Currently, most CNS tumors require tissue sampling to discern their molecular/genomic
landscape. However, growing research has shown the powerful role imaging can play in …

The current era of advanced computing has allowed for the development and
implementation of the field of radiomics. In pediatric neuro-oncology, radiomics has been …

Background: Artificial intelligence (AI) and machine learning (ML) algorithms are on the
tremendous rise for being incorporated into the field of neurosurgery. AI and ML algorithms …

Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and
neuro-oncological disease. Employing multi-parametric MRI techniques, such as …

Objective: Image-based prediction of molecular subgroups of Medulloblastoma (MB) has the
potential to optimize and personalize therapy. The objective of the study is to distinguish …

Medulloblastoma, the most common malignant primary brain tumor in children, is now
considered to comprise of four distinct molecular subgroups—wingless (WNT), sonic …

Medulloblastoma is a highly aggressive “small round blue cell tumor” of the posterior fossa
predominantly seen in children. Historically aggressive multimodality regimens have …

Purpose Imaging features are known to reflect inherent disease biology in various cancers
including brain tumors. We report on the prognostic impact of magnetic resonance imaging …

Neeraj Chaudhary is a surgeon scientist and a professor of neurointerventional radiology
and neuroimaging at Michigan Medicine. He has authored more than 200 academic …

BACKGROUND: Medulloblastoma (MB) are the most common malignant brain tumor in
childhood. Developmental gene expression data supported by neuroradiological studies …