Automated resection planning for bone tumor surgery.

Bone Neoplasms / diagnostic imaging Humans Radiotherapy Planning, Computer-Assisted
Automated planning Bone tumors Orthopedic oncology Surgical planning

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
10 2021
Historique:
received: 12 07 2021
revised: 18 08 2021
accepted: 18 08 2021
pubmed: 8 9 2021
medline: 12 10 2021
entrez: 7 9 2021
Statut: ppublish

Résumé

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.

Identifiants

DOI: 10.1016/j.compbiomed.2021.104777 PMID: 34492517
pubmed: 34492517
pii: S0010-4825(21)00571-0
doi: 10.1016/j.compbiomed.2021.104777
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104777

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Dave Hill (D)

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

Tom Williamson (T)

Centre for Additive Manufacturing, School of Engineering, RMIT University, 58 Cardigan St, Carlton, 3001, Australia. Electronic address: tom.williamson@rmit.edu.au.

Chow Yin Lai (CY)

Department of Electronic and Electrical Engineering, University College London, Malet Place and Torrington Place, Roberts Building, Level 7, London, WC1E 7JE, United Kingdom.

Martin Leary (M)

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

Milan Brandt (M)

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

Peter Choong (P)

Department of Surgery, University of Melbourne, Level 2, Clinical Sciences Building, 29 Regent Street, Fitzroy, 3065, Australia.

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Classifications MeSH

questionsmedicales.fr › Maladies ostéomusculaires › Maladies osseuses › Tumeurs osseuses › Automated resection planning for bone tumor surgery.
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Automated resection planning for bone tumor surgery.
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Thérapie assistée par ordinateur › Radiothérapie assistée par ordinateur › Planification de radiothérapie assistée par ordinateur › Automated resection planning for bone tumor surgery.