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A neurosurgical simulation of skull base tumors using a 3D printed rapid prototyping model containing mesh structures

Overview of attention for article published in Acta Neurochirurgica, April 2016
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Title
A neurosurgical simulation of skull base tumors using a 3D printed rapid prototyping model containing mesh structures
Published in
Acta Neurochirurgica, April 2016
DOI 10.1007/s00701-016-2781-9
Pubmed ID
Authors

Kosuke Kondo, Naoyuki Harada, Hiroyuki Masuda, Nobuo Sugo, Sayaka Terazono, Shinichi Okonogi, Yuki Sakaeyama, Yutaka Fuchinoue, Syunpei Ando, Daisuke Fukushima, Jun Nomoto, Masaaki Nemoto

Abstract

Deep regions are not visible in three-dimensional (3D) printed rapid prototyping (RP) models prepared from opaque materials, which is not the case with translucent images. The objectives of this study were to develop an RP model in which a skull base tumor was simulated using mesh, and to investigate its usefulness for surgical simulations by evaluating the visibility of its deep regions. A 3D printer that employs binder jetting and is mainly used to prepare plaster models was used. RP models containing a solid tumor, no tumor, and a mesh tumor were prepared based on computed tomography, magnetic resonance imaging, and angiographic data for four cases of petroclival tumor. Twelve neurosurgeons graded the three types of RP model into the following four categories: 'clearly visible,' 'visible,' 'difficult to see,' and 'invisible,' based on the visibility of the internal carotid artery, basilar artery, and brain stem through a craniotomy performed via the combined transpetrosal approach. In addition, the 3D positional relationships between these structures and the tumor were assessed. The internal carotid artery, basilar artery, and brain stem and the positional relationships of these structures with the tumor were significantly more visible in the RP models with mesh tumors than in the RP models with solid or no tumors. The deep regions of PR models containing mesh skull base tumors were easy to visualize. This 3D printing-based method might be applicable to various surgical simulations.

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Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 13%
Student > Ph. D. Student 5 11%
Student > Master 5 11%
Student > Doctoral Student 5 11%
Other 3 7%
Other 12 26%
Unknown 10 22%
Readers by discipline Count As %
Medicine and Dentistry 15 33%
Engineering 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Business, Management and Accounting 2 4%
Other 6 13%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 April 2016.
All research outputs
#20,318,358
of 22,860,626 outputs
Outputs from Acta Neurochirurgica
#1,679
of 1,918 outputs
Outputs of similar age
#255,132
of 301,073 outputs
Outputs of similar age from Acta Neurochirurgica
#19
of 23 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,918 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.