Man versus machine: Automatic pedicle screw planning using registration-based techniques compared with manual screw planning for thoracolumbar fusion surgeries.
accuracy
automated screw placement
navigation
pedicle screws
spine surgery
Journal
The international journal of medical robotics + computer assisted surgery : MRCAS
ISSN: 1478-596X
Titre abrégé: Int J Med Robot
Pays: England
ID NLM: 101250764
Informations de publication
Date de publication:
10 Sep 2023
10 Sep 2023
Historique:
revised:
14
08
2023
received:
03
11
2022
accepted:
16
08
2023
medline:
10
9
2023
pubmed:
10
9
2023
entrez:
10
9
2023
Statut:
aheadofprint
Résumé
This study evaluates the precision of a commercially available spine planning software in automatic spine labelling and screw-trajectory proposal. The software uses automatic segmentation and registration of the vertebra to generate screw proposals. 877 trajectories were compared. Four neurosurgeons assessed suggested trajectories, performed corrections, and manually planned pedicle screws. Additionally, automatic identification/labelling was evaluated. Automatic labelling was correct in 89% of the cases. 92.9% of automatically planned trajectories were in accordance with G&R grade A + B. Automatic mode reduced the time spent planning screw trajectories by 7 s per screw to 20 s per vertebra. Manual mode yielded differences in screw-length between surgeons (largest distribution peak: 5 mm), automatic in contrast at 0 mm. The size of suggested pedicle screws was significantly smaller (largest peaks in difference between 0.5 and 3 mm) than the surgeon's choice. Automatic identification of vertebrae works in most cases and suggested pedicle screw trajectories are acceptable. So far, it does not substitute for an experienced surgeon's assessment.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2570Subventions
Organisme : German government, Federal Ministry of Education and Research
ID : 13GW0249
Informations de copyright
© 2023 The Authors. The International Journal of Medical Robotics and Computer Assisted Surgery published by John Wiley & Sons Ltd.
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