Literature DB >> 27849434

Less Invasive Phenotype Found in Isocitrate Dehydrogenase-mutated Glioblastomas than in Isocitrate Dehydrogenase Wild-Type Glioblastomas: A Diffusion-Tensor Imaging Study.

Stephen J Price1, Kieren Allinson1, Hongxiang Liu1, Natalie R Boonzaier1, Jiun-Lin Yan1, Victoria C Lupson1, Timothy J Larkin1.   

Abstract

Purpose To explore the diffusion-tensor (DT) imaging-defined invasive phenotypes of both isocitrate dehydrogenase (IDH-1)-mutated and IDH-1 wild-type glioblastomas. Materials and Methods Seventy patients with glioblastoma were prospectively recruited and imaged preoperatively. All patients provided signed consent, and the local research ethics committee approved the study. Patients underwent surgical resection, and tumor samples underwent immunohistochemistry for IDH-1 R132H mutations. DT imaging data were coregistered to the anatomic magnetic resonance study and reconstructed to provide the anisotropic and isotropic components of the DT. The invasive phenotype was determined by using previously published criteria and correlated with IDH-1 mutation status by using the Freeman-Halton extension of the Fisher exact probability test. Results Nine patients had an IDH-1 mutation and 61 had IDH-1 wild type. All of the patients with IDH-1 mutation had a minimally invasive DT imaging phenotype. Among the IDH-1 wild-type tumors, 42 of 61 (69%) were diffusively invasive glioblastomas, 14 of 61 (23%) were locally invasive, and five of 61 (8%) were minimally invasive (P < .001). Conclusion IDH-mutated glioblastomas have a less invasive phenotype compared with IDH wild type. This finding may have implications for individualizing the extent of surgical resection and radiation therapy volumes.

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Year:  2016        PMID: 27849434     DOI: 10.1148/radiol.2016152679

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  15 in total

1.  Increased intratumoral infiltration in IDH wild-type lower-grade gliomas observed with diffusion tensor imaging.

Authors:  Eric Aliotta; Prem P Batchala; David Schiff; Beatriz M Lopes; Jason T Druzgal; Sugoto Mukherjee; Sohil H Patel
Journal:  J Neurooncol       Date:  2019-09-17       Impact factor: 4.130

Review 2.  Neuro-Oncology and Radiogenomics: Time to Integrate?

Authors:  A Lasocki; M A Rosenthal; S J Roberts-Thomson; A Neal; K J Drummond
Journal:  AJNR Am J Neuroradiol       Date:  2020-09-10       Impact factor: 3.825

3.  Resting-state fMRI detects alterations in whole brain connectivity related to tumor biology in glioma patients.

Authors:  Veit M Stoecklein; Sophia Stoecklein; Franziska Galiè; Jianxun Ren; Michael Schmutzer; Marcus Unterrainer; Nathalie L Albert; Friedrich-W Kreth; Niklas Thon; Thomas Liebig; Birgit Ertl-Wagner; Joerg-C Tonn; Hesheng Liu
Journal:  Neuro Oncol       Date:  2020-09-29       Impact factor: 12.300

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.  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

6.  Functional connectivity of the default mode, dorsal attention and fronto-parietal executive control networks in glial tumor patients.

Authors:  Mickael Tordjman; Guillaume Madelin; Pradeep Kumar Gupta; Christine Cordova; Sylvia C Kurz; Daniel Orringer; John Golfinos; Douglas Kondziolka; Yulin Ge; Ruoyu Luie Wang; Mariana Lazar; Rajan Jain
Journal:  J Neurooncol       Date:  2021-02-02       Impact factor: 4.130

7.  Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma.

Authors:  Sung Soo Ahn; Chansik An; Yae Won Park; Kyunghwa Han; Jong Hee Chang; Se Hoon Kim; Seung-Koo Lee; Soonmee Cha
Journal:  J Neurooncol       Date:  2021-06-30       Impact factor: 4.130

8.  2-Hydroxyglutarate MR spectroscopy for prediction of isocitrate dehydrogenase mutant glioma: a systemic review and meta-analysis using individual patient data.

Authors:  Chong Hyun Suh; Ho Sung Kim; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim
Journal:  Neuro Oncol       Date:  2018-11-12       Impact factor: 13.029

9.  Structural plasticity of the bilateral hippocampus in glioma patients.

Authors:  Taoyang Yuan; Jianyou Ying; Zhentao Zuo; Songbai Gui; Zhixian Gao; Guilin Li; Yazhuo Zhang; Chuzhong Li
Journal:  Aging (Albany NY)       Date:  2020-06-05       Impact factor: 5.682

Review 10.  Artificial intelligence in tumor subregion analysis based on medical imaging: A review.

Authors:  Mingquan Lin; Jacob F Wynne; Boran Zhou; Tonghe Wang; Yang Lei; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  J Appl Clin Med Phys       Date:  2021-06-24       Impact factor: 2.102

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