Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT06179602 |
Other study ID # |
133356 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
January 1, 2024 |
Est. completion date |
January 1, 2028 |
Study information
Verified date |
March 2024 |
Source |
Leiden University Medical Center |
Contact |
Coosje A. M. Verhagen, Drs. |
Phone |
+31-71-5264376 |
Email |
c.a.m.verhagen[@]lumc.nl |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
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.
Description:
This study is part of the IMAGIO (Imaging and advanced guidance for workflow optimization in
interventional oncology) project. This project aims to leverage Interventional Oncology in
the clinical setting to improve cancer survival outcomes, through minimally invasive,
efficient and affordable care pathways for three disease states; liver cancer, lung cancer
and sarcoma. In IMAGIO, top innovators in MedTech and Pharma and expert academic clinical
centers will mature the next-generation interventional oncology imaging across the full
spectrum, from pre-clinical developments to impact validation in clinical trials.
The objective of this study, A-IMAGIO, is to develop a standardized, accessible, low-complex,
end-to-end solution for patient selection, treatment planning, needle guidance and treatment
evaluation for thermal liver ablation.
One of the objectives is to integrate AI in the clinical workflow as a tool to assist
operators in decision making throughout the entire process based on quantitative assessment.
AI data analytics will be developed to guide decision making for personalized treatment
together with algorithms that allow optimized treatment planning and automated quantitative
treatment evaluation. Also, a computational model will be developed with input from radiomics
and clinical data to identify patients at risk of recurrence after thermal ablation. The aim
of the A-IMAGIO project is to conduct a large European observational cohort study and collect
clinical and image data of patients treated with thermal ablation for liver tumors in order
to develop and validate these AI algorithms. The database will be built by merging data from
retrospective data and previous prospective clinical trials on thermal ablation of liver
tumors. Further data will be collected through a prospective, multicenter, observational
study. The long-term objective is to establish thermal ablation as the first line therapy for
patients with both primary and secondary liver tumors. Therefore, we aim to develop a
low-complexity-high-precision, accessible workflow that can be widely implemented in
different centers performing thermal ablation.