Interventional Oncology in Diagnosis: Current Progress and Future Perspectives
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: closed (29 December 2023) | Viewed by 402
Special Issue Editor
Interests: interventional radiology; interventional oncology; CT angiography; ultrasound doppler; emergency radiology; liver; kidney; urinary tract; chemoembolization; ablation; radioembolization; embolization; bleeding; aorta; pseudoaneurysm
Special Issue Information
Dear Colleagues,
Interventional oncology is a rapidly evolving branch of interventional radiology that combines imaging and minimally invasive techniques to diagnose, stage, and treat various types of cancer. In recent years, there has been significant progress in interventional oncology with the development of new imaging technologies and innovative management modalities. These include locoregional percutaneous ablative therapies, such as radiofrequency ablation, microwave ablation, cryoablation, and irreversible electroporation, as well as endovascular intra-arterial treatments ranging from chemoembolization to radioembolization. Interventional oncology is also based on minimally-invasive diagnostic procedures, represented by image-guided biopsies, that can provide tissue samples for tumor analysis, as well as on percutaneous drainages that can be both diagnostic and therapeutic. Despite these advancements, there are still challenges in the diagnosis of cancers, particularly in cases where traditional biopsy methods are not feasible or yield inconclusive results. Future perspectives in interventional oncology include the use of functional imaging and molecular profiling, as well as applied radiomics, to improve cancer diagnosis and management. Moreover, fusion software, navigation software, and tools can help improve percutaneous needle placement, to increase diagnostic and treatment accuracy. Additionally, advances in artificial intelligence and machine learning offer the potential to enhance the efficacy of image interpretation and clinical decision-making. In conclusion, interventional oncology is an exciting and dynamic field with promising avenues for both current and future cancer diagnosis and management.
Dr. Alessandro Posa
Guest Editor
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