Accuracy evaluation of patient-specific 3D-printed aortic anatomy

Kaschwich, Mark; Horn, Marco; Matthiensen, Sarah; Stahlberg, Erik; Behrendt, Christian‐Alexander; Matysiak, Florian; Bouchagiar, Juljan; Dell, Annika; Ellebrecht, David Benjamin; Bayer, Andreas; Kleemann, Markus

doi:10.1016/j.aanat.2020.151629

Cited by 14 publications

(6 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the digital processing of anatomical data provides a precise representation of the patient’s anatomy. Indeed, the digitization of patient-specific anatomy has gained momentum in recent years [ 45 - 47 ] and has moved beyond 3D printing [ 46 , 48 ]. It is envisaged that patient-specific digital anatomy could be a catalyst for changing and bridging the quality of personalized care.…”

Section: Introductionmentioning

confidence: 99%

The Opportunities and Challenges of Digital Anatomy for Medical Sciences: Narrative Review

Wickramasinghe¹,

Thompson²,

Xiao³

2022

JMIR Med Educ

View full text Add to dashboard Cite

Background Anatomy has been the cornerstone of medical education for centuries. However, given the advances in the Internet of Things, this landscape has been augmented in the past decade, shifting toward a greater focus on adopting digital technologies. Digital anatomy is emerging as a new discipline that represents an opportunity to embrace advances in digital health technologies and apply them to the domain of modern medical sciences. Notably, the use of augmented or mixed and virtual reality as well as mobile and platforms and 3D printing in modern anatomy has dramatically increased in the last 5 years. Objective This review aims to outline the emerging area of digital anatomy and summarize opportunities and challenges for incorporating digital anatomy in medical science education and practices. Methods Literature searches were performed using the PubMed, Embase, and MEDLINE bibliographic databases for research articles published between January 2005 and June 2021 (inclusive). Out of the 4650 articles, 651 (14%) were advanced to full-text screening and 77 (1.7%) were eligible for inclusion in the narrative review. We performed a Strength, Weakness, Opportunity, and Threat (SWOT) analysis to evaluate the role that digital anatomy plays in both the learning and teaching of medicine and health sciences as well as its practice. Results Digital anatomy has not only revolutionized undergraduate anatomy education via 3D reconstruction of the human body but is shifting the paradigm of pre- and vocational training for medical professionals via digital simulation, advancing health care. Importantly, it was noted that digital anatomy not only benefits in situ real time clinical practice but also has many advantages for learning and teaching clinicians at multiple levels. Using the SWOT analysis, we described strengths and opportunities that together serve to underscore the benefits of embracing digital anatomy, in particular the areas for collaboration and medical advances. The SWOT analysis also identified a few weaknesses associated with digital anatomy, which are primarily related to the fact that the current reach and range of applications for digital anatomy are very limited owing to its nascent nature. Furthermore, threats are limited to technical aspects such as hardware and software issues. Conclusions This review highlights the advances in digital health and Health 4.0 in key areas of digital anatomy analytics. The continuous evolution of digital technologies will increase their ability to reinforce anatomy knowledge and advance clinical practice. However, digital anatomy education should not be viewed as a simple technical conversion and needs an explicit pedagogical framework. This review will be a valuable asset for educators and researchers to incorporate digital anatomy into the learning and teaching of medical sciences and their practice.

show abstract

Section: Introductionmentioning

confidence: 99%

The Opportunities and Challenges of Digital Anatomy for Medical Sciences: Narrative Review

Wickramasinghe¹,

Thompson²,

Xiao³

2022

JMIR Med Educ

View full text Add to dashboard Cite

show abstract

“…However, there is an obvious risk of creating unrealistic anatomical findings when applying digital design and modification techniques, especially for engineers lacking medical education. The accuracy of 3D modeling and 3D printing, i.e., the dimensionally correct and complete representation of a patient’s anatomy reconstructed from a CT or MRI in the 3D model, has been investigated thoroughly [ 29 – 36 ]. The lack of a clinical dataset for comparison of the resulting model can potentially be a limiting factor of designing and modifying medical 3D models.…”

Section: Discussionmentioning

confidence: 99%

Design and 3D printing of variant pediatric heart models for training based on a single patient scan

et al. 2021

View full text Add to dashboard Cite

Background 3D printed models of pediatric hearts with congenital heart disease have been proven helpful in simulation training of diagnostic and interventional catheterization. However, anatomically accurate 3D printed models are traditionally based on real scans of clinical patients requiring specific imaging techniques, i.e., CT or MRI. In small children both imaging technologies are rare as minimization of radiation and sedation is key. 3D sonography does not (yet) allow adequate imaging of the entire heart for 3D printing. Therefore, an alternative solution to create variant 3D printed heart models for teaching and hands-on training has been established. Methods In this study different methods utilizing image processing and computer aided design software have been established to overcome this shortage and to allow unlimited variations of 3D heart models based on single patient scans. Patient-specific models based on a CT or MRI image stack were digitally modified to alter the original shape and structure of the heart. Thereby, 3D hearts showing various pathologies were created. Training models were adapted to training level and aims of hands-on workshops, particularly for interventional cardiology. Results By changing the shape and structure of the original anatomy, various training models were created of which four examples are presented in this paper: 1. Design of perimembranous and muscular ventricular septal defect on a heart model with patent ductus arteriosus, 2. Series of heart models with atrial septal defect showing the long-term hemodynamic effect of the congenital heart defect on the right atrial and ventricular wall, 3. Implementation of simplified heart valves and addition of the myocardium to a right heart model with pulmonary valve stenosis, 4. Integration of a constructed 3D model of the aortic valve into a pulsatile left heart model with coarctation of the aorta. All presented models have been successfully utilized and evaluated in teaching or hands-on training courses. Conclusions It has been demonstrated that non-patient-specific anatomical variants can be created by modifying existing patient-specific 3D heart models. This way, a range of pathologies can be modeled based on a single CT or MRI dataset. Benefits of designed 3D models for education and training purposes have been successfully applied in pediatric cardiology but can potentially be transferred to simulation training in other medical fields as well.

show abstract

“…The mean difference was equal to 1.0 mm (SD 1.0) and 1.2 mm (SD 0.9) for the first and second model. The other group assessed the accuracy of 3D aortic models manufactured for simulation purposes (28). The models were equipped with outlets and inlets for the connection to the perfusion system.…”

Section: Discussionmentioning

confidence: 99%

“…At present, there is a lack of research that would determine the accuracy of 3D printed aortic templates. Only a few accuracy studies of aorta and aortic aneurysms have been reported to describe a very small number of cases (27)(28)(29). Importantly, it cannot be assumed that the accuracy of 3D models of solid organs and 3D aortic templates will be similar.…”

Section: Introductionmentioning

confidence: 99%

The accuracy and reliability of 3D printed aortic templates: a comprehensive three-dimensional analysis

Rynio¹,

Wojtuń²,

Wójcik³

et al. 2022

Quant Imaging Med Surg

View full text Add to dashboard Cite

Accuracy evaluation of patient-specific 3D-printed aortic anatomy

Cited by 14 publications

References 37 publications

The Opportunities and Challenges of Digital Anatomy for Medical Sciences: Narrative Review

The Opportunities and Challenges of Digital Anatomy for Medical Sciences: Narrative Review

Design and 3D printing of variant pediatric heart models for training based on a single patient scan

The accuracy and reliability of 3D printed aortic templates: a comprehensive three-dimensional analysis

Contact Info

Product

Resources

About