scholarly journals 855 Patient Specific Digital Modelling And 3D Printing of Abdominal Anatomy- The Next Frontier in Surgical Simulation?

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
J Fletcher ◽  
C Myles ◽  
D Miskovic ◽  
J Jones ◽  
R Cahill
Keyword(s):  
3D Printing ◽  
Injection Moulding ◽  
Surgical Simulation ◽  
Low Cost ◽  
Physical Models ◽  
Patient Specific ◽  
Phase Imaging ◽  
Imaging Data ◽  
Digital Models ◽  
Operative Planning

Abstract Introduction Innovations in digital technologies afford new opportunities in surgical education. We describe a novel method of combining medical imaging data with virtual 3D modelling and printing techniques that could facilitate patient specific pre-operative planning and rehearsal. Method A series of silicone castings was produced to simulate upper abdominal viscera using a novel polyvinyl alcohol (PVA) injection moulding method. Digital models were generated by segmenting CT dual phase imaging in ITK-SNAP. A 3D polygon mesh was exported and optimised in the computer graphics software: Blender. Two 3D printers were used to manufacture a dissolvable mould of the digital models. Moulds were injected with coloured silicones and dissolved in water to reveal the multicolour/multi-material models. Results The silicone models retained the anatomical detail of the digitally segmented CT data sets. The multi-colour models were achieved with a single print and at very low cost (approx. £248/ model) and possessed varying shore hardness between viscera recreating lifelike fidelity. Conclusions The hybrid 3D printing/injection moulding method offers an avenue to realistic surgical and anatomical simulation. A combination of both virtual models and 3D physical models may provide an enhanced surgical experience for preoperative and intraoperative planning allowing patient specific rehearsal.

scholarly journals Accessing 3D Printed Vascular Phantoms for Procedural Simulation

2021 ◽  
Vol 7 ◽  
Author(s):  
Jasamine Coles-Black ◽  
Damien Bolton ◽  
Jason Chuen
Keyword(s):  
3D Printing ◽  
Endovascular Procedures ◽  
Low Cost ◽  
3D Models ◽  
Routine Care ◽  
Aortic Aneurysms ◽  
Patient Specific ◽  
Ct Angiogram ◽  
Abdominal Aortic ◽  
3D Printed

Introduction: 3D printed patient-specific vascular phantoms provide superior anatomical insights for simulating complex endovascular procedures. Currently, lack of exposure to the technology poses a barrier for adoption. We offer an accessible, low-cost guide to producing vascular anatomical models using routine CT angiography, open source software packages and a variety of 3D printing technologies.Methods: Although applicable to all vascular territories, we illustrate our methodology using Abdominal Aortic Aneurysms (AAAs) due to the strong interest in this area. CT aortograms acquired as part of routine care were converted to representative patient-specific 3D models, and then printed using a variety of 3D printing technologies to assess their material suitability as aortic phantoms. Depending on the technology, phantoms cost $20–$1,000 and were produced in 12–48 h. This technique was used to generate hollow 3D printed thoracoabdominal aortas visible under fluoroscopy.Results: 3D printed AAA phantoms were a valuable addition to standard CT angiogram reconstructions in the simulation of complex cases, such as short or very angulated necks, or for positioning fenestrations in juxtarenal aneurysms. Hollow flexible models were particularly useful for device selection and in planning of fenestrated EVAR. In addition, these models have demonstrated utility other settings, such as patient education and engagement, and trainee and anatomical education. Further study is required to establish a material with optimal cost, haptic and fluoroscopic fidelity.Conclusion: We share our experiences and methodology for developing inexpensive 3D printed vascular phantoms which despite material limitations, successfully mimic the procedural challenges encountered during live endovascular surgery. As the technology continues to improve, 3D printed vascular phantoms have the potential to disrupt how endovascular procedures are planned and taught.

scholarly journals Clinical Applications of Patient-Specific 3D Printed Models in Cardiovascular Disease: Current Status and Future Directions

Biomolecules ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1577
Author(s):  
Zhonghua Sun
Keyword(s):  
Cardiovascular Disease ◽  
3D Printing ◽  
Current Status ◽  
Patient Specific ◽  
Future Research ◽  
Junior Doctors ◽  
Imaging Data ◽  
Training Tool ◽  
Complex Anatomy ◽  
3D Printed

Three-dimensional (3D) printing has been increasingly used in medicine with applications in many different fields ranging from orthopaedics and tumours to cardiovascular disease. Realistic 3D models can be printed with different materials to replicate anatomical structures and pathologies with high accuracy. 3D printed models generated from medical imaging data acquired with computed tomography, magnetic resonance imaging or ultrasound augment the understanding of complex anatomy and pathology, assist preoperative planning and simulate surgical or interventional procedures to achieve precision medicine for improvement of treatment outcomes, train young or junior doctors to gain their confidence in patient management and provide medical education to medical students or healthcare professionals as an effective training tool. This article provides an overview of patient-specific 3D printed models with a focus on the applications in cardiovascular disease including: 3D printed models in congenital heart disease, coronary artery disease, pulmonary embolism, aortic aneurysm and aortic dissection, and aortic valvular disease. Clinical value of the patient-specific 3D printed models in these areas is presented based on the current literature, while limitations and future research in 3D printing including bioprinting of cardiovascular disease are highlighted.

Digital Design and 3D Printing of Aortic Arch Reconstruction in HLHS for Surgical Simulation and Training

2018 ◽  
Vol 9 (4) ◽  
pp. 454-458 ◽  
Author(s):  
Sarah A. Chen ◽  
Chin Siang Ong ◽  
Nagina Malguria ◽  
Luca A. Vricella ◽  
Juan R. Garcia ◽  
...  
Keyword(s):  
3D Printing ◽  
Aortic Arch ◽  
Surgical Simulation ◽  
Three Dimensional ◽  
3D Models ◽  
Digital Design ◽  
Patient Specific ◽  
Aortic Arch Reconstruction ◽  
Arch Reconstruction ◽  
And Training

Purpose: Patients with hypoplastic left heart syndrome (HLHS) present a diverse spectrum of aortic arch morphology. Suboptimal geometry of the reconstructed aortic arch may result from inappropriate size and shape of an implanted patch and may be associated with poor outcomes. Meanwhile, advances in diagnostic imaging, computer-aided design, and three-dimensional (3D) printing technology have enabled the creation of 3D models. The purpose of this study is to create a surgical simulation and training model for aortic arch reconstruction. Description: Specialized segmentation software was used to isolate aortic arch anatomy from HLHS computed tomography scan images to create digital 3D models. Three-dimensional modeling software was used to modify the exported segmented models and digitally design printable customized patches that were optimally sized for arch reconstruction. Evaluation: Life-sized models of HLHS aortic arch anatomy and a digitally derived customized patch were 3D printed to allow simulation of surgical suturing and reconstruction. The patient-specific customized patch was successfully used for surgical simulation. Conclusions: Feasibility of digital design and 3D printing of patient-specific patches for aortic arch reconstruction has been demonstrated. The technology facilitates surgical simulation. Surgical training that leads to an understanding of optimal aortic patch geometry is one element that may potentially influence outcomes for patients with HLHS.

scholarly journals Boundary conditions of patient-specific fluid dynamics modelling of cavopulmonary connections: possible adaptation of pulmonary resistances results in a critical issue for a virtual surgical planning

2011 ◽  
Vol 1 (3) ◽  
pp. 297-307 ◽  
Author(s):  
Giancarlo Pennati ◽  
Chiara Corsini ◽  
Daria Cosentino ◽  
Tain-Yen Hsia ◽  
Vincenzo S. Luisi ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Boundary Conditions ◽  
Three Dimensional ◽  
Critical Issue ◽  
Patient Specific ◽  
Imaging Data ◽  
Venae Cavae ◽  
Cavopulmonary Anastomosis ◽  
Operative Planning ◽  
The Right

Cavopulmonary connections are surgical procedures used to treat a variety of complex congenital cardiac defects. Virtual pre-operative planning based on in silico patient-specific modelling might become a powerful tool in the surgical decision-making process. For this purpose, three-dimensional models can be easily developed from medical imaging data to investigate individual haemodynamics. However, the definition of patient-specific boundary conditions is still a crucial issue. The present study describes an approach to evaluate the vascular impedance of the right and left lungs on the basis of pre-operative clinical data and numerical simulations. Computational fluid dynamics techniques are applied to a patient with a bidirectional cavopulmonary anastomosis, who later underwent a total cavopulmonary connection (TCPC). Multi-scale models describing the surgical region and the lungs are adopted, while the flow rates measured in the venae cavae are used at the model inlets. Pre-operative and post-operative conditions are investigated; namely, TCPC haemodynamics, which are predicted using patient-specific pre-operative boundary conditions, indicates that the pre-operative balanced lung resistances are not compatible with the TCPC measured flows, suggesting that the pulmonary vascular impedances changed individually after the surgery. These modifications might be the consequence of adaptation to the altered pulmonary blood flows.

scholarly journals Beneath the Skin: Emulating human physiology using a novel bitmap-based “voxel” 3D-printing workflow.

2021 ◽  
Author(s):  
◽  
Ana Morris
Keyword(s):  
Medical Education ◽  
3D Printing ◽  
Biomedical Imaging ◽  
Human Anatomy ◽  
Patient Specific ◽  
Imaging Data ◽  
Anatomical Models ◽  
Medical Communication ◽  
Medical Models ◽  
3D Printed

<p>Novel technologies that produce medical models which are synthetic equivalents to human tissue may forever change the way human anatomy and medicine are explored. Medical modelling using a bitmap-based additive manufacturing workflow offers exciting opportunities for medical education, informed consent practices, skills acquisition, pre-operative planning and surgical simulation. Moving medical data from the 2D-world to tactile, highly detailed 3D-printed anatomical models may significantly change how we comprehend the body; revamping everything – from medical education to clinical practice.  Research Problem The existing workflow for producing patient-specific anatomical models from biomedical imaging data involves image thresholding and iso-surface extraction techniques that result in surface meshes (also known as objects or parts). This process restricts shape specification to one colour and density, limiting material blending and resulting in anatomically inequivalent medical models. So, how can the use of 3D-printing go beyond static anatomical replication? Imagine pulling back the layers of tissue to reveal the complexity of a procedure, allowing a family to understand and discuss their diagnosis. Overcoming the disadvantages of static medical models could be a breakthrough in the areas of medical communication and simulation. Currently, patient specific models are either rigid or mesh-based and, therefore, are not equivalents of physiology.  Research Aim The aim of this research is to create tangible and visually compelling patient-specific prototypes of human anatomy, offering an insight into the capabilities of new bitmap-based 3D-printing technology. It proposes that full colour, multi-property, voxel-based 3D-printing can emulate physiology, creating a new format of visual and physical medical communication.  Data Collection and Procedure For this study, biomedical imaging data was converted into multi-property 3D-printed synthetic anatomy by bypassing the conversion steps of traditional segmentation. Bitmap-based 3D-printing allows for the precise control over every 14-micron material droplet or “voxel”.  Control over each voxel involves a process of sending bitmap images to a high-resolution and multi-property 3D-printer. Bitmap-based 3D-printed synthetic medical models – which mimicked the colour and density of human anatomy – were successfully produced.  Findings This research presented a novel and streamlined bitmap-based medical modelling workflow with the potential to save manufacturing time and labour cost. Moreover, this workflow produced highly accurate models with graduated densities, translucency, colour and flexion – overcoming complexities that arise due to our body’s opaqueness. The presented workflow may serve as an incentive for others to investigate bitmap-based 3D-printing workflows for different manufacturing applications.</p>

scholarly journals 3D Printing Endobronchial Models for Surgical Training and Simulation

2018 ◽  
Vol 4 (11) ◽  
pp. 135 ◽  
Author(s):  
Zhuo Zhao ◽  
Sheng Xu ◽  
Bradford Wood ◽  
Zion Tse
Keyword(s):  
Lung Cancer ◽  
3D Printing ◽  
Low Cost ◽  
Complex Structure ◽  
Patient Specific ◽  
Ablation Catheter ◽  
Phantom Model ◽  
Lung Phantom ◽  
Navigation Software ◽  
Localization Information

Lung cancer is the leading cause of cancer-related deaths. Many methods and devices help acquire more accurate clinical and localization information during lung interventions and may impact the death rate for lung cancer. However, there is a learning curve for operating these tools due to the complex structure of the airway. In this study, we first discuss the creation of a lung phantom model from medical images, which is followed by a comparison of 3D printing in terms of quality and consistency. Two tests were conducted to test the performance of the developed phantom, which was designed for training simulations of the target and ablation processes in endochonchial interventions. The target test was conducted through an electromagnetic tracking catheter with navigation software. An ablation catheter with a recently developed thermochromic ablation gel conducted the ablation test. The results of two tests show that the phantom was very useful for target and ablation simulation. In addition, the thermochromic gel allowed doctors to visualize the ablation zone. Many lung interventions may benefit from custom training or accuracy with the proposed low-cost and patient-specific phantom.

scholarly journals 3D printed patient-specific bone models for anatomy education from medical imaging

2021 ◽  
Author(s):  
Arivazhagan Pugalendhi ◽  
◽  
SenthilMurugan Arumugam ◽  
Rajesh Ranganathan ◽  
Sivakumar Ganesan ◽  
...  
Keyword(s):  
3D Printing ◽  
Surgical Planning ◽  
Thin Layers ◽  
Physical Models ◽  
Patient Specific ◽  
Anatomy Education ◽  
Healthcare Applications ◽  
Surgical Guides ◽  
Solid Objects ◽  
3D Printed

Evolution of 3D printing from medical image datasets are escalating and has widespread in healthcare applications such as anatomical models, surgical guides, and customized implants. In 3D printing, solid objects are fabricated by the frequently added the thin layers of material as per the digital model. This paper demonstrates the fabrication of 3D printed patient-specific bone models of leg and ankle foot from Digital Imaging and Communications in Medicine (DICOM) files. Processing of DICOM file is prepared by D2P (DICOM to PRINT) software and physical models are produced by Stratasys uPrint 3D printer. This 3D printed anatomical model eliminates the requirement of actual human bones, significance of preservation and mistakes in assembly of bones. The results of the study not only encourage education, surgical planning and validating medical devices but stimulate exciting innovations.

Step-Specific Simulation: The Utility of 3D Printing for the Fabrication of a Low-Cost, Learning Needs-Based Rhinoplasty Simulator

2020 ◽  
Author(s):  
Dino Zammit ◽  
Tyler Safran ◽  
Nirros Ponnudurai ◽  
Mehrad Jaberi ◽  
Liang Chen ◽  
...  
Keyword(s):  
3D Printing ◽  
Surgical Simulation ◽  
Low Cost ◽  
Deliberate Practice ◽  
Learning Needs ◽  
3 Dimensional ◽  
Complex Procedure ◽  
Competency Based ◽  
3D Printed ◽  
Surgery Education

Abstract Background Rhinoplasty is a complex procedure that requires meticulous planning and precise execution. Plastic surgeons involved in teaching residents must balance a trainee’s hands-on experience while ensuring appropriate execution of difficult maneuvers. Surgical simulation, a field of growing importance with the shift towards competency-based education, may aid in trainee skill development. Through the concept of deliberate practice, the authors looked to explore the utility and economics of 3-dimensional (3D) printing technology to develop a step-specific rhinoplasty simulator. Objectives The main objective of this study was to address rhinoplasty skills previously identified as “learning areas of weakness” and develop a low-cost, step-specific simulator to help rhinoplasty teaching. Methods A patient’s facial bones, upper and lower lateral cartilages, and septum were segmented from a computed tomography scan and rendered in 3D format. This was 3D printed utilizing Ultimaker Polylactic filament with a polyvinyl acetate dissolvable support for bone, a mixture of Rigur 450 and Tango plus polyjet material for cartilage, and Smooth-On Dragon Skin for skin. Results A modular simulator was developed with 3 separate, interchangeable components with a perfect fit design. The simulator allowed for deliberate practice of the 5 rhinoplasty learning areas of weakness, with a maximal recurring cost of $75 CAD. Conclusions Through the employment of 3D printing, a low-cost, maneuver-specific rhinoplasty simulator reinforcing deliberate practice was developed. This concept of simulation-based deliberate practice may be of increasing interest when considering the implementation of competency-based curricular standards in plastic surgery education.

scholarly journals Retrosigmoid Craniectomy and Suprameatal Drilling—3-Dimensionally Printed Microneurosurgical Simulation: 2-Dimensional Operative Video

2021 ◽  
Author(s):  
Jaime L Martinez ◽  
Aaron Damon ◽  
Ricardo A Domingo ◽  
Fidel Valero-Moreno ◽  
Alfredo Quiñones-Hinojosa
Keyword(s):  
Surgical Simulation ◽  
Three Dimensional ◽  
Tactile Feedback ◽  
Point Of View ◽  
Physical Models ◽  
Patient Specific ◽  
Educational Value ◽  
Training Tool ◽  
Complex Approach ◽  
Work Hour

Abstract Neurosurgical training is being challenged by rigorous work-hour restrictions and the COVID-19 pandemic.1 Now, more than ever, surgical simulation plays a pivotal role in resident education and psychomotor skill development. Three-dimensional (3D) printing technologies enable the construction of inexpensive, patient-specific, anatomically accurate physical models for a more convenient and realistic simulation of complex skull base approaches in a safe environment.2 All stages of the surgical procedure can be simulated, from positioning and exposure to deep microdissection, which has an unparalleled educational value. The complex approach-specific anatomy, narrow working angles, and pathoanatomic relationships can be readily explored from the surgeon's perspective or point of view.2,3 Furthermore, different thermoplastic polymers can be utilized to replicate the visual and tactile feedback of bone (cortical/cancellous), neurological, and vascular tissues.4 Retrosigmoid craniectomies are widely used in neurosurgery with various applications, including microvascular decompressions in patients with trigeminal neuralgia.5-7 Removal of the suprameatal tubercle (SMT) extends the retrosigmoid approach superiorly to the middle fossa and Meckel's cave, and anteriorly to the clivus.8,9 This maneuver may be necessary in patients with prominent SMTs obstructing the view of the trigeminal nerve and in patients with a more anterosuperior neurovascular conflict. This video illustrates a microsurgical training tool for learning and honing the technique of retrosigmoid craniectomy and suprameatal drilling using an affordable (29.00 USD) biomimetic 3D-printed simulator that closely recapitulates not only the anatomy but also the tactile feedback of drilling and manipulating neurological tissues (see Table and Graph 1; minute 07:11) as it happens at the time of surgery.

scholarly journals Beneath the Skin: Emulating human physiology using a novel bitmap-based “voxel” 3D-printing workflow.

2021 ◽  
Author(s):  
◽  
Ana Morris
Keyword(s):  
Medical Education ◽  
3D Printing ◽  
Biomedical Imaging ◽  
Human Anatomy ◽  
Patient Specific ◽  
Imaging Data ◽  
Anatomical Models ◽  
Medical Communication ◽  
Medical Models ◽  
3D Printed

<p>Novel technologies that produce medical models which are synthetic equivalents to human tissue may forever change the way human anatomy and medicine are explored. Medical modelling using a bitmap-based additive manufacturing workflow offers exciting opportunities for medical education, informed consent practices, skills acquisition, pre-operative planning and surgical simulation. Moving medical data from the 2D-world to tactile, highly detailed 3D-printed anatomical models may significantly change how we comprehend the body; revamping everything – from medical education to clinical practice.  Research Problem The existing workflow for producing patient-specific anatomical models from biomedical imaging data involves image thresholding and iso-surface extraction techniques that result in surface meshes (also known as objects or parts). This process restricts shape specification to one colour and density, limiting material blending and resulting in anatomically inequivalent medical models. So, how can the use of 3D-printing go beyond static anatomical replication? Imagine pulling back the layers of tissue to reveal the complexity of a procedure, allowing a family to understand and discuss their diagnosis. Overcoming the disadvantages of static medical models could be a breakthrough in the areas of medical communication and simulation. Currently, patient specific models are either rigid or mesh-based and, therefore, are not equivalents of physiology.  Research Aim The aim of this research is to create tangible and visually compelling patient-specific prototypes of human anatomy, offering an insight into the capabilities of new bitmap-based 3D-printing technology. It proposes that full colour, multi-property, voxel-based 3D-printing can emulate physiology, creating a new format of visual and physical medical communication.  Data Collection and Procedure For this study, biomedical imaging data was converted into multi-property 3D-printed synthetic anatomy by bypassing the conversion steps of traditional segmentation. Bitmap-based 3D-printing allows for the precise control over every 14-micron material droplet or “voxel”.  Control over each voxel involves a process of sending bitmap images to a high-resolution and multi-property 3D-printer. Bitmap-based 3D-printed synthetic medical models – which mimicked the colour and density of human anatomy – were successfully produced.  Findings This research presented a novel and streamlined bitmap-based medical modelling workflow with the potential to save manufacturing time and labour cost. Moreover, this workflow produced highly accurate models with graduated densities, translucency, colour and flexion – overcoming complexities that arise due to our body’s opaqueness. The presented workflow may serve as an incentive for others to investigate bitmap-based 3D-printing workflows for different manufacturing applications.</p>

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