Development of three-dimensional brain arteriovenous malformation model for patient communication and young neurosurgeon education

Dong, Mengqi; Chen, Guangzhong; Qin, Kun; Ding, Xiaowen; Zhou, Dong; Peng, Chao; Zeng, Su; Deng, Xianming

doi:10.1080/02688697.2018.1424320

Cited by 18 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3D models, highlighted herein, are significantly more expensive on a caseby-case basis than conventional equivalents, particularly when personalised to specific procedures or specific patient pathology. 13 Importantly, however, this is not uniformly the case when adopting digital platforms and a number of studies, including those by Thapa et al and Macyszyn et al, have demonstrated considerable net savings. 19,26 This has typically been through either low upfront costs associated with communication tools or organisational savings attributed to improved clinical outcomes or preventing the need for duplicate investigations, as is often the case in current clinical practice.…”

Section: Barriers To Implementationmentioning

confidence: 99%

“…Here both CT angiography and aneurysm clip data was uploaded to a virtual workstation and used to simulate clip placement from an array of different approaches, allowing surgeons to better understand potential exposure and obliteration of an aneurysm. Further work by Dong et al and Alaraj et al built on this, adding in real-time haptic feedback and concluding that these tools provided a close resemblance to real operative anatomy and accurate guidance for deciding surgical approaches 5,13. A similar study by Alsofy et al again used CT angiography to develop anatomically accurate 3D models of 26 pre-operative patients.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Digital Technology: Digital tools in neurosurgical pathways: considerations for the future

Deighton¹,

Chhatwal

2022

Future Healthcare Journal

View full text Add to dashboard Cite

With aspects of neurosurgery becoming increasingly digitised, there is a need to understand both the prevalence and impact of digital tools on clinical and organisational outcomes. Consequently, we sought to evaluate evidence of the use of digital tools in neurosurgical settings. We systematically searched three public databases for relevant articles: 283 articles were screened using inclusion/exclusion criteria, with 26 selected for further analysis. Many studies reported on the use of simulation, smartphones, telemedicine and robotics in neurosurgical pathways from education through to postoperative care. Though generally beneficial for both patient and organisational outcomes, a number of considerations were highlighted. Many referred to protection of patient data, cost and requirements to ensure socially disadvantaged groups are not further excluded by the move to digital services. Fortunately, with further innovation, many of these limitations look set to dissipate over coming years, paving the way for a more streamlined neurosurgical pathway.

show abstract

Section: Barriers To Implementationmentioning

confidence: 99%

mentioning

confidence: 99%

Digital Technology: Digital tools in neurosurgical pathways: considerations for the future

Deighton¹,

Chhatwal

2022

Future Healthcare Journal

View full text Add to dashboard Cite

show abstract

“…Some institutions are starting to model and print VMs integrating them into hydraulic circuits to create the most realistic representation of real VMs 97 . These printed models allow a more accurate planning of surgical and interventional procedures, and selecting the most appropriate approach 98 . 3D modeling is also able to reduce the learning curve of less experienced operators, helping them to train and gaining confidence with their procedures.…”

Section: Present and Future Insightsmentioning

confidence: 99%

Conventional and advanced MRI evaluation of brain vascular malformations

Martín-Noguerol

Concepción-Aramendía

Lim

et al. 2021

Journal of Neuroimaging

View full text Add to dashboard Cite

Vascular malformations (VMs) of the central nervous system (CNS) include a wide range of pathological conditions related to intra and extracranial vessel abnormalities. Although some VMs show typical neuroimaging features, other VMs share and overlap pathological and neuroimaging features that hinder an accurate differentiation between them. Hence, it is not uncommon to misclassify different types of VMs under the general heading of arteriovenous malformations. Thorough knowledge of the imaging findings of each type of VM is mandatory to avoid these inaccuracies. Conventional MRI sequences, including MR angiography, have allowed the evaluation of CNS VMs without using ionizing radiation. Newer MRI techniques, such as susceptibility‐weighted imaging, black blood sequences, arterial spin labeling, and 4D flow imaging, have an added value of providing physiopathological data in real time regarding the hemodynamics of VMs. Beyond MR images, new insights using 3D printed models are being incorporated as part of the armamentarium for a noninvasive evaluation of VMs. In this paper, we briefly review the pathophysiology of CNS VMs, focusing on the MRI findings that may be helpful to differentiate them. We discuss the role of each conventional and advanced MRI sequence for VMs assessment and provide some insights about the value of structured reports of 3D printing to evaluate VMs.

show abstract

“…44 Additive manufacturing technology is used to manufacture 3D models of the AVM and to facilitate the preoperative conversation with the patient and to serve as medical education for young surgeons. 45,46 Carotid endarterectomy (CE) has also entered the AM era. Before the advent of AM, CE depended on the patients' surgical exposition.…”

Section: Additive Manufacturing In Neurosurgerymentioning

confidence: 99%

Clinical Applications of Additive Manufacturing Models in Neurosurgery: a Systematic Review

Leal

Ramina

Aguiar

et al. 2021

Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery

View full text Add to dashboard Cite

Introduction Three-dimensional (3D) printing technologies provide a practical and anatomical way to reproduce precise tailored-made models of the patients and of the diseases. Those models can allow surgical planning, besides training and surgical simulation in the treatment of neurosurgical diseases. Objective The aim of the present article is to review the scenario of the development of different types of available 3D printing technologies, the processes involved in the creation of biomodels, and the application of those advances in the neurosurgical field. Methods We searched for papers that addressed the clinical application of 3D printing in neurosurgery on the PubMed, Ebsco, Web of Science, Scopus, and Science Direct databases. All papers related to the use of any additive manufacturing technique were included in the present study. Results Studies involving 3D printing in neurosurgery are concentrated on three main areas: (1) creation of anatomical tailored-made models for planning and training; (2) development of devices and materials for the treatment of neurosurgical diseases, and (3) biological implants for tissues engineering. Biomodels are extremely useful in several branches of neurosurgery, and their use in spinal, cerebrovascular, endovascular, neuro-oncological, neuropediatric, and functional surgeries can be highlighted. Conclusions Three-dimensional printing technologies are an exclusive way for direct replication of specific pathologies of the patient. It can identify the anatomical variation and provide a way for rapid construction of training models, allowing the medical resident and the experienced neurosurgeon to practice the surgical steps before the operation.

show abstract

Development of three-dimensional brain arteriovenous malformation model for patient communication and young neurosurgeon education

Abstract: Patient-specific 3D printed models of brain AVM can be constructed with high fidelity. 3D printed brain AVM models are proved to be helpful in preoperative patient consultation, surgical planning and resident training.

Cited by 18 publications

References 3 publications

Digital Technology: Digital tools in neurosurgical pathways: considerations for the future

Digital Technology: Digital tools in neurosurgical pathways: considerations for the future

Conventional and advanced MRI evaluation of brain vascular malformations

Clinical Applications of Additive Manufacturing Models in Neurosurgery: a Systematic Review

Contact Info

Product

Resources

About