An interventional study of 3D Mapping in Surgical Patients, sponsored by University of Colorado, Denver. Completed at 2 sites in United States. Open to participants aged 1 Month to 65 Years. Per ClinicalTrials.gov, last updated 2024-02-05.
Sponsored by University of Colorado, Denver · Not applicable, Interventional, and Diagnostic
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.
The tangible outcome of this research will be measured in a comparative study. The investigators will compare the 3D printed models, resulting from the development of this iterative process of generating models from ultra-high resolution medical images and review by all parties, to radiological images and pathological data. The study team will employ non-biased methods to quantify the results of this comparative study. There will be no randomization and all subjects will receive the same treatments and all outcomes are data focused. Models will not be used for patient treatment and will be used only as to aid preparation and will not be used as a therapeutic device. For this reason, the study team will not prospectively consent subjects.
University of Colorado, Denver is the lead sponsor of 1,499 studies on the registry; 315 are open to participants now.
Of its 139 completed or terminated interventional studies of FDA-regulated products, 89 (64%) have results posted.
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Exclusion Criteria:
Diagnostic Test: 3D Mapping
3D model will be made from diagnostic imaging for pre-surgical planning
Comparing 3D Models as a new diagnostic tool for pre-surgical training to reduce surgical time
Focus on using pre-operative imaging for producing 3D models for 3 specific presurgical evaluations 1) Adult Clear Cell Renal Mass with a focus on partial nephrectomies. 2) Pediatric Cardiothoracic Surgery 3) Pediatric Neurosurgical primary brain tumor resection involving eloquent areas of the brain (eg speech center, auditory center, visual center, motor cortex, and sensory cortex). 4) Plastic Surgery and Craniomaxillofacial disciplines with a focus on DIEP Flap reconstructions and Alveolar Bone Graft procedures. Change in surgical time based on using a 3D model per-operatively
Time frame: 3 years
Plan to share: No
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This study is completed, as verified in Feb 2024. You cannot join it, but the record below documents what was studied.
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University of Colorado, Denver