Evidence map›Paper›PMID 30635049›Full record

ArticleJournal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale2019

Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery.

Kylen Van Osch, Daniel Allen, Bradley Gare, Thomas J Hudson, Hanif Ladak, Sumit K Agrawal

Open access · goldAbstract read
In one paragraph

Article in Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Automated Registration-Based Temporal Bone Computed Tomography Segmentation for Applications in Neurotologic Surgery.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2022
    Article
  11. Surgical anatomy of the transcanal infracochlear approach.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    Article
  12. Clinical Application of Augmented Reality in Computerized Skull Base Surgery.Evidence-based complementary and alternative medicine : eCAM · 2022
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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

6 authors at 1 institution in 1 country.

Kylen Van OschSchulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Daniel AllenDepartment of Electrical and Computer Engineering, Western University, London, Ontario, N6A 5C1, Canada.
Bradley GareDepartment of Electrical and Computer Engineering, Western University, London, Ontario, N6A 5C1, Canada.
Thomas J HudsonSchulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Hanif LadakDepartment of Medical Biophysics, Western University, London, Ontario, N6A 5C1, Canada.
Sumit K AgrawalDepartment of Otolaryngology - Head and Neck Surgery, Western University, London, Ontario, N6A 5C1, Canada. Sumit.Agrawal@lhsc.on.ca.
Western University · CA

Funding

Collaborative Health Research Projects 381117
6 · The paper itself

Abstract

objectivesThe primary objective of this study was to use high-resolution micro-CT images to create accurate three-dimensional (3D) models of several intratemporal structures, and to compare several surgically important dimensions within the temporal bone. The secondary objective was to create a statistical shape model (SSM) of a dominant and non-dominant sigmoid sinus (SS) to provide a template for automated segmentation algorithms.

methodsA free image processing software, 3D Slicer, was utilized to create three-dimensional reconstructions of the SS, jugular bulb (JB), facial nerve (FN), and external auditory canal (EAC) from micro-CT scans. The models were used to compare several clinically important dimensions between the dominant and non-dominant SS. Anatomic variability of the SS was also analyzed using SSMs generated using the Statismo software framework.

resultsThree-dimensional models from 38 temporal bones were generated and analyzed. Right dominance was observed in 74% of the paired SSs. All distances were significantly shorter on the dominant side (p < 0.05), including: EAC - SS (dominant: 13.7 ± 3.4 mm; non-dominant: 15.3 ± 2.7 mm), FN - SS (dominant: 7.2 ± 1.8 mm; non-dominant: 8.1 ± 2.3 mm), 2nd genu FN - superior tip of JB (dominant: 8.7 ± 2.2 mm; non-dominant: 11.2 ± 2.6 mm), horizontal distance between the superior tip of JB - descending FN (dominant: 9.5 ± 2.3 mm; non-dominant: 13.2 ± 3.5 mm), and horizontal distance between the FN at the stylomastoid foramen - JB (dominant: 5.4 ± 2.2 mm; non-dominant: 7.7 ± 2.1). Analysis of the SSMs indicated that SS morphology is most variable at its junction with the transverse sinus, and least variable at the JB.

conclusionsThis is the first known study to investigate the anatomical variation and relationships of the SS using high resolution scans, 3D  models and statistical shape analysis. This analysis seeks to guide neurotological surgical approaches and provide a template for automated segmentation and surgical simulation.

Indexed as

AlgorithmsCadaverCranial SinusesHumansImaging, Three-DimensionalModels, AnatomicNeurotologyTemporal BoneX-Ray MicrotomographyAnatomyJugular bulb - facial nerveNeurotologySigmoid sinusStatistical shape modelSurgical simulationTransverse sinus

Identifiers

PMID30635049
PMCPMC6329078
OpenAlexW2915249490

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.