Evidence map›Paper›PMID 27506829›Full record

ArticleSurgical and radiologic anatomy : SRA2017

Visualization of the olfactory nerve using constructive interference in steady state magnetic resonance imaging.

Satoshi Tsutsumi, Hideo Ono, Yukimasa Yasumoto

Abstract read
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In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. On the Cranial Nerves.NeuroSci · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Review
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

3 authors.

Satoshi TsutsumiDepartment of Neurological Surgery, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan. shotaro@juntendo-urayasu.jp.
Hideo OnoDivision of Radiological Technology, Medical Satellite Yaesu Clinic, Tokyo, Japan.
Yukimasa YasumotoDepartment of Neurological Surgery, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu, Chiba, 279-0021, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe olfactory nerve (OlfN) is a small neural structure with inconsistent visualization on neuroimages. The aim of this study was to delineate the intracranial course of the OlfN using constructive interference in steady state magnetic resonance (MR) imaging.

methodsA total of 168 patients were enrolled in this study. Following initial examinations with conventional MR sequences, constructive interference in steady-state sequence (CISS) was performed in coronal and axial sections.

resultsOn coronal sections, the OlfN was entirely visualized in 90 % of patients on the right and 92 % on the left, coursing along the olfactory sulcus. Complete visualization of the OlfN occurred in 100 % of patients on serial axial images. The OlfN was classified into four portions based on the topographical differences and surrounding structures. The olfactory fossa exhibited considerable variability at the midlevel of the olfactory bulb on coronal images. Characteristic appearance of the OlfN with respect to age range or gender was not observed.

conclusionsThe OlfN follows a highly consistent course along the olfactory sulcus. Thin-sliced, CISS sequences are useful for consistent visualization of the OlfN.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsCadaverChildDissectionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOlfactory BulbOlfactory NerveSex FactorsCISS sequenceOlfactory fossaOlfactory nerveOlfactory sulcus

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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.