Quantitative analysis of glioma cell invasion by diffusion tensor imaging

Journal of Clinical Neuroscience

Volumn 17, Issue 12, 2010, Pages 1530-1536

  Deng, Zhaoxia ^a   Yan, Yi ^a   Zhong, Dong ^a   Yang, Gang ^a   Tang, Wenyuan ^a   Lü, Fajin ^b   Xie, Bing ^a   Liu, Bin ^a  

^a CHONGQING MEDICAL UNIVERSITY   (China)

^b University of Chinese PLA   (China)

Author keywords

Diffusion tensor imaging; Glioma; Invasion; Nuclear magnetic resonance; Quantification

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN; CANCER INVASION; CELL COUNT; CELL DENSITY; CELL INVASION; CLINICAL ARTICLE; CONTROLLED STUDY; DECOMPRESSION SURGERY; DIFFUSION COEFFICIENT; DIFFUSION TENSOR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; GLIOMA; GLIOMA CELL; HUMAN; MALE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; WHITE MATTER;

ADULT; AGED; ANISOTROPY; BRAIN NEOPLASMS; DIFFUSION TENSOR IMAGING; FEMALE; GLIOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; NEOPLASM INVASIVENESS; YOUNG ADULT;

EID: 78049468982     PISSN: 09675868     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocn.2010.03.060     Document Type: Article

References (14)

1. L.C. Cruz Junior, and A.G. Sorensen Diffusion tensor magnetic resonance imaging of brain tumors Neurosurg Clin N Am 16 2005 115 134
2. G.N. Fuller, and B.W. Scheithauer The 2007 revised World Health Organization (WHO) classification of tumours of the central nervous system: newly codified entities Brain Pathol 17 2007 304 307
3. Jiang H. Diffusion Tensor Imaging Technology, DTI Processing/Analysis Software[EB/OL]. < http://lbam.med.jhmi.edu/ >; 2005 [accessed 10.06.05].
4. S. Lu, D. Ahn, and G. Johnson Peritumoral diffusion tensor imaging of high grade gliomas and metastatic brain tumors AJNR Am J Neuroradiol 24 2003 937 941
5. O. Clatz, M. Sermesant, and P.Y. Bondiau Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation IEEE Trans Med Imaging 24 2005 1334 1346
6. A. Albini, Y. Iwamoto, and H.K. Kleinman A rapid in vitro assay for quantitating the invasive potential of tumor cells Cancer Res 47 1987 3239 3245
7. M.R. Chicoine, and D.L. Silbergeld Assessment of brain tumor cell motŞişl.ty in vivo and in vitro J Neurosurg 82 1995 615 622
8. J. Kurebayashi, S.W. McLeskey, and M.D. Johnson Quantitative demonstration of spontaneous metastasis by MCF-7 human breast cancer cells cotransfected with fibroblast growth factor 4 and lac-Z Cancer Res 53 1993 2178 2187
9. A. Perry, J.E. Parisi, and P.J. Kurtin Metastatic adenocarcinoma to the brain: an immunohistochemical approach Hum Pathol 28 1997 938 943
10. P.J. Basser, S. Pajevic, and C. Pierpaoli In vivo fiber tractography using DT-MRI data Magn Reson Med 44 2000 625 632
11. K. Morita, H. Matsuzawa, and Y. Fujii Diffusion tensor analysis of peritumoral edema using lambda chart analysis indicative of the heterogeneity of the microstructure within edema J Neurosurg 102 2005 336 341
12. S. Lu, D. Ahn, and G. Johnson Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index Radiology 232 2004 221 228
13. D. Pauleit, K.J. Langen, and F. Floeth Can the apparent diffusion coefficient be used as a noninvasive parameter to distinguish tumor tissue from peritumoral tissue in cerebral gliomas? J Magn Reson Imaging 20 2004 758 764
14. S.J. Price, N.G. Burnet, and T. Donovan Diffusion tensor imaging of brain tumours at 3T: a potential tool for assessing white matter tract invasion? Clin Radiol 58 2003 455 462