Feasibility of 3D Printed Models of Aortic Stenosis in Guiding TAVI Procedure
3DP-FAST
1 other identifier
observational
20
1 country
1
Brief Summary
• The aim of 3DP-FAST study is to analyze the accuracy of replicating cardiovascular anatomical structures using different techniques and to evaluate the feasibility of 3D printed models of aortic stenosis in guiding TAVI procedure. By conducting a comparative analysis of measurements achieved on CCTA images versus measurements obtained with a specialized projection platform by photogrammetry vs 3D printed models of various aortic valvular and perivalvular structures will be evaluated the accuracy of each step of image dataset processing. Furthermore, the study will evaluate the rate of valvular leak or peri-procedural complications such as embolic events or atrio-ventricular conduction block based on coronary computed tomography angiographic and ECG assessment at 1 year after enrollment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jul 2022
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 8, 2022
CompletedFirst Submitted
Initial submission to the registry
July 30, 2022
CompletedFirst Posted
Study publicly available on registry
August 2, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2023
CompletedMay 16, 2023
July 1, 2022
12 months
July 30, 2022
May 14, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Feasibility of 3D printed models of aortic valves in guiding TAVI procedure
Analysis of the accuracy of replicating cardiovascular anatomical structures using different techniques and to evaluate the feasibility of 3D printed models of aortic stenosis in guiding TAVI procedure.
at baseline
Rate of complications during 12 months follow-up of patients undergoing TAVI for aortic stenosis
Re-evaluation of the aortic valve, in the prospects of analyzing the rate of valvular leak or peri-procedural complications such as embolic events or atrio-ventricular conduction block during a 12 months follow-up after TAVI procedure.
12 months
Interventions
Baseline - 2D transthoracic echocardiography, 128-multislice CT coronary angiography, CCTA of peripheral lower limbs vessels 12-months follow-up - 128-multislice CT coronary angiography with transthoracic echocardiography
3D printing of the aortic valve based on CCTA image acquisition
Eligibility Criteria
Patients with a minimum age of 60 years old, with severe degenerative aortic stenosis who present the criteria for transcatheter aortic valve intervention, who undergo coronary CCTA and CT angiography of the abdominal aorta and lower limbs, and who do not require the criteria for surgical aortic valve replacement.
You may qualify if:
- patients with degenerative aortic stenosis who present the criteria for transcatheter aortic valve intervention, who undergo coronary CCTA and CT angiography of the abdominal aorta and lower limbs.
You may not qualify if:
- contraindications for TAVI procedures
- patients that undergo surgical aortic valve replacement for aortic stenosis
- patients with contraindications for iodine contrast agent administration (acute renal failure, allergy, thyroid dysfunction).
- other conditions associated with suboptimal CCTA image acquisition which could interfere with CT image postprocessing for creation of 3D printed models.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cardio Med Medical Center
Târgu Mureş, 540124, Romania
Related Publications (4)
Cernica D, Benedek I, Polexa S, Tolescu C, Benedek T. 3D Printing-A Cutting Edge Technology for Treating Post-Infarction Patients. Life (Basel). 2021 Sep 1;11(9):910. doi: 10.3390/life11090910.
PMID: 34575059BACKGROUNDBenedek A, Cernica D, Mester A, Opincariu D, Hodas R, Rodean I, Keri J, Benedek T. Modern Concepts in Regenerative Therapy for Ischemic Stroke: From Stem Cells for Promoting Angiogenesis to 3D-Bioprinted Scaffolds Customized via Carotid Shear Stress Analysis. Int J Mol Sci. 2019 May 25;20(10):2574. doi: 10.3390/ijms20102574.
PMID: 31130624BACKGROUNDWang DD, Qian Z, Vukicevic M, Engelhardt S, Kheradvar A, Zhang C, Little SH, Verjans J, Comaniciu D, O'Neill WW, Vannan MA. 3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease. JACC Cardiovasc Imaging. 2021 Jan;14(1):41-60. doi: 10.1016/j.jcmg.2019.12.022. Epub 2020 Aug 26.
PMID: 32861647BACKGROUNDVukicevic M, Mosadegh B, Min JK, Little SH. Cardiac 3D Printing and its Future Directions. JACC Cardiovasc Imaging. 2017 Feb;10(2):171-184. doi: 10.1016/j.jcmg.2016.12.001.
PMID: 28183437BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Daniel Cernica, MD
CardioMed Medical Center
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 30, 2022
First Posted
August 2, 2022
Study Start
July 8, 2022
Primary Completion
July 1, 2023
Study Completion
July 1, 2023
Last Updated
May 16, 2023
Record last verified: 2022-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- The IPD sharing frame is starting 6 months after publication.
All IPD that underlie results in a publication will be available for interested parties.