Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Resident Training in Minimally Invasive Spine Surgery: A Scoping Review. |
| Συγγραφείς: |
Oblich, Michael C., Lyman, James G., Jain, Rishi, Prasad, Dillan, Romanos, Sharbel, Dahdaleh, Nader, El Tecle, Najib E., Ahuja, Christopher S. |
| Πηγή: |
Brain Sciences (2076-3425); Sep2025, Vol. 15 Issue 9, p936, 16p |
| Θεματικοί όροι: |
Spinal surgery, Training of medical residents, Neurosurgery, Experiential learning, Learning curve, Operative surgery, Teaching methods, Residents (Medicine) |
| Περίληψη: |
Background/Objectives: Minimally invasive spine surgery (MISS) is complex and requires proficiency with a variety of technological and robotic modalities. Acquiring these skills is a long and involved process, often with a steep learning curve. This paper seeks to characterize the state of MISS training in neurosurgical and orthopedic residency programs, focusing on their effectiveness at minimizing substantial learning curves in the field, as well as highlighting potential areas for future growth. Methods: We conducted a scoping review of the PubMed, Scopus, and Embase databases utilizing the PRISMA extension for scoping reviews. Results: Of the 100 studies initially identified, 16 were included in our final analysis. MISS training types could be broadly grouped into four categories: virtual simulation (including AR and VR), physical models, hybrid didactic and simulation, and mentored training. Training with these modalities led to improvements in resident performance across multiple different MISS techniques, including percutaneous pedicle screw fixation, MIS dural repair, MIS-TLIF, MIS-LLIF, MIS-ULBD, microscopic discectomy/disk herniation repair, percutaneous needle placement, and surgical navigation. Specific improvements included reduced error rate, operation time, and fluoroscopy exposure, as well as increased procedural knowledge, accuracy, and confidence. Conclusions: The incorporation of MISS training modalities in spine surgery residency leads to increases in simulated performance and could serve as a means of overcoming significant learning curves in the field. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Biomedical Index |