Events Calendar

Ibrahim Chamseddine (MGH): Prediction of Outcomes after Radiotherapy for Hepatocellular Carcinoma Independently Validated using Multi-institutional Data
Tuesday 16 March 2021, 12:00pm - 01:00pm


Radiotherapy (RT) is increasingly used in advanced hepatocellular carcinoma (HCC), providing excellent local control. Regional and distant failures are common though, and radiation-induced liver disease and post-RT lymphopenia have been shown to correlate with survival. In this study, we develop machine learning (ML) models to predict these endpoints using dosimetric and nondosimetric datasets. The models were trained using internal dataset, then they were locked before independent validated on an unseen external dataset. Comparable prediction performance was observed between training and validation, which underscores good generalizability of the models for predicting patient-specific RT outcomes in HCC.


Short bio:

Ibrahim Chamseddine is a Postdoctoral Fellow at Harvard Medical School and at the Department of Radiation Oncology of Massachusetts General Hospital. He receives his Ph.D. in Mechanical Engineering from McGill University in 2019, after which he was a Postdoctoral Researcher in the Department of Mathematical Oncology at Moffitt Cancer Center. His research focuses on treatment outcome prediction, optimization, and personalization.


Location : Virtual