Taming the exoscope: a one-year prospective laboratory training study.

Dissection Exoscope Microsurgical skill Taming Training program

Journal

Acta neurochirurgica
ISSN: 0942-0940
Titre abrégé: Acta Neurochir (Wien)
Pays: Austria
ID NLM: 0151000

Informations de publication

Date de publication:
08 2023
Historique:
received: 17 02 2023
accepted: 24 05 2023
medline: 9 8 2023
pubmed: 28 6 2023
entrez: 27 6 2023
Statut: ppublish

Résumé

Digital 3D exoscopes have been recently introduced as an alternative to a surgical microscope in microneurosurgery. We designed a laboratory training program to facilitate and measure the transition from microscope to exoscope. Our aim was to observe the effect of a one-year active training on microsurgical skills with the exoscope by repeating a standardized test task at several time points during the training program. Two board-certified neurosurgeons with no previous exoscope experience performed the same test tasks in February, July, and November during a 12-month period. In between the test tasks, both participants worked with the exoscope in the laboratory and assisted during clinical surgeries on daily basis. Each of the test segments consisted of repeating the same task 10 times during one week. Altogether, 60 test tasks were performed, 30 each. The test task consisted of dissecting and harvesting the ulnar and radial arteries of the second segment of a chicken wing using an exoscope (Aesculap AEOS). Each dissection was recorded on video and analyzed by two independent evaluators. We measured the time required to complete the task as well as several metrics for evaluating the manual skills of the dissection and handling of the exoscope system. There was a clear reduction in dissection time between the first and the last session, mean 34 min (SD 5.96) vs. 26 min (SD 8.69), respectively. At the end of the training, both neurosurgeons used the exoscope more efficiently utilizing more available options of the device. There was correlation between the dissection time and several of the factors we used for evaluating the work flow: staying in focus, zoom control, reduction of unnecessary movements or repetitive manual motions, manipulation technique of the vessel under dissection, handling of the instruments, and using them for multiple dissection purposes (stretching, cutting, and splitting). Continuous, dedicated long-term training program is effective for microsurgical skill development when switching from a microscope to an exoscope. With practice, the micromotor movements become more efficient and the use of microinstruments more versatile.

Identifiants

pubmed: 37369773
doi: 10.1007/s00701-023-05664-w
pii: 10.1007/s00701-023-05664-w
pmc: PMC10409657
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

2037-2044

Informations de copyright

© 2023. The Author(s).

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Auteurs

João M Silva (JM)

Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, P.O. Box 266, FI-00029, Helsinki, Finland.
Department of Neurosurgery, Centro Hospitalar Universitário do Porto, Porto, Portugal.

Oriela Rustemi (O)

Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, P.O. Box 266, FI-00029, Helsinki, Finland.
Department of Neurosurgery, San Bortolo Hospital, Viale Rodofi 37, 36100, Vicenza, Italy.

Donika Ivova Vezirska (DI)

Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, P.O. Box 266, FI-00029, Helsinki, Finland.
Medical University of Sofia, Sofia, Bulgaria.

Mika Niemelä (M)

Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, P.O. Box 266, FI-00029, Helsinki, Finland.

Martin Lehecka (M)

Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, P.O. Box 266, FI-00029, Helsinki, Finland.

Ahmad Hafez (A)

Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, P.O. Box 266, FI-00029, Helsinki, Finland. ahmad.hafez@hus.fi.
Bridge Hospital, Haartmaninkatu 4, PO Box 320, 00029 HUS, Helsinki, Finland. ahmad.hafez@hus.fi.

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Classifications MeSH