():82-86. PubMed ID: 29571806
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving the prediction of lung adenocarcinoma invasive component on CT: Value of a vessel removal algorithm during software segmentation of subsolid nodules.
    Garzelli L; Goo JM; Ahn SY; Chae KJ; Park CM; Jung J; Hong H
    Eur J Radiol; 2018 Mar; 100():58-65. PubMed ID: 29496080
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Benefit of computer-aided detection analysis for the detection of subsolid and solid lung nodules on thin- and thick-section CT.
    Godoy MC; Kim TJ; White CS; Bogoni L; de Groot P; Florin C; Obuchowski N; Babb JS; Salganicoff M; Naidich DP; Anand V; Park S; Vlahos I; Ko JP
    AJR Am J Roentgenol; 2013 Jan; 200(1):74-83. PubMed ID: 23255744
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Cause determination of missed lung nodules and impact of reader training and education: Simulation study with nodule insertion software.
    Digumarthy SR; Gullo RL; Levesque MH; Sayegh K; Rao S; Raymond SB; Otrakji A; Kalra MK
    J Cancer Res Ther; 2020; 16(4):780-787. PubMed ID: 32930118
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Linear and volume measurements of pulmonary nodules at different CT dose levels - intrascan and interscan analysis.
    Hein PA; Romano VC; Rogalla P; Klessen C; Lembcke A; Dicken V; Bornemann L; Bauknecht HC
    Rofo; 2009 Jan; 181(1):24-31. PubMed ID: 19085687
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effect of late-phase contrast enhancement on semi-automatic software measurements of CT attenuation and volume of part-solid nodules in lung adenocarcinomas.
    Cohen JG; Goo JM; Yoo RE; Park SB; van Ginneken B; Ferretti GR; Lee CH; Park CM
    Eur J Radiol; 2016 Jun; 85(6):1174-80. PubMed ID: 27161068
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13mSv.
    Messerli M; Kluckert T; Knitel M; Rengier F; Warschkow R; Alkadhi H; Leschka S; Wildermuth S; Bauer RW
    Eur J Radiol; 2016 Dec; 85(12):2217-2224. PubMed ID: 27842670
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computed tomography quantitative analysis of components: a new method monitoring the growth of pulmonary nodule.
    Linning E; Wu S; Wang K; Meng H; Sun D; Wu Z
    Acta Radiol; 2013 Oct; 54(8):904-8. PubMed ID: 23761548
    [TBL] [Abstract][Full Text] [Related]  

  • 14. In vivo repeatability of automated volume calculations of small pulmonary nodules with CT.
    Rampinelli C; De Fiori E; Raimondi S; Veronesi G; Bellomi M
    AJR Am J Roentgenol; 2009 Jun; 192(6):1657-61. PubMed ID: 19457831
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interobserver and intraobserver variability in the assessment of pulmonary nodule size on CT using film and computer display methods.
    Bogot NR; Kazerooni EA; Kelly AM; Quint LE; Desjardins B; Nan B
    Acad Radiol; 2005 Aug; 12(8):948-56. PubMed ID: 16087090
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules.
    Cohen JG; Kim H; Park SB; van Ginneken B; Ferretti GR; Lee CH; Goo JM; Park CM
    Eur Radiol; 2017 Aug; 27(8):3266-3274. PubMed ID: 28058482
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Volumetric measurement pulmonary ground-glass opacity nodules with multi-detector CT: effect of various tube current on measurement accuracy--a chest CT phantom study.
    Linning E; Daqing M
    Acad Radiol; 2009 Aug; 16(8):934-9. PubMed ID: 19409818
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prospective Pilot Evaluation of Radiologists and Computer-aided Pulmonary Nodule Detection on Ultra-low-Dose CT With Tin Filtration.
    Takahashi EA; Koo CW; White DB; Lindell RM; Sykes AG; Levin DL; Kuzo RS; Wolf M; Bogoni L; Carter RE; McCollough CH; Fletcher JG
    J Thorac Imaging; 2018 Nov; 33(6):396-401. PubMed ID: 30048344
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved Interobserver Agreement on Lung-RADS Classification of Solid Nodules Using Semiautomated CT Volumetry.
    Gierada DS; Rydzak CE; Zei M; Rhea L
    Radiology; 2020 Dec; 297(3):675-684. PubMed ID: 32930652
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.
    Petrou M; Quint LE; Nan B; Baker LH
    AJR Am J Roentgenol; 2007 Feb; 188(2):306-12. PubMed ID: 17242235
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.