Literature DB >> 7976585

Quantitative diffusion MR imaging of cerebral tumor and edema.

M Eis1, T Els, M Hoehn-Berlage, K A Hossmann.   

Abstract

The detection of brain tumors using standard techniques of qualitative, relaxation-weighted magnetic resonance imaging (MRI) requires the application of contrast agents. We investigated whether or not it is possible to use diffusion-weighted MRI to localize tumors without contrast enhancement. Three different experimental rat brain tumors were studied: F98 glioma, RN6 Schwannoma and E376 neuroblastoma. We found a marked hypointensity in the region of the tumor and edema in heavily diffusion-weighted images, which corresponded well with the histological presentation. Quantitative maps of the apparent diffusion coefficient (ADC) allowed a better localization of the tumor than that obtained by regional presentation of T2 times, particularly under conditions in which peritumoral edema was absent. The ADC differences of the three tumor types were statistically not significant. Based upon regions-of-interest evaluations, tumor could be distinguished from peritumoral edema and normal brain tissue. However, a sharp demarcation between tumor and peritumoral edema was not possible, and this is attributed to a similar enlargement of interstitial space. It was concluded that diffusion-weighted MRI possesses a high potential for the detection of brain tumors but does not allow precise demarcation of the tumor border.

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Year:  1994        PMID: 7976585     DOI: 10.1007/978-3-7091-9334-1_92

Source DB:  PubMed          Journal:  Acta Neurochir Suppl (Wien)


  21 in total

1.  [Functional and molecular imaging of breast tumors].

Authors:  K Pinker; P Brader; G Karanikas; K El-Rabadi; W Bogner; S Gruber; M Reisegger; S Trattnig; T H Helbich
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

2.  Whole-brain N-acetylaspartate spectroscopy and diffusion tensor imaging in patients with newly diagnosed gliomas: a preliminary study.

Authors:  M Inglese; S Brown; G Johnson; M Law; E Knopp; O Gonen
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

Review 3.  Update on brain tumor imaging: from anatomy to physiology.

Authors:  S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2006-03       Impact factor: 3.825

4.  Molecular Imaging in Breast Cancer - Potential Future Aspects.

Authors:  Katja Pinker; Wolfgang Bogner; Stephan Gruber; Peter Brader; Siegfried Trattnig; Georgios Karanikas; Thomas H Helbich
Journal:  Breast Care (Basel)       Date:  2011-04-29       Impact factor: 2.860

5.  Appearance of meningiomas on diffusion-weighted images: correlating diffusion constants with histopathologic findings.

Authors:  C G Filippi; M A Edgar; A M Uluğ; J C Prowda; L A Heier; R D Zimmerman
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

6.  Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas.

Authors:  M Castillo; J K Smith; L Kwock; K Wilber
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

7.  Quantitative MR imaging and spectroscopy of brain tumours: a step forward?

Authors:  Dita Wagnerova; Vit Herynek; Alberto Malucelli; Monika Dezortova; Josef Vymazal; Dusan Urgosik; Martin Syrucek; Filip Jiru; Antonin Skoch; Robert Bartos; Martin Sames; Milan Hajek
Journal:  Eur Radiol       Date:  2012-06-12       Impact factor: 5.315

8.  Effects of perfusion on diffusion changes in human brain tumors.

Authors:  Alexander D Cohen; Peter S LaViolette; Melissa Prah; Jennifer Connelly; Mark G Malkin; Scott D Rand; Wade M Mueller; Kathleen M Schmainda
Journal:  J Magn Reson Imaging       Date:  2013-02-06       Impact factor: 4.813

9.  Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging.

Authors:  H R Arvinda; C Kesavadas; P S Sarma; B Thomas; V V Radhakrishnan; A K Gupta; T R Kapilamoorthy; S Nair
Journal:  J Neurooncol       Date:  2009-02-20       Impact factor: 4.130

Review 10.  Value of magnetic resonance imaging in prostate cancer diagnosis.

Authors:  Friedrich Aigner; Leo Pallwein; Alexandre Pelzer; Georg Schaefer; Georg Bartsch; Dieter zur Nedden; Ferdinand Frauscher
Journal:  World J Urol       Date:  2007-06-14       Impact factor: 4.226

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