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Utilizing 3D Printed Personalized Aortic Lesion Models in Preoperative Assessment

F

Fu Jen Catholic University

Status

Enrolling

Conditions

Aortic Aneurysm

Treatments

Other: 3D printed lesion model
Other: historical control

Study type

Interventional

Funder types

Other

Identifiers

NCT06147024
FJUH112284

Details and patient eligibility

About

Using 3D printing technology to create personalized models of diseased heart and aortic blood vessels, surgeons can perform preoperative planning and evaluate relevant indicators.

Full 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

Enrollment

10 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Diagnosed with thoracic or abdominal aortic aneurysm
  • Signed surgical consent
  • Non-emergent surgery
  • Had 2D CT imaging within the last 6 months

Exclusion criteria

  • Refusal to use lesion images for model creation
  • Refusal to participate in the study

Trial design

Primary purpose

Other

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

10 participants in 2 patient groups

historical control group
Active Comparator group
Description:
conventional preoperative assessment
Treatment:
Other: historical control
3D printed lesion model group
Experimental group
Description:
using 3D printed lesion models for preoperative planning
Treatment:
Other: 3D printed lesion model

Trial contacts and locations

1

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Central trial contact

Ke-Yun Chao, PhD

Data sourced from clinicaltrials.gov

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