학술논문
ADC, D, f dataset calculated through the simplified IVIM model, with MGMT promoter methylation, age, and ECOG, in 38 patients with wildtype IDH glioblastoma
Document Type
article
Author
Pejman Jabehdar Maralani; Sten Myrehaug; Hatef Mehrabian; Aimee KM Chan; Max Wintermark; Chris Heyn; John Conklin; Benjamin M. Ellingson; Saba Rahimi; Angus Z Lau; Chia-Lin Tseng; Hany Soliman; Jay Detsky; Shadi Daghighi; Julia Keith; David G. Munoz; Sunit Das; Eshetu G. Atenafu; Nir Lipsman; James Perry; Greg Stanisz; Arjun Sahgal
Source
Data in Brief, Vol 35, Iss , Pp 106950- (2021)
Subject
Language
English
ISSN
2352-3409
Abstract
Patients undergoing standard chemoradiation post-resection had MRIs at radiation planning and fractions 10 and 20 of chemoradiation. MRIs were 1.5T and 3D T2-FLAIR, pre- and post-contrast 3D T1-weighted (T1) and echo planar DWI with three b-values (0, 500, and 1000s/mm2) were acquired. T2-FLAIR was coregistered to T1C images. Non-overlapping T1 contrast-enhancing (T1C) and nonenhancing T2-FLAIR hyperintense regions were segmented, with necrotic/cystic regions, the surgical cavity, and large vessels excluded. The simplified IVIM model was used to calculate voxelwise diffusion coefficient (D) and perfusion fraction (f) maps; ADC was calculated using the natural logarithm of b = 1000 over b = 0 images. T1C and T2-FLAIR segmentations were brought into this space, and medians calculated. MGMT promoter methylation status (MGMTPMS), age at diagnosis, and Eastern Cooperative Oncology Group (ECOG) performance status were extracted from electronic medical records. The data were presented, analyzed, and described in the article, “Intravoxel incoherent motion (IVIM) modeling of diffusion MRI during chemoradiation predicts therapeutic response in IDH wildtype Glioblastoma”, published in Radiotherapy and Oncology [1].