Differences in the architecture of low-grade and high-grade gliomas evaluated using fiber density index and fractional anisotropy

Journal of Clinical Neuroscience

Volumn 17, Issue 7, 2010, Pages 824-829

  Chen, Yiyong ^a   Shi, Yonghong ^a   Song, Zhijian ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Diffusion tensor MRI; DTI fiber tracking; Fiber density index; Fractional anisotropy; Glioma

Indexed keywords

ADULT; AGED; ARTICLE; CANCER GRADING; CHILD; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC VALUE; DIFFUSION TENSOR IMAGING; FEMALE; FIBER DENSITY INDEX; FRACTIONAL ANISOTROPY; GLIOMA; HEMISPHERE; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; MALE; MEDICAL PARAMETERS; NUCLEAR MAGNETIC RESONANCE SCANNER; PREOPERATIVE PERIOD; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SCHOOL CHILD; WHITE MATTER;

ADOLESCENT; ADULT; AGED; ANISOTROPY; BRAIN NEOPLASMS; CHILD; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; GLIOMA; HUMANS; MALE; MIDDLE AGED; NERVE FIBERS; YOUNG ADULT;

EID: 77952540702     PISSN: 09675868     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocn.2009.11.022     Document Type: Article

References (26)

1. Kayama T., Kumabe T., Tominaga T., et al. Prognostic value of complete response after the initial treatment for malignant astrocytoma. Neurol Res 18 (1996) 321-324
2. Black P.M. Brain tumors. Part 1. N Engl J Med 324 (1991) 1471-1476
3. Sugahara T., Korogi Y., Kochi M., et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 9 (1999) 53-60
4. Dong Q., Welsh R.C., Chenevert T.L., et al. Clinical applications of diffusion tensor imaging. J Magn Reson Imaging 19 (2004) 6-18
5. Le Bihan D., Mangin J.F., Poupon C., et al. Diffusion tensor imaging: concepts and application. J Magn Reson Imaging 13 (2001) 534-546
6. Price S.J., Jena R., Burnet N.G., et al. Predicting patterns of glioma recurrence using diffusion tensor imaging. Eur Radiol 17 (2007) 1675-1684
7. Guo A.C., Cummings T.J., Dash R.C., et al. Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 224 (2002) 177-183
8. Zimmerman R.D. Is there a role for diffusion-weighted imaging in patients with brain tumors or is the "bloom off the rose"?. Am J Neuroradiol 22 (2001) 1013-1014
9. Kono K., Inoue Y., Nakayama K., et al. The role of diffusion-weighted imaging in patients with brain tumors. Am J Neuroradiol 22 (2001) 1081-1088
10. Inoue T., Ogasawara K., Beppu T., et al. Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas. Clin Neurol Neurosurg 107 (2005) 174-180
11. Beppu T., Inoue T., Shibata Y., et al. Measurement of fractional anisotropy using diffusion tensor MRI in supratentorial astrocytic tumors. J Neurooncol 63 (2003) 109-116
12. Wieshmann U.C., Clark C.A., Symms M.R., et al. Reduced anisotropy of water diffusion in structural cerebral abnormalities demonstrated with diffusion tensor imaging. Magn Reson Imaging 17 (1999) 1269-1274
13. Goebell E., Paustenbach S., Vaeterlein O., et al. Low-grade and anaplastic gliomas: differences in architecture evaluated with diffusion-tensor MR imaging. Radiology 239 (2006) 217-222
14. Aravamuthan B.R., McNab J.A., Miller K.L., et al. Cortical and subcortical connections within the pedunculopontine nucleus of the primate Macaca mulatta determined using probabilistic diffusion tractography. J Clin Neurosci 16 (2009) 413-420
15. Roberts T.P., Liu F., Kassner A., et al. Fiber density index correlates with reduced fractional anisotropy in white matter of patients with glioblastoma. Am J Neuroradiol 26 (2005) 2183-2186
16. Field A.S. Diffusion tensor imaging at the crossroads: fiber tracking meets tissue characterization in brain tumors. Am J Neuroradiol 26 (2005) 1268-1269
17. Stadlbauer A., Nimsky C., Buslei R., et al. Diffusion tensor imaging and optimized fiber tracking in glioma patients: histopathologic evaluation of tumor-invaded white matter structures. Neuroimage 34 (2007) 949-956
18. Jenkinson M., and Smith S. A global optimisation method for robust affine registration of brain images. Med Image Anal 5 (2001) 143-156
19. Mori S., and van Zijl P.C.M. Fiber tracking: principles and strategies - a technical review. NMR Biomed 15 (2002) 468-480
20. Jiang H., van Zijl P.C., Kim J., et al. DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Comput Methods Programs Biomed 81 (2006) 106-116
21. Wakana S., Jiang H., Nagae-Poetscher L.M., et al. Fiber tract-based atlas of human white matter anatomy. Radiology 230 (2004) 77-87
22. O'Sullivan M., Summers P.E., Jones D.K., et al. Normal-appearing white matter in ischemic leukoaraiosis: a diffusion tensor MRI study. Neurology 57 (2001) 2307-2310
23. Zelaya F., Flood N., Chalk J.B., et al. An evaluation of the time dependence of the anisotropy of the water diffusion tensor in acute human ischemia. Magn Reson Imaging 17 (1999) 331-348
24. Kinoshita M., Yamada K., Hashimoto N., et al. Fiber-tracking does not accurately estimate size of fiber bundle in pathological condition: initial neurosurgical experience using neuronavigation and subcortical white matter stimulation. Neuroimage 25 (2005) 424-429
25. Akai H., Mori H., Masutani Y., et al. Diffusion tensor tractography of gliomatosis cerebri: fiber tracking through the tumor. J Comput Assist Tomogr 29 (2005) 127-129
26. Bello L., Gambini A., Castellano A., et al. Motor and language DTI fiber tracking combined with intraoperative subcortical mapping for surgical removal of gliomas. Neuroimage 39 (2008) 369-382