An automated technique for the quantitative assessment of 3D-MRSI data from patients with glioma.
about
Advanced magnetic resonance imaging methods for planning and monitoring radiation therapy in patients with high-grade gliomaImaging tumor metabolism using in vivo magnetic resonance spectroscopyClinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniquesAnalysis of volume MRI and MR spectroscopic imaging data for the evaluation of patients with brain tumors.Analysis of the spatial characteristics of metabolic abnormalities in newly diagnosed glioma patients.Short-echo three-dimensional H-1 MR spectroscopic imaging of patients with glioma at 7 Tesla for characterization of differences in metabolite levelsFast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data.Magnetic Resonance (MR) Metabolic Imaging in Glioma.Interrogating Metabolism in Brain Cancer.Tumor regrowth between surgery and initiation of adjuvant therapy in patients with newly diagnosed glioblastoma.Functional MRI for radiotherapy of gliomas.Metabolomics of Therapy Response in Preclinical Glioblastoma: A Multi-Slice MRSI-Based Volumetric Analysis for Noninvasive Assessment of Temozolomide TreatmentAssessment of therapeutic response and treatment planning for brain tumors using metabolic and physiological MRI.3-Dimensional magnetic resonance spectroscopic imaging at 3 Tesla for early response assessment of glioblastoma patients during external beam radiation therapyEvaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM.Computer-aided detection of brain tumor invasion using multiparametric MRIVolumetric spectroscopic imaging of glioblastoma multiforme radiation treatment volumes.MRI apparent diffusion coefficient reflects histopathologic subtype, axonal disruption, and tumor fraction in diffuse-type grade II gliomasSpatial characteristics of newly diagnosed grade 3 glioma assessed by magnetic resonance metabolic and diffusion tensor imagingPatterns of recurrence analysis in newly diagnosed glioblastoma multiforme after three-dimensional conformal radiation therapy with respect to pre-radiation therapy magnetic resonance spectroscopic findings.Survival analysis in patients with newly diagnosed glioblastoma using pre- and postradiotherapy MR spectroscopic imaging.Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy.A systematic pipeline for the objective comparison of whole-brain spectroscopic MRI with histology in biopsy specimens from grade III glioma.Magnetic resonance of 2-hydroxyglutarate in IDH1-mutated low-grade gliomas.Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab.Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging.Characterization of metabolites in infiltrating gliomas using ex vivo ¹H high-resolution magic angle spinning spectroscopy.Spatial Relationship of Glioma Volume Derived from FET PET and Volumetric MRSI: a hybrid PET-MRI study.Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma.Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma.Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy.Automated prescription of oblique brain 3D magnetic resonance spectroscopic imaging.Characterization of Metabolic, Diffusion, and Perfusion Properties in GBM: Contrast-Enhancing versus Non-Enhancing TumorRegistration of magnetic resonance spectroscopic imaging to computed tomography for radiotherapy treatment planning.Potential value of MR spectroscopic imaging for the radiosurgical management of patients with recurrent high-grade gliomas.Delineation of gliomas using radial metabolite indexing.Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme.
P2860
Q26826862-42359E00-18AE-4D6E-8586-296B9DFB3EF5Q27002499-6974C931-A9EC-40BE-800B-DDF7E337FC85Q27010896-C480F613-98B9-4FA9-AFDF-5CBE6C4A8FA2Q30657481-9116E7AB-8754-4890-87C3-A6B048B8D91AQ30717807-38239A38-7D59-4043-B56D-23C5A05F4CDCQ30831591-972BF858-07BC-451B-B0F9-ECC7A98035C6Q30836527-67E95C9A-4B62-4C85-B3D6-99DA98B86980Q31015256-35AA48CA-D092-4515-A2C4-2A4E8A7E95F3Q31136705-BC9243CF-F655-48FD-A26A-91624BA9DA7DQ33574572-E47519C6-AF4B-4A6D-8FBC-9CFA3AB65C3AQ33631456-7CF8E073-D827-4044-8941-76B9DAB19DA7Q33844943-E1E0D4C7-4A95-4B22-840B-E2ECED4110FEQ33888366-06ECEA05-C133-4779-9817-B8A268E31751Q34280336-5D0C3AD2-0835-4940-BE13-91802F0DFAE5Q34498046-22C0560A-E4FE-4B7E-B40C-5E6C432ED93FQ34498073-2E156FD5-AA1E-4899-A9D8-8F29A4A0A3CFQ35064377-004151C0-D93A-48ED-965E-A3485D326386Q35136926-22C0CF43-96EC-4C1C-A9E8-FFE6349CA6BEQ35419344-C835D6D8-7E16-4D24-8630-CDF653A07FACQ35762234-8A88CE07-FA17-44EA-8061-8A4334E51DE5Q36649062-EA3DCC56-1F45-4CBE-B89A-8CC9A4405590Q36792743-6A0A0FFC-63AF-477B-B685-03B1D342C508Q37127812-187D60D5-0048-4B4E-B47B-3BF4E965CB84Q37143167-34AD7730-EA06-4971-8D11-24C3D914893CQ37168287-5C5AF3CB-8070-4CE9-B823-F1B8289E690FQ37348479-5098AEAD-608C-430F-912A-A17671F04319Q37429908-616EFB32-8925-445F-9F2D-A4CB7535DAA0Q37697784-2BA283D9-F064-4833-B6F3-B99FAC1B1771Q38605118-36730125-8F5D-475B-9E3B-FF3D233143F9Q38998271-2962AE88-AB61-4775-B91C-5DAA3FA120DBQ39439133-8F4B285E-C9CC-417F-AC64-846508B96EFCQ39476804-FC522ADE-1BC2-4DAC-816B-3C11C3F47650Q40116790-B3B88839-EBA4-474A-8FA8-4CFED415879AQ42183933-DC992723-361C-4000-9F7C-028DD2C2412CQ42325580-1D8A4205-9F13-4EF2-BA4C-7B3A9254EF94Q42363638-F329BEF9-FF35-46D2-9223-68722BE299BFQ43999623-72877215-E0A6-405B-B08E-03B4ACF4C07FQ46611461-4A046D10-FCE0-4335-A4A6-8401F120B947Q48649578-F95AB324-4FEA-4CC5-9105-51A9ED44490EQ50673376-7962E354-37D7-41C9-A880-ACEB2AFD1381
P2860
An automated technique for the quantitative assessment of 3D-MRSI data from patients with glioma.
description
2001 nî lūn-bûn
@nan
2001 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
An automated technique for the ...... ata from patients with glioma.
@ast
An automated technique for the ...... ata from patients with glioma.
@en
type
label
An automated technique for the ...... ata from patients with glioma.
@ast
An automated technique for the ...... ata from patients with glioma.
@en
prefLabel
An automated technique for the ...... ata from patients with glioma.
@ast
An automated technique for the ...... ata from patients with glioma.
@en
P2093
P1476
An automated technique for the ...... ata from patients with glioma.
@en
P2093
McKnight TR
Noworolski SM
Vigneron DB
P304
P356
10.1002/1522-2586(200102)13:2<167::AID-JMRI1026>3.0.CO;2-K
P577
2001-02-01T00:00:00Z