Medical Imaging in Malignant Liver Tumours Treatment Evaluation

Dear Colleagues,

This Special Issue will address the role of medical imaging, radiomics and deep learning (DL) in malignant liver tumor (hepatocellular carcinoma, cholangiocarcinoma and hepatic metastases) treatment allocation, treatment response prediction and time-to-event estimations. The role of current guidelines, radiomic features and DL tools will be explored in work ranging from pilot studies to evidence-based knowledge reports, with an emphasis on ablative techniques, trans-arterial chemoembolization (TACE) and trans-arterial radioembolization (TARE) therapies. New interventional procedures for malignant liver tumors will be explored. The relevance of the radiological report when evaluating the effects of these treatments will be discussed. Finally, the real-world data (RWD) approach to generating real-world evidence (RWE) will also be discussed and critically approached.

Prof. Dr. Luis Martí-Bonmatí
Dr. Daniel Pérez-Enguix
Guest Editors

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• radiology
• medical oncology
• interventional radiology
• endovascular procedures
• liver neoplasms
• computer-assisted image processing
• deep learning