Evidence map›Paper›PMID 30242780›Full record

ArticleJournal of digital imaging2019

3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses.

Asli Beril Karakas, Figen Govsa, Mehmet Asım Ozer, Cenk Eraslan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of digital imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Asli Beril KarakasDigital Imaging and 3D Modelling Laboratory, Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey.
Figen GovsaDigital Imaging and 3D Modelling Laboratory, Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey. figen.govsa@ege.edu.tr.ORCID 0000-0001-9635-6308
Mehmet Asım OzerDigital Imaging and 3D Modelling Laboratory, Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey.
Cenk EraslanDepartment of Radiology Faculty of Medicine, Ege University, Izmir, Turkey.
Ege University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The three-dimensional (3D) visualization of dural venous sinuses (DVS) networks is desired by surgical trainers to create a clear mental picture of the neuroanatomical orientation of the complex cerebral anatomy. Our purpose is to document those identified during routine 3D venography created through 3D models using two-dimensional axial images for teaching and learning neuroanatomy. Anatomical data were segmented and extracted from imaging of the DVS of healthy people. The digital data of the extracted anatomical surfaces was then edited and smoothed, resulting in a set of digital 3D models of the superior sagittal, inferior sagittal, transverse, and sigmoid, rectus sinuses, and internal jugular veins. A combination of 3D printing technology and casting processes led to the creation of realistic neuroanatomical models that include high-fidelity reproductions of the neuroanatomical features of DVS. The life-size DVS training models were provided good detail and representation of the spatial distances. Geometrical details between the neighboring of DVS could be easily manipulated and explored from different angles. A graspable, patient-specific, 3D-printed model of DVS geometry could provide an improved understanding of the complex brain anatomy. These models have various benefits such as the ability to adjust properties, to convert two-dimension images of the patient into three-dimension images, to have different color options, and to be economical. Neuroanatomy experts can model such as the reliability and validity of the designed models, enhance patient satisfaction with improved clinical examination, and demonstrate clinical interventions by simulation; thus, they teach neuroanatomy training with effective teaching styles.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingModels, AnatomicPrinting, Three-DimensionalAlgorithmsCerebral VeinsCranial SinusesHumansPhlebographyUser-Computer Interface3D neuroanatomical modelsBrain imagingClinical skillsDural venous sinusesMinimally invasive neurosurgeryNeurosurgical educationSurgical trainers

Identifiers

PMID30242780
PMCPMC6456638
OpenAlexW2889729111

What OpenQuestion holds

Textmetadata
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.