Condition: Liver Cancer · Liver Metastases · Liver Metastasis Colon Cancer · Sponsor: Leiden University Medical Center
The endpoint of this study is to develop and validate algorithms, using artificial intelligence and machine learning, to optimize patient selection, treatment planning, treatment evaluation and outcome prediction in patients undergoing thermal ablation of a malignant liver tumor. The long-term objective is to establish thermal ablation as the treatment of choice for the vast majority of patients with a primary or secondary liver tumor by development of an accessible workflow that can be widely implemented in different centers performing thermal ablation. Over a time span of at least four years, data will be collected prospectively, encompassing patient information, tumor characteristics, and treatment details. Additionally, pre-, intra-, and post-procedural imaging will be systematically gathered.
This description comes directly from the study's public registry record.
Coosje A. M. Verhagen, Drs. · +31-71-5264376 · c.a.m.verhagen@lumc.nl
Ariadne L. Velden, van der, Drs. · +31(0)43-3876910 · lisa.van.der.velden@mumc.nl
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| Leiden University Medical Centre | Leiden, Netherlands | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06179602