Investigating the effectiveness of three‐dimensional printed anatomical models compared to plastinated human specimens in learning cardiac and neck anatomy: A randomized cross‐over study

2021 ◽  
Author(s):  
Sreenivasulu Reddy Mogali ◽  
Ramya Chandrasekaran ◽  
Shairah Radzi ◽  
Peh Zhen Kai ◽  
Gerald Jit Shen Tan ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Anatomical Models ◽  
Neck Anatomy

Sharing and reusing cardiovascular anatomical models over the Web: a step towards the implementation of the virtual physiological human project

2010 ◽  
Vol 368 (1921) ◽  
pp. 3039-3056 ◽  
Author(s):  
Daniele Gianni ◽  
Steve McKeever ◽  
Tommy Yu ◽  
Randall Britten ◽  
Hervé Delingette ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Data Access ◽  
Disease Diagnosis ◽  
Web Pages ◽  
Anatomical Models ◽  
Current Sharing ◽  
Preliminary Version ◽  
Cardiovascular Models ◽  
Rendering Engine ◽  
The Web

Sharing and reusing anatomical models over the Web offers a significant opportunity to progress the investigation of cardiovascular diseases. However, the current sharing methodology suffers from the limitations of static model delivery (i.e. embedding static links to the models within Web pages) and of a disaggregated view of the model metadata produced by publications and cardiac simulations in isolation. In the context of euHeart—a research project targeting the description and representation of cardiovascular models for disease diagnosis and treatment purposes—we aim to overcome the above limitations with the introduction of euHeartDB, a Web-enabled database for anatomical models of the heart. The database implements a dynamic sharing methodology by managing data access and by tracing all applications. In addition to this, euHeartDB establishes a knowledge link with the physiome model repository by linking geometries to CellML models embedded in the simulation of cardiac behaviour. Furthermore, euHeartDB uses the exFormat—a preliminary version of the interoperable FieldML data format—to effectively promote reuse of anatomical models, and currently incorporates Continuum Mechanics, Image Analysis, Signal Processing and System Identification Graphical User Interface (CMGUI), a rendering engine, to provide three-dimensional graphical views of the models populating the database. Currently, euHeartDB stores 11 cardiac geometries developed within the euHeart project consortium.

Custom Patient-Specific Three-Dimensional Printed Mitral Valve Models for Pre-Operative Patient Education Enhance Patient Satisfaction and Understanding

2019 ◽  
Vol 13 (3) ◽  
Author(s):  
Kay S. Hung ◽  
Michael J. Paulsen ◽  
Hanjay Wang ◽  
Camille Hironaka ◽  
Y. Joseph Woo
Keyword(s):  
Patient Education ◽  
Mitral Valve ◽  
Three Dimensional ◽  
3D Models ◽  
Patient Specific ◽  
Imaging Data ◽  
Anatomical Models ◽  
Mitral Valves ◽  
Flexible Polymer ◽  
3D Printed

In recent years, advances in medical imaging and three-dimensional (3D) additive manufacturing techniques have increased the use of 3D-printed anatomical models for surgical planning, device design and testing, customization of prostheses, and medical education. Using 3D-printing technology, we generated patient-specific models of mitral valves from their pre-operative cardiac imaging data and utilized these custom models to educate patients about their anatomy, disease, and treatment. Clinical 3D transthoracic and transesophageal echocardiography images were acquired from patients referred for mitral valve repair surgery and segmented using 3D modeling software. Patient-specific mitral valves were 3D-printed using a flexible polymer material to mimic the precise geometry and tissue texture of the relevant anatomy. 3D models were presented to patients at their pre-operative clinic visit and patient education was performed using either the 3D model or the standard anatomic illustrations. Afterward, patients completed questionnaires assessing knowledge and satisfaction. Responses were calculated based on a 1–5 Likert scale and analyzed using a nonparametric Mann–Whitney test. Twelve patients were presented with a patient-specific 3D-printed mitral valve model in addition to standard education materials and twelve patients were presented with only standard educational materials. The mean survey scores were 64.2 (±1.7) and 60.1 (±5.9), respectively (p = 0.008). The use of patient-specific anatomical models positively impacts patient education and satisfaction, and is a feasible method to open new opportunities in precision medicine.

scholarly journals Impact of Inflow Boundary Conditions on the Calculation of CT-Based FFR

Fluids ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 60 ◽  
Author(s):  
Ernest Lo ◽  
Leon Menezes ◽  
Ryo Torii
Keyword(s):  
Boundary Conditions ◽  
Coronary Arteries ◽  
Three Dimensional ◽  
Patient Specific ◽  
Fractional Flow ◽  
Anatomical Models ◽  
Diastolic Phase ◽  
Flow Reserve ◽  
Population Average ◽  
The Impact

Background: Calculation of fractional flow reserve (FFR) using computed tomography (CT)-based 3D anatomical models and computational fluid dynamics (CFD) has become a common method to non-invasively assess the functional severity of atherosclerotic narrowing in coronary arteries. We examined the impact of various inflow boundary conditions on computation of FFR to shed light on the requirements for inflow boundary conditions to ensure model representation. Methods: Three-dimensional anatomical models of coronary arteries for four patients with mild to severe stenosis were reconstructed from CT images. FFR and its commonly-used alternatives were derived using the models and CFD. A combination of four types of inflow boundary conditions (BC) was employed: pulsatile, steady, patient-specific and population average. Results: The maximum difference of FFR between pulsatile and steady inflow conditions was 0.02 (2.4%), approximately at a level similar to a reported uncertainty level of clinical FFR measurement (3–4%). The flow with steady BC appeared to represent well the diastolic phase of pulsatile flow, where FFR is measured. Though the difference between patient-specific and population average BCs affected the flow more, the maximum discrepancy of FFR was 0.07 (8.3%), despite the patient-specific inflow of one patient being nearly twice as the population average. Conclusions: In the patients investigated, the type of inflow boundary condition, especially flow pulsatility, does not have a significant impact on computed FFRs in narrowed coronary arteries.

scholarly journals Three-Dimensional Printed Anatomical Models Help in Correcting Foot Alignment in Hallux Valgus Deformities

2020 ◽  
Vol 54 (S1) ◽  
pp. 199-209
Author(s):  
Anil Murat Ozturk ◽  
Onur Suer ◽  
Istemihan Coban ◽  
Mehmet Asim Ozer ◽  
Figen Govsa
Keyword(s):  
Hallux Valgus ◽  
Three Dimensional ◽  
Anatomical Models ◽  
Foot Alignment

3D PRINTING TECHNOLOGY IN HUMAN ANATOMY MODERN TEACHING AND LEARNING

2019 ◽  
Vol 1 ◽  
pp. 234
Author(s):  
Dzintra Kazoka ◽  
Mara Pilmane
Keyword(s):  
3D Printing ◽  
Teaching And Learning ◽  
Three Dimensional ◽  
Human Anatomy ◽  
Anatomical Models ◽  
Printing Technology ◽  
3D Printing Technology ◽  
Medical Study ◽  
Study Process ◽  
Teaching Learning

There are various combinations of 3D printing technology and medical study process. The aim of this study was to summarize our first experience on 3D printing and outline how 3D printed models can be successfully used in Human Anatomy modern teaching and learning. In 2018 autumn semester, together with traditional methods, a three-dimensional (3D) printing has been introduced into Human Anatomy curriculum at Department of Morphology. In practical classes 39 groups of students from Faculty of Medicine 1st year together with 3 tutors used 3 different open source softwares to create anatomical models and prepared them for printing process. All anatomical models were produced using an FDM 3D printer, a Prusa i3 MK2 (Prusa Research). As methods for data collection were used our observational notes during teaching and learning, analysis of discussions between tutors and students, comments on the preparing and usability of the created and printed models. 3D printing technology offered students a powerful tool for their teaching, learning and creativity, provided possibility to show human body structures or variations. Presented data offered valuable information about current situation and these results were suitable for the further development of the Human Anatomy study course.

The Effect of Variations in Trunk Models in Predicting Muscle Strength and Spinal Loading

1997 ◽  
Vol 01 (01) ◽  
pp. 55-69 ◽  
Author(s):  
M. Parnianpour ◽  
J. L Wang ◽  
A. Shirazi-Adl ◽  
P. Sparto ◽  
H.-J. Wilke
Keyword(s):  
Three Dimensional ◽  
Complex Loading ◽  
Trunk Muscles ◽  
Cost Functions ◽  
Anatomical Models ◽  
Spinal Loading ◽  
Unified Modeling ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Joint Reaction

A unified modeling technique is proposed to predict the strength contour of trunk muscles during isometric exertions, which can identify the feasibility of task performance and quantify the utilization ratio for assessment of risk of development of muscular fatigue and over-exertion injury. In addition, the proposed model can estimate the joint reaction forces during performance of the feasible complex loading task in upright standing. Six anatomical models and six cost functions suggested by various research groups were considered in determining their effects on the predicted three-dimensional strength and lumbar intervertebral joint reaction forces obtained using linear and nonlinear optimizations. The present investigation has shown the importance of the fidelity of anatomical models used in estimation of spinal loading and trunk strength. The effect of cost functions on estimated compression and anterior-posterior shear forces was statistically significant. These models can assist in identifying the injurious tasks that must be ergonomically modified to prevent the risk of occupationally related low back injuries.

scholarly journals Virtual Atlas of Personified Human Anatomy “SkiaAtlas” and the Possibility of Its Application

2020 ◽  
Vol 18 (1) ◽  
pp. 83-93
Author(s):  
B. O. Shcheglov ◽  
N. I. Bezulenko ◽  
S. A. Atashchikov ◽  
S. N. Scheglova
Keyword(s):  
Information System ◽  
Programming Languages ◽  
Web Application ◽  
Three Dimensional ◽  
Personal Data ◽  
Human Anatomy ◽  
Anatomical Models ◽  
Software Products ◽  
Clinical Thinking ◽  
Pacs Server

The work is devoted to the description of the structure of the developed SkiaAtlas software, which is focused on working with individual anatomical models of the human body and physiological parameters of the patient. The problem of using mock-up and post-sectional material in teaching medical students, and why the developed information system has advantages over these models, is shown. Virtual anatomical models were obtained from anonymous DICOM images of magnetic resonance imaging (MRI) and computed tomography (CT). The subsystems of the information system are described: a PACS server where all data is stored (server part) and a web application where the user works with data (client part). The information system modules implemented in the form of various software products are described in detail: data import module, anonymization module, DBMS module, visualization module, etc. The operation of these modules is illustrated schematically. It is shown in what programming languages and frameworks this software is implemented, and advantages of choosing these implementation tools relative to software are shown. The process of deleting personal data from DICOM files is described in detail; the process of obtaining the “mask” of the object in the picture, which is then used to obtain three-dimensional models of the patient’s internal organs. The process of user work with the database and the search for pathologies using the system interface tools are clearly described. The possibilities of using this information system in the educational field are shown – an illustration of specific clinical cases in order to search for cause-effect relationships in the pathogenesis of various diseases and the development of clinical thinking in a student. In a specific clinical case, an example is given of how the SkiaAtlas program was used to search for a pathology – a volumetric formation of the left hemisphere of the brain.

scholarly journals Learning from Two‐Dimensional (2D) versus Three‐Dimensional Anatomical Models: Assessing Working Memory Requirements Using Electroencephalography (EEG)

2019 ◽  
Vol 33 (S1) ◽  
Author(s):  
Sarah J. Anderson ◽  
Heather Jamniczky ◽  
Chad Williams ◽  
Olave Krigolson ◽  
Sylvain Coderre ◽  
...  
Keyword(s):  
Working Memory ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Anatomical Models

Is Proximal Tibia Sufficient for Accurate Measurement of Tibial Slope Angles on Three-dimensional Tomography-based Anatomical Models?

2021 ◽  
Vol 17 ◽  
Author(s):  
Oğuzhan Tanoğlu ◽  
İzzet Özay Subaşı ◽  
Mehmet Burak Gökgöz ◽  
Gökhun Arıcan
Keyword(s):  
Strong Correlation ◽  
Proximal Tibia ◽  
High Reliability ◽  
Slope Angle ◽  
Three Dimensional ◽  
Tibial Slope ◽  
Angle Measurement ◽  
Anatomical Models ◽  
Significant Difference ◽  
Anatomical Axis

Background: Tibial slope measurements performed using only the proximal part of tibia ignore the native tibial anatomical axis. Our first aim is to measure the native medial, lateral and total tibial slope angles of gender groups using the whole tibial anatomical axis on computerized tomography-based three-dimensional anatomical models. The second aim is to determine the correlation between proximal and whole tibial anatomical axis for measurement of medial, lateral, and total tibial slope angles. Methods: We randomly selected 100 females and 100 males between 18-60 years of age. Three-dimensional anatomical models of right and left tibia were created. The gender-specific differences of medial, lateral, and total tibial slope angles according to proximal and whole tibial anatomical axis were measured. Correlation coefficients (r) of medial, lateral, and total tibial slope angles measured with proximal and whole tibial anatomical axis were calculated. Results: The mean age was 47.1 years. A statistically significant difference was observed between female (7.1 ± 3) and male (8.2 ± 2.5) groups in terms of mean lateral tibial slope angles according to the whole tibial anatomical axis (p=0.008). A strong correlation between proximal and whole tibial anatomical axis for all tibial slope angle measurements was detected. Conclusion: The method we determined for 3D measurement of medial, lateral and total tibial slope angles using proximal tibial anatomical axis has a strong correlation with slope angles measured in accordance with the whole tibial anatomical axis. Our 3D tibial slope angle measurement method on the proximal tibia has high reliability and could be used in the daily practice.

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