Using AI to improve treatment for liver tumors
Official title: Prospective Cohort Study on Thermal Ablation of Malignant Liver Tumors Within the IMAGIO Project (A-IMAGIO)
Run by Leiden University Medical Center · NCT06179602 · Data updated 2026-11-12
This study is testing whether using artificial intelligence can help doctors choose the best treatments and predict outcomes for patients with liver tumors undergoing thermal ablation.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 110 Years |
| Sex | All |
| Enrollment | 1500 (estimated) |
| Sponsor | Leiden University Medical Center Academic / other |
| Locations | 1 site (Leiden) |
| Status | Recruiting |
| Started | January 1, 2024 |
| Main results expected | December 15, 2027 |
| Study ends | January 1, 2028 |
| Registry record updated | September 10, 2025 |
| Trial ID | NCT06179602 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and older who are deemed suitable for percutaneous thermal liver ablation following a multidisciplinary tumor board discussion.
✕Probably not a fit
Patients who are unable to provide informed consent will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to develop and validate algorithms that utilize artificial intelligence and machine learning to enhance patient selection, treatment planning, and outcome prediction for individuals undergoing thermal ablation of malignant liver tumors. Over a four-year period, the study will collect comprehensive data on patient demographics, tumor characteristics, and treatment details, along with imaging before, during, and after the procedure. The ultimate goal is to establish thermal ablation as the preferred treatment for most patients with primary or secondary liver tumors through a standardized and accessible workflow.
Why it matters
Potential benefit: If successful, this study could significantly improve treatment outcomes for patients with liver cancer by optimizing the use of thermal ablation.
How similar studies have gone: Other studies have shown promise in using AI for treatment optimization in oncology, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 18 years or above * Candidate for percutaneous thermal liver ablation as discussed in a multidisciplinary tumorboard (MDT) * Informed consent Exclusion Criteria: * Patients lacking capacity to give informed consent.
Where it's running
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Leiden University Medical Centre
Leiden, Netherlands Recruiting
Study contacts
- Principal investigator: Mark C. Burgmans, MD PhD — Leiden univeristy medical centre
- Study coordinator: Coosje A. M. Verhagen, Drs.
- Email: c.a.m.verhagen@lumc.nl
- Phone: +31-71-5264376
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.