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

Automated elaborate resection planning for bone tumor surgery

Hill, Dave; Williamson, Tom; Lai, Chow Yin; Leary, Martin; Brandt, Milan; Choong, Peter; (2023) Automated elaborate resection planning for bone tumor surgery. International Journal of Computer Assisted Radiology and Surgery , 18 (3) pp. 553-564. 10.1007/s11548-022-02763-4. Green open access

[thumbnail of s11548-022-02763-4.pdf]
Preview
Text
s11548-022-02763-4.pdf - Published Version

Download (5MB) | Preview

Abstract

PURPOSE: Planning for bone tumor resection surgery is a technically demanding and time-consuming task, reliant on manual positioning of planar cuts in a virtual space. More elaborate cutting approaches may be possible through the use of surgical robots or patient-specific instruments; however, methods for preparing such a resection plan must be developed. METHODS: This work describes an automated approach for generating conformal bone tumor resection plans, where the resection geometry is defined by the convex hull of the tumor, and a focal point. The resection geometry is optimized using particle swarm, where the volume of healthy bone collaterally resected with the tumor is minimized. The approach was compared to manually prepared planar resection plans from an experienced surgeon for 20 tumor cases. RESULTS: It was found that algorithm-generated hull-type resections greatly reduced the volume of collaterally resected healthy bone. The hull-type resections resulted in statistically significant improvements compared to the manual approach (paired t test, p < 0.001). CONCLUSIONS: The described approach has potential to improve patient outcomes by reducing the volume of healthy bone collaterally resected with the tumor and preserving nearby critical anatomy.

Type: Article
Title: Automated elaborate resection planning for bone tumor surgery
Location: Germany
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s11548-022-02763-4
Publisher version: https://doi.org/10.1007/s11548-022-02763-4
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Automated planning, Bone tumors, Orthopedic oncology, Robotic surgery, Surgical planning
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/10159373
Downloads since deposit
18Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item