ADC, D, f dataset calculated through the simplified IVIM model, with MGMT promoter methylation, age, and ECOG, in 38 patients with wildtype IDH glioblastoma

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

doi:10.1016/j.dib.2021.106950

ADC, D, f dataset calculated through the simplified IVIM model, with MGMT promoter methylation, age, and ECOG, in 38 patients with wildtype IDH glioblastoma

Data Brief. 2021 Mar 15:35:106950. doi: 10.1016/j.dib.2021.106950. eCollection 2021 Apr.

Authors

Pejman Jabehdar Maralani¹, Sten Myrehaug², Hatef Mehrabian², Aimee Km Chan¹, Max Wintermark³, Chris Heyn¹, John Conklin⁴, Benjamin M Ellingson⁵, Saba Rahimi⁶, Angus Z Lau⁷, Chia-Lin Tseng², Hany Soliman², Jay Detsky², Shadi Daghighi¹, Julia Keith⁸, David G Munoz⁸, Sunit Das⁹, Eshetu G Atenafu¹⁰, Nir Lipsman⁹, James Perry¹¹, Greg Stanisz⁷, Arjun Sahgal²

Affiliations

¹ Department of Medical Imaging, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada.
² Department of Radiation Oncology, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada.
³ Department of Radiology, Stanford University, Stanford, CA, United States.
⁴ Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.
⁵ Department of Radiological Sciences and Psychiatry, University of California Los Angeles, Los Angeles, CA, United States.
⁶ Department of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
⁷ Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.
⁸ Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
⁹ Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, ON, Canada.
¹⁰ Department of Biostatistics, University Health Network, Toronto, ON, Canada.
¹¹ Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada.

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 (MGMT_PMS), 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].

Keywords: ADC; Diffusion coefficient; Glioblastoma; Overall survival; Perfusion fraction; Progression free survival; Recurrence; Simplified IVIM.

Grants and funding

P50 CA211015/CA/NCI NIH HHS/United States