Glioma Image Analysis to Accurately Classify Mgmt and Predict Drug Effectiveness

Authors

  • Viraj Mehta Institution: Basis Scottsdale, Arizona, Scottsdale, Arizona 85259 Author

DOI:

https://doi.org/10.47363/JCBR/2021(3)128

Keywords:

Glioma Image, Predict Drug Effectiveness

Abstract

Glioblastoma multiforme is a deadly brain cancer with a median patient survival time of 18-24 months. A single biopsy cannot provide complete assessment of the tumor’s microenvironment, making personalized care limited. 50% of the patients do not respond to the anti-cancer drug Temozolomide(TMZ) because of the over-expression of MGMT gene. Epigenetic silencing of the MGMT gene by methylation results in decreased MGMT expression, resulting in increased sensitivity to TMZ, and longer survival. The purpose of this research is to use artificial intelligence (AI) to design a low cost methodology to determine the MGMT’s methylation status and suggest non- invasive treatment plan.

Author Biography

  • Viraj Mehta, Institution: Basis Scottsdale, Arizona, Scottsdale, Arizona 85259

    Viraj Mehta Institution: Basis Scottsdale, Arizona, Scottsdale, Arizona 85259

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Published

2021-04-09