Literature DB >> 29519793

MRI Features Can Predict 1p/19q Status in Intracranial Gliomas.

A Lasocki1,2,3, F Gaillard2, A Gorelik4,5, M Gonzales6,7.   

Abstract

BACKGROUND AND
PURPOSE: The 2016 revision of the World Health Organization Classification of Tumors of the Central Nervous System mandates codeletion of chromosomes 1p and 19q for the diagnosis of oligodendroglioma. We studied whether conventional MR imaging features could predict 1p/19q status.
MATERIALS AND METHODS: Patients with previous 1p/19q testing were identified through pathology department records, typically performed on the basis of an oligodendroglial component on routine histology; 69 patients met the inclusion criteria. Preoperative imaging of patients with grade II or III gliomas was retrospectively assessed by 2 neuroradiologists, blinded to the 1p/19q status. Thirteen MR imaging features were first assessed in a small initial cohort (n = 10), after which the criteria were narrowed for the remaining patients as a validation cohort.
RESULTS: There was 85% agreement between radiologists for the overall prediction of 1p/19q status in the validation cohort, with an accuracy of 84%. The presence of >50% T2-FLAIR mismatch and calcification was found to be the most useful for predicting 1p/19q status. The >50% T2-FLAIR mismatch variable was demonstrated in 14 tumors and had 100% specificity for identifying a noncodeleted tumor (P = .001), with 97% interobserver correlation. Calcification was visualized in 7 tumors, 6 of which were 1p/19q codeleted (specificity, 97%; P = .006), with 100% interobserver correlation.
CONCLUSIONS: The presence of >50% T2-FLAIR mismatch is highly predictive of a noncodeleted tumor, while calcifications suggest a 1p/19q codeleted tumor. If formal 1p/19q testing is not possible, a combined MR imaging-histologic assessment may improve the diagnostic accuracy over histology alone.
© 2018 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2018        PMID: 29519793     DOI: 10.3174/ajnr.A5572

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


  24 in total

1.  Prognostic Value of Preoperative MRI Metrics for Diffuse Lower-Grade Glioma Molecular Subtypes.

Authors:  P Darvishi; P P Batchala; J T Patrie; L M Poisson; M-B Lopes; R Jain; C E Fadul; D Schiff; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-23       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.  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

5.  Comparative evaluation of intracranial oligodendroglioma and astrocytoma of similar grades using conventional and T1-weighted DCE-MRI.

Authors:  Mamta Gupta; Abhinav Gupta; Virendra Yadav; Suhail P Parvaze; Anup Singh; Jitender Saini; Rana Patir; Sandeep Vaishya; Sunita Ahlawat; Rakesh Kumar Gupta
Journal:  Neuroradiology       Date:  2021-01-19       Impact factor: 2.804

6.  "Real world" use of a highly reliable imaging sign: "T2-FLAIR mismatch" for identification of IDH mutant astrocytomas.

Authors:  Rajan Jain; Derek R Johnson; Sohil H Patel; Mauricio Castillo; Marion Smits; Martin J van den Bent; Andrew S Chi; Daniel P Cahill
Journal:  Neuro Oncol       Date:  2020-07-07       Impact factor: 12.300

7.  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

Review 8.  Polymorphous Low-Grade Neuroepithelial Tumor of the Young as a Partially Calcified Intra-Axial Mass in an Adult.

Authors:  J C Benson; D Summerfield; C Carr; P Cogswell; S Messina; J V Gompel; K Welker
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-26       Impact factor: 3.825

9.  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

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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