Brown Digital Repository | Item

Full Metadata

Overview

Year:: 2023
Contributor:: Harrison, Jono (Author); Clark, Matthew (Author); Lok, Edwin (Author); Wong, Eric MD (Author); Brown University. Alpert Medical School. Scholarly Concentration Program. Medical Technology, Innovation and Entrepreneurship (research program)
Subject:: Artificial intelligence--Medical applications; Neurology; Glioblastoma multiforme; Finite element method; Oncology

Files

Description

Abstract:: Glioblastoma (GBM) is a Grade IV malignancy originating from glial progenitor cells and comprises about half of all primary malignant brain tumors. GBM has a high mortality with a 2-year survival rate of 18%, 3 year survival rate of 11%, and 5 year survival rate of 5%. In 2015, the FDA approved tumor treating fields (TTF), a clinical treatment which utilizes electrical transducer arrays to impair tumor cell mitosis TTF provides superior survival outcomes compared to conventional chemotherapy with the added benefit of a significant decrease in the frequency and intensity of adverse reactions such as vomiting, nausea, constipation, diarrhea, anorexia, pain, and fatigue. It is currently unknown how patient-specific neuroanatomy affects electrical field delivery and whether there is a dose-response relationship that corresponds to marked improvements in patient survival. In this project, I hope to optimize a semi-automatic workflow utilizing MRI segmentation and finite element analysis to assess whether a dose-response relationship exists in GBM TTF therapy. The goal for this SC project is to generate mesh contours for 6 patients: comparing 3 that responded to treatment and 3 that did not. In this poster, I present the methodology for contouring one patient.
Notes:: Scholarly concentration: Medical Technology, Innovation and Entrepreneurship

Content

Access Conditions

Use and Reproduction: All rights reserved
Rights: In Copyright
Restrictions on Use: All Rights Reserved

Citation

Harrison, Jono, Clark, Matthew, Lok, Edwin, et al., "MRI Segmentation of Patient-Specific Anatomy to Assess Treatment Efficacy of Tumor Treating Fields for Glioblastoma" (2023). Warren Alpert Medical School Academic Symposium. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:gu5h6r7g/

Relations

Collection:

Warren Alpert Medical School Academic Symposium

The Warren Alpert Medical School Academic Symposium is an annual event at Warren Alpert Medical School of Brown University that provides Year II medical students a venue to present their summer research in a poster format. Participation in the Symposium …
...

MRI Segmentation of Patient-Specific Anatomy to Assess Treatment Efficacy of Tumor Treating Fields for Glioblastoma