Literature DB >> 31786555

Multimaterial and multicolor 3D-printed model in training of transnasal endoscopic surgery for pituitary adenoma.

Jia-Ping Zheng1, Chu-Zhong Li2, Guo-Qiang Chen1.   

Abstract

OBJECTIVE: The aim of the present study was to investigate the practical value of a multimaterial and multicolor 3D-printed model in anatomical teaching, surgical training, and preoperative planning of transnasal endoscopic surgery for pituitary adenoma.
METHODS: Multimodality neuroimaging data were obtained in a 42-year-old healthy male volunteer and a 40-year-old female patient with an invasive nonfunctional pituitary adenoma. Three 3D-printed models were produced: a monomaterial and monocolor model, a monomaterial and multicolor model, and a multimaterial and multicolor model. The effects on anatomical teaching and surgical training for exposing the vidian nerve were assessed by 12 residents, and the training effect was validated on cadavers. The practical values for preoperative planning were evaluated by 6 experienced neurosurgeons. All evaluations were based on 5-point Likert questionnaires.
RESULTS: The multimaterial and multicolor model was superior to the monomaterial models in surgical training for exposing the vidian nerve (Fisher test; p < 0.05). In addition, the multimaterial and multicolor model was superior to the monomaterial models in anatomical teaching and preoperative planning (Friedman test; p < 0.05).
CONCLUSIONS: Multimaterial and multicolor 3D printing technology makes it convenient and efficient to produce a practical model for simulating individualized and complex anatomical structures in the sellar region. Furthermore, the multimaterial model can provide a more realistic manipulative experience for surgical training and facilitate the preoperative planning.

Entities:  

Keywords:  3D-printed model; EETSS = endoscopic endonasal transsphenoidal surgery; ICA = internal carotid artery; SCA = superior cerebellar artery; STL = stereolithography; anatomical teaching; multimaterial printed model; multimodality neuroimaging; pituitary adenoma; surgical training; transnasal endoscopic surgery

Mesh:

Substances:

Year:  2019        PMID: 31786555     DOI: 10.3171/2019.6.FOCUS19294

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  3 in total

1.  3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training.

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

2.  Correlation Analysis of Magnetic Resonance Imaging Characteristics and Prognosis of Invasive Pituitary Adenomas in Neurosurgery Hospitals.

Authors:  Jinan Bai; Xin Li; Ailiang Ge; Jianhua Gu
Journal:  J Healthc Eng       Date:  2022-04-21       Impact factor: 3.822

Review 3.  The Role of 3D Printing in Planning Complex Medical Procedures and Training of Medical Professionals-Cross-Sectional Multispecialty Review.

Authors:  Jarosław Meyer-Szary; Marlon Souza Luis; Szymon Mikulski; Agastya Patel; Finn Schulz; Dmitry Tretiakow; Justyna Fercho; Kinga Jaguszewska; Mikołaj Frankiewicz; Ewa Pawłowska; Radosław Targoński; Łukasz Szarpak; Katarzyna Dądela; Robert Sabiniewicz; Joanna Kwiatkowska
Journal:  Int J Environ Res Public Health       Date:  2022-03-11       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.