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Updated: Jan 6, 2026
Precision Measurements and Parametric Models of Vertebral Endplates
Published on: September 17, 2019
Automated measurement of spinopelvic alignment parameters using a spine planning software: a validation study
Ahmad Almahozi1, Anton Früh1, Tarik Alp Sargut1
1Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Background:
Accurate assessment of spinopelvic alignment is essential for managing adult spinal deformities. This study validates the Brainlab Elements Spine Planning software for automated measurement of spinopelvic parameters, comparing it with manual methods.
Methods:
Spinopelvic parameters were measured manually and with the software in 21 patients with degenerative spinal disease, including instrumented and non-instrumented spines. Accuracy, intraobserver, and interobserver reliability were evaluated using Bland-Altman plots and intraclass correlation coefficients (ICCs). Measurement times were also compared.
Results:
The software showed high reliability (ICC = 1), while manual measurements ranged from fair to excellent reliability (ICC 0.44-0.99). Bland-Altman plots indicated strong agreement between automated and manual measurements, though variability was noted for certain parameters. Automated measurements were significantly faster, averaging 62 s versus 227 s in manual measurements (p < 0.001), though 76.2% of cases had at least one parameter that could not be measured automatically, most frequently the sagittal vertical axis (SVA) and several coronal parameters.
Conclusion:
The Brainlab Elements software provides accurate, reproducible, and time-efficient spinopelvic measurements for parameters it successfully captures. However, frequent failures in assessing SVA and coronal plane parameters automatically suggest that further refinement of the software is necessary.
