Literature DB >> 11868090

Tuberous sclerosis: diffusion MRI findings in the brain.

R N Sener1.   

Abstract

Diffusion MRI has mainly been used for detection of acute ischemia, and for distinction of cytotoxic and vasogenic edema. We applied diffusion MRI in patients with tuberous sclerosis in order to evaluate diffusion imaging characteristics of parenchymal changes. Five children with known tuberous sclerosis were included in this study. The MRI examinations were performed on a 1.5-T MR unit. Diffusion MRI was obtained using the echo-planar imaging sequence. Apparent diffusion coefficient (ADC) values from the abnormal brain parenchyma were calculated directly from automatically generated ADC maps. Seven normal children were available for comparison. In this control group the mean ADC value of the normal white matter was 0.84 +/- 0.12 x 10(-3) mm(2)/s. In tuberous sclerosis patients the mean ADC value of the white matter hamartomas ( n=20) was apparently high (1.52 +/- 0.24 x 10(-3) mm(2)/s) compared with that of normal white matter. The ADC value of calcified hamartomas was "zero". The ADC value within a giant cell tumor was 0.89 x 10(-3) mm(2)/s, similar to that of normal cerebral white matter. The ADC maps were superior to b=1000 s/mm(2) (true diffusion) images with respect to lesion evaluation, and they provided mathematical information on tissue integrity. With respect to detection of the exact numbers and sizes of the parenchymal hamartomas fluid-attenuated inversion recovery images were superior to ADC maps. It is believed that diffusion MRI can be useful in evaluation of various parenchymal changes associated with tuberous sclerosis. Further studies on tuberous sclerosis, and on various brain lesions, would provide increasing data on this relatively new MRI sequence.

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Year:  2001        PMID: 11868090     DOI: 10.1007/s003300101029

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  8 in total

1.  MRI findings reveal three different types of tubers in patients with tuberous sclerosis complex.

Authors:  Anne Gallagher; Ellen P Grant; Neel Madan; Delma Y Jarrett; David A Lyczkowski; Elizabeth A Thiele
Journal:  J Neurol       Date:  2010-03-30       Impact factor: 4.849

2.  Diffusion tensor imaging of commissural and projection white matter in tuberous sclerosis complex and correlation with tuber load.

Authors:  G Simao; C Raybaud; S Chuang; C Go; O C Snead; Elysa Widjaja
Journal:  AJNR Am J Neuroradiol       Date:  2010-03-04       Impact factor: 3.825

3.  Diffusion tensor imaging in children and adolescents with tuberous sclerosis.

Authors:  Demet Karadag; Hans-J Mentzel; Daniel Güllmar; Tina Rating; Ulrike Löbel; Ulrich Brandl; Jürgen R Reichenbach; Werner A Kaiser
Journal:  Pediatr Radiol       Date:  2005-06-14

4.  Diffusion tensor imaging and related techniques in tuberous sclerosis complex: review and future directions.

Authors:  Jurriaan M Peters; Maxime Taquet; Anna K Prohl; Benoit Scherrer; Agnies M van Eeghen; Sanjay P Prabhu; Mustafa Sahin; Simon K Warfield
Journal:  Future Neurol       Date:  2013-09

5.  Magnetic resonance imaging and diffusion-weighted imaging of normal-appearing white matter in children and young adults with tuberous sclerosis complex.

Authors:  Sahayini Arulrajah; Gulhan Ertan; Lori Jordan; Aylin Tekes; Elizabeth Khaykin; Izlem Izbudak; Thierry A G M Huisman
Journal:  Neuroradiology       Date:  2009-07-15       Impact factor: 2.804

6.  Cerebral diffusion tensor images in children with tuberous sclerosis: a preliminary report.

Authors:  Steven Shinn-Forng Peng; Wang-Tso Lee; Yao Hung Wang; Kou-Mou Huang
Journal:  Pediatr Radiol       Date:  2004-03-17

7.  The neuroanatomical phenotype of tuberous sclerosis complex: focus on radial migration lines.

Authors:  Agnies M van Eeghen; Laura Ortiz Terán; Jason Johnson; Margaret B Pulsifer; Elizabeth A Thiele; Paul Caruso
Journal:  Neuroradiology       Date:  2013-05-05       Impact factor: 2.804

8.  White matter microstructural changes in tuberous sclerosis: Evaluation by neurite orientation dispersion and density imaging (NODDI) and diffusion tensor images.

Authors:  Toshiaki Taoka; Noriko Aida; Yuta Fujii; Kazushi Ichikawa; Hisashi Kawai; Toshiki Nakane; Rintaro Ito; Shinji Naganawa
Journal:  Sci Rep       Date:  2020-01-16       Impact factor: 4.379

  8 in total

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