scholarly journals P1417 Acceptability of a virtual reality system for examination of congenital heart disease patients

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
G Wheeler ◽  
S Deng ◽  
K Pushparajah ◽  
J A Schnabel ◽  
J M Simpson ◽  
...  

Abstract Funding Acknowledgements Work supported by the NIHR i4i funded 3D Heart project [II-LA-0716-20001] Background/Introduction Virtual Reality (VR) has recently gained great interest for examining 3D images from congenital heart disease (CHD) patients. Currently, 3D printed models of the heart may be used for particularly complex cases. These have been found to be intuitive and to positively impact clinical decision-making. Although positively received, such printed models must be segmented from the image data, generally only CT/MR may be used, the prints are static, and models do not allow for cropping / slicing or easy manipulation. Our VR system is designed to address these issues, as well as providing a simple interface compared to standard software. Building such a VR system, one with intuitive interaction which is clinically useful, requires studying user acceptance and requirements. Purpose: We evaluate the usability of our VR system can a prototype VR system be easily learned and used by clinicians unfamiliar with VR. Method We tested a VR system which can display 3D echo images and enables the user to interact with them, for instance by translating, rotating and cropping. Our system is tested on a transoesophageal echocardiogram from a patient with aortic valve disease. 13 clinicians evaluated the system including 5 imaging cardiologists, 5 physiologists, 2 surgeons and an interventionist, with their clinical experience ranging from trainee to more than 5 years’ of experience. None had used VR regularly in the past. After a brief training session, they were asked to place three anatomical landmarks and identify a particular cardiac view. They then completed a questionnaire on system ease of learning and image manipulation. Results: Results are shown in the figure below. Learning to use the system was perceived as easy for all but one participant, who rated it as ‘Somewhat difficult’. However, once trained, all users found the system easy to use. Participants found the interaction, where objects in the scene are picked up using the controller and then track the controller’s motion in a 1:1 way, to be particularly easy to learn and use. Conclusion Our VR system was accepted by the vast majority of clinicians, both for ease of learning and use. Intuitiveness and the ability to interact with images in a natural way were highlighted as most useful - suggesting that such a system could become accepted for routine clinical use in the future. Abstract P1417 Figure. VR system evaluation participant feedbac

2021 ◽  
Vol 5 (2) ◽  
pp. 1-5
Author(s):  
Lauren Johnston ◽  
Maria Boumpouli ◽  
Asimina Kazakidi

Congenital heart disease, which affects more than one million newborns globally each year, contributes to an increased risk of cardiovascular disease and ultimately reduced life expectancy. Computational fluid dynamics (CFD) enables detailed, non-invasive characterization of complex physiological pressure and flow fields, thus improving our understanding of congenital heart disease hemodynamics. In recent years, this has driven clinical decision-making, surgical planning, and the evaluation of innovative surgical techniques. In this mini review, CFD methods applied to the study of congenital abnormalities, with a focus on the aorta and pulmonary bifurcation, are discussed. The clinical relevance and future directions of CFD modelling are also reviewed.


2021 ◽  
Vol 16 ◽  
Author(s):  
Irene Martín de Miguel ◽  
Pablo Ávila

The increasing prevalence of AF in a growing population of adults with congenital heart disease (CHD) poses new challenges to clinicians involved in the management of these patients. Distinctive underlying anatomies, unique physiological aspects, a high diversity of corrective surgeries and associated comorbidities can complicate clinical decision-making. In this review, the authors provide an overview of the current knowledge on epidemiology and pathophysiology, with a special focus on the differences to the non-CHD population and the clinical impact of AF in adults with CHD. Acute and long-term management strategies are summarised, including the use of antiarrhythmic drugs, catheter or surgical ablation and prophylaxis of thromboembolism. Finally, gaps of knowledge and potential areas of future research are highlighted.


2021 ◽  
Vol 126 (3) ◽  
pp. 365-379
Author(s):  
Gianluca Pontone ◽  
Ernesto Di Cesare ◽  
Silvia Castelletti ◽  
Francesco De Cobelli ◽  
Manuel De Lazzari ◽  
...  

AbstractCardiac magnetic resonance (CMR) has emerged as new mainstream technique for the evaluation of patients with cardiac diseases, providing unique information to support clinical decision-making. This document has been developed by a joined group of experts of the Italian Society of Cardiology and Italian society of Radiology and aims to produce an updated consensus statement about the current state of technology and clinical applications of CMR. The writing committee consisted of members and experts of both societies who worked jointly to develop a more integrated approach in the field of cardiac radiology. Part 1 of the document will cover ischemic heart disease, congenital heart disease, cardio-oncology, cardiac masses and heart transplant.


2013 ◽  
Vol 13 (3) ◽  
pp. 350-364 ◽  
Author(s):  
F. Cosentino ◽  
N. W. John ◽  
J. Vaarkamp

AbstractPurposeWe review augmented (AR) and virtual reality (VR) applications in radiotherapy as found in the scientific literature and highlight future developments enabled by the use of small mass-produced devices and portability of techniques developed in other fields to radiotherapy.AnalysisThe application of AR and VR within radiotherapy is still in its infancy, with the notable exception of training and teaching applications. The relatively high cost of equipment needed to generate a realistic 3D effect seems one factor that has slowed down its use, but also the sheer amount of image data is relatively recent, were radiotherapy professionals are only beginning to explore how to use this to its full potential. This increased availability of 3D data in radiotherapy will drive the application of AR and VR in radiotherapy to efficiently recognise and extract key features in the data to act on in clinical decision making.ConclusionThe development of small mass-produced tablet devices coming on the market will allow the user to interact with computer-generated information more easily, facilitating the application of AR and VR. The increased connectivity enabling virtual presence of remote multidisciplinary team meetings heralds significant changes to how radiotherapy professionals will work, to the benefit of our patients.


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.


2020 ◽  
Vol 31 ◽  
pp. 101286
Author(s):  
Ali A. Alakhfash ◽  
Abdullah Alqwaiee ◽  
Ghadeer Ali Alakhfash ◽  
Athkar Alhajjaj ◽  
Abdulrahman A. Almesned

2017 ◽  
Vol 8 (1) ◽  
pp. 20170021 ◽  
Author(s):  
Claudio Capelli ◽  
Emilie Sauvage ◽  
Giuliano Giusti ◽  
Giorgia M. Bosi ◽  
Hopewell Ntsinjana ◽  
...  

Patient-specific computational models have been extensively developed over the last decades and applied to investigate a wide range of cardiovascular problems. However, translation of these technologies into clinical applications, such as planning of medical procedures, has been limited to a few single case reports. Hence, the use of patient-specific models is still far from becoming a standard of care in clinical practice. The aim of this study is to describe our experience with a modelling framework that allows patient-specific simulations to be used for prediction of clinical outcomes. A cohort of 12 patients with congenital heart disease who were referred for percutaneous pulmonary valve implantation, stenting of aortic coarctation and surgical repair of double-outlet right ventricle was included in this study. Image data routinely acquired for clinical assessment were post-processed to set up patient-specific models and test device implantation and surgery. Finite-element and computational fluid dynamics analyses were run to assess feasibility of each intervention and provide some guidance. Results showed good agreement between simulations and clinical decision including feasibility, device choice and fluid-dynamic parameters. The promising results of this pilot study support translation of computer simulations as tools for personalization of cardiovascular treatments.


Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1889
Author(s):  
Endrit Pajaziti ◽  
Silvia Schievano ◽  
Emilie Sauvage ◽  
Andrew Cook ◽  
Claudio Capelli

Congenital heart disease (CHD) is the most common defect at birth. Effective training for clinical professionals is essential in order to provide a high standard of care for patients. Visual aids for teaching complex CHD have remained mostly unchanged in recent years, with traditional methods such as diagrams and specimens still essential for delivering educational content. Diagrams and other 2D visualisations for teaching are in most cases artistic illustrations with no direct relation to true, 3D medical data. Specimens are rare, difficult for students to access and are limited to specific institutions. Digital, patient-specific models could potentially address these problems within educational programmes. Virtual Reality (VR) can facilitate the access to digital models and enhance the educational experience. In this study, we recorded and analysed the sentiment of clinical professionals towards VR when learning about CHD. A VR application (VheaRts) containing a set of patient-specific models was developed in-house. The application was incorporated into a specialised cardiac morphology course to assess the feasibility of integrating such a tool, and to measure levels of acceptance. Attendees were clinical professionals from a diverse range of specialities. VR allowed users to interact with six different patient-derived models immersed within a 3D space. Feedback was recorded for 58 participants. The general response towards the use of VR was overwhelmingly positive, with 88% of attendees rating 4 or 5 for ‘helpfulness of VR in learning CHD’ (5-points Likert scale). Additionally, 70% of participants with no prior VR experience rated 4 or 5 for ‘intuitiveness and ease of use’. Our study indicates that VR has a high level of acceptance amongst clinical trainees when used as an effective aid for learning congenital heart disease. Additionally, we noted three specific use-cases where VR offered novel teaching experiences not possible with conventional methods.


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