Introduction The new brain tumor classification (2016 WHO) distinguishes diffuse glioma based on their molecular characteristics of isocitrate dehydroge- nase (IDH) in IDH-mutant, IDH-wild type and IDH NOS (not otherwise specified). The evaluation of IDH mutation status has diagnostic, prog- nostic and therapeutic implications. The aim of this study was to evaluate whether the analysis of ADC maps can non-invasively predict the IDH mutation status. Materials Conventional MR images and ADC maps of 28 patients (11-F, 17-M) with histological confirmed diffuse high-grade glioma (WHO-grade III- IV) were reviewed and correlated with the IDH mutation status (18-MUT, 10-WT). MRI was performed on a 1.5T MR scan (GE-Optima 450). In order to place the ROIs on the solid components of the lesion, the ADC maps were elaborated and co-registered with the T2-w and Gd-enhanced T1-w images. For each tumor 4-5 ROIs were placed and the mean ADC- values (ADCmean) were calculated, choosing the lowest values for each patient. The comparison of the ADCmean values between IDH-MUT and IDH-WT was performed using the Student's "t" test, considering signifi- cant a value of p <0.05. Results The ADCmean values in IDH-WT patients (0.86x10-3mm2/s +/- 0.06) were lower than those of IDH-MUT patients (1.24x10-3mm2 /s +/- 0.19) and the difference between both groups was statistically significant (p <0.01). The value of ADC ≥ 1.01 x10-3mm2/s can be considered as a "cut-off" value to differentiate the IDH mutation status. Conclusions Adding quantitative data such as evaluation of ADC-values to conven- tional MR imaging can be used as a non-invasive marker of specific molecular patterns.

ADC maps in non invasive characterization of IDH mutation status in high grade glioma

Feraco P
Writing – Review & Editing
;
2018

Abstract

Introduction The new brain tumor classification (2016 WHO) distinguishes diffuse glioma based on their molecular characteristics of isocitrate dehydroge- nase (IDH) in IDH-mutant, IDH-wild type and IDH NOS (not otherwise specified). The evaluation of IDH mutation status has diagnostic, prog- nostic and therapeutic implications. The aim of this study was to evaluate whether the analysis of ADC maps can non-invasively predict the IDH mutation status. Materials Conventional MR images and ADC maps of 28 patients (11-F, 17-M) with histological confirmed diffuse high-grade glioma (WHO-grade III- IV) were reviewed and correlated with the IDH mutation status (18-MUT, 10-WT). MRI was performed on a 1.5T MR scan (GE-Optima 450). In order to place the ROIs on the solid components of the lesion, the ADC maps were elaborated and co-registered with the T2-w and Gd-enhanced T1-w images. For each tumor 4-5 ROIs were placed and the mean ADC- values (ADCmean) were calculated, choosing the lowest values for each patient. The comparison of the ADCmean values between IDH-MUT and IDH-WT was performed using the Student's "t" test, considering signifi- cant a value of p <0.05. Results The ADCmean values in IDH-WT patients (0.86x10-3mm2/s +/- 0.06) were lower than those of IDH-MUT patients (1.24x10-3mm2 /s +/- 0.19) and the difference between both groups was statistically significant (p <0.01). The value of ADC ≥ 1.01 x10-3mm2/s can be considered as a "cut-off" value to differentiate the IDH mutation status. Conclusions Adding quantitative data such as evaluation of ADC-values to conven- tional MR imaging can be used as a non-invasive marker of specific molecular patterns.
2018
ESNR 2018 - 41st Annual Meeting of the European Society of Neuroradiology – Diagnostic and Interventional
S486
S487
Feraco P, Gatti F, Porretti G, Mattiuzzi A, Piccinini S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/712743
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