Scientific Concept of the National Cohort (status ... - Nationale Kohorte
Scientific Concept of the National Cohort (status ... - Nationale Kohorte
Scientific Concept of the National Cohort (status ... - Nationale Kohorte
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References<br />
708. Wilson, G.J. and J.H. Maki, Non-contrast-enhanced MR imaging <strong>of</strong> renal artery<br />
stenosis at 1.5 tesla. Magn Reson Imaging Clin N Am, 2009. 17(1): p. 13-27.<br />
709. Smith, E.E., et al., MRI markers <strong>of</strong> small vessel disease in lobar and deep<br />
hemispheric intracerebral hemorrhage. Stroke, 2010. 41(9): p. 1933-8.<br />
710. Polak, J.F., et al., Right ventricular ejection fraction: an indicator <strong>of</strong> increased<br />
mortality in patients with congestive heart failure associated with coronary artery<br />
disease. J Am Coll Cardiol, 1983. 2(2): p. 217-24.<br />
711. Gloger, O., et al., A fully automatic three-step liver segmentation method on LDAbased<br />
probability maps for multiple contrast MR images. Magn Reson Imaging,<br />
2010. 28(6): p. 882-97.<br />
712. Huang, B.Y. and M. Castillo, Neurovascular imaging at 1.5 tesla versus 3.0 tesla.<br />
Magn Reson Imaging Clin N Am, 2009. 17(1): p. 29-46.<br />
713. Huppertz, H.J., et al., Intra- and interscanner variability <strong>of</strong> automated voxel-based<br />
volumetry based on a 3D probabilistic atlas <strong>of</strong> human cerebral structures.<br />
Neuroimage. 49(3): p. 2216-24.<br />
714. Kruggel, F., J. Turner, and L.T. Muftuler, Impact <strong>of</strong> scanner hardware and<br />
imaging protocol on image quality and compartment volume precision in <strong>the</strong> ADNI<br />
cohort. Neuroimage. 49(3): p. 2123-33.<br />
715. Saam, T., et al., Reader and platform reproducibility for quantitative assessment <strong>of</strong><br />
carotid a<strong>the</strong>rosclerotic plaque using 1.5T Siemens, Philips, and General Electric<br />
scanners. J Magn Reson Imaging, 2007. 26(2): p. 344-52.<br />
716. Theisen, D., et al., Myocardial perfusion imaging with Gadobutrol: a comparison<br />
between 3 and 1.5 Tesla with an identical sequence design. Invest Radiol, 2007.<br />
42(7): p. 499-506.<br />
717. Decramer, S., et al., Urine in clinical proteomics. Molecular & Cellular Proteomics,<br />
2008. 7(10): p. 1850.<br />
718. Thongboonkerd, V., Urinary proteomics: towards biomarker discovery,<br />
diagnostics and prognostics. Molecular BioSystems, 2008. 4(8): p. 810-815.<br />
719. Ward, D.G., et al., Proteomic pr<strong>of</strong>iling <strong>of</strong> urine for <strong>the</strong> detection <strong>of</strong> colon cancer.<br />
Proteome Science, 2008. 6(1): p. 19.<br />
720. Zürbig, P., et al., A low molecular weight urinary proteome pr<strong>of</strong>ile <strong>of</strong> human<br />
kidney aging. Proteomics, 2009. 9(8): p. 2108.<br />
721. Goodson, J.M., et al., Is obesity an oral bacterial disease? Journal <strong>of</strong> dental<br />
research, 2009. 88(6): p. 519.<br />
722. Carvalho, A.L., et al., Evaluation <strong>of</strong> promoter hypermethylation detection in body<br />
fluids as a screening/diagnosis tool for head and neck squamous cell carcinoma.<br />
Clinical Cancer Research, 2008. 14(1): p. 97.<br />
723. Hu, S., et al., Salivary proteomics for oral cancer biomarker discovery. Clinical<br />
Cancer Research, 2008. 14(19): p. 6246.<br />
724. Hu, S., et al., Salivary proteomic and genomic biomarkers for primary Sjögren's<br />
syndrome. Arthritis & Rheumatism, 2007. 56(11): p. 3588-3600.<br />
725. John, M.S., et al., IL-6 and IL-8: potential biomarkers for oral cavity and<br />
oropharyngeal SCCA. Otolaryngology-Head and Neck Surgery, 2004. 131(2): p.<br />
P112-P113.<br />
726. Li, Y., et al., Salivary transcriptome diagnostics for oral cancer detection. Clinical<br />
Cancer Research, 2004. 10(24): p. 8442.<br />
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