scholarly journals Quantitative Assessment of 3D Printed Blood Vessels Produced with J750™ Digital Anatomy™ for Suture Simulation

2022 ◽  
Author(s):  
Stefania Marconi ◽  
Valeria Mauri ◽  
Erika Negrello ◽  
Luigi Pugliese ◽  
Andrea Pietrabissa ◽  
...  
Keyword(s):  
Blood Vessels ◽  
Soft Tissues ◽  
Surgical Simulation ◽  
Patient Specific ◽  
Morphological Aspects ◽  
Pathological Conditions ◽  
Surgical Simulations ◽  
Training Of Surgeons ◽  
3D Printed ◽  
Digital Anatomy

Blood vessels anastomosis is one of the most challenging and delicate tasks to learn in many surgical specialties, especially for vascular and abdominal surgeons. Such a critical skill implies a learning curve that goes beyond technical execution. The surgeon needs to gain proficiency in adapting gestures and the amount of force expressed according to the type of tissue he/she is dealing with. In this context, surgical simulation is gaining a pivotal role in the training of surgeons, but currently available simulators can provide only standard or simplified anatomies, without the chance of presenting specific pathological conditions and rare cases. 3D printing technology, allowing the manufacturing of extremely complex geometries, find a perfect application in the production of realistic replica of patient-specific anatomies. According to available technologies and materials, morphological aspects can be easily handled, while the reproduction of tissues mechanical properties still poses major problems, especially when dealing with soft tissues. The present work focuses on blood vessels, with the aim of identifying – by means of both qualitative and quantitative tests – materials combinations able to best mimic the behavior of the biological tissue during anastomoses, by means of J750™ Digital Anatomy™ technology and commercial photopolymers from Stratasys. Puncture tests and stitch traction tests are used to quantify the performance of the various formulations. Surgical simulations involving anastomoses are performed on selected clinical cases by surgeons to validate the results. A total of 37 experimental materials were tested and 2 formulations were identified as the most promising solutions to be used for anastomoses simulation. Clinical applicative tests, specifically selected to challenge the new materials, raised additional issues on the performance of the materials to be considered for future developments.

scholarly journals Efficient finite element hyperelasticity solver for blood vessel simulations

2020 ◽  
Vol 14 ◽  
pp. 174830262093101
Author(s):  
Xinhong Wang ◽  
Zhengzheng Yan ◽  
Yi Jiang ◽  
Rongliang Chen
Keyword(s):  
Finite Element ◽  
Blood Vessel ◽  
Blood Vessels ◽  
High Performance ◽  
Soft Tissues ◽  
Circulatory System ◽  
Numerical Algorithms ◽  
External Pressure ◽  
Patient Specific ◽  
Schwarz Method

The blood vessels play a key role in the human circulatory system. As a tremendous amount of efforts have been devoted to develop mathematical models for investigating the elastic behaviors of human blood vessels, high performance numerical algorithms aiming at solving these models have attracted attention. In this work, we present an efficient finite element solver for an elastodynamic model which is commonly used for simulating soft tissues under external pressure loadings. In particular, the elastic material is assumed to satisfy the Saint–Venant–Kirchhoff law, the governing equation is spatially discretized by a finite element method, and a fully implicit backward difference method is used for the temporal discretization. The resulting nonlinear system is then solved by a Newton–Krylov–Schwarz method. It is the first time to apply the Newton–Krylov–Schwarz method to the Saint–Venant–Kirchhoff model for a patient-specific blood vessel. Numerical tests verify the efficiency of the proposed method and demonstrate its capability for bioengineering applications.

Generic design of an anatomical heart model optimized for additive manufacturing with silicone

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hannah Riedle ◽  
Ahmed Ghazy ◽  
Anna Seufert ◽  
Vera Seitz ◽  
Bernhard Dorweiler ◽  
...  
Keyword(s):  
Surgical Simulation ◽  
Patient Specific ◽  
Heart Model ◽  
Single Model ◽  
Content Type ◽  
Anatomical Features ◽  
3D Printed ◽  
Ct Data ◽  
Silicone Model ◽  
Generic Design

Purpose The purpose of this study is the generation of a thorough generic heart model optimized for direct 3D printing with silicone elastomers. Design/methodology/approach The base of the model design is segmentation of CT data, followed by a generic adaption and a constructive enhancement. The model is 3D printed with silicone. An evaluation of the physical model gives indications about its benefits and weaknesses. Findings The results show the feasibility of a generic design while maintaining anatomical correctness and the benefit of the generic approach to quickly derive a multiplicity of healthy and pathological versions from one single model. The material properties of the silicone model are sufficient for simulation, but the results of the evaluation indicate possible improvements, as for most anatomical features, the used silicone is too hard and too stretchable. Originality/value Previous developments mostly focus on patient-specific heart models. In contrast, this study sets out to explore the possibility and benefits of a generic approach. Standardized validated models would allow comparability in surgical simulation.

Developing a 3D composite training model for cranial remodeling

2019 ◽  
Vol 24 (6) ◽  
pp. 632-641 ◽  
Author(s):  
Du Cheng ◽  
Melissa Yuan ◽  
Imali Perera ◽  
Ashley O’Connor ◽  
Alexander I. Evins ◽  
...  
Keyword(s):  
Soft Tissues ◽  
Surgical Simulation ◽  
Cranial Vault ◽  
Neurosurgical Procedures ◽  
Training Experience ◽  
Training Tool ◽  
Complex Anatomy ◽  
3D Printed ◽  
Multiple Materials ◽  
The Impact

OBJECTIVECraniosynostosis correction, including cranial vault remodeling, fronto-orbital advancement (FOA), and endoscopic suturectomy, requires practical experience with complex anatomy and tools. The infrequent exposure to complex neurosurgical procedures such as these during residency limits extraoperative training. Lack of cadaveric teaching tools given the pediatric nature of synostosis compounds this challenge. The authors sought to create lifelike 3D printed models based on actual cases of craniosynostosis in infants and incorporate them into a practical course for endoscopic and open correction. The authors hypothesized that this training tool would increase extraoperative facility and familiarity with cranial vault reconstruction to better prepare surgeons for in vivo procedures.METHODSThe authors utilized representative craniosynostosis patient scans to create 3D printed models of the calvaria, soft tissues, and cranial contents. Two annual courses implementing these models were held, and surveys were completed by participants (n = 18, 5 attending physicians, 4 fellows, 9 residents) on the day of the course. These participants were surveyed during the course and 1 year later to assess the impact of this training tool. A comparable cohort of trainees who did not participate in the course (n = 11) was also surveyed at the time of the 1-year follow-up to assess their preparation and confidence with performing craniosynostosis surgeries.RESULTSAn iterative process using multiple materials and the various printing parameters was used to create representative models. Participants performed all major surgical steps, and we quantified the fidelity and utility of the model through surveys. All attendees reported that the model was a valuable training tool for open reconstruction (n = 18/18 [100%]) and endoscopic suturectomy (n = 17/18 [94%]). In the first year, 83% of course participants (n = 14/17) agreed or strongly agreed that the skin and bone materials were realistic and appropriately detailed; the second year, 100% (n = 16/16) agreed or strongly agreed that the skin material was realistic and appropriately detailed, and 88% (n = 14/16) agreed or strongly agreed that the bone material was realistic and appropriately detailed. All participants responded that they would use the models for their own personal training and the training of residents and fellows in their programs.CONCLUSIONSThe authors have developed realistic 3D printed models of craniosynostosis including soft tissues that allow for surgical practice simulation. The use of these models in surgical simulation provides a level of preparedness that exceeds what currently exists through traditional resident training experience. Employing practical modules using such models as part of a standardized resident curriculum is a logical evolution in neurosurgical education and training.

scholarly journals Bayesian model uncertainty quantification for hyperelastic soft tissue models

2021 ◽  
Vol 2 ◽  
Author(s):  
Milad Zeraatpisheh ◽  
Stephane P.A. Bordas ◽  
Lars A.A. Beex
Keyword(s):  
Parameter Uncertainty ◽  
Model Uncertainty ◽  
Bayesian Model ◽  
Soft Tissues ◽  
Patient Specific ◽  
Considerable Uncertainty ◽  
Surgical Simulations ◽  
Identification Approach ◽  
Tissue Models ◽  
Constitutive Parameters

Abstract Patient-specific surgical simulations require the patient-specific identification of the constitutive parameters. The sparsity of the experimental data and the substantial noise in the data (e.g., recovered during surgery) cause considerable uncertainty in the identification. In this exploratory work, parameter uncertainty for incompressible hyperelasticity, often used for soft tissues, is addressed by a probabilistic identification approach based on Bayesian inference. Our study particularly focuses on the uncertainty of the model: we investigate how the identified uncertainties of the constitutive parameters behave when different forms of model uncertainty are considered. The model uncertainty formulations range from uninformative ones to more accurate ones that incorporate more detailed extensions of incompressible hyperelasticity. The study shows that incorporating model uncertainty may improve the results, but this is not guaranteed.

The development of a flexible heart model for simulation-based training

2020 ◽  
Author(s):  
Jelle Man ◽  
Jos Maessen ◽  
Peyman Sardari Nia
Keyword(s):  
Ct Scan ◽  
Surgical Simulation ◽  
Computer Modelling ◽  
Patient Specific ◽  
Heart Model ◽  
Flexible Material ◽  
Thoracic Ct ◽  
Simulation Based ◽  
3D Printed ◽  
Thoracic Ct Scan

Abstract OBJECTIVES Simulation-based training has shown to be effective in training new surgical skills. The objective of this study is to develop a flexible 3-dimensional (3D)-printed heart model that can serve as a foundation for the simulation of multiple cardiovascular procedures. METHODS Using a pre-existing digital heart model, 3D transoesophageal echocardiography scans and a thoracic CT scan, a full volume new heart model was developed. The valves were removed from this model, and the internal structures were remodelled to make way for insertable patient-specific structures. Groves at the location of the coronaries were created using extrusion tools in a computer-modelling program. The heart was hollowed to create a more flexible model. A suitable material and thickness was determined using prior test prints. An aortic root and valve was built by segmenting the root from a thoracic CT scan and a valve from a transoesophageal echocardiogram. Segmentations were smoothed, small holes in the valves were filled and surrounding structures were removed to make the objects suitable for 3D printing. RESULTS A hollow 3D-printed heart model with the wall thicknesses of 1.5 mm and spaces to insert coronary arteries, valves and aortic roots in various sizes was successfully printed in flexible material. CONCLUSIONS A flexible 3D-printed model of the heart was developed onto which patient-specific cardiac structures can be attached to simulate multiple procedures. This model can be used as a platform for surgical simulation of various cardiovascular procedures.

scholarly journals Biomodex patient-specific brain aneurysm models: the value of simulation for first in-human experiences using new devices and robotics

2020 ◽  
pp. neurintsurg-2020-015990
Author(s):  
Vitor Nagai Yamaki ◽  
Nicole Mariantonia Cancelliere ◽  
Patrick Nicholson ◽  
Marta Rodrigues ◽  
Ivan Radovanovic ◽  
...  
Keyword(s):  
Surgical Simulation ◽  
Treatment Plan ◽  
3D Models ◽  
Flow Diverter ◽  
Patient Treatment ◽  
Patient Specific ◽  
Parent Vessel ◽  
Brain Aneurysm ◽  
3D Printed

BackgroundWith the recent advent of advanced technologies in the field, treatment of neurovascular diseases using endovascular techniques is rapidly evolving. Here we describe our experience with pre-surgical simulation using the Biomodex EVIAS patient-specific 3D-printed models to plan aneurysm treatment using endovascular robotics and novel flow diverter devices.MethodsPre-procedural rehearsals with 3D-printed patient-specific models of eight cases harboring brain aneurysms were performed before the first in-human experiences. To assess the reliability of the experimental model, the characteristics of the aneurysms were compared between the patient and 3D models. The rehearsals were used to define the patient treatment plan, including technique, device sizing, and operative working projections.ResultsThe study included eight patients with their respective EVIAS 3D aneurysm models. Pre-operative simulation was performed for the first in-human robotic-assisted neurovascular interventions (n=2) and new generation flow-diverter stents (n=6). Aneurysms were located in both the anterior (n=5) and posterior (n=3) circulation and were on average 11.0±6.5 mm in size. We found reliable reproduction of the aneurysm features and similar dimensions of the parent vessel anatomy between the 3D models and patient anatomy. Information learned from pre-surgical in vitro simulation are described in detail, including an improved patient treatment plan, which contributed to successful first in-world procedures with no intraprocedural complications.ConclusionsPre-procedural rehearsal using patient-specific 3D models provides precise procedure planning, which can potentially lead to greater operator confidence, decreased radiation dose and improvements in patient safety, particularly in first in-human experiences.

 3D-printed pediatric temporal bone models for surgical training: a patient-specific and low-cost alternative

2019 ◽  
Vol 3 (3) ◽  
pp. 135-143
Author(s):  
Juan C Ospina ◽  
Alejandro Fandiño ◽  
Santiago Hernández ◽  
Luis F Uriza ◽  
Diego Aragonéz ◽  
...  
Keyword(s):  
Temporal Bone ◽  
Surgical Training ◽  
Fused Deposition Modeling ◽  
Surgical Simulation ◽  
Low Cost ◽  
Patient Specific ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
3D Printed ◽  
Temporal Bones

Aim: To determine the usefulness of low-cost 3D-printed pediatric temporal bone models and to define if they could be used as a tool for large-scale surgical training based on their affordability. Materials & methods: Prototypes of a pediatric temporal bone were printed using fused deposition modeling 3D printing technique. The prototypes were drilled. The surgical simulation experience was registered by means of a Likert scale questionnaire. Results: The prototypes adequately simulated a cadaveric temporal bone. The costs associated with production were low compared with other commercial models making it a cost-effective alternative for a temporal bone laboratory. Conclusion: Printed temporal bones created by means of fused deposition modeling are useful for surgical simulation and training in otolaryngology, and it is possible to achieve detailed low-cost models.

scholarly journals Patient-Specific 3D Printed Models for Education, Research and Surgical Simulation

3D Printing ◽  
2018 ◽  
Author(s):  
Daniil I. Nikitichev ◽  
Premal Patel ◽  
James Avery ◽  
Louis J. Robertson ◽  
Thore M. Bucking ◽  
...  
Keyword(s):  
Education Research ◽  
Surgical Simulation ◽  
Patient Specific ◽  
3D Printed

scholarly journals Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1021
Author(s):  
Bernhard Dorweiler ◽  
Pia Elisabeth Baqué ◽  
Rayan Chaban ◽  
Ahmed Ghazy ◽  
Oroa Salem
Keyword(s):  
Wall Thickness ◽  
Large Scale ◽  
Fused Deposition Modeling ◽  
Vascular Anatomy ◽  
3D Models ◽  
Patient Specific ◽  
Stl File ◽  
Fused Deposition ◽  
3D Printed ◽  
The Mean

As comparative data on the precision of 3D-printed anatomical models are sparse, the aim of this study was to evaluate the accuracy of 3D-printed models of vascular anatomy generated by two commonly used printing technologies. Thirty-five 3D models of large (aortic, wall thickness of 2 mm, n = 30) and small (coronary, wall thickness of 1.25 mm, n = 5) vessels printed with fused deposition modeling (FDM) (rigid, n = 20) and PolyJet (flexible, n = 15) technology were subjected to high-resolution CT scans. From the resulting DICOM (Digital Imaging and Communications in Medicine) dataset, an STL file was generated and wall thickness as well as surface congruency were compared with the original STL file using dedicated 3D engineering software. The mean wall thickness for the large-scale aortic models was 2.11 µm (+5%), and 1.26 µm (+0.8%) for the coronary models, resulting in an overall mean wall thickness of +5% for all 35 3D models when compared to the original STL file. The mean surface deviation was found to be +120 µm for all models, with +100 µm for the aortic and +180 µm for the coronary 3D models, respectively. Both printing technologies were found to conform with the currently set standards of accuracy (<1 mm), demonstrating that accurate 3D models of large and small vessel anatomy can be generated by both FDM and PolyJet printing technology using rigid and flexible polymers.

scholarly journals Total Meniscus Reconstruction Using a Polymeric Hybrid-Scaffold: Combined with 3D-Printed Biomimetic Framework and Micro-Particle

Polymers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1910
Author(s):  
Hun-Jin Jeong ◽  
Se-Won Lee ◽  
Myoung Wha Hong ◽  
Young Yul Kim ◽  
Kyoung Duck Seo ◽  
...  
Keyword(s):  
Shape Matching ◽  
Femoral Condyle ◽  
Immunohistochemical Analysis ◽  
Cartilage Degeneration ◽  
Patient Specific ◽  
Hybrid Scaffold ◽  
Meniscus Tissue ◽  
Cell Source ◽  
3D Printed ◽  
Meniscus Regeneration

The meniscus has poor intrinsic regenerative capability, and its injury inevitably leads to articular cartilage degeneration. Although there are commercialized off-the-shelf alternatives to achieve total meniscus regeneration, each has its own shortcomings such as individualized size matching issues and inappropriate mechanical properties. We manufactured a polycaprolactone-based patient-specific designed framework via a Computed Tomography scan images and 3D-printing technique. Then, we completed the hybrid-scaffold by combining the 3D-printed framework and mixture micro-size composite which consists of polycaprolactone and sodium chloride to create a cell-friendly microenvironment. Based on this hybrid-scaffold with an autograft cell source (fibrochondrocyte), we assessed mechanical and histological results using the rabbit total meniscectomy model. At postoperative 12-week, hybrid-scaffold achieved neo-meniscus tissue formation, and its shape was maintained without rupture or break away from the knee joint. Histological and immunohistochemical analysis results showed obvious ingrowth of the fibroblast-like cells and chondrocyte cells as well as mature lacunae that were embedded in the extracellular matrix. Hybrid-scaffolding resulted in superior shape matching as compared to original meniscus tissue. Histological analysis showed evidence of extensive neo-meniscus cell ingrowth. Additionally, the hybrid-scaffold did not induce osteoarthritis on the femoral condyle surface. The 3D-printed hybrid-scaffold may provide a promising approach that can be applied to those who received total meniscal resection, using patient-specific design and autogenous cell source.

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