Utilizing 3D Printed Personalized Aortic Lesion Models in Preoperative Assessment
Study Details
Study Description
Brief Summary
Using 3D printing technology to create personalized models of diseased heart and aortic blood vessels, surgeons can perform preoperative planning and evaluate relevant indicators.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
N/A |
Detailed Description
Background: Previous systematic reviews have indicated that approximately 82% of surgeries using 3D printed lesion models for preoperative planning have shown better surgical outcomes, and about half of the surgeries have demonstrated reduced operative time. In recent years, there have been numerous studies focusing on the application of 3D printing technology in aortic aneurysms. This study aims to employ 3D printing technology to fabricate personalized aortic blood vessel models with lesions.
Study Design: A single-centre, pilot study.
Methods: This study is a single-center, prospective clinical trial. The study plans to enroll 10 participants in the experimental group, and collect data from another 10 participants as the historical control group. The historical control group data will be matched-paired based on gender, age, and surgical type in sequential order.
Effect: We anticipate that through the use of 3D printed lesion models, we can reduce surgical time, decrease surgery-related complications, and enhance the smoothness of surgical team preparation for the procedure. Additionally, this approach can provide patients with a better understanding of their own condition and the upcoming surgical intervention.
Key words: 3D printing; pre-operative planning; thoracic aorta aneurysm; abdominal aorta aneurysm
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Active Comparator: historical control group conventional preoperative assessment |
Other: historical control
Received a conventional preoperative assessment
|
Experimental: 3D printed lesion model group using 3D printed lesion models for preoperative planning |
Other: 3D printed lesion model
Received 3D printed lesion models for preoperative planning
|
Outcome Measures
Primary Outcome Measures
- surgical time [immediately after the surgical procedure]
the duration of the surgical procedure
Eligibility Criteria
Criteria
Inclusion Criteria:
-
Diagnosed with thoracic or abdominal aortic aneurysm
-
Signed surgical consent
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Non-emergent surgery
-
Had 2D CT imaging within the last 6 months
Exclusion Criteria:
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Refusal to use lesion images for model creation
-
Refusal to participate in the study
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Fu Jen Catholic University Hospital, Fu Jen Catholic University | New Taipei City | Taiwan | 24352 |
Sponsors and Collaborators
- Fu Jen Catholic University
Investigators
- Principal Investigator: Ke-Yun Chao, PhD, Fu Jen Catholic University Hospital
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- FJUH112284