Related Experiment Video
Updated: Oct 2, 2025

08:01
Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
Published on: August 24, 2018
9.2K
3D-Printed Guides in Bone Tumor Resection: Studying Their Error and Determining a Safety Margin for Surgery
Orthopedics
|February 24, 2022
Summary
3D-printed cutting guides in orthopedic oncology can improve accuracy but have errors. This study defines a "safety margin" for jig design to prevent positive tumor margins during bone sarcoma resection.
Area of Science:
- Orthopedic Oncology
- Biomedical Engineering
- Surgical Accuracy
Background:
- 3D-printed guides are emerging in orthopedic oncology for improved bone resection accuracy.
- Inaccuracies in current 3D-printed guides can lead to critical errors like positive tumor margins.
- Quantifying the margin of error is crucial for enhancing the safety and efficacy of these guides.
Purpose of the Study:
- To quantitatively investigate the margin of error associated with various 3D-printed jig types.
- To determine a "safety margin" for 3D-printed jig design to minimize positive tumor margins.
- To provide guidance for surgeons and jig engineers in developing safer 3D-printed cutting guides.
Main Methods:
- Simulated wide resection of distal femoral bone sarcoma on Sawbone specimens using various 3D-printed jigs.
- Ten participants with no prior expertise in cutting guides performed the resections.
- A mathematical model based on kinematic theory was developed to define a safety margin for 98% likelihood of avoiding positive margins.
Main Results:
- The mean deviation in placing cutting guides ranged from 2.86 mm to 6.54 mm across four jig types.
- A safety margin of 4.8 mm is recommended for standard guides.
- A safety margin of 8.65 mm is recommended for gusset guides to account for human error in placement.
Conclusions:
- Established safety margins are essential for 3D-printed jig design to mitigate risks associated with human error in guide placement.
- The findings provide critical data for optimizing 3D-printed jig engineering in orthopedic oncology.
- Further research involving cadavers and patients is warranted to validate these findings in clinical settings.

