Literature DB >> 9258924

MR diffusion imaging of human intracranial tumours.

K Krabbe1, P Gideon, P Wagn, U Hansen, C Thomsen, F Madsen.   

Abstract

We used MRI for in vivo measurement of brain water self-diffusion in patients with intracranial tumours. The study included 28 patients (12 with high-grade and 3 with low-grade gliomas, 7 with metastases, 5 with meningiomas and 1 with a cerebral abscess). Apparent diffusion coefficients (ADC) were calculated in a single axial slice through the tumours, the sequence was sensitive to diffusion along the cephalocaudal axis. Our main finding was that ADC in contrast-enhancing areas within cerebral metastases was statistically significantly higher than ADC in contrast-enhancing areas in high-grade gliomas (P < or = 0.05). Furthermore, the ADC in oedema surrounding metastases were statistically significantly higher the ADC in oedema around high-grade gliomas (P < or = 0.02). The ADC in patients with meningiomas did not differ significantly from those seen with high-grade gliomas or cerebral metastases. The highest ADC were found within cystic or necrotic tumour areas. In one patient with a cerebral abscess, suspected of having a high-grade glioma, the ADC was similar to that in high-grade gliomas. The finding of higher ADC in cerebral metastases than in high-grade gliomas may be helpful in trying to distinguish between these tumours preoperatively; it suggests increased free extracellular and/or intracellular water fraction in cerebral metastases. The method seems to hold potential for further noninvasive characterisation of intracranial tumours.

Entities:  

Mesh:

Year:  1997        PMID: 9258924     DOI: 10.1007/s002340050450

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


  74 in total

1.  [Brain abscesses in diffusion-weighted imaging (DWI)--comparison to cystic brain tumors].

Authors:  R Tomczak; A Wunderlich; J Görich; H-J Brambs; N Rilinger
Journal:  Radiologe       Date:  2003-06-24       Impact factor: 0.635

2.  Distinction between high-grade gliomas and solitary metastases using peritumoral 3-T magnetic resonance spectroscopy, diffusion, and perfusion imagings.

Authors:  I Chan Chiang; Yu-Ting Kuo; Chia-Ying Lu; Kwok-Wan Yeung; Wei-Chen Lin; Feng-O Sheu; Gin-Chung Liu
Journal:  Neuroradiology       Date:  2004-07-09       Impact factor: 2.804

Review 3.  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

4.  Differential microstructure and physiology of brain and bone metastases in a rat breast cancer model by diffusion and dynamic contrast enhanced MRI.

Authors:  Matthew D Budde; Eric Gold; E Kay Jordan; Joseph A Frank
Journal:  Clin Exp Metastasis       Date:  2011-11-01       Impact factor: 5.150

5.  Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy.

Authors:  Alfonso Di Costanzo; Tommaso Scarabino; Francesca Trojsi; Giuseppe M Giannatempo; Teresa Popolizio; Domenico Catapano; Simona Bonavita; Nicola Maggialetti; Michela Tosetti; Ugo Salvolini; Vincenzo A d'Angelo; Giocchino Tedeschi
Journal:  Neuroradiology       Date:  2006-06-03       Impact factor: 2.804

6.  High b-value diffusion (b = 3000 s/mm2) MR imaging in cerebral gliomas at 3T: visual and quantitative comparisons with b = 1000 s/mm2.

Authors:  H S Seo; K-H Chang; D G Na; B J Kwon; D H Lee
Journal:  AJNR Am J Neuroradiol       Date:  2007-12-07       Impact factor: 3.825

7.  Diffusion-weighted MRI derived apparent diffusion coefficient identifies prognostically distinct subgroups of pediatric diffuse intrinsic pontine glioma.

Authors:  Robert M Lober; Yoon-Jae Cho; Yujie Tang; Patrick D Barnes; Michael S Edwards; Hannes Vogel; Paul G Fisher; Michelle Monje; Kristen W Yeom
Journal:  J Neurooncol       Date:  2014-02-13       Impact factor: 4.130

8.  The correlation between 1H MRS choline concentrations and MR diffusion trace values in human brain tumors.

Authors:  Dita Wagnerova; Filip Jiru; Monika Dezortova; Lydie Vargova; Eva Sykova; Milan Hajek
Journal:  MAGMA       Date:  2008-10-25       Impact factor: 2.310

9.  Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging.

Authors:  Wei Bian; Inas S Khayal; Janine M Lupo; Colleen McGue; Scott Vandenberg; Kathleen R Lamborn; Susan M Chang; Soonmee Cha; Sarah J Nelson
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

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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