Evidence map›Paper›PMID 41307837›Full record

ArticleSpine deformity2026

Automated measurement of spinopelvic alignment parameters using a spine planning software: a validation study.

Ahmad Almahozi, Anton Früh, Tarik Alp Sargut, Tizian Rosenstock, Claudius Jelgersma, Anna L Roethe, Dimitri Tkatschenko, Peter Truckenmueller, Joan Alsolivany, Kiarash Ferdowssian and 3 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Spine deformity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ahmad AlmahoziDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Anton FrühDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Tarik Alp SargutDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Tizian RosenstockDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Claudius JelgersmaDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Anna L RoetheDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Dimitri TkatschenkoDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Peter TruckenmuellerDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Joan AlsolivanyDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Kiarash FerdowssianDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Nils HechtDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Peter VajkoczyDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany. peter.vajkoczy@charite.de.
Lars WesselsDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate 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.

methodsSpinopelvic 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.

resultsThe 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.

conclusionThe 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.

Indexed as

PelvisSoftwareSpineAdultAgedFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsAutomated measurementBrainlab ElementsSpinal deformitySpine planning softwareSpinopelvic alignmentValidation study

Identifiers

PMID41307837
PMCPMC12909372

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.