3D Printing for Pre-Surgical Planning
Public ClinicalTrials.gov record NCT05144620. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
3D printing is emerging as a new diagnostic tool for pre-surgical planning. 3D printed models are extremely advantageous to surgeons in their preoperative planning. Handling these physical replicas engages active spatial perception skills, enabling a more comprehensive understanding of the presented information in an inherently intuitive manner that cannot be achieved with conventional methods of imaging review that use screen based 2D and volume rendered representations. The investigators are developing a novel technique to create 3D models derived directly from extremely high-resolution medical images that are superior in spatial and contrast resolution to current 3D modelling methods. This produces patient specific models that contain previously unachievable special fidelity and soft tissue differentiation. Investigators hypothesize that the preoperative use of these new diagnostic quality models will reduce surgical time and improve post-surgical outcomes in the near future. This prospective project will optimize the quality of these 3D models to create highly useful pre-surgical models. Investigators will target those subspecialist areas of the multidisciplinary surgical and imaging team where it is believed these models will have the most impact. The proposed prospective study has two major goals: 1) Investigate the use of uncompressed, ultrahigh resolution CT/MR datasets to produce diagnostic 3D models with identical spatial/contrast resolution to the acquired datasets in the target areas of congenital cardiothoracic surgery, neurosurgical tumor resection and nephrectomy. 2) Compare the accuracy of this innovative method for 3D printing to radiological images and pathological data when available.
Study identification
- NCT ID
- NCT05144620
- Recruitment status
- Completed
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 38 participants
Conditions and interventions
Conditions
Eligibility (public fields only)
- Age range
- 1 Month to 65 Years
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Dec 29, 2021
- Primary completion
- Dec 6, 2022
- Completion
- Jun 18, 2023
- Last update posted
- Feb 4, 2024
2021 – 2023
United States locations
- U.S. sites
- 2
- U.S. states
- 1
- U.S. cities
- 2
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| University of Colorado Cancer Center | Aurora | Colorado | 80045 | — |
| Children's Hospital Colorado | Denver | Colorado | 80217-3364 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT05144620, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Feb 4, 2024 · Synced Sep 5, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT05144620 live on ClinicalTrials.gov.