Cancer disease is often difficult to get the right diagnosis and treatment. Gold standards to stage cancer and monitor disease progression are biopsy and imaging of tumor volume. However, the need for invasive biopsies to obtain the required tissue places limits on both spatial and temporal assaying of tumors. Also monitoring tumor volume progression limits earlier response in case the treatment is failing in certain patients. Therefore, effective biomarkers are needed for diagnosis, and predict and identify early response to treatment. Imaging biomarkers are especially useful because they are no-invasive, and allow high temporal and spatial sampling of tumors. In this presentation, I will show my work in how to identify predictive and early response MRI imaging biomarkers of two cancer treatments in early stage clinical trials.
Speaker: TS. Andres Arias, Erasmus MC
Time: 15:30, Tuesday, August 03, 2021
Venue: Webinar; Access code: https://bit.ly/3BKyptX
Dr. Andres Arias is an Electrical engineer, master in embedded system, and PhD in medical imaging. The focus of his PhD at Erasmus Medical Center was the combination of mathematics and computer science to develop medical imaging applications. From January 2018 he was a postdoc researcher working in medical imaging of cancer at Moffitt Cancer Center. Here, he has developed methods to identify imaging biomarkers to predict response to treatment in cancer patients using quantitative MRI. Dr. Andres Arias has (co-)authored nine peer reviewed publications and presented his work in several conferences.