UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Automated resection planning for bone tumor surgery

Hill, D; Williamson, T; Lai, CY; Leary, M; Brandt, M; Choong, P; (2021) Automated resection planning for bone tumor surgery. Computers in Biology and Medicine , 137 , Article 104777. 10.1016/j.compbiomed.2021.104777. Green open access

[thumbnail of 2021_08_18 automated resection planning rev_2.pdf]
2021_08_18 automated resection planning rev_2.pdf - Accepted Version

Download (1MB) | Preview


Planning for bone tumor resection surgery is a technically demanding and time-consuming task, reliant on manual positioning of cutting planes (CPs). This work describes an automated approach for generating bone tumor resection plans, where the volume of healthy bone collaterally resected with the tumor is minimized through optimized placement of CPs. Particle swarm optimization calculates the optimal position and orientation of the CPs by introducing a single new CP to an existing resection, then optimizing all CPs to find the global minima. The bone bounded by all CPs is collaterally resected with the tumor. The approach was compared to manual resection plans from an experienced surgeon for 20 tumor cases. It was found that a greater number of CPs reduce the collaterally resected healthy bone, with diminishing returns on this improvement after five CPs. The algorithm-generated resection plan with equivalent number of CPs resulted in a statistically significant improvement over manual plans (paired t-test, p < 0.001). The described approach has potential to improve patient outcomes by reducing loss of healthy bone in tumor surgery while offering a surgeon multiple resection plan options.

Type: Article
Title: Automated resection planning for bone tumor surgery
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compbiomed.2021.104777
Publisher version: https://doi.org/10.1016/j.compbiomed.2021.104777
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Bone tumors. Surgical planning, Automated planning, Orthopedic oncology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10134734
Downloads since deposit
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item