Purpose: To develop a machine learning algorithm to improve hepatic resection selection for patients with metastatic colorectal cancer (CRC) by predicting post-portal vein embolization (PVE) outcomes.
Materials And Methods: This multicenter retrospective study (2000-2020) included 200 consecutive patients with CRC liver metastases planned for PVE before surgery. Data on radiomic features and laboratory values were collected.
Radiol Artif Intell
November 2024
The management of hepatocellular carcinoma (HCC) is undergoing transformational changes due to the emergence of various novel immunotherapies and their combination with image-guided locoregional therapies. In this setting, immunotherapy is expected to become one of the standards of care in both neoadjuvant and adjuvant settings across all disease stages of HCC. Currently, more than 50 ongoing prospective clinical trials are investigating various end points for the combination of immunotherapy with both percutaneous and catheter-directed therapies.
View Article and Find Full Text PDFJ Vasc Interv Radiol
October 2024
Purpose: To assess recent U.S. medical school trends in compensation for academic interventional radiology (IR) faculty and compensation characteristics based on rank, gender, and race/ethnicity.
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