Clinical Intervention Modelling, Planning and Proof for Ablation Cancer Treatment (ClinicIMPPACT)
Clinical Intervention Modelling, Planning and Proof for Ablation Cancer Treatment (ClinicIMPPACT)
The main objective of the project is to bring the existing radio frequency ablation (RFA) model for liver cancer treatment (Project IMPPACT, Grant No. 223877, completed in February 2012) into clinical practice. Therefore the project will pursue the following objectives:
i) to prove and refine the RFA model in a small clinical study; ii) to develop the model into a real-time patient specific RFA planning and support system for Interventional Radiologists (IR) under special consideration of their clinical workflow needs; iii) to establish a corresponding training procedure for IR's; iv) to evaluate the clinical practicality and benefit of the model for use in the routine workflow in a user survey and expert forum.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
This ClinicIMPPACT proposal builds upon the success of the IMPPACT project (Grant No. 223877, completed in February 2012), which created a model for facilitating more accurate RFA treatment. This preliminary RFA model was tested in swine, with extensive histological workup, and in a clinical simulation study based on patient data, both of which reported relatively high correlations between estimated and actual tumor volumes. The mapping software for liver cancer RFA was developed through this project and provides a simulator for radiologists to plan, review and optimize procedures. Within IMPPACT, extensive experiments were performed on pigs and cells to develop a micro-scale cellular death model, which we used for calibrating the software. After porcine liver calibration, eight patient lesions were selected from a database of clinical procedures, and the planning software was used retrospectively to simulate interventions and predict lesion shapes. Predicted volumes were then compared against real thermal lesions, visualized and segmented in contrast-enhanced CT one month after ablation. These comparisons showed simulated and real lesion volumes to be acceptably matched after taking virtual tissue perfusion values into account. Some lesion shapes were mismatched, possibly due to inaccuracies in segmenting radiological images.
Treatment with RFA could be improved using a validated software solution to estimate lesion size and identify possible complications in advance-ideally, a solution which is adapted to real-time clinical requirements. However, the current state of the art involves long, hardware-intensive computing time (~5 hours), which is impractical for clinical use.
The main goal of this project is to develop a simulation tool, driven by a user-friendly, ergonomically optimized graphical user interface, to support the complex requirements of clinicians. Therefore, the working steps of this international project and its medical and technical partners are to accelerate simulation speed, optimize needle registration, and integrate patients' individual perfusion values into software calculations, as well as accurate validation techniques, to produce more sophisticated and reliable predictions. The software could also aid in offline planning and simulation and as an RFA teaching tool for radiologists. Its use in retrospective analysis should improve clinical follow up and scientific evaluation.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Michael Moche, M.D.
- Phone Number: 00493419717558
- Email: michael.moche@medizin.uni-leipzig.de
Study Contact Backup
- Name: Daniel Seider, M.D.
- Phone Number: 00493419716990
- Email: daniel.seider@medizin.uni-leipzig.de
Study Locations
-
-
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Graz, Austria, 8036
- Recruiting
- Medical University Graz
-
Contact:
- Rupert H. Portugaller, M.d.; PhD
-
-
-
-
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Turku, Finland, 20521
- Recruiting
- University Hospital Turku
-
Contact:
- Roberto Blanco, M.D.; Ph.D.
-
-
-
-
Saxony
-
Leipzig, Saxony, Germany, 04103
- Recruiting
- Department of Diagnostic and Interventional Radiology, University Leipzig, Germany
-
Contact:
- Martin Reinhardt, M.D.
- Phone Number: 16987 004934197
- Email: martin.reinhardt@medizin.uni-leipzig.de
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Contact:
- Daniel Seider, M.D:
- Phone Number: 16990 004934197
- Email: daniel.seider@medizin.uni-leipzig.de
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-
-
-
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Nijmegen, Netherlands, 6500HB
- Recruiting
- Radbound Universität Nijmegen
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Contact:
- Jürger Fütterer, M.D.; Ph.D.
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- primary or secondary tumors of the liver
- consent of local tumor board stating RFA is best treatment option
- Maximum tumor diameter 3cm
- Maximum of 3 lesions
- Stable extrahepatic tumor manifestation without growth tendency including the possibility of therapy (e.g. bone, lung metastasis are no contraindication)
- If liver cirrhosis must be compensated Child-Pugh A or B
- written informed consent
Exclusion Criteria:
- Pregnancy and/or breastfeeding
- Severe anaphylactic reaction against iodine and/ or contrast agent
- Insufficient coagulation
- Splenectomy
- Insufficient kidney and thyroid gland function
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: Software assisted RFA treatment
Non-controlled, prospective, multicenter study arm, to evaluate RFA therapy simulation software.
|
Computer assisted RFA of liver tumors: Planning, simulation, and follow up,
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparison of the size and shape, using quantitative and semi-quantitative measures, of the real ablation zone one month after RFA treatment of liver tumors with the simulation results of the ClinicIMPPACT software.
Time Frame: All patients within 1 month follow up in the trial period
|
For the primary endpoint, the investigators will compare lesions visualized by routine CT one month after ablation with their simulated counterparts to define the accuracy of the method itself. The coinciding volumes of the real RFA lesion and the simulated one will be determined by counting the number of matching voxels, i.e. voxels of simulation and recorded data, sharing the space coordinates, and dividing by the sum of the voxels of simulated and real lesions. To define the accuracy of the simulation as a parameter, we introduce the following categories: In comparison to the "real ablation" the simulation result would have been: I. much smaller II. comparable III. much larger b) The spatial coordinates of the "real ablation" differs from the simulated one I. Strongly II. Not strongly |
All patients within 1 month follow up in the trial period
|
|
Comparison of the spatial coordiantes of the real ablation zone one month after RFA treatment of liver tumors with the simulation results of the ClinicIMPPACT software.
Time Frame: All patients within 1 month follow up in the trial period
|
To define the accuracy of the simulation as a parameter, the investigators introduce the following categories: The spatial coordinates of the "real ablation" differs from the simulated one I. Strongly II. Not strongly |
All patients within 1 month follow up in the trial period
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Duration/Efficiency of workflow steps measured in minutes
Time Frame: up to 60 minutes per lesion
|
Duration of the simulation (minutes)
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up to 60 minutes per lesion
|
|
Would the treatment protocol been influenced by the simulation results if it would have been known in advance by the treating doctor.
Time Frame: 12 months
|
Influence Yes/No • If yes, is there an expectable potential benefit for the patient due to an increase or decrease of the treatment protocol? |
12 months
|
|
Does the follow - up (3, 6 ,12months) imaging support the assumptions regarding local tumor control
Time Frame: up to 24 months due to 12m follow up
|
Choice of one of the options below:
|
up to 24 months due to 12m follow up
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Michael Moche, M.D., Department of Diagnostic and Interventional Radiology, University Leipzig, Leipzig, Germany
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 610886
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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