A Model to Predict Treatment Failure in Patients Undergoing Upfront Surgery for Resectable Colorectal Liver Metastases

Rick Greene, MD, discusses with Giammauro Berardi, MD, PhD, FEBS, the outcomes of a large cohort of patients undergoing upfront surgery for resectable colorectal liver metastases (CRLM) to analyze the predictability and probability of early treatment failure using clinicopathological characteristics. Dr. Berardi is author of, "A Model to Predict Treatment Failure in Patients Undergoing Upfront Surgery for Resectable Colorectal Liver Metastases." Dr. Berardi is attending at the Department of HPB Surgery and Liver Transplantation of the San Camillo Forlanini Hospital, Rome, Italy, and previous to that was a Surgical Oncology clinical fellow at Memorial Sloan-Kettering Cancer Center, New York NY.

You can listen to A Model to Predict Treatment Failure in Patients Undergoing Upfront Surgery for Resectable Colorectal Liver Metastases online on Radio and Podcast. Open the player on this page to stream the available audio.

A Model to Predict Treatment Failure in Patients Undergoing Upfront Surgery for Resectable Colorectal Liver Metastases is an episode from Speaking of SurgOnc by Annals of Surgical Oncology and Society of Surgical Oncology.

This episode is 12:03 long.

This episode was published on Jun 13, 2023.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Speaking of SurgOnc when more episodes are available from the podcast feed.