BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 24119348)

  • 1. Minimum detectable change in lung nodule volume in a phantom CT study.
    Gavrielides MA; Li Q; Zeng R; Myers KJ; Sahiner B; Petrick N
    Acad Radiol; 2013 Nov; 20(11):1364-70. PubMed ID: 24119348
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Discrimination of Pulmonary Nodule Volume Change for Low- and High-contrast Tasks in a Phantom CT Study with Low-dose Protocols.
    Gavrielides MA; Li Q; Zeng R; Berman BP; Sahiner B; Gong Q; Myers KJ; DeFilippo G; Petrick N
    Acad Radiol; 2019 Jul; 26(7):937-948. PubMed ID: 30292564
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volume.
    Gavrielides MA; Zeng R; Myers KJ; Sahiner B; Petrick N
    Acad Radiol; 2013 Feb; 20(2):173-80. PubMed ID: 23085408
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT.
    Robins M; Solomon J; Sahbaee P; Sedlmair M; Roy Choudhury K; Pezeshk A; Sahiner B; Samei E
    Phys Med Biol; 2017 Aug; 62(18):7280-7299. PubMed ID: 28786399
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners.
    Goodsitt MM; Chan HP; Way TW; Larson SC; Christodoulou EG; Kim J
    Med Phys; 2006 Aug; 33(8):3006-17. PubMed ID: 16964879
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters.
    Willemink MJ; Leiner T; Budde RP; de Kort FP; Vliegenthart R; van Ooijen PM; Oudkerk M; de Jong PA
    AJR Am J Roentgenol; 2012 Dec; 199(6):1241-6. PubMed ID: 23169714
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated volumetry of solid pulmonary nodules in a phantom: accuracy across different CT scanner technologies.
    Das M; Mühlenbruch G; Katoh M; Bakai A; Salganicoff M; Stanzel S; Mahnken AH; Günther RW; Wildberger JE
    Invest Radiol; 2007 May; 42(5):297-302. PubMed ID: 17414525
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom images.
    Petrick N; Kim HJ; Clunie D; Borradaile K; Ford R; Zeng R; Gavrielides MA; McNitt-Gray MF; Lu ZQ; Fenimore C; Zhao B; Buckler AJ
    Acad Radiol; 2014 Jan; 21(1):30-40. PubMed ID: 24331262
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical analysis of lung nodule volume measurements with CT in a large-scale phantom study.
    Li Q; Gavrielides MA; Sahiner B; Myers KJ; Zeng R; Petrick N
    Med Phys; 2015 Jul; 42(7):3932-47. PubMed ID: 26133594
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of flat-panel-detector-based CT and multidetector-row CT in automated volumetry of pulmonary nodules using an anthropomorphic chest phantom.
    Marten K; Dullin C; Machann W; Schmid JS; DAS M; Hermann KP; Engelke C
    Br J Radiol; 2009 Aug; 82(981):716-23. PubMed ID: 19332516
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Lung nodule detection by microdose CT versus chest radiography (standard and dual-energy subtracted).
    Ebner L; Bütikofer Y; Ott D; Huber A; Landau J; Roos JE; Heverhagen JT; Christe A
    AJR Am J Roentgenol; 2015 Apr; 204(4):727-35. PubMed ID: 25794062
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Volumetric analysis of lung nodules in computed tomography (CT): comparison of two different segmentation algorithm softwares and two different reconstruction filters on automated volume calculation.
    Christe A; Brönnimann A; Vock P
    Acta Radiol; 2014 Feb; 55(1):54-61. PubMed ID: 23864063
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Pulmonary nodule volume: effects of reconstruction parameters on automated measurements--a phantom study.
    Ravenel JG; Leue WM; Nietert PJ; Miller JV; Taylor KK; Silvestri GA
    Radiology; 2008 May; 247(2):400-8. PubMed ID: 18430874
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inter- and intrascanner variability of pulmonary nodule volumetry on low-dose 64-row CT: an anthropomorphic phantom study.
    Xie X; Willemink MJ; Zhao Y; de Jong PA; van Ooijen PM; Oudkerk M; Greuter MJ; Vliegenthart R
    Br J Radiol; 2013 Sep; 86(1029):20130160. PubMed ID: 23884758
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT volumetry of artificial pulmonary nodules using an ex vivo lung phantom: influence of exposure parameters and iterative reconstruction on reproducibility.
    Wielpütz MO; Lederlin M; Wroblewski J; Dinkel J; Eichinger M; Biederer J; Kauczor HU; Puderbach M
    Eur J Radiol; 2013 Sep; 82(9):1577-83. PubMed ID: 23727376
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Volumetric measurement of synthetic lung nodules with multi-detector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy.
    Goo JM; Tongdee T; Tongdee R; Yeo K; Hildebolt CF; Bae KT
    Radiology; 2005 Jun; 235(3):850-6. PubMed ID: 15914478
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping.
    Gordic S; Morsbach F; Schmidt B; Allmendinger T; Flohr T; Husarik D; Baumueller S; Raupach R; Stolzmann P; Leschka S; Frauenfelder T; Alkadhi H
    Invest Radiol; 2014 Jul; 49(7):465-73. PubMed ID: 24598443
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Information-theoretic approach for analyzing bias and variance in lung nodule size estimation with CT: a phantom study.
    Gavrielides MA; Zeng R; Kinnard LM; Myers KJ; Petrick N
    IEEE Trans Med Imaging; 2010 Oct; 29(10):1795-807. PubMed ID: 20562039
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.