Clinical applications of susceptibility-weighted imaging in detecting and grading intracranial gliomas: a review
暂无分享,去创建一个
Shi Haibin | Wasif Mohammed | Hong Xunning | Meng Jingzhi | X-N Hong | Shi Haibin | Wasif Mohammed | Hong Xunning | Meng Jingzhi | Haibin Shi | Jingzhi Meng
[1] R. Mirimanoff,et al. [A practical guide for the management of gliomas]. , 2007, Bulletin du cancer.
[2] Jaladhar Neelavalli,et al. Susceptibility‐weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses , 2006, Journal of magnetic resonance imaging : JMRI.
[3] S Trattnig,et al. High-Resolution Contrast-Enhanced, Susceptibility-Weighted MR Imaging at 3T in Patients with Brain Tumors: Correlation with Positron-Emission Tomography and Histopathologic Findings , 2007, American Journal of Neuroradiology.
[4] P. Cassoni,et al. Role of diffusion- and perfusion-weighted MR imaging for brain tumour characterisation , 2009, La radiologia medica.
[5] Paolo Ricci,et al. Mobile phones and head tumours. The discrepancies in cause-effect relationships in the epidemiological studies - how do they arise? , 2011, Environmental health : a global access science source.
[6] R. Brasch,et al. MRI characterization of tumors and grading angiogenesis using macromolecular contrast media: status report. , 2000, European journal of radiology.
[7] L. Cui,et al. Analysis of the mismatched manifestation between rCBF and rCBV maps in cerebral astrocytomas. , 2009, Clinical imaging.
[8] J K Smith,et al. Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas. , 2001, AJNR. American journal of neuroradiology.
[9] Christopher P Hess,et al. 7-Tesla susceptibility-weighted imaging to assess the effects of radiotherapy on normal-appearing brain in patients with glioma. , 2012, International journal of radiation oncology, biology, physics.
[10] Daniela Prayer,et al. Longitudinal brain imaging of five malignant glioma patients treated with bevacizumab using susceptibility-weighted magnetic resonance imaging at 7 T. , 2012, Magnetic resonance imaging.
[11] K-H Chang,et al. 3T 1H-MR spectroscopy in grading of cerebral gliomas: comparison of short and intermediate echo time sequences. , 2006, AJNR. American journal of neuroradiology.
[12] D. Mikulis,et al. Diagnostic value of peritumoral minimum apparent diffusion coefficient for differentiation of glioblastoma multiforme from solitary metastatic lesions. , 2011, AJR. American journal of roentgenology.
[13] R I Grossman,et al. Gliomas: correlation of magnetic susceptibility artifact with histologic grade. , 1997, Radiology.
[14] J. Folkman. What is the evidence that tumors are angiogenesis dependent? , 1990, Journal of the National Cancer Institute.
[15] Toshihiro Kumabe,et al. Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. , 2006, Radiology.
[16] D. Yousem,et al. Detection of Intratumoral Calcification in Oligodendrogliomas by Susceptibility-Weighted MR Imaging , 2012, American Journal of Neuroradiology.
[17] C. Matula,et al. Fractal analysis of the susceptibility weighted imaging patterns in malignant brain tumors during antiangiogenic treatment: technical report on four cases serially imaged by 7 T magnetic resonance during a period of four weeks. , 2012, World neurosurgery.
[18] H. Lanfermann,et al. Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions , 2002, Neuroradiology.
[19] Z. Wu,et al. Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 2 , 2008, American Journal of Neuroradiology.
[20] C. Decaestecker,et al. Apparent Diffusion Coefficient and Cerebral Blood Volume in Brain Gliomas: Relation to Tumor Cell Density and Tumor Microvessel Density Based on Stereotactic Biopsies , 2008, American Journal of Neuroradiology.
[21] S. Atlas,et al. Intracranial hemorrhage: gradient-echo MR imaging at 1.5 T. Comparison with spin-echo imaging and clinical applications. , 1988, Radiology.
[22] Bin Ai,et al. Susceptibility-weighted imaging in grading brain astrocytomas. , 2010, European journal of radiology.
[23] J. Raizer,et al. Glioblastoma: a method for predicting response to antiangiogenic chemotherapy by using MR perfusion imaging--pilot study. , 2010, Radiology.
[24] J. Waterton,et al. Evaluation of novel combined carbogen USPIO (CUSPIO) imaging biomarkers in assessing the antiangiogenic effects of cediranib (AZD2171) in rat C6 gliomas , 2012, International journal of cancer.
[25] T R Brown,et al. Proton magnetic resonance spectroscopy in patients with glial tumors: a multicenter study. , 1996, Journal of neurosurgery.
[26] Bram Stieltjes,et al. Biopsy Targeting Gliomas: Do Functional Imaging Techniques Identify Similar Target Areas? , 2010, Investigative radiology.
[27] Jaladhar Neelavalli,et al. Clinical applications of neuroimaging with susceptibility‐weighted imaging , 2005, Journal of magnetic resonance imaging : JMRI.
[28] S. Ng,et al. Differentiation of Pyogenic Brain Abscesses from Necrotic Glioblastomas with Use of Susceptibility-Weighted Imaging , 2012, American Journal of Neuroradiology.
[29] J R Reichenbach,et al. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. , 1997, Radiology.
[30] G. Jahng,et al. Semiquantitative Assessment of Intratumoral Susceptibility Signals Using Non-Contrast-Enhanced High-Field High-Resolution Susceptibility-Weighted Imaging in Patients with Gliomas: Comparison with MR Perfusion Imaging , 2009, American Journal of Neuroradiology.
[31] E. Haacke,et al. Susceptibility-Weighted MR Imaging: A Review of Clinical Applications in Children , 2008, American Journal of Neuroradiology.
[32] W. Lin,et al. MR high-resolution blood oxygenation level-dependent venography of occult (low-flow) vascular lesions. , 1999, AJNR. American journal of neuroradiology.
[33] J R Reichenbach,et al. High-Resolution MR Venography at 3.0 Tesla , 2000, Journal of computer assisted tomography.
[34] O. Abe,et al. Three-dimensional susceptibility-weighted imaging at 3 T using various image analysis methods in the estimation of grading intracranial gliomas. , 2010, Magnetic resonance imaging.
[35] Jan Sedlacik,et al. Three-dimensional susceptibility-weighted imaging and two-dimensional T2*-weighted gradient-echo imaging of intratumoral hemorrhages in pediatric diffuse intrinsic pontine glioma , 2010, Neuroradiology.
[36] A. Bjørnerud,et al. Histogram Analysis of MR Imaging–Derived Cerebral Blood Volume Maps: Combined Glioma Grading and Identification of Low-Grade Oligodendroglial Subtypes , 2008, American Journal of Neuroradiology.
[37] J. Debbins,et al. Correlations between Perfusion MR Imaging Cerebral Blood Volume, Microvessel Quantification, and Clinical Outcome Using Stereotactic Analysis in Recurrent High-Grade Glioma , 2012, American Journal of Neuroradiology.
[38] S. Olmos,et al. Malignancy assessment of brain tumours with magnetic resonance spectroscopy and dynamic susceptibility contrast MRI. , 2008, European journal of radiology.
[39] S. Aoki,et al. Precontrast and postcontrast susceptibility-weighted imaging in the assessment of intracranial brain neoplasms at 1.5 T , 2010, Japanese Journal of Radiology.
[40] C. Matula,et al. Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas , 2012, Neuroradiology.
[41] Timothy P L Roberts,et al. Neuro MR: Principles , 2007, Journal of magnetic resonance imaging : JMRI.
[42] S. Trattnig,et al. High-field, high-resolution, susceptibility-weighted magnetic resonance imaging: improved image quality by addition of contrast agent and higher field strength in patients with brain tumors , 2007, Neuroradiology.
[43] P. Barker,et al. Can Proton MR Spectroscopic and Perfusion Imaging Differentiate Between Neoplastic and Nonneoplastic Brain Lesions in Adults? , 2008, American Journal of Neuroradiology.
[44] Sharmila Majumdar,et al. GRAPPA-based susceptibility-weighted imaging of normal volunteers and patients with brain tumor at 7 T. , 2009, Magnetic resonance imaging.
[45] Toshinori Hirai,et al. Usefulness of diffusion‐weighted MRI with echo‐planar technique in the evaluation of cellularity in gliomas , 1999, Journal of magnetic resonance imaging : JMRI.
[46] T. Hirai,et al. Diffusion-weighted imaging of metastatic brain tumors: comparison with histologic type and tumor cellularity. , 2006, AJNR. American journal of neuroradiology.
[47] H. An,et al. Improving high‐resolution MR bold venographic imaging using a T1 reducing contrast agent , 1999, Journal of magnetic resonance imaging : JMRI.
[48] Markus Barth,et al. Nonnvasive assessment of vascular architecture and function during modulated blood oxygenation using susceptibility weighted magnetic resonance imaging , 2005, Magnetic resonance in medicine.
[49] E. Haacke,et al. Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 1 , 2008, American Journal of Neuroradiology.
[50] G. Jahng,et al. Added Value and Diagnostic Performance of Intratumoral Susceptibility Signals in the Differential Diagnosis of Solitary Enhancing Brain Lesions: Preliminary Study , 2009, American Journal of Neuroradiology.
[51] E. Melhem,et al. Arterial Spin-Labeling and MR Spectroscopy in the Differentiation of Gliomas , 2007, American Journal of Neuroradiology.
[52] X. Lou,et al. Susceptibility-Weighted Imaging in the Diagnosis of Early Basal Ganglia Germinoma , 2009, American Journal of Neuroradiology.
[53] Sandeep Bhuta,et al. Susceptibility‐Weighted Imaging of the Brain: Current Utility and Potential Applications , 2011, Journal of neuroimaging : official journal of the American Society of Neuroimaging.