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3D Printing for Pre-Surgical Planning

NCT05144620 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 38

Last updated 2024-02-05

No results posted yet for this study

Summary

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.

Conditions

  • Surgical Patients

Interventions

DIAGNOSTIC_TEST

3D Mapping

3D model will be made from diagnostic imaging for pre-surgical planning

Sponsors & Collaborators

  • University of Colorado, Denver

    lead OTHER

Principal Investigators

  • Nicholas Jacobson · Colorado Research Center

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
1 Month
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-12-30
Primary Completion
2022-12-07
Completion
2023-06-19

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05144620 on ClinicalTrials.gov