Literature DB >> 26016619

Detecting isocitrate dehydrogenase gene mutations in oligodendroglial tumors using diffusion tensor imaging metrics and their correlations with proliferation and microvascular density.

Ji Xiong1,2, Wen-Li Tan3, Jia-Wei Pan1, Yin Wang2, Bo Yin1, Jun Zhang1, Dao-Ying Geng1.   

Abstract

PURPOSE: Isocitrate dehydrogenase (IDH) mutations are frequently present in oligodendroglial tumors (OTs) and have prognostic value. We assessed whether diffusion tensor imaging (DTI) metrics could aid the noninvasive detection of IDH mutations and their correlations with tumor proliferation and microvascular density (MVD) in OTs.
MATERIALS AND METHODS: Ninety patients with OTs who underwent conventional magnetic resonance imaging (MRI) and DTI were retrospectively reviewed (3T). IDH mutations were determined by immunohistochemical staining or direct sequencing. MVD and cell proliferation were evaluated by immunohistochemical staining with anti-CD31 and Ki-67, respectively. The Mann-Whitney U-test was applied to each of the imaging parameters. Spearman correlation analysis and receiver operating characteristic curve analysis were performed.
RESULTS: The maximal fractional anisotropy (FA), ratio of maximal FA (rmFA), minimal ADC, and ratio of minimal (rmADC) values were demonstrated to be significantly different between the OTs with IDH1/2 mutations and those without mutations (P < 0.05). The areas under the curve (AUCs) for the maximal FA, rmFA, minimal ADC, and rmADC were 0.79, 0.82, 0.77, and 0.80, respectively. A combination rmFA and rmADC for the diagnosis of IDH1/2 mutations led to sensitivity, specificity, and AUC of 91.5%, 76.5%, and 0.86, respectively. The Ki-67 and MVD levels in the IDH-mutated samples were lower than those in the IDH wildtype cases (P < 0.05).
CONCLUSION: DTI metrics may provide a noninvasive method for assessing the IDH statuses of OTs. Significantly higher minimal ADC and lower maximal FA in OTs with IDH mutations may suggest that IDH mutations lead to proliferation inhibition and an angiogenesis decrease.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  cell proliferation; diffusion tensor imaging; isocitrate dehydrogenase gene; microvascular density; oligodendroglial tumors

Mesh:

Substances:

Year:  2015        PMID: 26016619     DOI: 10.1002/jmri.24958

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  10 in total

1.  Predicting IDH mutation status in grade II gliomas using amide proton transfer-weighted (APTw) MRI.

Authors:  Shanshan Jiang; Tianyu Zou; Charles G Eberhart; Maria A V Villalobos; Hye-Young Heo; Yi Zhang; Yu Wang; Xianlong Wang; Hao Yu; Yongxing Du; Peter C M van Zijl; Zhibo Wen; Jinyuan Zhou
Journal:  Magn Reson Med       Date:  2017-07-16       Impact factor: 4.668

2.  Predicting IDH mutation status of intrahepatic cholangiocarcinomas based on contrast-enhanced CT features.

Authors:  Yong Zhu; Jun Chen; Weiwei Kong; Liang Mao; Wentao Kong; Qun Zhou; Zhengyang Zhou; Bin Zhu; Zhongqiu Wang; Jian He; Yudong Qiu
Journal:  Eur Radiol       Date:  2017-07-27       Impact factor: 5.315

3.  Application of Distributed Parameter Model to Assessment of Glioma IDH Mutation Status by Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Zongfang Li; Wei Zhao; Bo He; Tong San Koh; Yanxi Li; Yizhen Zeng; Zhuo Zhang; Jingzhong Zhang; Zujun Hou
Journal:  Contrast Media Mol Imaging       Date:  2020-11-22       Impact factor: 3.161

Review 4.  Diffusion imaging could aid to differentiate between glioma progression and treatment-related abnormalities: a meta-analysis.

Authors:  Rik van den Elshout; Tom W J Scheenen; Chantal M L Driessen; Robert J Smeenk; Frederick J A Meijer; Dylan Henssen
Journal:  Insights Imaging       Date:  2022-10-04

5.  Noninvasively evaluating the grading and IDH1 mutation status of diffuse gliomas by three-dimensional pseudo-continuous arterial spin labeling and diffusion-weighted imaging.

Authors:  Tingting Liu; Guang Cheng; Xiaowei Kang; Yibin Xi; Yuanqiang Zhu; Kai Wang; Chao Sun; Jing Ye; Ping Li; Hong Yin
Journal:  Neuroradiology       Date:  2018-05-18       Impact factor: 2.804

6.  Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas.

Authors:  Paul Blanc-Durand; Axel Van Der Gucht; Antoine Verger; Karl-Josef Langen; Vincent Dunet; Jocelyne Bloch; Jean-Philippe Brouland; Marie Nicod-Lalonde; Niklaus Schaefer; John O Prior
Journal:  PLoS One       Date:  2018-06-28       Impact factor: 3.240

7.  Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas.

Authors:  Paul Eichinger; Esther Alberts; Claire Delbridge; Stefano Trebeschi; Alexander Valentinitsch; Stefanie Bette; Thomas Huber; Jens Gempt; Bernhard Meyer; Juergen Schlegel; Claus Zimmer; Jan S Kirschke; Bjoern H Menze; Benedikt Wiestler
Journal:  Sci Rep       Date:  2017-10-17       Impact factor: 4.379

8.  Quantitative analysis of neurite orientation dispersion and density imaging in grading gliomas and detecting IDH-1 gene mutation status.

Authors:  Jing Zhao; Ji-Bin Li; Jing-Yan Wang; Yu-Liang Wang; Da-Wei Liu; Xin-Bei Li; Yu-Kun Song; Yi-Su Tian; Xu Yan; Zhu-Hao Li; Shao-Fu He; Xiao-Long Huang; Li Jiang; Zhi-Yun Yang; Jian-Ping Chu
Journal:  Neuroimage Clin       Date:  2018-04-12       Impact factor: 4.881

Review 9.  Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors.

Authors:  Francesco Sanvito; Antonella Castellano; Andrea Falini
Journal:  Cancers (Basel)       Date:  2021-01-23       Impact factor: 6.639

10.  Structured reporting in neuro-oncological imaging: achieving reliable prediction of molecular subtypes in glioma based on pre-treatment multi-sequence MRI.

Authors:  Nico Sollmann
Journal:  Eur Radiol       Date:  2021-08-07       Impact factor: 5.315

  10 in total

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