Literature DB >> 23221948

Multimodal MR imaging (diffusion, perfusion, and spectroscopy): is it possible to distinguish oligodendroglial tumor grade and 1p/19q codeletion in the pretherapeutic diagnosis?

S Fellah1, D Caudal, A M De Paula, P Dory-Lautrec, D Figarella-Branger, O Chinot, P Metellus, P J Cozzone, S Confort-Gouny, B Ghattas, V Callot, N Girard.   

Abstract

BACKGROUND AND
PURPOSE: Pretherapeutic determination of tumor grade and genotype in grade II and III oligodendroglial tumors is clinically important but is still challenging. Tumor grade and 1p/19q status are currently the 2 most important factors in therapeutic decision making for patients with these tumors. Histopathology and cMRI studies are still limited in some cases. In the present study, we were interested in determining whether the combination of PWI, DWI, and MR spectroscopy could help distinguish oligodendroglial tumors according to their histopathologic grade and genotype.
MATERIALS AND METHODS: We retrospectively reviewed 50 adult patients with grade II and III oligodendrogliomas and oligoastrocytomas who had DWI, PWI, and MR spectroscopy at short and long TE data and known 1p/19q status. Univariate analyses and multivariate random forest models were performed to determine which criteria could differentiate between grades and genotypes.
RESULTS: ADC, rCBV, rCBF, and rK2 were significantly different between grade II and III oligodendroglial tumors. DWI, PWI, and MR spectroscopy showed no significant difference between tumors with and without 1p/19q loss. Separation between tumor grades and genotypes with cMRI alone showed 31% and 48% misclassification rates, respectively. Multimodal MR imaging helps to determine tumor grade and 1p/19q genotype more accurately (misclassification rates of 17% and 40%, respectively).
CONCLUSIONS: Although multimodal investigation of oligodendroglial tumors has a lower contribution to 1p/19q genotyping compared with cMRI alone, it greatly improves the accuracy of grading of these neoplasms. Use of multimodal MR imaging could thus provide valuable information that may assist clinicians in patient preoperative management and treatment decision making.

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Year:  2012        PMID: 23221948      PMCID: PMC8051487          DOI: 10.3174/ajnr.A3352

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  31 in total

1.  Alterations of chromosome arms 1p and 19q as predictors of survival in oligodendrogliomas, astrocytomas, and mixed oligoastrocytomas.

Authors:  J S Smith; A Perry; T J Borell; H K Lee; J O'Fallon; S M Hosek; D Kimmel; A Yates; P C Burger; B W Scheithauer; R B Jenkins
Journal:  J Clin Oncol       Date:  2000-02       Impact factor: 44.544

2.  Relative cerebral blood volume measurements in intracranial mass lesions: interobserver and intraobserver reproducibility study.

Authors:  Stephan G Wetzel; Soonmee Cha; Glyn Johnson; Peter Lee; Meng Law; David L Kasow; Sean D Pierce; Xiaonan Xue
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

3.  Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma.

Authors:  R K Gupta; T F Cloughesy; U Sinha; J Garakian; J Lazareff; G Rubino; L Rubino; D P Becker; H V Vinters; J R Alger
Journal:  J Neurooncol       Date:  2000-12       Impact factor: 4.130

4.  Comparison of magnetic resonance spectroscopy and perfusion-weighted imaging in presurgical grading of oligodendroglial tumors.

Authors:  Maosheng Xu; Siew Ju See; Wai Hoe Ng; Earnest Arul; Michael F Back; Tseng Tsai Yeo; C C Tchoyoson Lim
Journal:  Neurosurgery       Date:  2005-05       Impact factor: 4.654

5.  MRS of oligodendroglial tumors: correlation with histopathology and genetic subtypes.

Authors:  M D Jenkinson; T S Smith; K Joyce; D Fildes; D G du Plessis; P C Warnke; C Walker
Journal:  Neurology       Date:  2005-06-28       Impact factor: 9.910

6.  Magnetic resonance perfusion-weighted imaging defines angiogenic subtypes of oligodendroglioma according to 1p19q and EGFR status.

Authors:  Gurpreet S Kapoor; Timothy A Gocke; Sanjeev Chawla; Robert G Whitmore; Ali Nabavizadeh; Jaroslaw Krejza; Joanna Lopinto; Justin Plaum; Eileen Maloney-Wilensky; Harish Poptani; Elias R Melhem; Kevin D Judy; Donald M O'Rourke
Journal:  J Neurooncol       Date:  2009-04-09       Impact factor: 4.130

7.  Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade.

Authors:  Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2004-05       Impact factor: 3.825

8.  Arterial spin-labeling and MR spectroscopy in the differentiation of gliomas.

Authors:  S Chawla; S Wang; R L Wolf; J H Woo; J Wang; D M O'Rourke; K D Judy; M S Grady; E R Melhem; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-24       Impact factor: 3.825

Review 9.  MR spectroscopy of brain tumors.

Authors:  J Keith Smith; Mauricio Castillo; Lester Kwock
Journal:  Magn Reson Imaging Clin N Am       Date:  2003-08       Impact factor: 2.266

10.  Apparent diffusion coefficients in oligodendroglial tumors characterized by genotype.

Authors:  Michael D Jenkinson; Trevor S Smith; Andrew R Brodbelt; Kathy A Joyce; Peter C Warnke; Carol Walker
Journal:  J Magn Reson Imaging       Date:  2007-12       Impact factor: 4.813

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  40 in total

1.  Combination of diffusion tensor imaging and conventional MRI correlates with isocitrate dehydrogenase 1/2 mutations but not 1p/19q genotyping in oligodendroglial tumours.

Authors:  Ji Xiong; Wenli Tan; Jianbo Wen; Jiawei Pan; Yin Wang; Jun Zhang; Daoying Geng
Journal:  Eur Radiol       Date:  2015-09-22       Impact factor: 5.315

2.  The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.

Authors:  Tae Keun Yoo; Joon Yul Choi; Jeong Gi Seo; Bhoopalan Ramasubramanian; Sundaramoorthy Selvaperumal; Deok Won Kim
Journal:  Med Biol Eng Comput       Date:  2018-10-22       Impact factor: 2.602

3.  Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach.

Authors:  Anna Latysheva; Kyrre Eeg Emblem; Petter Brandal; Einar Osland Vik-Mo; Jens Pahnke; Kjetil Røysland; John K Hald; Andrés Server
Journal:  Neuroradiology       Date:  2019-02-02       Impact factor: 2.804

Review 4.  Genetics and imaging of oligodendroglial tumors.

Authors:  Jonathan R Ellenbogen; Carol Walker; Michael D Jenkinson
Journal:  CNS Oncol       Date:  2015-10-19

5.  MRI based texture analysis to classify low grade gliomas into astrocytoma and 1p/19q codeleted oligodendroglioma.

Authors:  Shun Zhang; Gloria Chia-Yi Chiang; Rajiv S Magge; Howard Alan Fine; Rohan Ramakrishna; Eileen Wang Chang; Tejas Pulisetty; Yi Wang; Wenzhen Zhu; Ilhami Kovanlikaya
Journal:  Magn Reson Imaging       Date:  2018-11-19       Impact factor: 2.546

6.  Regional specificity of 1p/19q co-deletion combined with radiological features for predicting the survival outcomes of anaplastic oligodendroglial tumor patients.

Authors:  Kai Wang; Yinyan Wang; Xing Fan; Yanong Li; Xing Liu; Jiangfei Wang; Lin Ai; Jianping Dai; Tao Jiang
Journal:  J Neurooncol       Date:  2017-12-11       Impact factor: 4.130

7.  Grading of oligodendroglial tumors of the brain with apparent diffusion coefficient, magnetic resonance spectroscopy, and dynamic susceptibility contrast imaging.

Authors:  Muhammad Atif Naveed; Pradeep Goyal; Ajay Malhotra; Xiang Liu; Sonali Gupta; Manisha Mangla; Rajiv Mangla
Journal:  Neuroradiol J       Date:  2018-02-22

8.  3D Pseudocontinuous Arterial Spin-Labeling MR Imaging in the Preoperative Evaluation of Gliomas.

Authors:  Q Zeng; B Jiang; F Shi; C Ling; F Dong; J Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2017-07-20       Impact factor: 3.825

9.  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

10.  The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types.

Authors:  Mériam Koob; Nadine Girard; Badih Ghattas; Slim Fellah; Sylviane Confort-Gouny; Dominique Figarella-Branger; Didier Scavarda
Journal:  J Neurooncol       Date:  2016-01-05       Impact factor: 4.130

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