Purpose: The long-term objective of the Ablation-IMaging and Advanced Guidance for workflow optimization in Interventional Oncology (A-IMAGIO) project is to develop a standardized, accessible, low-complex, high-precision, end-to-end solution for treatment planning, needle guidance, and treatment evaluation for thermal liver ablation.
Materials and methods: This is a prospective, international, multicentre, observational registry study. Patients will be included with age ≥ 18 years, diagnosed with primary or secondary liver tumours, and undergoing thermal liver ablation. A detailed dataset of medical history, baseline clinical and imaging parameters, tumour characteristics, ablation technique/parameters, treatment outcomes, periprocedural images, and adverse events, will be collected for all participants. This data will be used to develop AI algorithms for prognostic modelling and quantitative imaging analysis. Additionally, costs associated with thermal liver ablation clinical pathway will be evaluated.
Expected gain of knowledge: The results of this registry study are expected to provide profound insight in current variability among centres in performing thermal liver ablation, and identify best practices in order to eventually facilitate standardization and universally excellent clinical outcomes.
Trial registration: National Institute of Health Clinical trial database (NCT06179602) https://clinicaltrials.gov/study/NCT06179602 .
Keywords: Artificial intelligence; Colorectal liver metastases; Deep learning; Hepatocellular carcinoma; Microwave ablation; Radiofrequency ablation; Thermal ablation.
© 2025. The Author(s).