scholarly journals Personalized Three-Dimensional Printed Models in Congenital Heart Disease

2019 ◽  
Vol 8 (4) ◽  
pp. 522 ◽  
Author(s):  
Sun ◽  
Lau ◽  
Wong ◽  
Yeong

Patient-specific three-dimensional (3D) printed models have been increasingly used in cardiology and cardiac surgery, in particular, showing great value in the domain of congenital heart disease (CHD). CHD is characterized by complex cardiac anomalies with disease variations between individuals; thus, it is difficult to obtain comprehensive spatial conceptualization of the cardiac structures based on the current imaging visualizations. 3D printed models derived from patient’s cardiac imaging data overcome this limitation by creating personalized 3D heart models, which not only improve spatial visualization, but also assist preoperative planning and simulation of cardiac procedures, serve as a useful tool in medical education and training, and improve doctor–patient communication. This review article provides an overall view of the clinical applications and usefulness of 3D printed models in CHD. Current limitations and future research directions of 3D printed heart models are highlighted.

Author(s):  
Shujie Deng ◽  
Gavin Wheeler ◽  
Nicolas Toussaint ◽  
Lindsay Munroe ◽  
Suryava Bhattacharya ◽  
...  

The intricate nature of congenital heart disease requires understanding of complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens and therefore display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography, which enables fast prototyping for visualisation such as volume rendering, multi-planar reformatting, flow visualisation, and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation, and multi-user interactions. The available features were evaluated by imaging and non-imaging clinicians, showing that the virtual reality system can help improve understanding and communication of the three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.


Heart ◽  
2020 ◽  
Vol 106 (21) ◽  
pp. 1631-1637 ◽  
Author(s):  
Caroline F Illmann ◽  
Rouzbeh Ghadiry-Tavi ◽  
Martin Hosking ◽  
Kevin C Harris

ObjectiveThree-dimensional printing (3DP) is a novel technology with applications in healthcare, particularly for congenital heart disease (CHD). We sought to explore the spectrum of use of 3D printed CHD models (3D-CM) and identify knowledge gaps within the published body of literature to guide future research.MethodsWe conducted a scoping review targeting published literature on the use of 3D-CMs. The databases of MEDLINE, EMBASE and Web of Science were searched from their inception until 19 July 2019. Inclusion criteria were primary research; studies reporting use of 3D-CMs; and human subjects. Exclusion criteria were studies where 3D-CMs were generated for proof of concept but not used; and studies focused on bioprinting or computational 3D-CMs. Studies were assessed for inclusion and data were extracted from eligible articles in duplicate.ResultsThe search returned 648 results. Following assessment, 79 articles were included in the final qualitative synthesis. The majority (66%) of studies are case reports or series. 15% reported use of a control group. Three main areas of utilisation are for (1) surgical and interventional cardiology procedural planning (n=62), (2) simulation (n=25), and (3) education for medical personnel or patients and their families (n=17). Multiple studies used 3D-CMs for more than one of these areas.Conclusions3DP for CHD is a new technology with an evolving literature base. Most of the published literature are experiential reports as opposed to manuscripts on scientifically robust studies. Our study has identified gaps in the literature and addressed priority areas for future research.


Biomolecules ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 270
Author(s):  
Shenyuan Lee ◽  
Andrew Squelch ◽  
Zhonghua Sun

Background: Three-dimensional (3D) printing is promising in medical applications, especially presurgical planning and the simulation of congenital heart disease (CHD). Thus, it is clinically important to generate highly accurate 3D-printed models in replicating cardiac anatomy and defects. The present study aimed to investigate the accuracy of the 3D-printed CHD model by comparing them with computed tomography (CT) images and standard tessellation language (STL) files. Methods: Three models were printed, comprising different CHD pathologies, including the tetralogy of Fallot (ToF), ventricular septal defect (VSD) and double-outlet right-ventricle (DORV). The ten anatomical locations were measured in each comparison. Pearson’s correlation coefficient, Bland–Altman analysis and intra-class correlation coefficient (ICC) determined the model accuracy. Results: All measurements with three printed models showed a strong correlation (r = 0.99) and excellent reliability (ICC = 0.97) when compared to original CT images, CT images of the 3D-printed models, STL files and 3D-printed CHD models. Conclusion: This study demonstrated the high accuracy of 3D-printed heart models with excellent correlation and reliability when compared to multiple source data. Further investigation into 3D printing in CHD should focus on the clinical value and the benefits to patients.


2021 ◽  
Vol 7 (8) ◽  
pp. 151
Author(s):  
Shujie Deng ◽  
Gavin Wheeler ◽  
Nicolas Toussaint ◽  
Lindsay Munroe ◽  
Suryava Bhattacharya ◽  
...  

The intricate nature of congenital heart disease requires understanding of the complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens, and therefore, display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, the control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper, we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography, which enables fast prototyping for visualisation such as volume rendering, multiplanar reformatting, flow visualisation and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation and multiuser interactions. The available features were evaluated by imaging and nonimaging clinicians, showing that the virtual reality system can help improve the understanding and communication of three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.


Author(s):  
Amanda C. Tenhoff ◽  
Varun Aggarwal ◽  
Rebecca Ameduri ◽  
Alex Deakyne ◽  
Tinen L. Iles ◽  
...  

Abstract Advances in the surgical and interventional management of children with congenital heart disease has improved survival and outcomes. Each such patient is born with specific anatomical variations which call for detailed evaluations so to plan for appropriate patient-specific management. Significant progress has been made in commercially available two-dimensional imaging – i.e. echocardiogram, CT, and MRI – yet using such, three-dimensional anatomical details can be difficult to accurately represent. In addressing this concern, it has been shown that patient-specific three-dimensional modeling can be useful for interventional procedural or surgical planning [1]. Here we present two cases for which patient-specific anatomical three-dimensional modeling and printing were utilized for (1) the pre-sizing and placement of stents within a complex bifurcation pulmonary artery stenosis; and (2) evaluating the candidacy of the patient’s anatomy for a transcatheter pulmonary valve placement. Detailed within this technical brief are de-identified case information, workflows for model generations, and results regarding clinical usage. In conclusion, we found these patient-specific models to be an advantageous resource for treatment planning in these two pediatric congenital heart disease cases.


Author(s):  
Shujie Deng ◽  
Gavin Wheeler ◽  
Nicolas Toussaint ◽  
Lindsay Munroe ◽  
Suryava Bhattacharya ◽  
...  

The intricate nature of congenital heart disease requires understanding of complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens and therefore display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography , which enables fast prototyping for visualisation such as volume rendering, multi-planar reformatting, flow visualisation, and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation, and multi-user interactions. The available features were evaluated by imaging and non-imaging clinicians, showing that the virtual reality system can help improve understanding and communication of the three-dimensional echocardiography imaging and benefit congenital heart disease treatment.


Author(s):  
Zhonghua Sun

Three-dimensional (3D) printing is increasingly used in medical applications with most of the studies focusing on its applications in medical education and training, pre-surgical planning and simulation, and doctor-patient communication. An emerging area of utilising 3D printed models lies in the development of cardiac computed tomography (CT) protocols for visualisation and detection of cardiovascular disease. Specifically, 3D printed heart and cardiovascular models have shown potential value in the evaluation of coronary plaques and coronary stents, aortic diseases and detection of pulmonary embolism. This review article provides an overview of the clinical value of 3D printed models in these areas with regard to the development of optimal CT scanning protocols for both diagnostic evaluation of cardiovascular disease and reduction of radiation dose. The expected outcomes are to encourage further research towards this direction.


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