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Literature DB >> 14605786

Diffusion-weighted imaging and single-voxel MR spectroscopy in a case of malignant cerebral lymphoma.

D Ducreux¹, R H Wu, D J Mikulis, K terBrugge.

Abstract

Since conventional MRI fails to distinguish between the common neoplasm involving the corpus callosum, we explored the utility of diffusion weighted imaging and single-voxel proton spectroscopy in a case of corpus callosum lymphoma.

Entities: Disease

Mesh：

Year: 2003 PMID： 14605786 DOI： 10.1007/s00234-003-1107-9

Source DB: PubMed Journal: Neuroradiology ISSN： 0028-3940 Impact factor: 2.804

11 in total

Review 1. Diffusion-weighted MR imaging in acute stroke: theoretic considerations and clinical applications.

Authors: J M Provenzale; A G Sorensen
Journal: AJR Am J Roentgenol Date: 1999-12 Impact factor: 3.959

2. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors: T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal: J Magn Reson Imaging Date: 1999-01 Impact factor: 4.813

3. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.

Authors: D Le Bihan; E Breton; D Lallemand; P Grenier; E Cabanis; M Laval-Jeantet
Journal: Radiology Date: 1986-11 Impact factor: 11.105

4. Time-dependent diffusion of water in a biological model system.

Authors: L L Latour; K Svoboda; P P Mitra; C H Sotak
Journal: Proc Natl Acad Sci U S A Date: 1994-02-15 Impact factor: 11.205

5. Differentiation between high-grade glioma and metastatic brain tumor using single-voxel proton MR spectroscopy.

Authors: H Ishimaru; M Morikawa; S Iwanaga; M Kaminogo; M Ochi; K Hayashi
Journal: Eur Radiol Date: 2001 Impact factor: 5.315

6. Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions.

Authors: W Möller-Hartmann; S Herminghaus; T Krings; G Marquardt; H Lanfermann; U Pilatus; F E Zanella
Journal: Neuroradiology Date: 2002-02-21 Impact factor: 2.804

7. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings.

Authors: T W Stadnik; C Chaskis; A Michotte; W M Shabana; K van Rompaey; R Luypaert; L Budinsky; V Jellus; M Osteaux
Journal: AJNR Am J Neuroradiol Date: 2001-05 Impact factor: 3.825

4. Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma.

Authors: R F Barajas; J L Rubenstein; J S Chang; J Hwang; S Cha
Journal: AJNR Am J Neuroradiol Date: 2009-09-03 Impact factor: 4.966

4 in total

Diffusion-weighted imaging and single-voxel MR spectroscopy in a case of malignant cerebral lymphoma.

Review 1. Diffusion-weighted MR imaging in acute stroke: theoretic considerations and clinical applications.

2. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

3. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.

4. Time-dependent diffusion of water in a biological model system.

5. Differentiation between high-grade glioma and metastatic brain tumor using single-voxel proton MR spectroscopy.

6. Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions.

7. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings.

8. Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics.

Review 9. In vivo molecular imaging for planning radiation therapy of gliomas: an application of 1H MRSI.

10. Proton MRS similarity between central nervous system non-Hodgkin lymphoma and intracranial tuberculoma.

1. Brain lymphoma: usefulness of the magnetic resonance spectroscopy.

Review 2. MR-visible lipids and the tumor microenvironment.

Review 3. Diffusion-weighted MRI in neuro-oncology.

4. Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma.