Literature DB >> 16129247

Minimum apparent diffusion coefficients in the evaluation of brain tumors.

Omer Kitis1, Hakan Altay, Cem Calli, Nilgun Yunten, Taner Akalin, Taskin Yurtseven.   

Abstract

OBJECTIVE: To determine whether diffusion-weighted imaging by using minimum apparent diffusion coefficient (ADC(min)) values could differentiate various brain tumors including gliomas, metastases, and lymphomas.
MATERIALS AND METHODS: We examined 65 patients with histologically or clinically diagnosed brain tumors (12 low-grade gliomas, 31 high-grade gliomas, 14 metastatic tumors, and 8 lymphomas) using a 1.5 T MR unit. On diffusion-weighted imaging, the ADC(min) values were measured within the tumors and mean values were evaluated regarding statistical differences between groups.
RESULTS: The ADC(min) values of low-grade gliomas (1.09+/-0.20 x 10(-3)mm(2)/s) were significantly higher (p<.001) than those of other tumors. There were no statistical significant differences between glioblastomas (0.70+/-0.16 mm(2)/s), anaplastic astrocytomas (0.77+/-0.21 mm(2)/s), metastases (0.78+/-0.21 mm(2)/s), and lymphomas. But, lymphomas had lower mean ADC(min) values (0.54+/-0.10mm(2)/s) than high-grade gliomas and metastases.
CONCLUSION: The ADC measurements may help to differentiate low-grade gliomas from high-grade gliomas, metastases, and lymphomas. Although there is no statistical difference, lymphomas seem to have marked restriction in diffusion coefficients.

Entities:  

Mesh:

Year:  2005        PMID: 16129247     DOI: 10.1016/j.ejrad.2005.02.004

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  39 in total

1.  Combination of diffusion tensor imaging and conventional MRI correlates with isocitrate dehydrogenase 1/2 mutations but not 1p/19q genotyping in oligodendroglial tumours.

Authors:  Ji Xiong; Wenli Tan; Jianbo Wen; Jiawei Pan; Yin Wang; Jun Zhang; Daoying Geng
Journal:  Eur Radiol       Date:  2015-09-22       Impact factor: 5.315

2.  Differentiation of primary central nervous system lymphomas from high-grade gliomas by rCBV and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  Z Xing; R X You; J Li; Y Liu; D R Cao
Journal:  Clin Neuroradiol       Date:  2013-08-31       Impact factor: 3.649

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

Review 4.  "Dazed and diffused": making sense of diffusion abnormalities in neurologic pathologies.

Authors:  K M O'Connor; G Barest; T Moritani; O Sakai; A Mian
Journal:  Br J Radiol       Date:  2013-10-28       Impact factor: 3.039

5.  Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of gliomas.

Authors:  Xiaowei Chen; Jingjing Jiang; Nanxi Shen; Lingyun Zhao; Jiaxuan Zhang; Yuanyuan Qin; Shun Zhang; Li Li; Wenzhen Zhu
Journal:  Am J Transl Res       Date:  2018-08-15       Impact factor: 4.060

6.  Diagnostic performance of DWI for differentiating primary central nervous system lymphoma from glioblastoma: a systematic review and meta-analysis.

Authors:  Xiaoyang Lu; Weilin Xu; Yuyu Wei; Tao Li; Liansheng Gao; Xiongjie Fu; Yuan Yao; Lin Wang
Journal:  Neurol Sci       Date:  2019-01-31       Impact factor: 3.307

7.  The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas.

Authors:  A Hilario; A Ramos; A Perez-Nuñez; E Salvador; J M Millan; A Lagares; J M Sepulveda; P Gonzalez-Leon; A Hernandez-Lain; J R Ricoy
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-29       Impact factor: 3.825

Review 8.  Glioma recurrence versus radiation necrosis: accuracy of current imaging modalities.

Authors:  George A Alexiou; Spyridon Tsiouris; Athanasios P Kyritsis; Spyridon Voulgaris; Maria I Argyropoulou; Andreas D Fotopoulos
Journal:  J Neurooncol       Date:  2009-04-21       Impact factor: 4.130

9.  The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types.

Authors:  Mériam Koob; Nadine Girard; Badih Ghattas; Slim Fellah; Sylviane Confort-Gouny; Dominique Figarella-Branger; Didier Scavarda
Journal:  J Neurooncol       Date:  2016-01-05       Impact factor: 4.130

10.  Glioblastoma multiforme regional genetic and cellular expression patterns: influence on anatomic and physiologic MR imaging.

Authors:  Ramon F Barajas; J Graeme Hodgson; Jamie S Chang; Scott R Vandenberg; Ru-Fang Yeh; Andrew T Parsa; Michael W McDermott; Mitchel S Berger; William P Dillon; Soonmee Cha
Journal:  Radiology       Date:  2010-02       Impact factor: 11.105

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