Evidence map›Paper›PMID 37328641›Full record

ArticleEuropean radiology2023

Diffusion MRI of the facial-vestibulocochlear nerve complex: a prospective clinical validation study.

Jonathan Shapey, Sjoerd B Vos, Laura Mancini, Brett Sanders, John S Thornton, Jacques-Donald Tournier, Shakeel R Saeed, Neil Kitchen, Sherif Khalil, Patrick Grover and 7 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Facial Nerve Tractography of Vestibular Schwannomas: A Systematic Review of MR Acquisition and Analysis Pipelines.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Pooled it
  2. Article
  3. Article
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

17 authors at 4 institutions in 1 country.

Jonathan ShapeySchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. jonathan.shapey@kcl.ac.uk.ORCID http://orcid.org/0000-0003-0291-348X
Sjoerd B VosCentre for Medical Image Computing, University College London, London, UK.ORCID http://orcid.org/0000-0002-8502-4487
Laura ManciniNeuroradiological Academic Unit, UCL Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0002-4596-3551
Brett SandersDepartment of Neurophysiology, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
John S ThorntonNeuroradiological Academic Unit, UCL Institute of Neurology, London, UK.
Jacques-Donald TournierSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0001-5591-7383
Shakeel R SaeedDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.ORCID http://orcid.org/0000-0002-2316-5655
Neil KitchenDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.ORCID http://orcid.org/0000-0002-1655-5970
Sherif KhalilDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
Patrick GroverDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.ORCID http://orcid.org/0000-0002-7822-1239
Robert BradfordDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
Reuben DorentSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-7530-0644
Rachel SparksSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-1553-7903
Tom VercauterenSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-1794-0456
Tarek YousryNeuroradiological Academic Unit, UCL Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0003-3295-0628
Sotirios BisdasNeuroradiological Academic Unit, UCL Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0001-9930-5549
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-5694-5340
National Hospital for Neurology and Neurosurgery · GBKing's College London · GBRoyal National Throat Nose and Ear Hospital · GBUniversity College London · GB

Funding

Medical Research Council M C_PC_17180Wellcome TrustWellcome Trust 203145Z/16/ZWellcome Trust 203148/Z/16/ZWellcome Trust WT106882
6 · The paper itself

Abstract

objectivesSurgical planning of vestibular schwannoma surgery would benefit greatly from a robust method of delineating the facial-vestibulocochlear nerve complex with respect to the tumour. This study aimed to optimise a multi-shell readout-segmented diffusion-weighted imaging (rs-DWI) protocol and develop a novel post-processing pipeline to delineate the facial-vestibulocochlear complex within the skull base region, evaluating its accuracy intraoperatively using neuronavigation and tracked electrophysiological recordings.

methodsIn a prospective study of five healthy volunteers and five patients who underwent vestibular schwannoma surgery, rs-DWI was performed and colour tissue maps (CTM) and probabilistic tractography of the cranial nerves were generated. In patients, the average symmetric surface distance (ASSD) and 95% Hausdorff distance (HD-95) were calculated with reference to the neuroradiologist-approved facial nerve segmentation. The accuracy of patient results was assessed intraoperatively using neuronavigation and tracked electrophysiological recordings.

resultsUsing CTM alone, the facial-vestibulocochlear complex of healthy volunteer subjects was visualised on 9/10 sides. CTM were generated in all 5 patients with vestibular schwannoma enabling the facial nerve to be accurately identified preoperatively. The mean ASSD between the annotators' two segmentations was 1.11 mm (SD 0.40) and the mean HD-95 was 4.62 mm (SD 1.78). The median distance from the nerve segmentation to a positive stimulation point was 1.21 mm (IQR 0.81-3.27 mm) and 2.03 mm (IQR 0.99-3.84 mm) for the two annotators, respectively.

conclusionsrs-DWI may be used to acquire dMRI data of the cranial nerves within the posterior fossa. CLINICAL RELEVANCE STATEMENT: Readout-segmented diffusion-weighted imaging and colour tissue mapping provide 1-2 mm spatially accurate imaging of the facial-vestibulocochlear nerve complex, enabling accurate preoperative localisation of the facial nerve. This study evaluated the technique in 5 healthy volunteers and 5 patients with vestibular schwannoma. KEY POINTS: • Readout-segmented diffusion-weighted imaging (rs-DWI) with colour tissue mapping (CTM) visualised the facial-vestibulocochlear nerve complex on 9/10 sides in 5 healthy volunteer subjects. • Using rs-DWI and CTM, the facial nerve was visualised in all 5 patients with vestibular schwannoma and within 1.21-2.03 mm of the nerve's true intraoperative location. • Reproducible results were obtained on different scanners.

Indexed as

Neuroma, AcousticDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFacial NerveHumansProspective StudiesVestibulocochlear NerveCranial nervesDiffusion magnetic resonance imagingMagnetic resonance imagingVestibular schwannoma

Identifiers

PMID37328641
PMCPMC10598116
OpenAlexW4381046825

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.