Non-cadaveric spine surgery simulator training in neurosurgical residency
2024

Training Neurosurgeons with Spine Simulators

Sample size: 16 publication Evidence: moderate

Author Information

Author(s): Pöser Paul MD, Schenk Robert MD, Miller Hannah MD, Alghamdi Ahmad MD, Lavalley Adrien MD, Tielking Katharina MD, Nissimov Nitzan MD, Früh Anton MD, Chakkalakal Denny MD, Patsouris Victor MD, Sargut Tarik Alp MD, Mertens Robert MD, Xu Ran MD, Truckenmüller Peter MD, Ferdowssian Kiarash MD, Rösler Judith MD, Wasilewski David MD, Jelgersma Claudius MD, Roethe Anna MD, Sanchin Aminaa MD, Vajkoczy Peter MD, Picht Thomas MD, Onken Julia Sophie PD, MD

Primary Institution: Charité - Universitätsmedizin Berlin

Hypothesis

Can non-cadaveric spine simulator training improve the skills of neurosurgical residents?

Conclusion

Spine simulator training was well-received and resulted in improvements in both mental concept and microsurgical performance.

Supporting Evidence

  • Participants rated the simulator training favorably, with a median score of 8/10 across 6 categories.
  • The learning curve study showed a 30% improvement in microsurgical performance.
  • The completion rate of herniated disc removal increased from 50% at T2 to 100% at T3 and T4.
  • Self-assessments revealed significantly improved skills across all participants.

Takeaway

This study shows that using a spine simulator helps neurosurgery students learn better and become more skilled at surgery.

Methodology

Sixteen neurosurgical residents used a spine simulator and were evaluated on their performance and acceptance of the training.

Potential Biases

The novelty of the simulator might have influenced participants' performance.

Limitations

The small sample size limits the statistical power and the study did not assess long-term retention of skills.

Participant Demographics

Participants were neurosurgical residents in their PGY-1 to PGY-6 years.

Statistical Information

P-Value

0.035

Statistical Significance

p=0.035

Digital Object Identifier (DOI)

10.1016/j.xnsj.2024.100573

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