Relevant bibliographies by topics / Congenital heart disease, 3d printing, cardiac imaging

Academic literature on the topic 'Congenital heart disease, 3d printing, cardiac imaging'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Congenital heart disease, 3d printing, cardiac imaging"

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Lau, Ivan, Ashu Gupta, Abdul Ihdayhid, and Zhonghua Sun. "Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease." Biomolecules 12, no. 11 (October 24, 2022): 1548. http://dx.doi.org/10.3390/biom12111548.

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Understanding the anatomical features and generation of realistic three-dimensional (3D) visualization of congenital heart disease (CHD) is always challenging due to the complexity and wide spectrum of CHD. Emerging technologies, including 3D printing and mixed reality (MR), have the potential to overcome these limitations based on 2D and 3D reconstructions of the standard DICOM (Digital Imaging and Communications in Medicine) images. However, very little research has been conducted with regard to the clinical value of these two novel technologies in CHD. This study aims to investigate the usefulness and clinical value of MR and 3D printing in assisting diagnosis, medical education, pre-operative planning, and intraoperative guidance of CHD surgeries through evaluations from a group of cardiac specialists and physicians. Two cardiac computed tomography angiography scans that demonstrate CHD of different complexities (atrial septal defect and double outlet right ventricle) were selected and converted into 3D-printed heart models (3DPHM) and MR models. Thirty-four cardiac specialists and physicians were recruited. The results showed that the MR models were ranked as the best modality amongst the three, and were significantly better than DICOM images in demonstrating complex CHD lesions (mean difference (MD) = 0.76, p = 0.01), in enhancing depth perception (MD = 1.09, p = 0.00), in portraying spatial relationship between cardiac structures (MD = 1.15, p = 0.00), as a learning tool of the pathology (MD = 0.91, p = 0.00), and in facilitating pre-operative planning (MD = 0.87, p = 0.02). The 3DPHM were ranked as the best modality and significantly better than DICOM images in facilitating communication with patients (MD = 0.99, p = 0.00). In conclusion, both MR models and 3DPHM have their own strengths in different aspects, and they are superior to standard DICOM images in the visualization and management of CHD.
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Kang, Sok-Leng, and Lee Benson. "Recent advances in cardiac catheterization for congenital heart disease." F1000Research 7 (March 26, 2018): 370. http://dx.doi.org/10.12688/f1000research.13021.1.

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The field of pediatric and adult congenital cardiac catheterization has evolved rapidly in recent years. This review will focus on some of the newer endovascular technological and management strategies now being applied in the pediatric interventional laboratory. Emerging imaging techniques such as three-dimensional (3D) rotational angiography, multi-modal image fusion, 3D printing, and holographic imaging have the potential to enhance our understanding of complex congenital heart lesions for diagnostic or interventional purposes. While fluoroscopy and standard angiography remain procedural cornerstones, improved equipment design has allowed for effective radiation exposure reduction strategies. Innovations in device design and implantation techniques have enabled the application of percutaneous therapies in a wider range of patients, especially those with prohibitive surgical risk. For example, there is growing experience in transcatheter duct occlusion in symptomatic low-weight or premature infants and stent implantation into the right ventricular outflow tract or arterial duct in cyanotic neonates with duct-dependent pulmonary circulations. The application of percutaneous pulmonary valve implantation has been extended to a broader patient population with dysfunctional ‘native’ right ventricular outflow tracts and has spurred the development of novel techniques and devices to solve associated anatomic challenges. Finally, hybrid strategies, combining cardiosurgical and interventional approaches, have enhanced our capabilities to provide care for those with the most complex of lesions while optimizing efficacy and safety.
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Lau, Ivan, Ashu Gupta, and Zhonghua Sun. "Clinical Value of Virtual Reality versus 3D Printing in Congenital Heart Disease." Biomolecules 11, no. 6 (June 14, 2021): 884. http://dx.doi.org/10.3390/biom11060884.

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Both three-dimensional (3D) printing and virtual reality (VR) are reported as being superior to the current visualization techniques in conveying more comprehensive visualization of congenital heart disease (CHD). However, little is known in terms of their clinical value in diagnostic assessment, medical education, and preoperative planning of CHD. This cross-sectional study aims to address these by involving 35 medical practitioners to subjectively evaluate VR visualization of four selected CHD cases in comparison with the corresponding 3D printed heart models (3DPHM). Six questionnaires were excluded due to incomplete sections, hence a total of 29 records were included for the analysis. The results showed both VR and 3D printed heart models were comparable in terms of the degree of realism. VR was perceived as more useful in medical education and preoperative planning compared to 3D printed heart models, although there was no significant difference in the ratings (p = 0.54 and 0.35, respectively). Twenty-one participants (72%) indicated both the VR and 3DPHM provided additional benefits compared to the conventional medical imaging visualizations. This study concludes the similar clinical value of both VR and 3DPHM in CHD, although further research is needed to involve more cardiac specialists for their views on the usefulness of these tools.
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Spanaki, Adriani, Saleha Kabir, Natasha Stephenson, Milou P. M. van Poppel, Valentina Benetti, and John Simpson. "3D Approaches in Complex CHD: Where Are We? Funny Printing and Beautiful Images, or a Useful Tool?" Journal of Cardiovascular Development and Disease 9, no. 8 (August 15, 2022): 269. http://dx.doi.org/10.3390/jcdd9080269.

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Echocardiography, CT and MRI have a crucial role in the management of congenital heart disease (CHD) patients. All of these modalities can be presented in a 2D or a 3D rendered format. The aim of this paper is to review the key advantages and potential limitations, as well as the future challenges of a 3D approach in each imaging modality. The focus of this review is on anatomic rather than functional assessment. Conventional 2D echocardiography presents limitations when imaging complex lesions, whereas 3D imaging depicts the anatomy in all dimensions. CT and MRI can visualise extracardiac vasculature and guide complex biventricular repair. Three-dimensional printed models can be used in depicting complex intracardiac relationships and defining the surgical strategy in specific lesions. Extended reality imaging retained dynamic cardiac motion holds great potential for planning surgical and catheter procedures. Overall, the use of 3D imaging has resulted in a better understanding of anatomy, with a direct impact on the surgical and catheter approach, particularly in more complex cases.
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Carberry, Thomas, Raghav Murthy, Albert Hsiao, Colin Petko, John Moore, John Lamberti, and Sanjeet Hegde. "Fontan Revision: Presurgical Planning Using Four-Dimensional (4D) Flow and Three-Dimensional (3D) Printing." World Journal for Pediatric and Congenital Heart Surgery 10, no. 2 (January 10, 2019): 245–49. http://dx.doi.org/10.1177/2150135118799641.

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Pulmonary arteriovenous malformations (AVMs) can be a complication of certain postoperative Fontan patients whose hepatic venous blood return is not distributed evenly to both lungs. A ten-year-old female, who had previously undergone staged single ventricle palliation for complex congenital heart disease, underwent a Fontan revision due to significant left-sided pulmonary AVMs and increasing arterial oxygen desaturation. The combination of four-dimensional flow cardiac magnetic resonance imaging and three-dimensional printing enabled presurgical planning for a Fontan takedown and diversion of hepatic venous flow to the azygous vein that resulted in significant clinical improvement.
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Anwar, Shafkat, Gautam K. Singh, Justin Varughese, Hoang Nguyen, Joseph J. Billadello, Elizabeth F. Sheybani, Pamela K. Woodard, Peter Manning, and Pirooz Eghtesady. "3D Printing in Complex Congenital Heart Disease." JACC: Cardiovascular Imaging 10, no. 8 (August 2017): 953–56. http://dx.doi.org/10.1016/j.jcmg.2016.03.013.

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Hadeed, Khaled, Philippe Acar, Yves Dulac, Fabio Cuttone, Xavier Alacoque, and Clément Karsenty. "Cardiac 3D printing for better understanding of congenital heart disease." Archives of Cardiovascular Diseases 111, no. 1 (January 2018): 1–4. http://dx.doi.org/10.1016/j.acvd.2017.10.001.

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Sun, Lau, Wong, and Yeong. "Personalized Three-Dimensional Printed Models in Congenital Heart Disease." Journal of Clinical Medicine 8, no. 4 (April 16, 2019): 522. http://dx.doi.org/10.3390/jcm8040522.

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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.
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Han, Frank, Jennifer Co-Vu, Dalia Lopez-Colon, John Forder, Mark Bleiweis, Karl Reyes, Curt DeGroff, and Arun Chandran. "Impact of 3D Printouts in Optimizing Surgical Results for Complex Congenital Heart Disease." World Journal for Pediatric and Congenital Heart Surgery 10, no. 5 (September 2019): 533–38. http://dx.doi.org/10.1177/2150135119852316.

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Planning corrective and palliative surgery for patients who have complex congenital heart disease often relies on the assessment of cardiac anatomy using two-dimensional noninvasive cardiac imaging modalities (echocardiography, cardiac magnetic resonance imaging, and computed tomography scan). Advances in cardiac noninvasive imaging now include the use of three-dimensional (3D) reconstruction tools that produce 3D images and 3D printouts. There is scant evidence available in the literature as to what effect the availability of 3D printouts of complex congenital heart defects has on surgical outcomes. Surgical outcomes of study subjects with a 3D cardiac printout available and their paired control subject without a 3D cardiac printout available were compared. We found a trend toward shorter surgical times in the study group who had the benefit of 3D models, but no statistical significance was found for bypass time, cross-clamp time, total time, length of stay, or respiratory support. These preliminary results support the proposal that 3D modeling be made readily available to congenital cardiac surgery teams, for use in patients with the most complex congenital heart disease.
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Lee, Shenyuan, Andrew Squelch, and Zhonghua Sun. "Quantitative Assessment of 3D Printed Model Accuracy in Delineating Congenital Heart Disease." Biomolecules 11, no. 2 (February 12, 2021): 270. http://dx.doi.org/10.3390/biom11020270.

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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.
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Dissertations / Theses on the topic "Congenital heart disease, 3d printing, cardiac imaging"

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"Three Dimensional Printing and Computational Visualization for Surgical Planning and Medical Education." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.29845.

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abstract: The advent of medical imaging has enabled significant advances in pre-procedural planning, allowing cardiovascular anatomy to be visualized noninvasively before a procedure. However, absolute scale and tactile information are not conveyed in traditional pre-procedural planning based on images alone. This information deficit fails to completely prepare clinicians for complex heart repair, where surgeons must consider the varied presentations of cardiac morphology and malformations. Three-dimensional (3D) visualization and 3D printing provide a mechanism to construct patient-specific, scale models of cardiovascular anatomy that surgeons and interventionalists can examine prior to a procedure. In addition, the same patient-specific models provide a valuable resource for educating future medical professionals. Instead of looking at idealized images on a computer screen or pages from medical textbooks, medical students can review a life-like model of patient anatomy. In cases where surgical repair is insufficient to return the heart to normal function, a patient may proceed to advanced heart failure, and a heart transplant may be required. Unfortunately, a finite number of available donor hearts are available. A mechanical circulatory support (MCS) device can be used to bridge the time between heart failure and reception of a donor heart. These MCS devices are typically constructed for the adult population. Accordingly, the size associated to the device is a limiting factor for small adults or pediatric patients who often have smaller thoracic measurements. While current eligibility criteria are based on correlative measurements, the aforementioned 3D visualization capabilities can be leveraged to accomplish patient-specific fit analysis. The main objectives of the work presented in this dissertation were 1) to develop and evaluate an optimized process for 3D printing cardiovascular anatomy for surgical planning and medical education and 2) to develop and evaluate computational tools to assess MCS device fit in specific patients. The evaluations for objectives 1 and 2 were completed with a collection of qualitative and quantitative validations. These validations include case studies to illustrate meaningful, qualitative results as well as quantitative results from surgical outcomes. The latter results present the first quantitative supporting evidence, beyond anecdotal case studies, regarding the efficacy of 3D printing for pre-procedural planning; this data is suitable as pilot data for clinical trials. The products of this work were used to plan 200 cardiovascular procedures (including 79 cardiothoracic surgeries at Phoenix Children's Hospital), via 3D printed heart models and assess MCS device fit in 29 patients across 6 countries.
Dissertation/Thesis
Doctoral Dissertation Bioengineering 2015
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Books on the topic "Congenital heart disease, 3d printing, cardiac imaging"

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Rapid Prototyping in Cardiac Disease: 3D Printing the Heart. Springer, 2017.

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Farooqi, Kanwal Majeed. Rapid Prototyping in Cardiac Disease: 3D Printing the Heart. Springer, 2018.

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Miller, Owen I., and Werner Budts. Heart valve disease: pulmonary valve disease. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0038.

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Congenital abnormalities of the pulmonary valve (PV) are common either as a single lesion or in the context of more complex congenital lesions where abnormalities of the PV play a major role in the cardiac physiology. Transthoracic echocardiographic (TTE) imaging of the PV is relatively straightforward in the normally connected heart due to its anterior position close to common sonographic windows. Imaging of the abnormally positioned PV requires modifications to standard projections and may be better demonstrated by a transoesophageal (TOE) or three-dimensional (3D) echocardiographic approach. Standard 3D TTE may offer advantages in surgical planning for an abnormally positioned pulmonary valve in complex congenital anatomy and 3D TOE may add value to the demonstration of abnormalities of the subpulmonary right ventricular outflow tract.
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Book chapters on the topic "Congenital heart disease, 3d printing, cardiac imaging"

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Milano, Elena Giulia, Teodora Popa, Andrei-Mihai Iacob, and Silvia Schievano. "3D Printing and Engineering Tools Relevant to Plan a Transcatheter Procedure." In Cardiac Catheterization for Congenital Heart Disease, 1067–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69856-0_62.

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Fogel, Mark A. "Novel CMR techniques for advanced surgical planning." In The EACVI Textbook of Cardiovascular Magnetic Resonance, edited by Massimo Lombardi, Sven Plein, Steffen Petersen, Chiara Bucciarelli-Ducci, Emanuela R. Valsangiacomo Buechel, Cristina Basso, and Victor Ferrari, 502–8. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198779735.003.0049.

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Medical and surgical care for the patient with congenital heart disease (CHD) has advanced greatly over the past 40 years; along with improved surgical and catheter-based techniques, intensive unit care, and overall medical advances, improved outcomes have accrued across a whole host of cardiac defects. This is owed, in no small part, to advances in imaging and cardiovascular magnetic resonance (CMR) which has played an important and growing role in this evolution. Novel CMR techniques 25 years ago, such as gadolinium-based imaging and two-dimensional velocity mapping, are now commonplace. At the cutting edge of novel CMR techniques, in the current era, are computational fluid dynamic modelling, three-dimensional printing, four-dimensional flow imaging, and X-ray magnetic resonance/interventional CMR, which will be the focus of this chapter. The hope is that one day these techniques will be the commonplace ones, aiding in the care of a broad spectrum of CHD.
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Conference papers on the topic "Congenital heart disease, 3d printing, cardiac imaging"

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Mesihović-Dinarević, Senka. "WHAT IS NEW IN CARDIOVASCULAR MEDICINE?" In Symposium with International Participation HEART AND … Akademija nauka i umjetnosti Bosne i Hercegovine, 2019. http://dx.doi.org/10.5644/pi2019.181.03.

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The rapid pace of change continues to be a hallmark in cardiovascular medicine and many see that pace accelerating in adult cardiovascular medicine as well as in paediatric cardiology medicine. Cardiovascular medicine is an area of clinical practice with a continually rapid expansion of knowledge, guidelines, best practices and new technology. Cardiovascular diseases are the leading cause of mortality in the world and cause major costs for the health sector and economy. Primary care clinicians are challenged to optimally manage a multitude of diseases including congestive heart failure, coronary artery disease, valvular diseases, arrhythmias, lipid disorders, and hypertension. Multimodality imaging techniques are being used more frequently as their utility is better appreciated. Echocardiography has been the mainstay approach, cardiac computerized tomography and magnetic resonance imaging provide a good imaging alternative for patients with multiple complex surgeries. 3D printing has seen a rapid growth in use for planning treatments for patients with congenital heart disease. Simulation using 3D models is emerging as a fundamental resource for teaching procedural techniques and a new standard of care. Artificial intelligence holds the greatest potential for revolutionizing medicine. Innovative technologies in the world of cardiovascular health are expanding every day: wearable computing technologies, bioresorbable stents, leadless pacemaker, valve-in-valve procedure, protein patch for heart muscle growth and others. As a part of lifelong learning process for all professionals in cardiovascular medicine, the imperative is to have continuity of reviewing novelties, with results data from numerous researches in order to treat patient according to best practices and evidence-based medicine.
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Tenhoff, Amanda C., Alex J. Deakyne, Tinen L. Iles, Shanti L. Narasimhan, Sameh M. Said, Massimo Griselli, and Paul A. Iaizzo. "Development of an Open-Access Library of Pediatric Congenital Heart Diseases and Treatments: A Tutorial on the Atlas of Human Cardiac Anatomy." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9064.

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Abstract The major aim of this project is to construct a growing database of information regarding specific manifestations of congenital heart diseases (CHDs), subsequent treatments, clinical cases, and patient outcomes. This will include 3D models generated from clinical imaging of individual patient hearts and respective de-identified clinical case information — all of which will be incorporated onto the free-access Atlas of Human Cardiac Anatomy website (http://www.vhlab.umn.edu/atlas/), where anyone can learn more about these diseases and their complexities [1]. Generated models can also be used for 3D printing, such as for pre-surgical planning, as well as for incorporation into virtual reality in order to expand outreach and education efforts [2]. Future work will incorporate computational modeling to enhance insights relative to treatment strategies and surgical planning. By studying a broad range of these unique individual cases, it will be possible for patients, clinicians, and medical device designers alike to better understand the clinical presentations of congenital heart diseases and develop more effective treatment strategies.
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Wray, J., G. Biglino, S. Hall, and S. Layton. "042 Exploring congenital heart disease with paediatric and adult patients: an interdisciplinary approach using art, medical imaging and 3D printing." In Great Ormond Street Hospital Conference 2018: Continuous Care. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2018. http://dx.doi.org/10.1136/goshabs.42.

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Mesihović-Dinarević, Senka. "UPDATE IN DIAGNOSTICS CARDIOLOGY." In International Scientific Symposium “Diagnostics in Cardiology and Grown-Up Congenital Heart Disease (GUCH)”. Academy of Sciences and Arts of Bosnia and Herzegovina, 2021. http://dx.doi.org/10.5644/pi2021.199.02.

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Cardiovascular medicine is an area of clinical practice with a continually rapid expansion of knowledge, guidelines, best practices and new technology in adult cardiovascular medicine as well as in paediatric cardiology medicine. Cardiovascular diseases (CVD) are the leading cause of mortality in the world and cause major costs for the health sector and economy. Cardiovascular imaging indices have a significant impact on the prevention, diagnosis, and treatment of cardiac diseases. Advanced imaging technologies have dramatically improved our ability to detect and treat cardiovascular disease at an early stage. Multimodality imaging techniques - echocardiogram, cardiac computerized tomography, magnetic resonance imaging, simulation 3D models, artificial intelligence - are being used more frequently as their utility is better appreciated. Coronavirus disease 2019 (COVID-19) exerts an unprecedented global impact on public health and health care delivery. Severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) causing COVID-19 has reached pandemic levels since March 2020. Patients with cardiovascular (CV) risk factors and established CVD represent a vulnerable population when suffering from COVID-19, and have an increased risk of morbidity and mortality. Severe COVID-19 infection is associated with myocardial damage and cardiac arrhythmia. Diagnostic workup during SARS infection revealed electrocardiographic changes, sub-clinical left ventricular (LV) diastolic impairment and troponin elevation. All professionals in cardiovascular medicine, as a part of lifelong learning process, have the continuous imperative in reviewing novelties, with results data from numerous researches in order to treat all patients according to best practices and evidence-based medicine, especially on this journey through corona pandemic.
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