Literature DB >> 27367599

Noninvasively detecting Isocitrate dehydrogenase 1 gene status in astrocytoma by dynamic susceptibility contrast MRI.

WenLi Tan1, Ji Xiong2, WeiYuan Huang3, JinSong Wu4, SongHua Zhan1, DaoYing Geng5.   

Abstract

PURPOSE: To investigate the value of dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) in the noninvasive evaluation of isocitrate dehydrogenase (IDH) 1 gene status in astrocytoma.
MATERIALS AND METHODS: The preoperative DSC MRI data of 91 lesions with pathologically confirmed astrocytoma were retrospectively analyzed. MR examination was performed on a 3T MRI scanner. The normalized maximum ratios of relative cerebral blood volume (rCBV ratio) of tumor parenchyma were measured. The enrolled astrocytoma patients were divided into six groups according to the World Health Organization (WHO) classification method and IDH1 gene status. The differences in the rCBV ratio of tumor parenchyma between the IDH1 gene mutant and wildtype groups of WHO grade II, III, and IV were compared and plotted receiver operating characteristic (ROC) curves were drawn.
RESULTS: The IDH1 gene mutant and wildtype groups of WHO grade II, III, and IV astrocytoma showed differences in the rCBV ratio (P = 0.005, 0.045, and 0.005, respectively). In WHO grade II, III, and IV astrocytoma, the area under the ROC curve was respectively 0.83, 0.86, and 0.94. The cutoff value of the rCBV ratio was respectively 2.20, 3.14, and 5.63.
CONCLUSION: The rCBV ratio value provided by DSC MRI provides a new potential imaging method for the noninvasive evaluation of the IDH1 status in astrocytoma. LEVEL OF EVIDENCE: 3 J. Magn. Reson. Imaging 2017;45:492-499.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  astrocytoma; dynamic susceptibility contrast; isocitrate dehydrogenase 1 gene; magnetic resonance imaging

Mesh:

Substances:

Year:  2016        PMID: 27367599     DOI: 10.1002/jmri.25358

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


  22 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

Review 3.  Conventional and advanced imaging throughout the cycle of care of gliomas.

Authors:  Gilles Reuter; Martin Moïse; Wolfgang Roll; Didier Martin; Arnaud Lombard; Félix Scholtes; Walter Stummer; Eric Suero Molina
Journal:  Neurosurg Rev       Date:  2021-01-07       Impact factor: 3.042

4.  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

5.  Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI.

Authors:  E Aliotta; H Nourzadeh; P P Batchala; D Schiff; M B Lopes; J T Druzgal; S Mukherjee; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-14       Impact factor: 3.825

6.  Perfusion and diffusion MRI signatures in histologic and genetic subtypes of WHO grade II-III diffuse gliomas.

Authors:  Kevin Leu; Garrett A Ott; Albert Lai; Phioanh L Nghiemphu; Whitney B Pope; William H Yong; Linda M Liau; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2017-05-25       Impact factor: 4.130

7.  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

8.  Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis.

Authors:  Chong Hyun Suh; Ho Sung Kim; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim
Journal:  Eur Radiol       Date:  2018-07-12       Impact factor: 5.315

Review 9.  Conventional and advanced magnetic resonance imaging in patients with high-grade glioma.

Authors:  Whitney B Pope; Garth Brandal
Journal:  Q J Nucl Med Mol Imaging       Date:  2018-04-26       Impact factor: 2.346

10.  Fluid attenuation in non-contrast-enhancing tumor (nCET): an MRI Marker for Isocitrate Dehydrogenase (IDH) mutation in Glioblastoma.

Authors:  Sohil H Patel; Prem P Batchala; Thomas J Eluvathingal Muttikkal; Sergio S Ferrante; James T Patrie; Camilo E Fadul; David Schiff; M Beatriz Lopes; Rajan Jain
Journal:  J Neurooncol       Date:  2021-03-04       Impact factor: 4.130

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.