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VISE Fall Seminar – Dan Brown, MD and Brett Byram, PhD

Posted by on Friday, September 6, 2019 in News.

VISE Fall Seminar
to be led by

Daniel B. Brown, MD
Director of Interventional Oncology,
Vanderbilt University Medical Center


Brett Byram, PhD
Assistant Professor of Biomedical Engineering,
Vanderbilt University

Date: Thursday, September 26
Time: 12:15 p.m. lunch, 12:25 p.m. start
Location: Stevenson Center 5326

Personalizing Interventional Oncology Options for Hepatocellular Carcinoma

Responses to treatments for Hepatocellular Carcinoma vary greatly. As a result, algorithms to restate and retreat patients are largely one size fits all. Being able to accurately estimate response to therapy from intra-procedural assessment and serum biomarkers could potentially allow for personalized follow-up schedules. The Interventional Oncology group in Radiology and Radiologic Sciences is collaborating with the BEAM lab to assess patients immediately after chemoembolization with the goal of intra-procedural assessment of a quantitative successful endpoint. As working to combine this imaging data to predict response with serum biomarker information to predict future disease progression, we hope to reduce healthcare expenses used for follow-up imaging for patients with high likelihood of prolonged response and survival.

Short Bios:
Daniel B. Brown, MD, FSIR is Professor of Radiology and Biomedical Engineering. He serves as Vice-Chair of Innovation and Clinical Research for the Department of Radiology and is Director of the Interventional Oncology practice, which includes 9 practicing physicians. He is a Fellow of the Society of Interventional Radiology and served on the Society’s board of directors for two terms and also ran the Annual Scientific Meeting.

Brett C. Byram, PhD is Assistant Professor in Biomedical Engineering.  He facilitates  the work of the biomedical elasticity and acoustic measurement (BEAM) lab.  The BEAM lab primarily focuses on ultrasonic solutions to clinical problems including slow blood flow (i.e. perfusion) imaging and image formation methods for difficult to image patients.

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