Combining patient-specific, digital 3D models with tele-education for adolescents with CHD

2021 ◽  
pp. 1-6
Author(s):  
David Liddle ◽  
Sheri Balsara ◽  
Karin Hamann ◽  
Adam Christopher ◽  
Laura Olivieri ◽  
...  
Keyword(s):  
Medical Condition ◽  
Three Dimensional ◽  
Medical Knowledge ◽  
3D Models ◽  
Patient Specific ◽  
Coarctation Of Aorta ◽  
Education Session ◽  
Post Intervention ◽  
Cardiac Defects ◽  
Transposition Of Great Arteries

Abstract Introduction: Adolescents with CHD require transition to specialised adult-centred care. Previous studies have shown that adolescents’ knowledge of their medical condition is correlated with transition readiness. Three-dimensional printed models of CHD have been used to educate medical trainees and patients, although no studies have focused on adolescents with CHD. This study investigates the feasibility of combining patient-specific, digital 3D heart models with tele-education interventions to improve the medical knowledge of adolescents with CHD. Methods: Adolescent patients with CHD, aged between 13 and 18 years old, were enrolled and scheduled for a tele-education session. Patient-specific digital 3D heart models were created using images from clinically indicated cardiac magnetic resonance studies. The tele-education session was performed using commercially available, web-conferencing software (Zoom, Zoom Video Communications Inc.) and a customised software (Cardiac Review 3D, Indicated Inc.) incorporating an interactive display of the digital 3D heart model. Medical knowledge was assessed using pre- and post-session questionnaires that were scored by independent reviewers. Results: Twenty-two adolescents completed the study. The average age of patients was 16 years old (standard deviation 1.5 years) and 56% of patients identified as female. Patients had a variety of cardiac defects, including tetralogy of Fallot, transposition of great arteries, and coarctation of aorta. Post-intervention, adolescents’ medical knowledge of their cardiac defects and cardiac surgeries improved compared to pre-intervention (p < 0.01). Conclusions: Combining patient-specific, digital 3D heart models with tele-education sessions can improve adolescents’ medical knowledge and may assist with transition to adult-centred care.

Evaluation of Spherical Parameterization Methods for Three-Dimensional Reconstruction of Medical Images

2013 ◽  
Vol 365-366 ◽  
pp. 1342-1349
Author(s):  
Xing Hui Wu ◽  
Zhi Xiu Hao
Keyword(s):  
Medical Images ◽  
Three Dimensional ◽  
3D Models ◽  
Mapping Method ◽  
Geometric Error ◽  
Patient Specific ◽  
Shape Modelling ◽  
Dimensional Reconstruction ◽  
Statistical Shape ◽  
Spherical Parameterization

The spherical parameterization is important for the correspondence problem that is a major part of statistical shape modelling for the reconstruction of patient-specific 3D models from medical images. In this paper, we present comparative studies of five common spherical mapping methods applied to the femur and tibia models: the Issenburg et al. method, the Alexa method, the Saba et al. method, the Praun et al. method and the Shen et al. method. These methods are evaluated using three sets of measures: distortion property, geometric error and distance to standard landmarks. Results show that the Praun et al. method performs better than other methods while the Shen et al. method can be regarded as the most reliable one for providing an acceptable correspondence result. We suggest that the area preserving property can be used as a sufficient condition while the angle preserving property is not important when choosing a spherical mapping method for correspondence application.

Digital Design and 3D Printing of Aortic Arch Reconstruction in HLHS for Surgical Simulation and Training

2018 ◽  
Vol 9 (4) ◽  
pp. 454-458 ◽  
Author(s):  
Sarah A. Chen ◽  
Chin Siang Ong ◽  
Nagina Malguria ◽  
Luca A. Vricella ◽  
Juan R. Garcia ◽  
...  
Keyword(s):  
3D Printing ◽  
Aortic Arch ◽  
Surgical Simulation ◽  
Three Dimensional ◽  
3D Models ◽  
Digital Design ◽  
Patient Specific ◽  
Aortic Arch Reconstruction ◽  
Arch Reconstruction ◽  
And Training

Purpose: Patients with hypoplastic left heart syndrome (HLHS) present a diverse spectrum of aortic arch morphology. Suboptimal geometry of the reconstructed aortic arch may result from inappropriate size and shape of an implanted patch and may be associated with poor outcomes. Meanwhile, advances in diagnostic imaging, computer-aided design, and three-dimensional (3D) printing technology have enabled the creation of 3D models. The purpose of this study is to create a surgical simulation and training model for aortic arch reconstruction. Description: Specialized segmentation software was used to isolate aortic arch anatomy from HLHS computed tomography scan images to create digital 3D models. Three-dimensional modeling software was used to modify the exported segmented models and digitally design printable customized patches that were optimally sized for arch reconstruction. Evaluation: Life-sized models of HLHS aortic arch anatomy and a digitally derived customized patch were 3D printed to allow simulation of surgical suturing and reconstruction. The patient-specific customized patch was successfully used for surgical simulation. Conclusions: Feasibility of digital design and 3D printing of patient-specific patches for aortic arch reconstruction has been demonstrated. The technology facilitates surgical simulation. Surgical training that leads to an understanding of optimal aortic patch geometry is one element that may potentially influence outcomes for patients with HLHS.

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 A workflow to generate patient-specific three-dimensional augmented reality models from medical imaging data and example applications in urologic oncology

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Nicole Wake ◽  
Andrew B. Rosenkrantz ◽  
William C. Huang ◽  
James S. Wysock ◽  
Samir S. Taneja ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Patient Care ◽  
Three Dimensional ◽  
3D Models ◽  
Patient Specific ◽  
Imaging Data ◽  
Urologic Oncology ◽  
Case Examples ◽  
Microsoft Hololens ◽  
Enhance Patient Care

AbstractAugmented reality (AR) and virtual reality (VR) are burgeoning technologies that have the potential to greatly enhance patient care. Visualizing patient-specific three-dimensional (3D) imaging data in these enhanced virtual environments may improve surgeons’ understanding of anatomy and surgical pathology, thereby allowing for improved surgical planning, superior intra-operative guidance, and ultimately improved patient care. It is important that radiologists are familiar with these technologies, especially since the number of institutions utilizing VR and AR is increasing. This article gives an overview of AR and VR and describes the workflow required to create anatomical 3D models for use in AR using the Microsoft HoloLens device. Case examples in urologic oncology (prostate cancer and renal cancer) are provided which depict how AR has been used to guide surgery at our institution.

scholarly journals Three-dimensional printing in adult cardiovascular medicine for surgical and transcatheter procedural planning, teaching and technological innovation

2019 ◽  
Author(s):  
Enrico Ferrari ◽  
Michele Gallo ◽  
Changtian Wang ◽  
Lei Zhang ◽  
Maurizio Taramasso ◽  
...  
Keyword(s):  
3D Printing ◽  
Cardiac Imaging ◽  
Three Dimensional ◽  
3D Models ◽  
Patient Specific ◽  
Digital Information ◽  
Widespread Application ◽  
Mitral Valves ◽  
Materials Used ◽  
Procedural Planning

Abstract Three-dimensional (3D)-printing technologies in cardiovascular surgery have provided a new way to tailor surgical and percutaneous treatments. Digital information from standard cardiac imaging is integrated into physical 3D models for an accurate spatial visualization of anatomical details. We reviewed the available literature and analysed the different printing technologies, the required procedural steps for 3D prototyping, the used cardiac imaging, the available materials and the clinical implications. We have highlighted different materials used to replicate aortic and mitral valves, vessels and myocardial properties. 3D printing allows a heuristic approach to investigate complex cardiovascular diseases, and it is a unique patient-specific technology providing enhanced understanding and tactile representation of cardiovascular anatomies for the procedural planning and decision-making process. 3D printing may also be used for medical education and surgical/transcatheter training. Communication between doctors and patients can also benefit from 3D models by improving the patient understanding of pathologies. Furthermore, medical device development and testing can be performed with rapid 3D prototyping. Additionally, widespread application of 3D printing in the cardiovascular field combined with tissue engineering will pave the way to 3D-bioprinted tissues for regenerative medicinal applications and 3D-printed organs.

scholarly journals Layer-By-Layer: The Case for 3D Bioprinting Neurons to Create Patient-Specific Epilepsy Models

Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3218 ◽  
Author(s):  
Natasha Antill-O’Brien ◽  
Justin Bourke ◽  
Cathal D. O’Connell
Keyword(s):  
Three Dimensional ◽  
3D Models ◽  
Patient Specific ◽  
Layer By Layer ◽  
3D Bioprinting ◽  
3D Structures ◽  
Neuronal Populations ◽  
Layer Deposition ◽  
Epilepsy Models ◽  
Ink Formulation

The ability to create three-dimensional (3D) models of brain tissue from patient-derived cells, would open new possibilities in studying the neuropathology of disorders such as epilepsy and schizophrenia. While organoid culture has provided impressive examples of patient-specific models, the generation of organised 3D structures remains a challenge. 3D bioprinting is a rapidly developing technology where living cells, encapsulated in suitable bioink matrices, are printed to form 3D structures. 3D bioprinting may provide the capability to organise neuronal populations in 3D, through layer-by-layer deposition, and thereby recapitulate the complexity of neural tissue. However, printing neuron cells raises particular challenges since the biomaterial environment must be of appropriate softness to allow for the neurite extension, properties which are anathema to building self-supporting 3D structures. Here, we review the topic of 3D bioprinting of neurons, including critical discussions of hardware and bio-ink formulation requirements.

scholarly journals A review and guide to creating patient specific 3D printed anatomical models from MRI for benign gynecologic surgery

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Teresa E. Flaxman ◽  
Carly M. Cooke ◽  
Olivier X. Miguel ◽  
Adnan M. Sheikh ◽  
Sukhbir S. Singh
Keyword(s):  
3D Printing ◽  
Clinical Benefit ◽  
Three Dimensional ◽  
Uterine Fibroids ◽  
3D Models ◽  
Gynecologic Surgery ◽  
Patient Specific ◽  
Mr Images ◽  
Adjacent Structures ◽  
3D Printed

Abstract Background Patient specific three-dimensional (3D) models can be derived from two-dimensional medical images, such as magnetic resonance (MR) images. 3D models have been shown to improve anatomical comprehension by providing more accurate assessments of anatomical volumes and better perspectives of structural orientations relative to adjacent structures. The clinical benefit of using patient specific 3D printed models have been highlighted in the fields of orthopaedics, cardiothoracics, and neurosurgery for the purpose of pre-surgical planning. However, reports on the clinical use of 3D printed models in the field of gynecology are limited. Main text This article aims to provide a brief overview of the principles of 3D printing and the steps required to derive patient-specific, anatomically accurate 3D printed models of gynecologic anatomy from MR images. Examples of 3D printed models for uterine fibroids and endometriosis are presented as well as a discussion on the barriers to clinical uptake and the future directions for 3D printing in the field of gynecological surgery. Conclusion Successful gynecologic surgery requires a thorough understanding of the patient’s anatomy and burden of disease. Future use of patient specific 3D printed models is encouraged so the clinical benefit can be better understood and evidence to support their use in standard of care can be provided.

Fabrication of 3D Models for Microtia Reconstruction Using Smartphone-Based Technology

2021 ◽  
pp. 000348942110240
Author(s):  
Peng You ◽  
Yi-Chun Carol Liu ◽  
Rodrigo C. Silva
Keyword(s):  
3D Model ◽  
Low Cost ◽  
Tertiary Care ◽  
Three Dimensional ◽  
Basic Research ◽  
3D Models ◽  
University Hospital ◽  
Patient Specific ◽  
Surface Scanning ◽  
Barrier To Entry

Objective: Microtia reconstruction is technically challenging due to the intricate contours of the ear. It is common practice to use a two-dimensional tracing of the patient’s normal ear as a template for the reconstruction of the affected side. Recent advances in three-dimensional (3D) surface scanning and printing have expanded the ability to create surgical models preoperatively. This study aims to describe a simple and affordable process to fabricate patient-specific 3D ear models for use in the operating room. Study design: Applied basic research on a novel 3D optical scanning and fabrication pathway for microtia reconstruction. Setting: Tertiary care university hospital. Methods: Optical surface scanning of the patient’s normal ear was completed using a smartphone with facial recognition capability. The Heges application used the phone’s camera to capture the 3D image. The 3D model was digitally isolated and mirrored using the Meshmixer software and printed with a 3D printer (MonopriceTM Select Mini V2) using polylactic acid filaments. Results: The 3D model of the ear served as a helpful intraoperative reference and an adjunct to the traditional 2D template. Collectively, time for imaging acquisition, editing, and fabrication was approximately 3.5 hours. The upfront cost was around $210, and the recurring cost was approximately $0.35 per ear model. Conclusion: A novel, low-cost approach to fabricate customized 3D models of the ear is introduced. It is feasible to create individualized 3D models using currently available consumer technology. The low barrier to entry raises the possibility for clinicians to incorporate 3D printing into various clinical applications.

scholarly journals The use of three-dimensional anatomical patient-specific printed models in surgical clipping of intracranial aneurysm: A pilot study

2020 ◽  
Vol 11 ◽  
pp. 381
Author(s):  
Moneer K. Faraj ◽  
Samer S. Hoz ◽  
Amjad J. Mohammad
Keyword(s):  
3D Printing ◽  
Teaching Hospital ◽  
Three Dimensional ◽  
3D Models ◽  
Patient Specific ◽  
Anterior Communicating Artery ◽  
Parent Vessel ◽  
Microsurgical Clipping ◽  
Valuable Adjunct ◽  
3D Printed

Background: In the present study, we aim to develop simulation models based on computed tomography angiography images of intracranial aneurysms (IAs) and their parent vessels using three-dimensional (3D) printing technology. The study focuses on the value of these 3D models in presurgical planning and intraoperative navigation and ultimately their impact on patient outcomes. To the best of our knowledge, this is the first report of its kind from a war-torn country, like Iraq. Methods: This is a prospective study of a series of 11, consecutively enrolled, patients suffering from IAs for the period between February and September 2019. The study represents a collaboration between the two major neurosurgical centers in Baghdad/Iraq; Neurosciences Teaching Hospital and Neurosurgery Teaching Hospital. We analyzed the data of eleven patients with IAs treated by microsurgical clipping. These data include patient demographics, clinical, surgical, and outcomes along with the data of the 3D-printed replica used in these surgeries. All cases were operated on by one surgeon. Results: Our study included 11 patients, with a total of 11 aneurysms clipped. The mean age was 44 ± 8, with a median of 42.5 and a range of 35–61 years. About 60% of our patients were female with a female-to-male ratio of 1:5. About 60% of the aneurysms were located at the anterior communicating artery (Acom) while the remaining 40% were equally distributed between the posterior communicating and internal carotid arteries bifurcation. The standard pterional approach was followed in 50% of cases, whereas the other 50% of patients were treated through the lateral supraorbital approach. About 90% (n = 9) of the patients had a Glasgow Outcome Scale (GOS) of 5 and 10% had a GOS of 4. The 3D-printed models successfully replicated the aneurysm size, location, and relation to the parent vessel with 100% accuracy and were used for intraoperative guidance. The average production time was 24–48 h and the production cost was 10–20 US dollars. Conclusion: 3D printing is a promising technology that is rapidly penetrating the field of neurosurgery. In particular, the use of 3D-printed patient-matched, anatomically accurate replicas of the cerebral vascular tree is valuable adjunct to the microsurgical clipping of IAs, and our study conclusions support this concept. However, both the feasibility and clinical utility of 3D printing remain the subject of much, ongoing investigations.

scholarly journals Information Recall in Pre-Operative Consultation for Glioma Surgery Using Actual Size Three-Dimensional Models

2020 ◽  
Vol 9 (11) ◽  
pp. 3660
Author(s):  
Sümeyye Sezer ◽  
Vitoria Piai ◽  
Roy P.C. Kessels ◽  
Mark ter Laan
Keyword(s):  
3D Model ◽  
Three Dimensional ◽  
3D Models ◽  
Patient Specific ◽  
Mr Images ◽  
Glioma Surgery ◽  
Information Recall ◽  
Cohen’S D ◽  
Real Size ◽  
Cohen's D

Three-dimensional (3D) technologies are being used for patient education. For glioma, a personalized 3D model can show the patient specific tumor and eloquent areas. We aim to compare the amount of information that is understood and can be recalled after a pre-operative consult using a 3D model (physically printed or in Augmented Reality (AR)) versus two-dimensional (2D) MR images. In this explorative study, healthy individuals were eligible to participate. Sixty-one participants were enrolled and assigned to either the 2D (MRI/fMRI), 3D (physical 3D model) or AR groups. After undergoing a mock pre-operative consultation for low-grade glioma surgery, participants completed two assessments (one week apart) testing information recall using a standardized questionnaire. The 3D group obtained the highest recall scores on both assessments (Cohen’s d = 1.76 and Cohen’s d = 0.94, respectively, compared to 2D), followed by AR and 2D, respectively. Thus, real-size 3D models appear to improve information recall as compared to MR images in a pre-operative consultation for glioma cases. Future clinical studies should measure the efficacy of using real-size 3D models in actual neurosurgery patients.

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