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Patient-specific 3D reconstruction models for sacral tumor resection: illustrative cases
Vivek Sanker1, Aneysis D Gonzalez-Suarez1, Niccolo Innocenti1
1Department of Neurosurgery, Stanford University, Stanford, California.
Journal of Neurosurgery. Case Lessons
|June 9, 2025
Summary
Three-dimensional (3D) reconstruction models enhance surgical planning for complex sacral tumors, improving patient outcomes. This innovative approach aids in precise tumor resection and reduces complications in spinal surgery.
Area of Science:
- Neurosurgery
- Orthopedic Oncology
- Spine Surgery
Background:
- Sacral tumor resection involves complex anatomy, posing risks of complications and adverse patient outcomes.
- Advancements in 3D reconstruction modeling offer potential for improved surgical precision in spine surgery.
- Challenging sacral tumor cases provide an opportunity to evaluate 3D modeling's impact on patient results.
Purpose of the Study:
- To evaluate the efficacy of 3D reconstruction models in assisting complex sacral tumor resections.
- To demonstrate the application of 3D modeling in improving surgical outcomes for spinal tumors.
- To present case studies showcasing the benefits of 3D-assisted surgical planning.
Main Methods:
- Two patients with sacral tumors (synovial cell sarcoma and giant cell osteosarcoma) were treated.
- A three-staged en bloc tumor resection procedure was performed.
- Three-dimensional (3D) reconstruction models were utilized to assist surgical planning and execution.
Main Results:
- Postoperative imaging confirmed complete tumor resection in both cases.
- Patients experienced symptomatic improvement following the surgical intervention.
- No signs of tumor recurrence were observed during follow-up evaluations.
Conclusions:
- The integration of 3D modeling represents a significant advancement in surgical planning and execution for spine surgery.
- 3D modeling technology can enhance outcomes for complex spinal tumors, as evidenced by successful case results.
- Further extensive studies with larger patient cohorts are necessary to fully ascertain the advantages of 3D modeling across diverse patient demographics and tumor types.
