Computational Neuro-oncology: Leveraging the Power of Neuroinformatics to Enhance Diagnosis, Prognosis, and Neurosurgical Planning in the Treatment of Brain Tumors

Computational Neuro-oncology: Leveraging the Power of Neuroinformatics to Enhance Diagnosis, Prognosis, and Neurosurgical Planning in the Treatment of Brain Tumors

Christos Davatzikos, PhD, Director of the Center for Biomedical Image Computing and Analytics at Penn Medicine, describes the computational information sciences and their application to neuroimaging as a way to analyze biomarkers and predict tumor infiltration, future recurrence of cancer in the brain and survival. Dr. Davatzikos then explores the complex imaging pattern analysis and mathematical models used to predict a variety of factors relevant to prognosis and treatment, including survival and glioblastoma tumor subtype, and closes by examining the statistical atlas of spatial distribution of MRI signals in Alzheimer's disease and glioblastoma tumors.

 

 

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Published

September 20, 2016

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Penn Physician VideoLink