Literature DB >> 28988652

Morphologic patterns of noncontrast-enhancing tumor in glioblastoma correlate with IDH1 mutation status and patient survival.

Arian Lasocki1, Frank Gaillard2, Mark Tacey3, Katharine Drummond4, Stephen Stuckey5.   

Abstract

Glioblastomas with a substantial proportion of noncontrast-enhancing tumour (nCET) have a variety of imaging appearances. We aimed to determine whether glioblastomas demonstrating a substantial proportion (>33%) of nCET can be sub-classified by different morphologic pattern of nCET. We then assessed whether this improves the ability of MRI to predict isocitrate dehydrogenase-1 (IDH1) mutation status and whether this has prognostic significance independent of IDH1 mutation status. Pre-operative MRIs of patients with a new diagnosis of glioblastoma were reviewed. Tumours with >33% nCET were sub-classified by the dominant morphologic pattern of nCET: mass-like expansion, white matter dissemination, grey matter dissemination or a combination. IDH1 mutation status (by immunohistochemistry) and survival were compared for each pattern. 153 patients met the inclusion criteria, of whom 34 patients demonstrated >33% nCET. 10 patients had a significant mass-like component, either as the dominant pattern (n=4) or as part of a mixed pattern (n=6). The 10 patients with a significant mass-like component had longer survival than those without (median 387days, compared to 241days), though this was not statistically significant (p=0.242). Three patients had R132H-IDH1 mutations and >33% nCET, and all three had a mass-like component. Using the presence of a mass-like component of nCET for predicting IDH1 mutation status improved the positive predictive value, specificity and overall accuracy of MRI. Classification of nCET by morphologic pattern improves the ability of MRI to predict IDH1 mutations and may provide useful prognostic information.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  FLAIR; Glioblastoma; Glioma; IDH1; Magnetic Resonance Imaging

Mesh:

Substances:

Year:  2017        PMID: 28988652     DOI: 10.1016/j.jocn.2017.09.007

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  8 in total

Review 1.  Non-Contrast-Enhancing Tumor: A New Frontier in Glioblastoma Research.

Authors:  A Lasocki; F Gaillard
Journal:  AJNR Am J Neuroradiol       Date:  2019-04-04       Impact factor: 3.825

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.  Conventional MRI features of adult diffuse glioma molecular subtypes: a systematic review.

Authors:  Arian Lasocki; Mustafa Anjari; Suna Ӧrs Kokurcan; Stefanie C Thust
Journal:  Neuroradiology       Date:  2020-08-25       Impact factor: 2.804

4.  Gyriform infiltration as imaging biomarker for molecular glioblastomas.

Authors:  Emmanuel Mesny; Marc Barritault; Cristina Izquierdo; Delphine Poncet; Anne d'Hombres; Jacques Guyotat; Emmanuel Jouanneau; Roxana Ameli; Jérôme Honnorat; David Meyronet; François Ducray
Journal:  J Neurooncol       Date:  2022-04-01       Impact factor: 4.506

5.  Plasma and cerebrospinal fluid pharmacokinetics of the DNA methyltransferase inhibitor, 5-azacytidine, alone and with inulin, in nonhuman primate models.

Authors:  Cynthia Lester McCully; Louis T Rodgers; Rafael Cruz; Marvin L Thomas; Cody J Peer; William D Figg; Katherine E Warren
Journal:  Neurooncol Adv       Date:  2020-01-01

6.  The TERT promoter mutation status and MGMT promoter methylation status, combined with dichotomized MRI-derived and clinical features, predict adult primary glioblastoma survival.

Authors:  Chang Shu; Qiong Wang; Xiaoling Yan; Jinhuan Wang
Journal:  Cancer Med       Date:  2018-07-09       Impact factor: 4.452

7.  A novel radiological classification system for cerebral gliomas: The Brain-Grid.

Authors:  Francesco Latini; Markus Fahlström; Shala G Berntsson; Elna-Marie Larsson; Anja Smits; Mats Ryttlefors
Journal:  PLoS One       Date:  2019-01-24       Impact factor: 3.240

Review 8.  Clinical outcomes as a function of the number of samples taken during stereotactic needle biopsies: a meta-analysis.

Authors:  Sanjay Dhawan; Andrew S Venteicher; William E Butler; Bob S Carter; Clark C Chen
Journal:  J Neurooncol       Date:  2021-07-12       Impact factor: 4.130

  8 in total

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