Utilizing Distance Mapping in 3D Virtual Surgical Planning for Hand, Wrist, and Forearm Procedures

Overview

Distance mapping integrated into 3D virtual surgical planning enhances accuracy in corrective osteotomies and scaphoid reconstructions by visualizing joint congruency and spacing. This approach helps identify potential planning errors preoperatively and supports postoperative quality control, improving surgical outcomes.

Background

Three-dimensional virtual surgical planning (VSP) has become a valuable tool in hand, wrist, and forearm surgeries, particularly for corrective osteotomies. Certified medical software enables precise modeling of bone structures and joint spaces, facilitating implant preparation and surgical guidance. Distance mapping, a technique that color-codes interbone distances, allows visualization of joint congruency and cartilage thickness, which is critical for planning and assessing interventions. Imaging modalities such as CBCT and MDCT provide the necessary data for segmentation and distance mapping, with considerations of scanning time and radiation exposure.

Data Highlights

Key Findings

• Distance mapping provides a color-coded visualization of joint space thickness from 0 mm (dark red) to ≥5 mm (light blue), aiding in detecting malpositions.
• Segmentation of wrist bones using Bonelogic software is semi-automatic, requiring minimal operator input and generating accurate distance maps.
• 3D virtual planning with distance mapping supports preoperative planning and postoperative quality control in corrective osteotomies and scaphoid nonunion reconstructions.
• CBCT offers lower radiation exposure and shorter scanning times compared to MDCT but has a limited field of view, restricting its use for full forearm imaging.
• Dynamic and static distance mapping techniques enable assessment of joint congruency during motion and at rest, enhancing understanding of carpal kinematics.

Clinical Implications

Incorporating distance mapping into 3D virtual surgical planning allows surgeons to better visualize joint congruency and detect potential errors before surgery, potentially reducing operative time and improving functional outcomes. The use of certified software and appropriate imaging modalities ensures precise modeling and safer radiation exposure. This approach supports personalized surgical interventions and postoperative assessments, enhancing patient care in hand and wrist surgery.

Conclusion

Distance mapping integrated with 3D virtual surgical planning is a valuable strategy to minimize errors in hand, wrist, and forearm procedures. It enhances visualization of joint spaces and supports both preoperative planning and postoperative evaluation, contributing to improved surgical precision and outcomes.

References

1. Carrigan 3D Finite Element Wrist Model -- Load Transmission Analysis
2. Rikli et al. Force Transmission in Carpal Motion Using Novel® Sensor
3. Marai Colour-coded Distance Mapping for Joint Space Visualization
4. Foumani Dynamic Distance Mapping of Radiocarpal Joint
5. Robinson et al. 4D-CT Joint Congruency Maps in Wrist Motion
6. Disior Bonelogic Software for Bone Segmentation and Distance Mapping
7. CBCT vs MDCT Imaging Parameters and Radiation Dose