Literature DB >> 28871469

Imaging correlates for the 2016 update on WHO classification of grade II/III gliomas: implications for IDH, 1p/19q and ATRX status.

Rachel L Delfanti1,2, David E Piccioni3, Jason Handwerker4, Naeim Bahrami5, AnithaPriya Krishnan5, Roshan Karunamuni6, Jona A Hattangadi-Gluth6, Tyler M Seibert5,6, Ashwin Srikant5, Karra A Jones7, Vivian S Snyder8, Anders M Dale4,3,5, Nathan S White4,5, Carrie R McDonald5,6,9, Nikdokht Farid4,5.   

Abstract

The 2016 World Health Organization Classification of Tumors of the Central Nervous System incorporates the use of molecular information into the classification of brain tumors, including grade II and III gliomas, providing new prognostic information that cannot be delineated based on histopathology alone. We hypothesized that these genomic subgroups may also have distinct imaging features. A retrospective single institution study was performed on 40 patients with pathologically proven infiltrating WHO grade II/III gliomas with a pre-treatment MRI and molecular data on IDH, chromosomes 1p/19q and ATRX status. Two blinded Neuroradiologists qualitatively assessed MR features. The relationship between each parameter and molecular subgroup (IDH-wildtype; IDH-mutant-1p/19q codeleted-ATRX intact; IDH-mutant-1p/19q intact-ATRX loss) was evaluated with Fisher's exact test. Progression free survival (PFS) was also analyzed. A border that could not be defined on FLAIR was most characteristic of IDH-wildtype tumors, whereas IDH-mutant tumors demonstrated either well-defined or slightly ill-defined borders (p = 0.019). Degree of contrast enhancement and presence of restricted diffusion did not distinguish molecular subgroups. Frontal lobe predominance was associated with IDH-mutant tumors (p = 0.006). The IDH-wildtype subgroup had significantly shorter PFS than the IDH-mutant groups (p < 0.001). No differences in PFS were present when separating by tumor grade. FLAIR border patterns and tumor location were associated with distinct molecular subgroups of grade II/III gliomas. These imaging features may provide fundamental prognostic and predictive information at time of initial diagnostic imaging.

Entities:  

Keywords:  Grade II/III gliomas; IDH mutation; Lower grade gliomas; MRI; Neuroradiology; Radiogenomics

Mesh:

Substances:

Year:  2017        PMID: 28871469      PMCID: PMC5700844          DOI: 10.1007/s11060-017-2613-7

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  32 in total

1.  Mutational landscape and clonal architecture in grade II and III gliomas.

Authors:  Hiromichi Suzuki; Kosuke Aoki; Kenichi Chiba; Yusuke Sato; Yusuke Shiozawa; Yuichi Shiraishi; Teppei Shimamura; Atsushi Niida; Kazuya Motomura; Fumiharu Ohka; Takashi Yamamoto; Kuniaki Tanahashi; Melissa Ranjit; Toshihiko Wakabayashi; Tetsuichi Yoshizato; Keisuke Kataoka; Kenichi Yoshida; Yasunobu Nagata; Aiko Sato-Otsubo; Hiroko Tanaka; Masashi Sanada; Yutaka Kondo; Hideo Nakamura; Masahiro Mizoguchi; Tatsuya Abe; Yoshihiro Muragaki; Reiko Watanabe; Ichiro Ito; Satoru Miyano; Atsushi Natsume; Seishi Ogawa
Journal:  Nat Genet       Date:  2015-04-13       Impact factor: 38.330

Review 2.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

3.  Molecular classification of anaplastic oligodendroglioma using next-generation sequencing: a report of the prospective randomized EORTC Brain Tumor Group 26951 phase III trial.

Authors:  Hendrikus J Dubbink; Peggy N Atmodimedjo; Johan M Kros; Pim J French; Marc Sanson; Ahmed Idbaih; Pieter Wesseling; Roelien Enting; Wim Spliet; Cees Tijssen; Winand N M Dinjens; Thierry Gorlia; Martin J van den Bent
Journal:  Neuro Oncol       Date:  2015-09-09       Impact factor: 12.300

4.  IDH mutation status and role of WHO grade and mitotic index in overall survival in grade II-III diffuse gliomas.

Authors:  Adriana Olar; Khalida M Wani; Kristin D Alfaro-Munoz; Lindsey E Heathcock; Hinke F van Thuijl; Mark R Gilbert; Terri S Armstrong; Erik P Sulman; Daniel P Cahill; Elizabeth Vera-Bolanos; Ying Yuan; Jaap C Reijneveld; Bauke Ylstra; Pieter Wesseling; Kenneth D Aldape
Journal:  Acta Neuropathol       Date:  2015-02-21       Impact factor: 17.088

5.  Histological growth patterns and genotype in oligodendroglial tumours: correlation with MRI features.

Authors:  Michael D Jenkinson; Daniel G du Plessis; Trevor S Smith; Kathy A Joyce; Peter C Warnke; Carol Walker
Journal:  Brain       Date:  2006-05-02       Impact factor: 13.501

6.  Phase III trial of chemoradiotherapy for anaplastic oligodendroglioma: long-term results of RTOG 9402.

Authors:  Gregory Cairncross; Meihua Wang; Edward Shaw; Robert Jenkins; David Brachman; Jan Buckner; Karen Fink; Luis Souhami; Normand Laperriere; Walter Curran; Minesh Mehta
Journal:  J Clin Oncol       Date:  2012-10-15       Impact factor: 44.544

7.  Molecular genetic analysis of oligodendroglial tumors shows preferential allelic deletions on 19q and 1p.

Authors:  J Reifenberger; G Reifenberger; L Liu; C D James; W Wechsler; V P Collins
Journal:  Am J Pathol       Date:  1994-11       Impact factor: 4.307

8.  Isocitrate dehydrogenase 1 codon 132 mutation is an important prognostic biomarker in gliomas.

Authors:  Marc Sanson; Yannick Marie; Sophie Paris; Ahmed Idbaih; Julien Laffaire; François Ducray; Soufiane El Hallani; Blandine Boisselier; Karima Mokhtari; Khe Hoang-Xuan; Jean-Yves Delattre
Journal:  J Clin Oncol       Date:  2009-07-27       Impact factor: 44.544

9.  IDH1 mutations are early events in the development of astrocytomas and oligodendrogliomas.

Authors:  Takuya Watanabe; Sumihito Nobusawa; Paul Kleihues; Hiroko Ohgaki
Journal:  Am J Pathol       Date:  2009-02-26       Impact factor: 4.307

10.  IDH mutation, 1p19q codeletion and ATRX loss in WHO grade II gliomas.

Authors:  Heather E Leeper; Alissa A Caron; Paul A Decker; Robert B Jenkins; Daniel H Lachance; Caterina Giannini
Journal:  Oncotarget       Date:  2015-10-06
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  25 in total

1.  Edge Contrast of the FLAIR Hyperintense Region Predicts Survival in Patients with High-Grade Gliomas following Treatment with Bevacizumab.

Authors:  N Bahrami; D Piccioni; R Karunamuni; Y-H Chang; N White; R Delfanti; T M Seibert; J A Hattangadi-Gluth; A Dale; N Farid; C R McDonald
Journal:  AJNR Am J Neuroradiol       Date:  2018-04-05       Impact factor: 3.825

2.  A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas.

Authors:  Chandan Ganesh Bangalore Yogananda; Bhavya R Shah; Maryam Vejdani-Jahromi; Sahil S Nalawade; Gowtham K Murugesan; Frank F Yu; Marco C Pinho; Benjamin C Wagner; Bruce Mickey; Toral R Patel; Baowei Fei; Ananth J Madhuranthakam; Joseph A Maldjian
Journal:  Neuro Oncol       Date:  2020-03-05       Impact factor: 12.300

3.  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

4.  A nomogram strategy for identifying the subclassification of IDH mutation and ATRX expression loss in lower-grade gliomas.

Authors:  Shiman Wu; Xi Zhang; Wenting Rui; Yaru Sheng; Yang Yu; Yong Zhang; Zhenwei Yao; Tianming Qiu; Yan Ren
Journal:  Eur Radiol       Date:  2022-02-08       Impact factor: 5.315

5.  Neuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade Gliomas.

Authors:  P P Batchala; T J E Muttikkal; J H Donahue; J T Patrie; D Schiff; C E Fadul; E K Mrachek; M-B Lopes; R Jain; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2019-01-31       Impact factor: 3.825

6.  Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.

Authors:  Céline De Looze; Alan Beausang; Jane Cryan; Teresa Loftus; Patrick G Buckley; Michael Farrell; Seamus Looby; Richard Reilly; Francesca Brett; Hugh Kearney
Journal:  J Neurooncol       Date:  2018-05-16       Impact factor: 4.130

7.  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

8.  Molecular classification of patients with grade II/III glioma using quantitative MRI characteristics.

Authors:  Naeim Bahrami; Stephen J Hartman; Yu-Hsuan Chang; Rachel Delfanti; Nathan S White; Roshan Karunamuni; Tyler M Seibert; Anders M Dale; Jona A Hattangadi-Gluth; David Piccioni; Nikdokht Farid; Carrie R McDonald
Journal:  J Neurooncol       Date:  2018-06-02       Impact factor: 4.130

9.  Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning.

Authors:  Sahil Nalawade; Gowtham K Murugesan; Maryam Vejdani-Jahromi; Ryan A Fisicaro; Chandan G Bangalore Yogananda; Ben Wagner; Bruce Mickey; Elizabeth Maher; Marco C Pinho; Baowei Fei; Ananth J Madhuranthakam; Joseph A Maldjian
Journal:  J Med Imaging (Bellingham)       Date:  2019-12-10

10.  Noninvasive Determination of IDH and 1p19q Status of Lower-grade Gliomas Using MRI Radiomics: A Systematic Review.

Authors:  A P Bhandari; R Liong; J Koppen; S V Murthy; A Lasocki
Journal:  AJNR Am J Neuroradiol       Date:  2020-11-26       Impact factor: 3.825

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