Evidence map›Paper›PMID 42158055›Full record

ArticleJournal of spine surgery (Hong Kong)2026

Automated multi-objective pedicle screw planning.

Tobias Götschi, Gian Maranta, Frédéric Cornaz, Frederik Abel, Mazda Farshad, Jonas Widmer

Abstract read
In one paragraph

Article in Journal of spine surgery (Hong Kong), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

6 authors.

Tobias GötschiSpine Biomechanics, Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Gian MarantaSpine Biomechanics, Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Frédéric CornazSpine Biomechanics, Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Frederik AbelUniversity Spine Center Zurich, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Mazda FarshadDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Jonas WidmerSpine Biomechanics, Department of Orthopedic Surgery, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Posterior spinal fusion is a common procedure, but manual pedicle screw planning is time-consuming, cognitively demanding, and may not fully leverage patient-specific anatomy. Pedicle screws are vulnerable to loosening, a complication linked to poor anchorage. This study aimed to develop and evaluate an automated pedicle screw planning framework for multi-level fusion, designed to simultaneously optimize clinical safety, biomechanical stability, and screw head alignment. Methods: The proposed automated screw planning workflow was compared with clinical standard manual planning on 20 clinical computed tomography (CT) scans comprising 238 pedicle screws. The automated pipeline utilized neural network-based segmentation, template mesh fitting, and multi-objective optimization balancing clinical safety, biomechanical stability, and rod conformity. Clinical safety was assessed using the Gertzbein-Robbins classification system. Comparative analysis evaluated bone density coverage via Hounsfield unit (HU) measurements and screw head alignment through angular misalignment calculations. Results: Clinical safety assessment demonstrated high anatomical accuracy, with 87.8% grade A and 12.2% grade B screws per the Gertzbein-Robbins scale, with a median grade B breach of 0.8 mm. The automated method also achieved a median relative improvement of 74.9% (P<0.001) in HU coverage and a median relative improvement of 58.6% (P<0.001) in screw-head misalignment. The proposed automated pedicle screw planning pipeline yields clinically safe screw plans that may improve screw stability while reducing rod bending requirements. Conclusions: The assessed approach carries significant clinical potential in simplifying the intraoperative workflow while improving the surgical outcome.

Indexed as

biomechanicscomputer-assisted surgeryscrew looseningSpinal fusionsurgical navigation

Identifiers

PMID42158055
PMCPMC13181670

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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.