Validation of a Novel, Non-Dimensional Approach for Estimation of Pressure Gradients in Aortic Stenosis (AVD-PowerLaw)
Entscheidungsunterstützung Bei Herzklappenerkrankungen Anhand Funktionaler Und Morphologischer Eigenschaften Mittels Methoden Der Mathematischen Modellierung Und Des Maschinellen Lernens
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Using temporally resolved computed tomography images, the patient-specific geometry of the stenosed aortic valve during peak systole is reconstructed. Using this geometry, the projected area of the aortic valve's orifice (AVA) is calculated. Additionally, the left ventricular geometry is reconstructed for the complete heart cycle. Using the information of the left ventricular volume change, the patient-specific flow profile and peak-systolic flow (Q)is calculated. Using this information, the pressure gradient is calculated using a power law estimation of the form PG = a * AVA^b * Q^c. The model generation and parameter fit is described in [1].
To validate this model, retrospective data of patients receiving a catheter-based replacement of the aortic valve (TAVI) is collected. For those patients, CT images are already acquired for treatment planning and the invasive pressure measurements are performed during replacement of the aortic valve. Therefore, no additionally steps are required. Using the CT images the patient-specific aortic valve area ad flow rate are calculated. This information is then used for estimation of the pressure gradient using the power law model. The catheter-based pressure gradient is calculated as the difference between the peak-systolic pressure in the left ventricle and the ascending aorta before implantation of the prosthesis.
[1] Franke et al.; Towards improving the accuracy of aortic transvalvular pressure gradients: rethinking Bernoulli; Medical & Biological Engineering & Computing (2020); https://doi.org/10.1007/s11517-020-02186-w
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Titus Kühne, Prof. Dr.
- Phone Number: +49 30 4593 2078
- Email: titus.kuehne@dhzb.de
Study Locations
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-
Deutschland
-
Berlin, Deutschland, Germany, 13353
- Recruiting
- Deutsches Herzzemtrum Berlin
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Contact:
- Titus Kühne, Prof. Dr.
- Phone Number: +49 30 4593 2078
- Email: titus.kuehne@dhzb.de
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- aortic valve stenosis
- treatment via TAVI
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Retrospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
AVD Patients
Patients suffering from aortic valve stenosis receiving replacement of the diseased valve using a TAVI procedure.
|
Replacement of the aortic valve using a biological prosthesis that is inserted via a catheter.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
predicted vs. cather-measured pressure gradient across the aortic valv
Time Frame: 1 week up to 1 year
|
1 week up to 1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
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 (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
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
- AVD-PowerLaw
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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