Share：
Share this content in WeChat
X
[Chinese][PDF]7496
• Editorial •
Application and development of magnetic resonance imaging in glioma
CHENG Jing-liang  YANG Tao 

DOI:10.3969/j.issn.1674-8034.2014.05.S1.013.


[Abstract] Glioma is the most common type of brain tumor, a serious threat to human health and survival, it has always been a research hotspot in medical field. Application of magnetic resonance imaging(MRI), especially the MRI functional and molecular imaging technology, had played a more and more important role for the diagnosis, grading and prognosis and therapeutic effect evaluation of brain glioma. This article had focused the current MRI application and development in brain glioma.
[Keywords] Brain；Glioma；Magnetic resonance imaging

CHENG Jing-liang * MRI Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China

YANG Tao Centre of Imaging, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China

*Correspondence to: Cheng JL, E-mail: cjr.chjl@vip.163.com

Conflicts of interest   None.

Received  2014-08-16
Accepted  2014-09-25
DOI: 10.3969/j.issn.1674-8034.2014.05.S1.013
DOI:10.3969/j.issn.1674-8034.2014.05.S1.013.

[1]
Dolecek TA, Propp JM, Stroup NE, et al. CBTRUS statistical report: primary brain tumors and central nervous system tumors diagnosed in the united states in 2005-2009. Neuro Oncol, 2012, 14(5): 21-49.
[2]
Louis DN, Ohgaki H, Wiestler OD, et al. The 2007 WHO classification of tumors of the central nervous system. Acta Neuropathol, 2007, 114(2): 97-109.
[3]
Nishi N, Kawai S, Yonezawa T, et al. Early appearance of high grade glioma on magnetic resonance imaging. Neurol Med Chir(Tokyo), 2009, 49(1): 8-12.
[4]
Mills SJ, Soh C, O' Connor JP, et al. Enhancing fraction in glioma and its relation ship to the tumoral vascular microenvironment:a dynamic contrast-enhanced MR imaging study. AJNR Am J Neuroradiol, 2010, 31(4): 726-731.
[5]
Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motion: application to diffusion and perfusion in neurologic disorders. Radiology, 1986, 161 (9):401-405.
[6]
Kang Y, Choi SH, Kim YJ, et al. Gliomas: histogram analysis of apparent diffusion coefficient maps with standard-or-high-b-value diffusion-weighted MR imaging-correlation with tumor grade. Radiology, 2011, 261(3): 882-290.
[7]
Chiang IC, Hsieh TJ, Chiu ML, et al. Distinction between pyogenic brain abscess and necrotic brain tumour using 3-tesla MR spectroscopy, diffusion and perfusion imaging. Br J Radiol, 2009, 82(982): 813-820.
[8]
Mascalchi M, Filippi M, Floris R, et al. Diffusion-weighted MR of the brain: methodology and clinical application. Radiol Med. 2005, 109(3):155-197.
[9]
Ferda J, Kastner J, Mukensnabl P, et al. Diffusion tensor magnetic resonance imaging of glial brain tumors. Eur J Radiol,2010,74(3): 428-436.
[10]
Liu X, Tian W, Kolar B, et al. MR diffusion tensor and perfusion weighted imaging in preoperative grading of supratentorial nonenhanceing gliomas. Neuro Oncol, 2011, 13(4): 447-455.
[11]
Du ZY, Gao XA, Zhang XL, et al. Preoperative evaluation of neurovascular relationships for microvascular decompression in the cerebellopontine angle in a virtual reality environment. J Neurosurg, 2010, 113(3): 479-485.
[12]
Giussani C, Poliakov A, Ferri RT, et al. DTI fiber tracking to differentiate demyelinating diseases from diffuse brain stem glioma. Neuroimaging, 2010, 52(1): 217-223.
[13]
Reisert M, Kiselev VG, Fiber continuity: an anisotropic prior for ODF estimation. IEEE Trans Med Imaging, 2011, 30(6): 1274-1283.
[14]
Xu JL, Li YL, Lian JM, et al. Distinction between postoperative recurrent glioma and radiation injury using MR diffusion tensor imaging. Neuroradiology, 2010, 52(12): 1193-1199.
[15]
Rasmussen M, Juul N, Christensen SM, et al. Cerebral blood flow, blood volume, and mean transit time responses to propofol and indomethacin in peritumor and contralateral brain regions perioperative perfusionweighted magnetic resonance imaging in patients with brain tumors. Anesthesiology, 2010, 112(1): 50-56.
[16]
Brant-Zaw adzki M. Pitfalls of contrast-enhanced imaging in the nervous system. Magn Reson Med, 1991, 22(2): 243-248.
[17]
Nagaraja TN, Knight RA, Ewing JR, et al. Multiparametric magnetic resonance imaging and repeated measurements of blood-brain barrier permeability to contrast agents. Mol Biol, 2011,686:193-212.
[18]
Haris M, Husain N, Singh A, et al. Dynamic contrast-enhanced derived cerebralblood volume correlates betterwith leak correction than with no correction forvascularendothe lialgrowth factor, microvascular density, and grading of astrocytoma. J Comput Assist Tomogr, 2008, 32(6): 955-965.
[19]
Hakyemez B, Erdogan C, Gokalp G, et al. Solitary metastases and high grade gliomas: radiological differentiation by morphometric analysis and perfusion-weighted MRI. Clin Radiol, 2010, 65(1): 15-20.
[20]
Ozbek O, Koc O, Paksoy Y, et al. Epstein-Barr virus encephalitis: finding of MRI,MRS,diffusion and perfusion.Turk J Pediatr, 2011, 53(6):680-683.
[21]
vander Kemp WJ, Boer VO, Luijten PR, et al. Increase in SNR for 31P MR spectroscopy by combining polarization transfer with a direct detection sequence. Magn Reson Med, 2012, 68(2):353-357.
[22]
Shah T, Jayasundar R, Singh VP, et al. In vivo MRS study of intraventricular tumor. J Magn Reson Imaging, 2011, 34(5) :1053-1059.
[23]
Stadlbauer A, Buchfelder M, Doelken MT, et al. Magnetic resonance spectroscopic imaging for visualization of the infiltration zone of glioma. Cen Eur Neurosurg, 2011, 72(2): 63-69.
[24]
Morita N, H arada M. Clinical oplication of MR Spectroscopy and Imaging of Brain Tumor. Magn Reson Med, 2010, 9 (4):167-175.
[25]
Sauter AW, Wehrl HF, Kolb A, et al. Combined PET/MRI: one step further in multimodality imaging. Trends Mol Med, 2010, 16(11):508-515.
[26]
Boss A, Bisdas S, Kolb A, et al. Hybrid PET/MRI of intracranial masses: initial experiences and comparison to PET/CT. J Nucl Med, 2010, 51(8):1198-1205.
[27]
Sanai N, Polley MY, Berger MS. Insular glioma resection: assessment of patient morbidity, survival, and tumor progression. J Neurosurg, 2010,112(1):1-9.
[28]
Gerganov VM, Samii A, Stieglitz L, et al. Typical 3-D localization of tumor remnants of WHO grade Ⅱ hemispheric gliomas-lessons learned from the use of intraoperative highfield MRI control. Acta Neurochir (Wien), 2011, 153(3):479-487.
[29]
Chen X, Xu BN, Meng X, et al. Dual-room 1.5-T intraoperative magnetic resonance imaging suite with a movable magnet implementation and preliminary experience. Neurosurg Rev, 2012, 35(1):95-109.
[30]
Lobel U, Sedlacik J, Sabin ND, et al. Three-dimensional susceptibility-weighted imaging and two-dimensional T2*-weighted gradient-echo imaging of intratumoral hemorrhages in pediatric diffuse intrinsic pontine glioma. Neuroradiology, 2010, 52(12): 1167-1177.
[31]
Hori M, Mori H, Aoki S, et al. Three-dimensional susceptibility weighted imaging at 3 T using various image analysismethods in the estimation of grading intracranial gliomas. Magn Reson Imaging, 2010, 28(4):594-598.
[32]
Vöglein J, Tüttenberg J, Weimer M, et al. Treatment monitoring in gliomas: Comparison of dynamic susceptibility-weighted contrast-enhanced and spectroscopic MRI techniques for identifying treat-ment failure. Invest Radiol, 2011, 46(6): 390-400.
[33]
Server A, Orheim TE, Graff BA, et al. Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis. Neuroradiology, 2011, 53(5): 319-330.
[34]
Zaca D, Hua J, Pillai JJ. Cerebrovasculai reactivity mapping for brain tumor presurgical planning. World J Clin Oncol, 2011, 2(7):289-289.
[35]
Kuhnt D, Ganslandt O, Buchfelder M，et al.Multimodal navigation in glioma surgery. Curr Med Imaging Rev, 2010, 6(4):259-265.
[36]
Jiang Z, Krainik A, David O,et al. Impaired MRI activation in patients with primary brain tumors. Neuroimaging, 2010, 52(2):538-548.
[37]
李军，张雪雁，姜兴岳，等．联合MR扩散张量成像与波谱分析对胶质母细胞瘤放疗前后的评价. 磁共振成像, 2014, 5(2):88-91.
[38]
何慧瑾，冯晓源．重视MRI新技术在脑肿瘤诊断中的合理应用.磁共振成像, 2012, 3 (1):4-7.
[39]
吴裕强，林祺，兰玉华，等．胶质母细胞瘤多模式MRI表现及其病理组织学基础．磁共振成像, 2013, 4(3):196-200.

PREV Application and development of MR imaging on Breast diseases
NEXT Clinical application and advances of functional magnetic resonance imaging
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn