A Case Control Observational Study to Assess CYDAR Automated Overlay Guidance During EVAR
NCT ID: NCT02592733
Last Updated: 2018-04-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
44 participants
OBSERVATIONAL
2015-11-30
2018-04-30
Brief Summary
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Detailed Description
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Once AAA diagnosed, a CTscan is required to assess the anatomy and if indicate an endovascular aneurysm repair (EVAR) is performed. This mini invasive procedure allows the exclusion of the AAA by positioning an endograft inside the aorta through a femoral access under live Xrays (fluoroscopy) guidance.
The Xrays are good at showing bones and radioopaque endovascular tools, but they do not show soft tissues like the aorta, and they produce flat (2D) images that superimpose all the 3D anatomical features. In order to see the aorta, physicians have to inject iodinated contrast during high quality imaging recording. One way to improve clinicians' perception of peroperative 3D vascular anatomy is to accurately overlay selected information from the preoperative CT scan (a 3D vascular mask) onto the live Xray image creating a '3D roadmap'. This advanced imaging application is currently available only in the latest expensive hybrid rooms. This trial will examine the clinical benefits of the first advanced imaging application allowing automated 3D overlay guidance during EVAR in any theatre. The software, combined with secure and certified cloud high performance computing, deduces the patient position from comparing the bony anatomy visible on the Xray to that on the patient's CT scan, enabling it to produce and update accurate and reliable overlays of the diagnostic CT 3D vascular mask throughout the operation (www.cydar.co.uk). Expected benefits include reducing the total Xray exposure of the patients and staff, reduced use of iodinated contrast (a major cause of kidney failure) and shortening procedure duration.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Historical Cohort
Patients who have undergone infrarenal endovascular repair at each centre in the past.
No interventions assigned to this group
Prospective Cohort
Patients undergoing infrarenal endovascular repair in the study using CYDAR in addition to the local angiography equipment.
CYDAR
CYDAR is an automated image mask that is cloud based adn delivered to operating theatres over a secure network. It fuses preoperative images with intraoperative images to provide more accurate image guidance for the surgeon.
Interventions
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CYDAR
CYDAR is an automated image mask that is cloud based adn delivered to operating theatres over a secure network. It fuses preoperative images with intraoperative images to provide more accurate image guidance for the surgeon.
Eligibility Criteria
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Inclusion Criteria
2. aged 18 or older, and
3. been scheduled for endovascular repair of an infrarenal aortic aneurysm (EVAR), and
4. who have had a preoperative diagnostic CT scan, and
5. able (in the investigator's opinion) and willing to comply with the study requirements.
Exclusion Criteria
2. Any other significant disease or disorder which, in the opinion of the Investigator, may either put the participants at risk because of participation in the study, or may influence the result of the study, or the participant's ability to participate in the study.
3. Any patient requiring an associated procedure (iliac branch device implantation, renal or mesenteric angioplasty)
4. Ruptured AAA and emergency procedures
18 Years
ALL
No
Sponsors
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Royal Free Hospital NHS Foundation Trust
OTHER
Responsible Party
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Tara Mastracci
Tara Mastracci, Clinical Lead, Aortic Surgery
Principal Investigators
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Tara M Mastracci, MD
Role: PRINCIPAL_INVESTIGATOR
Royal Free Hospital NHS Foundation Trust
References
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Maurel B, Martin-Gonzalez T, Chong D, Irwin A, Guimbretiere G, Davis M, Mastracci TM. A prospective observational trial of fusion imaging in infrarenal aneurysms. J Vasc Surg. 2018 Dec;68(6):1706-1713.e1. doi: 10.1016/j.jvs.2018.04.015. Epub 2018 May 24.
Other Identifiers
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IRAS171317
Identifier Type: -
Identifier Source: org_study_id
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