The Role of Robot-Assisted MIS Spinal Deformity Surgery
Advances in minimally invasive spine surgery have been in large part due to the navigated and robotic technologies that allow many traditionally open surgeries to be performed in a less invasive fashion, including spinal deformity surgery. In any spine surgery requiring deformity correction, extensive preoperative planning is required to prepare for the amount of correction that is needed often in all planes, as well as the size, strength, and alignment of implants, decompression, and fusion to achieve the corrective goal. Preoperative planning software allows for optimization of implant size and trajectory, as well as strategic planning of alignment
correction. The benefits of preoperative planning include: reduced risk of surgical complications and revision surgery, less intraoperative radiation exposure, a decrease in proximal facet joint violations, and the “single-pass” drilling of the pilot hole which may provide stronger bone purchase. These benefits support the role of robot-assisted minimally invasive spine surgery for many spinal deformity pathologies.
Source: Orosz LD, Thomson AE, Good CR.(2022). Technical Advances in Minimally Invasive SpineSurgery. SpringerLink,The Role of Robot-AssistedMIS Spinal Deformity Surgery (pp. 311-320). DOI: 10.1007/978-981-19-0175-1_28
Novel Artificial Intelligence Algorithm: An Accurate and Independent Measure of Spinopelvic Parameters
The analysis of sagittal alignment by measuring spinopelvic parameters has been widely adopted among spine surgeons globally, and sagittal imbalance is a well-documented cause of poor quality of life. These measurements are time-consuming but necessary to make, which creates a growing need for an automated analysis tool that measures spinopelvic parameters with speed, precision, and reproducibility without relying on user input. This study introduces and evaluates an algorithm based on artificial intelligence (AI) that fully automatically measures spinopelvic parameters. This application allows users to accurately obtain critical spinopelvic measurements automatically, which can be applied to clinical practice. This solution can assist physicians by saving time in routine work and by avoiding error-prone manual measurements.
Source: Orosz LD, Bhatt FR, Jazini E, Dreischarf M, Grover P, Grigorian JN, Roy R, Schuler TC,Good CR, Haines CM.Novel artificial intelligence algorithm: an accurate and independent measure of spinopelvic parameters. Journal of Neurosurgery.July 2022. https://doi.org/10.3171/2022.5.SPINE22109