Evidence map›Paper›PMID 41815644›Full record

ArticleBrain & spine2026

Enhancing precision in robotic navigated minimally invasive transforaminal lumbar interbody fusion using a streamlined surgical workflow: a technical note.

Gianluca Vadalà, Fabrizio Russo, Giuseppe Francesco Papalia, Luca Ambrosio, Domenico Franco, Girolamo Maltese, Niccolò Nardi, Rocco Papalia, Vincenzo Denaro

Abstract read
In one paragraph

Article in Brain & spine, 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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0citing papers in PubMed
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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

9 authors.

Gianluca VadalàResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Fabrizio RussoResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Giuseppe Francesco PapaliaResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Luca AmbrosioResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Domenico FrancoResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Girolamo MalteseResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Niccolò NardiResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Rocco PapaliaResearch Unit of Orthopaedic and Trauma Surgery, Departmental Faculty of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Rome, Italy.
Vincenzo DenaroOperative Research Unit of Orthopaedic and Trauma Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Minimally invasive spine surgery has evolved through the integration of advanced imaging, navigation, and robotics. However, standardized workflows combining these technologies with intraoperative neuromonitoring remain limited. Research question: This technical note presents a stepwise approach for robot-assisted, navigated, and neuromonitored minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF). Material and methods: We describe a complete workflow using intraoperative cone beam computed tomography (CBCT) for anatomical registration, robotic arm alignment for pedicle screw trajectory guidance, and real-time triggered electromyography (tEMG) to verify screw path safety. A drill-based technique is adopted for screw placement, followed by posterior decompression and navigated interbody cage placement. An illustrative case of L4-L5 spondylolisthesis is presented to demonstrate the feasibility of this method. Results: This workflow enables navigation-based, intraoperative imaging-guided pedicle screw placement and optimized interbody cage positioning under direct neuromonitoring feedback. In the illustrative case, all screws were placed within pedicle boundaries without breaching, and optimal cage insertion was confirmed with intraoperative CBCT. The integration of robotic guidance and real-time tEMG guaranteed both surgical accuracy and intraoperative confidence. Discussion and conclusion: The described technique demonstrates how combining robotics, navigation, and neuromonitoring can streamline MIS-TLIF procedures. This approach may offer a high level of precision, promote reproducibility across surgical teams, and serve as an educational platform for the next generation of spine surgeons.

Indexed as

Cone beam computed tomographyIntraoperative imagingLumbar interbody fusionMinimally invasive spine surgeryRobotic navigationSurgical workflow

Identifiers

PMID41815644
PMCPMC12972731

What OpenQuestion holds

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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.