Evidence map›Paper›PMID 37045878›Full record

ArticleScientific reports2023

Sonification as a reliable alternative to conventional visual surgical navigation.

Sasan Matinfar, Mehrdad Salehi, Daniel Suter, Matthias Seibold, Shervin Dehghani, Navid Navab, Florian Wanivenhaus, Philipp Fürnstahl, Mazda Farshad, Nassir Navab

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Noise levels in tele-operated robotic-assisted surgery-a phase-based analysis.International journal of computer assisted radiology and surgery · 2026
    Article
  2. Global analysis and prospects of assisted pedicle screw placement surgery: a bibliometric study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  3. Article
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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

10 authors.

Sasan Matinfar *Computer Aided Medical Procedures (CAMP), Technical University of Munich, 85748, Munich, Germany. Sasan.Matinfar@tum.de.
Mehrdad Salehi *Computer Aided Medical Procedures (CAMP), Technical University of Munich, 85748, Munich, Germany.
Daniel SuterDepartment of Orthopaedics, Balgrist University Hospital, 8008, Zurich, Switzerland.
Matthias SeiboldComputer Aided Medical Procedures (CAMP), Technical University of Munich, 85748, Munich, Germany.
Shervin DehghaniComputer Aided Medical Procedures (CAMP), Technical University of Munich, 85748, Munich, Germany.
Navid NavabTopological Media Lab, Concordia University, Montreal, H3G 2W1, Canada.
Florian WanivenhausDepartment of Orthopaedics, Balgrist University Hospital, 8008, Zurich, Switzerland.
Philipp FürnstahlResearch in Orthopedic Computer Science (ROCS), Balgrist University Hospital, University of Zurich, Balgrist Campus, 8008, Zurich, Switzerland.
Mazda FarshadDepartment of Orthopaedics, Balgrist University Hospital, 8008, Zurich, Switzerland.
Nassir NavabComputer Aided Medical Procedures (CAMP), Technical University of Munich, 85748, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the undeniable advantages of image-guided surgical assistance systems in terms of accuracy, such systems have not yet fully met surgeons' needs or expectations regarding usability, time efficiency, and their integration into the surgical workflow. On the other hand, perceptual studies have shown that presenting independent but causally correlated information via multimodal feedback involving different sensory modalities can improve task performance. This article investigates an alternative method for computer-assisted surgical navigation, introduces a novel four-DOF sonification methodology for navigated pedicle screw placement, and discusses advanced solutions based on multisensory feedback. The proposed method comprises a novel four-DOF sonification solution for alignment tasks in four degrees of freedom based on frequency modulation synthesis. We compared the resulting accuracy and execution time of the proposed sonification method with visual navigation, which is currently considered the state of the art. We conducted a phantom study in which 17 surgeons executed the pedicle screw placement task in the lumbar spine, guided by either the proposed sonification-based or the traditional visual navigation method. The results demonstrated that the proposed method is as accurate as the state of the art while decreasing the surgeon's need to focus on visual navigation displays instead of the natural focus on surgical tools and targeted anatomy during task execution.

Indexed as

Pedicle ScrewsSpinal FusionSurgery, Computer-AssistedLumbar VertebraePhantoms, Imaging

Identifiers

PMID37045878
PMCPMC10097653

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Registered trials

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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.