Literature DB >> 19138469

Minimum apparent diffusion coefficient is significantly correlated with cellularity in medulloblastomas.

Yoji Yamashita1, Toshihiro Kumabe, Shuichi Higano, Mika Watanabe, Teiji Tominaga.   

Abstract

OBJECTIVE: On diffusion-weighted magnetic resonance (MR) images, posterior fossa tumors may exhibit the various signal intensity and apparent diffusion coefficient (ADC) reflecting their histology and cellularity. The purpose of this study was to evaluate the relationship between ADC and tumor cellularity in medulloblastoma and other posterior fossa tumors.
METHODS: Pre-operative diffusion-weighted MR images were retrospectively reviewed in 26 patients with posterior fossa neoplasms: 11 medulloblastomas, one atypical teratoid/rhabdoid tumor (AT/RT), four glioblastomas, four ependymomas, three pilocytic astrocytomas and three hemangioblastomas. The minimum ADC (minADC) value of each tumor was determined on ADC maps derived from isotropic diffusion-weighted MR images. The minADC values were compared by a two-tailed t-test. Tumor cellularity measured in surgical specimens was compared with the minADC value by simple linear regression analysis.
RESULTS: The mean minADC value of the medulloblastoma was significantly lower than those of ependymoma, pilocytic astrocytoma and hemangioblastoma without overlap in the range of minADC values. Therefore, medulloblastomas could be clearly differentiated by absolute minADC values. AT/RT and glioblastoma had similar minADC values to medulloblastoma. Tumor cellularity was negatively correlated with the minADC value in medulloblastomas and other posterior fossa tumors. DISCUSSION: The low minADC value of medulloblastomas reflects the high tumor cellularity. Analysis of ADC values has high predictive value for the differentiation of medulloblastoma from other posterior fossa tumors.

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Year:  2009        PMID: 19138469     DOI: 10.1179/174313209X382520

Source DB:  PubMed          Journal:  Neurol Res        ISSN: 0161-6412            Impact factor:   2.448


  27 in total

1.  Diffusion MRI improves the accuracy of preoperative diagnosis of common pediatric cerebellar tumors among reviewers with different experience levels.

Authors:  K Koral; S Zhang; L Gargan; W Moore; B Garvey; M Fiesta; M Seymour; L Yang; D Scott; N Choudhury
Journal:  AJNR Am J Neuroradiol       Date:  2013-06-20       Impact factor: 3.825

2.  Diffusion profiling of tumor volumes using a histogram approach can predict proliferation and further microarchitectural features in medulloblastoma.

Authors:  Stefan Schob; Anne Beeskow; Julia Dieckow; Hans-Jonas Meyer; Matthias Krause; Clara Frydrychowicz; Franz-Wolfgang Hirsch; Alexey Surov
Journal:  Childs Nerv Syst       Date:  2018-05-31       Impact factor: 1.475

3.  Diffusion imaging for tumor grading of supratentorial brain tumors in the first year of life.

Authors:  S F Kralik; A Taha; A P Kamer; J S Cardinal; T A Seltman; C Y Ho
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-07       Impact factor: 3.825

4.  Use of apparent diffusion coefficient values for diagnosis of pediatric posterior fossa tumors.

Authors:  Theodore Pierce; Peter G Kranz; Christopher Roth; Dalun Leong; Peter Wei; James M Provenzale
Journal:  Neuroradiol J       Date:  2014-04-18

Review 5.  Response assessment in medulloblastoma and leptomeningeal seeding tumors: recommendations from the Response Assessment in Pediatric Neuro-Oncology committee.

Authors:  Katherine E Warren; Gilbert Vezina; Tina Y Poussaint; Monika Warmuth-Metz; Marc C Chamberlain; Roger J Packer; Alba A Brandes; Moshe Reiss; Stewart Goldman; Michael J Fisher; Ian F Pollack; Michael D Prados; Patrick Y Wen; Susan M Chang; Christelle Dufour; David Zurakowski; Rolf D Kortmann; Mark W Kieran
Journal:  Neuro Oncol       Date:  2018-01-10       Impact factor: 12.300

6.  Apparent diffusion and fractional anisotropy of diffuse intrinsic brain stem gliomas.

Authors:  H J Chen; A Panigrahy; G Dhall; J L Finlay; M D Nelson; S Blüml
Journal:  AJNR Am J Neuroradiol       Date:  2010-07-01       Impact factor: 3.825

Review 7.  Radiological image features of the atypical teratoid/rhabdoid tumor in adults: a systematic review.

Authors:  M Kanoto; Y Toyoguchi; T Hosoya; M Kuchiki; Y Sugai
Journal:  Clin Neuroradiol       Date:  2014-01-30       Impact factor: 3.649

8.  Atypical teratoid/rhabdoid tumor (ATRT) arising from the 3rd cranial nerve in infants: a clinical-radiological entity?

Authors:  Christopher C Oh; Brent A Orr; Bruno Bernardi; Maria Luisa Garré; Andrea Rossi; Lorenzo Figà-Talamanca; Giles W Robinson; Zoltán Patay
Journal:  J Neurooncol       Date:  2015-07-07       Impact factor: 4.130

9.  Evaluation of apparent diffusion coefficient thresholds for diagnosis of medulloblastoma using diffusion-weighted imaging.

Authors:  Theodore Thomas Pierce; James M Provenzale
Journal:  Neuroradiol J       Date:  2014-02-24

10.  Bone involvement in atypical teratoid/rhabdoid tumors of the CNS.

Authors:  M Warmuth-Metz; B Bison; N U Gerber; T Pietsch; M Hasselblatt; M C Frühwald
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-16       Impact factor: 3.825

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