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4D Motion of the Aorta in the Chest and Simulated Wall Stress Distribution in Relation to Aortic Events

4D Motion of the Aorta in the Chest and Simulated Wall Stress Distribution in Relation to Aortic Events

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04958083
Acronym
4D MOTION-2
Enrollment
30
Registered
2021-07-12
Start date
2021-08-31
Completion date
2023-06-30
Last updated
2021-07-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aortic Dissection

Keywords

aortic disease, finite element analysis, virtual stenting, focal wall stress

Brief summary

Aortic disease is a life-threatening condition requires swift surgery or intervention. With modern techniques and vascular prostheses, still quite a few patients suffer surgery/intervention related complications such as suture line pseudoaneurysm, stent- induced re-entry tear, and aneurysmal expansion. Previous studies suggest that these complications may be related to the abnormal aortic motion pattern and biomechanical stress induced by vascular prostheses. The relationship between aortic motion changes and aortic adverse events after treatment still remains unclear. A dynamic protocol (multiphase contrast-enhanced ECG-gated) CT scan is able to measure the spatial motion of the ascending aorta, and finite element modelling is able to simulate both surgery or endovascular intervention and analyse the biomechanical interaction between vascular prostheses and tissue based on the patient-specific images. This project is aiming to explore and identify the interaction of 4D aortic motion and the biomechanical changes after surgery or endovascular treatment.

Detailed description

Overall design The study population will consist of patients to be examined for proximal aortic conditions (dissection or aneurysm) requiring surgery or endovascular intervention. A patient cohort will be recruited to explore the effects of surgical or endovascular prosthesis on the adjacent aorta, and its impact on late clinical outcomes. Patient recruitment Patients who have proximal aortic conditions and are referred to the aortic team in Royal Brompton and Harefield Hospitals will be screened for eligibility. For this pilot study and in view of the volume of aortic surgery in the Trust (approx. 100 cases per year), 30 patients will be recruited in the first year of this project to be followed for at least one year for clinical outcomes. Imaging protocol After obtaining written informed consent, a new dynamic (multiphase ECG-gated contrast- enhanced) CT imaging protocol will be used for participants to replace the standard (ECG- gated contrast-enhanced) CT protocol both prior to and after surgical or endovascular intervention. The therapeutic pathway and clinical decision making will not be affected by the new imaging protocol. Study participants will receive the same standard of treatment and care as well as follow up surveillance as all other patients not participating in this study. The same dynamic CT image protocol will be offered prior to hospital discharge. Image processing and motion analysis Image processing and analysis will be performed offline, and thus not affect the clinical pathway or delay standard treatment. Dynamic images will be extracted from the Trust PACS. Suitable sets of images will be anonymized, reconstructed using a Trust approved software and downloaded to a protected area on a Trust server for offline analysis. The analysis of 4D motion of the aortic root will be conducted using image processing software authorised by the Trust (3D Slicer). Detailed analysis requires the identification of end- systolic and end-diastolic frames, followed by measurements in 6 degrees of freedom (3 directions of displacement and 3 axial rotations in a global coordinate system). The raw motion data will be transferred to a patient-specific anatomical coordinate system (identified by the individual sinotubular junction) for further statistics with Matlab (Mathworks, USA). Finite element modelling The spatial patient-specific model will be reconstructed from CT image and then automatically meshed for further simulation. The finite element analysis will be performed by using a commercial structural mechanics solver (Abaqus; Dassault Systèmes, France). The 4D motion data will be applied as the boundary condition to describe the motion of the ascending aorta in the model. The pulsatile pressure load from the blood flow will be applied to the inner surface of the model. Virtual surgery or endovascular intervention simulation will then be performed on this model to determine key biomechanical parameters, such as principal stresses and shear strain, which later will be correlated to clinical adverse events during follow-up. The results will allow us to elucidate the role of biomechanical changes in clinical events after surgery/intervention and to identify which parameter might predict adverse outcome in these patients.

Interventions

DIAGNOSTIC_TESTmultiphase ECG-gated contrast-enhanced CT

Compared with current standard CT imaging, the dynamic CT protocol provides incremental functional information, which is potentially helpful to the individuals under study (such as early awareness for future complications and potential prediction of outcomes). Due to the nature of the acquisition, a wider R-R acquisition window will result in a higher radiation burden than a standard protocol. However, the study protocol will replace the standard routine CT image protocol as it contains both the routine anatomic information and incremental functional information. The time required for the image acquisition and associated radiation will be slightly higher; the additional information from multiple reconstructed phases will justify a slightly higher radiation burden in a usually elderly population. The estimated radiation dose for the standard imaging protocol is approximately 8 mSv. The estimated radiation dose for the modified dynamic CT image acquisition is approximately 18 mSv.

Sponsors

Royal Brompton & Harefield NHS Foundation Trust
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 95 Years
Healthy volunteers
No

Inclusion criteria

1. Patients above 18 years with proximal aortic dissection/aneurysm. 2. Patients subjected to aortic surgery or intervention at Royal Brompton and Harefield Hospital. 3. Patients agreeing to participate in this study and willing to give written consent.

Exclusion criteria

1. Patients not suitable for surgery or intervention. 2. Patients with pre-existing cancer condition or cancer predisposition. 3. Patients who are pregnant. 4. Patient with critical renal function who cannot tolerate to standard amount contrast agent. 5. Patients who cannot give written informed consent.

Design outcomes

Primary

MeasureTime frameDescription
motion differential6 months after the last participant has post-procedure dynamic CT scanQuantitative assessment of differential of aortic motion before and after surgery/intervention
motion predicting aortic events6 months after the last participant finished 1 year clinical follow upMotion differences before-after procedure with regards to later aortic events.

Secondary

MeasureTime frameDescription
wall stress distribution6 months after the last participant has post-procedure dynamic CT scanQuantitative description of peak longitudinal and circumferential wall stress before and after surgery/intervention.

Countries

United Kingdom

Contacts

Primary ContactChristoph Nienaber, MD, PhD
c.nienaber@rbht.nhs.uk+4402073528121

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026