A small 3D-printing model of macroadenomas for endoscopic endonasal surgery

Huang, Xing; Liu, Zhen; Wang, Xuan; Li, Xudong; Cheng, Kai; Zhou, Yan; Jiang, Xiaobing

doi:10.1007/s11102-018-0927-x

Cited by 24 publications

(21 citation statements)

References 30 publications

(24 reference statements)

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“…A particular focus of these early models has been the visual appearance and aesthetics with respect to mimicking human tissue. Other workers have explored the use of 3D printed patient-specific models to inform surgical planning, and have demonstrated benefits in terms of operative duration and volume of blood loss in a group of 10 patients (compared with control subjects undergoing surgery not informed by a 3D anatomical model) [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

“…Importantly, guidelines have been developed for the use of 3D printing in clinical practice, including for cardiac, hepatobiliary, gastrointestinal and other conditions where it may have a potential role in informing management [ 20 – 22 ]. However to our knowledge these guidelines do not make specific mention to the pituitary gland although a small number of studies have shown the feasibility of 3D printing of pituitary tumors [ 23 – 25 ].…”

Section: Introductionmentioning

confidence: 99%

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Methods of 3D printing models of pituitary tumors

et al. 2021

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Background Pituitary adenomas can give rise to a variety of clinical disorders and surgery is often the primary treatment option. However, preoperative magnetic resonance imaging (MRI) does not always reliably identify the site of an adenoma. In this setting molecular (functional) imaging (e.g. 11C-methionine PET/CT) may help with tumor localisation, although interpretation of these 2D images can be challenging. 3D printing of anatomicalal models for other indications has been shown to aid surgical planning and improve patient understanding of the planned procedure. Here, we explore the potential utility of four types of 3D printing using PET/CT and co-registered MRI for visualising pituitary adenomas. Methods A 3D patient-specific model based on a challenging clinical case was created by segmenting the pituitary gland, pituitary adenoma, carotid arteries and bone using contemporary PET/CT and MR images. The 3D anatomical models were printed using VP, MEX, MJ and PBF 3D printing methods. Different anatomicalal structures were printed in color with the exception of the PBF anatomical model where a single color was used. The anatomical models were compared against the computer model to assess printing accuracy. Three groups of clinicians (endocrinologists, neurosurgeons and ENT surgeons) assessed the anatomical models for their potential clinical utility. Results All of the printing techniques produced anatomical models which were spatially accurate, with the commercial printing techniques (MJ and PBF) and the consumer printing techniques (VP and MEX) demonstrating comparable findings (all techniques had mean spatial differences from the computer model of < 0.6 mm). The MJ, VP and MEX printing techniques yielded multicolored anatomical models, which the clinicians unanimously agreed would be preferable to use when talking to a patient; in contrast, 50%, 40% and 0% of endocrinologists, neurosurgeons and ENT surgeons respectively would consider using the PBF model. Conclusion 3D anatomical models of pituitary tumors were successfully created from PET/CT and MRI using four different 3D printing techniques. However, the expert reviewers unanimously preferred the multicolor prints. Importantly, the consumer printers performed comparably to the commercial MJ printing technique, opening the possibility that these methods can be adopted into routine clinical practice with only a modest investment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Methods of 3D printing models of pituitary tumors

et al. 2021

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“…For example, in terms of preoperative planning, 3D‐printed models can be produced based on specific patient anatomy. This allows surgeons to better prepare for anatomical challenges and rehearse surgical maneuvers outside of the operative setting, thereby improving surgical performance and outcomes 40 . These models are also often portable or digitally transferrable such that they can be printed in multiple locations.…”

Section: Discussionmentioning

confidence: 99%

Simulation training in endoscopic skull base surgery: A scoping review

James

Irace

Gudis

et al. 2022

World j. otorhinolaryngol.-head neck surg.

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Objective Proficiency in endoscopic endonasal skull base surgery requires both substantial baseline training and progressive lifelong learning. Endoscopic simulation models continue to evolve in an effort to optimize trainee education and preoperative preparation and improve surgical outcomes. The current scoping review systematically reviews all available literature and synthesizes the current paradigms of simulation models for endoscopic skull base surgery training and skill enhancement. Methods In accordance with Preferred Reporting Items for Systemic Review and Meta‐Analyses guidelines, we systematically searched PubMed, Embase, CINAHL, and Cochrane databases. Studies were categorized according to the type of simulation models investigated. Results We identified 238 unique references, with 55 studies ultimately meeting inclusion criteria. Of these, 19 studies described cadaveric dissection models, 17 discussed three‐dimensional (3D) printed models, 14 examined virtual surgical planning and augmented reality‐based models, and five 5 articles described task trainers. Conclusions There are a wide variety of simulation models for endoscopic skull base surgery, including high‐fidelity cadaveric, virtual reality, and 3D‐printed models. These models are an asset for trainee development and preoperative surgical preparation.

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“…AM provides excellent potential for doctors and researchers to create new ideas to understand complex human systems. 20,21…”

Section: Additive Manufacturingmentioning

confidence: 99%

3D printing applications for the treatment of cancer

Haleem

Javaid

Vaishya

2020

Clinical Epidemiology and Global Health

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Additive manufacturing (AM) is an innovation in today's medical field. It helps create a patient-specific 3D model of bones, nerves, organs and blood vessel. Now, doctors and surgeons have successfully applied this technology to plan different types of treatments and also cancers. The purpose of this paper is to study the requirements and applications of AM for cancer treatment. Methods: Today AM is used for the application of regenerative medicine. It can help develop and improve invitro models in the tumour microenvironment. Thus, to identify its applications, related research papers on AM for cancer are studied. Results: 3D printing technology has a unique capability to manufacture tumour models. It helps to understand the status of the whole tumor. Here in this paper, we studied the capabilities of AM technologies for cancer treatment. This study discusses necessary process steps, followed by 3D printing and finally identified significant applications of these technologies for cancer treatment with a brief description. Conclusion: 3D printed tumor helps to provide faithful studies on metastasis. These models create a promising platform to construct biomimetic models. By accurate manufacturing of in vitro model, this technology seems to be the best tool to facilitate complex treatment, surgery and therapies. It shows great potential for the printing of organs. This technology is time-saving and avoids time-consuming processes. It has been analysed that AM helps in reducing the duration of treatment of a cancer patient. Researchers are focusing on reducing pain during therapies. They have also tested 3D printed tumor models for different drugs, to eliminate the risks. These models play a significant role in courses of treatments.

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A small 3D-printing model of macroadenomas for endoscopic endonasal surgery

Cited by 24 publications

References 30 publications

Methods of 3D printing models of pituitary tumors

Methods of 3D printing models of pituitary tumors

Simulation training in endoscopic skull base surgery: A scoping review

3D printing applications for the treatment of cancer

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