Aug 2026· Journal of Neurosurgery : Spine· pp.
1-6
· 0 citations· 28 references
Medicine
TL;DR
Computer-assisted planning with patient-specific rods accurately reproduced the intended PSO and segmental lumbar correction but did not reliably predict global sagittal parameters, suggesting current planning tools might require refinement to improve the accuracy of predicted postoperative alignment using pre-bent rods.
Abstract
Objective
Precise restoration of sagittal balance is a critical goal in adult spinal deformity surgery. Computer-assisted planning allows for patient-specific alignment targets and rod pre-bending, theoretically improving the accuracy of surgical correction. However, the correlation between planned and achieved alignment goals using pre-bent rods remains unclear. The aim of this study was to evaluate the accuracy of alignment correction in patients undergoing lumbar pedicle subtraction osteotomy (PSO) using UNiD-derived pre-bent rods, and to compare software-generated preoperative alignment targets with actual postoperative radiographic parameters.
Methods
A retrospective cohort study was performed of adults who underwent lumbar PSO with long-segment thoracolumbar fusion (≥ 6 levels) at a single academic center between 2018 and 2022. Inclusion criteria required UNiD preoperative planning, PSO performed at the planned level, use of patient-specific pre-bent rods, and complete radiographic data. Planned alignment targets were obtained from the UNiD platform and compared with immediate postoperative standing lateral radiographs. Absolute differences between preoperative-to-planned and preoperative-to-postoperative values were compared using paired t-tests. Effect sizes (Cohen's d) were calculated and post hoc power analysis was performed, with primary focus on pelvic incidence (PI), sagittal vertical axis, pelvic tilt, and PI minus lumbar lordosis (PI-LL).
Results
Twenty patients (60% female, median age 66.8 years) were included. The planned PSO angle closely matched the achieved correction (mean -24.2° planned vs -24.02° ± 7.31° postoperative, p = 0.94). Lumbar lordosis and L4-S1 lordosis exceeded planned correction, with a significant but modest increase at L4-S1 (p = 0.03). Pelvic parameters demonstrated the largest deviations from plan. Pelvic tilt correction exceeded predictions by a mean of 8.97° ± 7.10° (p < 0.01); the sagittal vertical axis was undercorrected by a mean of 36.37 ± 48.30 mm (p < 0.01); and PI changed more than anticipated (p = 0.01). PI-LL improved substantially from a mean of 29.73° ± 15.76° preoperatively to -3.23° ± 10.95° postoperatively (p < 0.001). The planned and achieved L1 pelvic angle did not differ significantly.
Conclusions
Computer-assisted planning with patient-specific rods accurately reproduced the intended PSO and segmental lumbar correction but did not reliably predict global sagittal parameters. These findings suggest that current planning tools might require refinement to improve the accuracy of predicted postoperative alignment using pre-bent rods and to minimize the risk of suboptimal outcomes.
Its systematic diameter underestimation and broad pair-level differences support its use as an initialization and review aid, with final sizing retained as a surgeon decision, but ASP did not provide interchangeable estimates of surgeon-selected dimensions.
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Zhi-Hao Qin, Jia-Ming Tan, Fan Yang et al.· Proceedings of the Instituti...· 0 citations
In the published literature on Lenke 5 AIS, PCOs are not routinely utilized during PSF and were not associated with significantly improved coronal or sagittal radiographic correction compared with PSF alone, suggesting selective case-by-case use of PCOs rather than routine use.
Tarun Mattikalli, Obinna Onyekachiuzoamaka, A. Kopelman et al.· Spine Deformity· 0 citations
Focusing on adding lordosis at the L4/5 and L5/S1 level will result in the greatest improvement in L1PA, suggesting that focusing on adding lordosis at the L4/5 and L5/S1 level will result in the greatest improvement in L1PA.
Harsh Jain, A. Sarikonda, T. Zeoli et al.· European spine journal· 0 citations
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MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
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