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Automated elaborate resection planning for bone tumor surgery.

Dave Hill¹, Tom Williamson², Chow Yin Lai³

¹Centre for Additive Manufacturing, School of Engineering, RMIT University, 58 Cardigan St, Carlton, 3001, Australia.

International Journal of Computer Assisted Radiology and Surgery

|November 2, 2022

Summary

This study presents an automated method for bone tumor resection planning, significantly reducing healthy bone removal. This approach optimizes surgical cuts, improving patient outcomes and preserving critical anatomy.

Keywords:

Automated planning Bone tumors Orthopedic oncology Robotic surgery Surgical planning

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Published on: April 11, 2018

Area of Science:

Orthopedic Surgery
Computational Geometry
Medical Robotics

Background:

Bone tumor resection planning is complex and manual.
Current methods involve manual positioning of planar cuts.
Advanced techniques require new planning strategies.

Purpose of the Study:

To develop an automated approach for conformal bone tumor resection planning.
To optimize resection geometry by minimizing healthy bone collateral resection.
To compare automated planning with manual methods.

Main Methods:

An automated approach using convex hull and focal point for resection geometry.
Particle swarm optimization to minimize collateral resection of healthy bone.
Comparison with manual planar resection plans in 20 tumor cases.

Main Results:

Algorithm-generated hull-type resections significantly reduced healthy bone collateral resection.
Statistically significant improvements observed compared to manual planning (p < 0.001).

Conclusions:

The automated approach can improve patient outcomes in bone tumor surgery.
Reduces collateral resection of healthy bone.
Aids in preserving critical nearby anatomy.