Medical Imaging in Malignant Liver Tumours Treatment Evaluation
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 326
Special Issue Editors
2. Área Clínica de Imagen Médica, Hospital Universitario Y Politécnico La Fe, 46026 Valencia, Spain
Interests: computational imaging, liver imaging, oncologic imaging
Special Issue Information
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
Manuscript Submission Information
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Keywords
- radiology
- medical oncology
- interventional radiology
- endovascular procedures
- liver neoplasms
- computer-assisted image processing
- deep learning
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