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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1957 1
1977 1
1979 1
1994 1
1995 1
2001 1
2002 3
2003 3
2004 4
2005 7
2006 7
2007 5
2008 9
2009 7
2010 10
2011 2
2012 2
2013 4
2014 1
2015 2
2016 2
2019 1
2020 2
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Similar Articles for PMID: 20947645

70 results
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Diffusion tensor MR imaging of cerebral gliomas: evaluating fractional anisotropy characteristics.
White ML, Zhang Y, Yu F, Jaffar Kazmi SA. White ML, et al. AJNR Am J Neuroradiol. 2011 Feb;32(2):374-81. doi: 10.3174/ajnr.A2267. Epub 2010 Oct 14. AJNR Am J Neuroradiol. 2011. PMID: 20947645 Free article.
Diffusion-tensor imaging for glioma grading at 3-T magnetic resonance imaging: analysis of fractional anisotropy and mean diffusivity.
Lee HY, Na DG, Song IC, Lee DH, Seo HS, Kim JH, Chang KH. Lee HY, et al. J Comput Assist Tomogr. 2008 Mar-Apr;32(2):298-303. doi: 10.1097/RCT.0b013e318076b44d. J Comput Assist Tomogr. 2008. PMID: 18379322
[Application of diffusion tensor imaging in preoperation and postoperation patients of glioma with 3.0 Tesla MRI].
Li X, Yu RT, Xu K, Li FC, Fan YC, Gao WC, Guo KQ, Pan X, Yang C. Li X, et al. Zhonghua Yi Xue Za Zhi. 2009 May 19;89(19):1300-4. Zhonghua Yi Xue Za Zhi. 2009. PMID: 19615179 Chinese.
Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas.
Inoue T, Ogasawara K, Beppu T, Ogawa A, Kabasawa H. Inoue T, et al. Clin Neurol Neurosurg. 2005 Apr;107(3):174-80. doi: 10.1016/j.clineuro.2004.06.011. Clin Neurol Neurosurg. 2005. PMID: 15823671
Differences in the architecture of low-grade and high-grade gliomas evaluated using fiber density index and fractional anisotropy.
Chen Y, Shi Y, Song Z. Chen Y, et al. J Clin Neurosci. 2010 Jul;17(7):824-9. doi: 10.1016/j.jocn.2009.11.022. Epub 2010 Apr 27. J Clin Neurosci. 2010. PMID: 20427187
Diffusion tensor imaging provides an insight into the microstructure of meningiomas, high-grade gliomas, and peritumoral edema.
De Belder FE, Oot AR, Van Hecke W, Venstermans C, Menovsky T, Van Marck V, Van Goethem J, Van den Hauwe L, Vandekerckhove M, Parizel PM. De Belder FE, et al. J Comput Assist Tomogr. 2012 Sep-Oct;36(5):577-82. doi: 10.1097/RCT.0b013e318261e913. J Comput Assist Tomogr. 2012. PMID: 22992609
Low-grade and anaplastic gliomas: differences in architecture evaluated with diffusion-tensor MR imaging.
Goebell E, Paustenbach S, Vaeterlein O, Ding XQ, Heese O, Fiehler J, Kucinski T, Hagel C, Westphal M, Zeumer H. Goebell E, et al. Radiology. 2006 Apr;239(1):217-22. doi: 10.1148/radiol.2383050059. Epub 2006 Feb 16. Radiology. 2006. PMID: 16484348
Differentiation between low-grade and high-grade glioma using combined diffusion tensor imaging metrics.
Ma L, Song ZJ. Ma L, et al. Clin Neurol Neurosurg. 2013 Dec;115(12):2489-95. doi: 10.1016/j.clineuro.2013.10.003. Epub 2013 Oct 16. Clin Neurol Neurosurg. 2013. PMID: 24183513
Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging.
Gauvain KM, McKinstry RC, Mukherjee P, Perry A, Neil JJ, Kaufman BA, Hayashi RJ. Gauvain KM, et al. AJR Am J Roentgenol. 2001 Aug;177(2):449-54. doi: 10.2214/ajr.177.2.1770449. AJR Am J Roentgenol. 2001. PMID: 11461881
Disarrangement of fiber tracts and decline of neuronal density correlate in glioma patients--a combined diffusion tensor imaging and 1H-MR spectroscopy study.
Goebell E, Fiehler J, Ding XQ, Paustenbach S, Nietz S, Heese O, Kucinski T, Hagel C, Westphal M, Zeumer H. Goebell E, et al. AJNR Am J Neuroradiol. 2006 Aug;27(7):1426-31. AJNR Am J Neuroradiol. 2006. PMID: 16908551 Free article.
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