  Glioblastoma is a common brain malignancy that tends to occur in older adults
and is almost always lethal. The effectiveness of chemotherapy, being the
standard treatment for most cancer types, can be improved if a particular
genetic sequence in the tumor known as MGMT promoter is methylated. However, to
identify the state of the MGMT promoter, the conventional approach is to
perform a biopsy for genetic analysis, which is time and effort consuming. A
couple of recent publications proposed a connection between the MGMT promoter
state and the MRI scans of the tumor and hence suggested the use of deep
learning models for this purpose. Therefore, in this work, we use one of the
most extensive datasets, BraTS 2021, to study the potency of employing deep
learning solutions, including 2D and 3D CNN models and vision transformers.
After conducting a thorough analysis of the models' performance, we concluded
that there seems to be no connection between the MRI scans and the state of the
MGMT promoter.
