Literature DB >> 27052513

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

Kosuke Kondo1, Naoyuki Harada1, Hiroyuki Masuda1, Nobuo Sugo2, Sayaka Terazono1, Shinichi Okonogi1, Yuki Sakaeyama1, Yutaka Fuchinoue1, Syunpei Ando1, Daisuke Fukushima1, Jun Nomoto1, Masaaki Nemoto1.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Entities:  

Keywords:  Mesh structure; Rapid prototyping model; Skull base tumor; Surgical simulation; Three-dimensional printer

Mesh:

Year:  2016        PMID: 27052513     DOI: 10.1007/s00701-016-2781-9

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  7 in total

1.  Nerves of Steel: a Low-Cost Method for 3D Printing the Cranial Nerves.

Authors:  Ramin Javan; Duncan Davidson; Afshin Javan
Journal:  J Digit Imaging       Date:  2017-10       Impact factor: 4.056

2.  3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training.

Authors:  Chul-Kee Park
Journal:  J Korean Neurosurg Soc       Date:  2022-06-28

Review 3.  3D Printed Organ Models for Surgical Applications.

Authors:  Kaiyan Qiu; Ghazaleh Haghiashtiani; Michael C McAlpine
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2018-03-28       Impact factor: 10.745

4.  3D printing materials and their use in medical education: a review of current technology and trends for the future.

Authors:  Justine Garcia; ZhiLin Yang; Rosaire Mongrain; Richard L Leask; Kevin Lachapelle
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2017-10-21

5.  A 3-Dimensional-Printed Spine Localizer: Introducing the Concept of Online Dissemination of Novel Surgical Instruments.

Authors:  Peyman Pakzaban
Journal:  Neurospine       Date:  2018-08-22

Review 6.  3D printed bone models in oral and cranio-maxillofacial surgery: a systematic review.

Authors:  Matteo Meglioli; Adrien Naveau; Guido Maria Macaluso; Sylvain Catros
Journal:  3D Print Med       Date:  2020-10-20

7.  Clinical application of patient-specific 3D printing brain tumor model production system for neurosurgery.

Authors:  Yun-Sik Dho; Doohee Lee; Teahyun Ha; So Young Ji; Kyung Min Kim; Ho Kang; Min-Sung Kim; Jin Wook Kim; Won-Sang Cho; Yong Hwy Kim; Young Gyu Kim; Sang Joon Park; Chul-Kee Park
Journal:  Sci Rep       Date:  2021-03-26       Impact factor: 4.379

  7 in total

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