Evidence map›Paper›PMID 29947092›Full record

ArticleHead & neck2018

Visualization of nerve fibers around the carotid bifurcation with use of a 9.4 Tesla microscopic magnetic resonance diffusion tensor imaging with tractography.

Shin Saito, Hiroyuki Ozawa, Masato Fujioka, Keigo Hikishima, Junichi Hata, Sho Kurihara, Hirotaka James Okano, Kaoru Ogawa

Abstract read
In one paragraph

Article in Head & neck, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Shin SaitoDepartment of Otolaryngology - Head and Neck Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-2912-7868
Hiroyuki OzawaDepartment of Otolaryngology - Head and Neck Surgery, Keio University School of Medicine, Tokyo, Japan.
Masato FujiokaDepartment of Otolaryngology - Head and Neck Surgery, Keio University School of Medicine, Tokyo, Japan.
Keigo HikishimaOkinawa Institute of Science and Technology, Tokyo, Japan.
Junichi HataDepartment of Physiology, Keio University School of Medicine, Tokyo, Japan.
Sho KuriharaDepartment of Otorhinolaryngology, Keio University School of Medicine, Tokyo, Japan.
Hirotaka James OkanoDivision of Regenerative Medicine, the Jikei University School of Medicine, Tokyo, Japan.
Kaoru OgawaDepartment of Otolaryngology - Head and Neck Surgery, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecise imaging of nerves have been challenging in the head and neck region, mainly due to low spatial resolution. Here, we investigated how nerves in the head and neck region could be visualized using an ultra-high magnetic field MR system.

methodsWe used formol-carbol-fixed human cadaveric necks and obtained MR diffusion tensor images (DTIs) using a 9.4 Tesla (T) ultra-high magnetic field MR system. Afterward, we prepared tissue sections and checked the anatomic relationships between the neurons and the carotid artery in order to confirm that the visualized fibers are indeed neuron fibers.

resultsWe were able to identify nerves, including the vagus nerve, the hypoglossal nerve, and the spinal-accessory nerve. Hematoxylin-eosin stained histological sections confirmed neuron fibers in the same anatomic position.

conclusionThis technique has the feasibility to be applied for a more accurate anatomic understanding, maybe even close to a histological level.

Indexed as

Aged, 80 and overCadaverCarotid ArteriesCranial NervesDiffusion Tensor ImagingHumansJugular Veinshead and neckMR diffusion tensor imagingMR diffusion tensor tractographypostmortem studyultra-high magnetic field MR

Identifiers

PMID29947092
PMCPMC6220873

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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.