Literature DB >> 11337344

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

T W Stadnik1, C Chaskis, A Michotte, W M Shabana, K van Rompaey, R Luypaert, L Budinsky, V Jellus, M Osteaux.   

Abstract

BACKGROUND AND
PURPOSE: The purposes of this study were to find the role of diffusion-weighted MR imaging in characterizing intracerebral masses and to find a correlation, if any, between the different parameters of diffusion-weighted imaging and histologic analysis of tumors. The usefulness of diffusion-weighted imaging and apparent diffusion coefficient (ADC) maps in tumor delineation was evaluated. Contrast with white matter and ADC values for tumor components with available histology were also evaluated.
METHODS: Twenty patients with clinical and routine MR imaging/CT evidence of intracerebral neoplasm were examined with routine MR imaging and echo-planar diffusion-weighted imaging. The routine MR imaging included at least the axial T2-weighted fast spin-echo and axial T1-weighted spin-echo sequences before and after contrast enhancement. The diffusion-weighted imaging included an echo-planar spin-echo sequence with three b values (0, 300, and 1200 s/mm(2)), sensitizing gradient in the z direction, and calculated ADC maps. The visual comparison of routine MR images with diffusion-weighted images for tumor delineation was performed as was the statistical analysis of quantitative diffusion-weighted imaging parameters with histologic evaluation.
RESULTS: For tumors, the diffusion-weighted images and ADC maps of gliomas were less useful than the T2-weighted spin-echo and contrast-enhanced T1-weighted spin-echo images in definition of tumor boundaries. Additionally, in six cases of gliomas, neither T2-weighted spin-echo nor diffusion-weighted images were able to show a boundary between tumor and edema, which was present on contrast-enhanced T1-weighted and/or perfusion echo-planar images. The ADC values of solid gliomas, metastases, and meningioma were in the same range. In two cases of lymphomas, there was a good contrast with white matter, with strongly reduced ADC values. For infection, the highest contrast on diffusion-weighted images and lowest ADC values were observed in association with inflammatory granuloma and abscess.
CONCLUSION: Contrary to the findings of previous studies, we found no clear advantage of diffusion-weighted echo-planar imaging in the evaluation of tumor extension. The contrast between gliomas, metastases, meningioma, and white matter was generally lower on diffusion-weighted images and ADC maps compared with conventional MR imaging. Unlike gliomas, the two cases of lymphomas showed hyperintense signal on diffusion-weighted images whereas the case of cerebral abscess showed the highest contrast on diffusion-weighted images with very low ADC values. Further study is required to find out whether this may be useful in the differentiation of gliomas and metastasis from lymphoma and abscess.

Entities:  

Mesh:

Year:  2001        PMID: 11337344      PMCID: PMC8174938     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  14 in total

1.  Use of diffusion-weighted MR imaging in differential diagnosis between intracerebral necrotic tumors and cerebral abscesses.

Authors:  B Desprechins; T Stadnik; G Koerts; W Shabana; C Breucq; M Osteaux
Journal:  AJNR Am J Neuroradiol       Date:  1999-08       Impact factor: 3.825

2.  MR diffusion imaging of human intracranial tumours.

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Journal:  Neuroradiology       Date:  1997-07       Impact factor: 2.804

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4.  Toward a quantitative assessment of diffusion anisotropy.

Authors:  C Pierpaoli; P J Basser
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5.  NMR imaging of the apparent diffusion coefficient (ADC) for the evaluation of metabolic suppression and recovery after prolonged cerebral ischemia.

Authors:  K A Hossmann; M Fischer; K Bockhorst; M Hoehn-Berlage
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6.  Intracellular diffusion of water.

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8.  Intravoxel incoherent motion (IVIM) MRI in intracranial, extraaxial tumors and cysts.

Authors:  M Maeda; Y Kawamura; Y Tamagawa; T Matsuda; S Itoh; H Kimura; T Iwasaki; N Hayashi; K Yamamoto; Y Ishii
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9.  Diffusion-weighted MR imaging and T2-weighted MR imaging in acute cerebral ischaemia: comparison and correlation with histopathology.

Authors:  R J Sevick; J Kucharczyk; J Mintorovitch; M E Moseley; N Derugin; D Norman
Journal:  Acta Neurochir Suppl (Wien)       Date:  1990

10.  MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences.

Authors:  R D Tien; G J Felsberg; H Friedman; M Brown; J MacFall
Journal:  AJR Am J Roentgenol       Date:  1994-03       Impact factor: 3.959

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  97 in total

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

Authors:  D Ducreux; R H Wu; D J Mikulis; K terBrugge
Journal:  Neuroradiology       Date:  2003-11-05       Impact factor: 2.804

Review 2.  Diffusion tensor imaging of the brain: review of clinical applications.

Authors:  P C Sundgren; Q Dong; D Gómez-Hassan; S K Mukherji; P Maly; R Welsh
Journal:  Neuroradiology       Date:  2004-04-21       Impact factor: 2.804

Review 3.  Methodology of diffusion-weighted, diffusion tensor and magnetisation transfer imaging.

Authors:  S J Price; D J Tozer; J H Gillard
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

Review 4.  Magnetic Resonance Imaging: Principles and Techniques: Lessons for Clinicians.

Authors:  Vijay P B Grover; Joshua M Tognarelli; Mary M E Crossey; I Jane Cox; Simon D Taylor-Robinson; Mark J W McPhail
Journal:  J Clin Exp Hepatol       Date:  2015-08-20

5.  Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.

Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
Journal:  J Neurooncol       Date:  2016-07-08       Impact factor: 4.130

6.  Diffusion-weighted MR imaging (DWI) in spinal cord ischemia.

Authors:  Majda M Thurnher; Roland Bammer
Journal:  Neuroradiology       Date:  2006-09-15       Impact factor: 2.804

Review 7.  Intra-axial brain tumours.

Authors:  G Wilms; Ph Demaerel; S Sunaert
Journal:  Eur Radiol       Date:  2004-12-31       Impact factor: 5.315

8.  Apparent diffusion coefficient in vasogenic edema and reactive astrogliosis.

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Journal:  Neuroradiology       Date:  2007-08-23       Impact factor: 2.804

9.  Practical data acquisition method for human brain tumor amide proton transfer (APT) imaging.

Authors:  Jinyuan Zhou; Jaishri O Blakeley; Jun Hua; Mina Kim; John Laterra; Martin G Pomper; Peter C M van Zijl
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10.  Diffusion imaging for therapy response assessment of brain tumor.

Authors:  Thomas L Chenevert; Brian D Ross
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

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