Gabrielle C. Geddes^1,2, Erin Syverson^1,2, Michael G. Earing^1,2

Congenital Heart Disease, Vol.14, No.5, pp. 832-837, 2019, DOI:10.1111/chd.12817

Abstract Objective: To describe the first 3 years of experience of having an inpatient “cardiogenetics” program which involves medical geneticist assessment of infants with major congenital heart disease (CHD) requiring surgical intervention in the first year of life.
Patients: Patients less than a year of age admitted to Children’s Hospital of Wisconsin’s Herma Heart Institute for surgical intervention for CHD seen by the cardiogenetics program. Patients with major trisomies (13, 18, and 21) were excluded.
Outcome Measures: Utilization and yield of genetic testing, and diagnostic rate were assessed as outcome measures and compared to a baseline time period and a genetic… More >

Seul Gi Cha¹, Mi Kyung Song¹, Sang Yun Lee¹, Gi Beom Kim¹, Jae Gun Kwak², Woong Han Kim², Eun Jung Bae¹

Congenital Heart Disease, Vol.14, No.5, pp. 684-690, 2019, DOI:10.1111/chd.12810

Abstract Objective: Cardiovascular lesions are the leading cause of morbidity and mortality in patients with Williams syndrome. Recent studies have rebutted conventional reports about the natural course of cardiovascular anomalies in Williams syndrome.
Design: Retrospective study.
Setting: Single tertiary center.
Patients: Eighty patients with Williams syndrome followed up for more than 5 years.
Interventions: Not applicable.
Outcome Measures: Long‐term outcome of cardiovascular lesions, peak velocity change in obstructive cardiovascular lesions over time, post‐interventional courses of disease‐specific intervention, and intervention‐free survival of obstructive cardio‐ vascular lesions.
Results: The median follow‐up duration was 11.0 (5.1‐28.3) years. Among 80 pa‐ tients, supravalvular aortic stenosis… More >

Amanda Hoerst¹, Adnan Bakar², Steven C. Cassidy³, Martha Clabby⁴, Erica Del Grippo⁵, Margaret Graupe¹, Ashraf S. Harahsheh⁶, Anthony M. Hlavacek⁷, Stephen A. Hart³, Alaina K. Kipps⁸, Nicolas L. Madsen¹, Dora D. O’Neil⁹, Sonali S. Patel¹⁰, Courtney M. Strohacker¹¹, Ronn E. Tanel¹²

Congenital Heart Disease, Vol.14, No.3, pp. 419-426, 2019, DOI:10.1111/chd.12739

Abstract Background: The Pediatric Acute Care Cardiology Collaborative (PAC3) was estab‐ lished in 2014 to improve the quality, value, and experience of hospital‐based cardiac acute care outside of the intensive care unit. An initial PAC3 project was a compre‐ hensive survey to understand unit structure, practices, and resource utilization across the collaborative. This report aims to describe the previously unknown degree of practice variation across member institutions.
Methods: A 126‐stem question survey was developed with a total of 412 possible response fields across nine domains including demographics, staffing, available re‐ sources and therapies, and standard care practices. Five supplemental questions ad‐… More >

Giovanni Biglino^1,2, Claudio Capelli^2,3, Despina Koniordou³, Di Robertshaw², Lindsay-Kay Leaver², Silvia Schievano^2,3, Andrew M. Taylor^2,3, Jo Wray²

Congenital Heart Disease, Vol.12, No.1, pp. 113-118, 2017

Abstract Background: Nurse education and training are key to providing congenital heart disease (CHD) patients with consistent high standards of care as well as enabling career progression. One approach for improving educational experience is the use of 3D patient-specific models.
Objectives: To gather pilot data to assess the feasibility of using 3D models of CHD during a training course for cardiac nurses; to evaluate the potential of 3D models in this context, from the nurses’ perspective; and to identify possible improvements to optimise their use for teaching.
Design: A cross-sectional survey.
Setting: A national training week for cardiac nurses.
Participants: One… More >

Peng Wu^1,*, Qi Gao², Runjie Wei³, Hongping Wang³, Lizhong Wang³

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 27-28, 2019, DOI:10.32604/mcb.2019.05711

Abstract Cardiovascular diseases are the leading cause of human deaths worldwide. Traditional diagnostic tools of cardiovascular diseases are either based on 2D static medical images, or invasive, bringing troubles to both patients and doctors. Our team is committed to the development of image-based non-invasive diagnostic system for cardiovascular diseases. We have made progress mainly in the following areas: 1) 4D flow technology for heart and large blood vessels. According to MRI 4D Flow data, three-dimensional velocity fields within blood vessels were constructed. Divergence-fee smoothing (DFS) was proposed to eliminate the high frequency noise in the hemodynamic flow field, and make the… More >

Dalin Tang^1,2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 11-11, 2019, DOI:10.32604/mcb.2019.05170

Abstract Medical imaging and image-based modeling have made considerable progress in recent years in cardiovascular research, such as identifying atherosclerotic plaque morphological and mechanical risk factors which may be used in developing improved patient screening strategies, and performing virtual heart surgery seeking optimal surgical procedures for best post-surgical outcome. We will report recent progress in using multi-modality image-based models to predict vulnerable plaque progression and vulnerability change. In particular, we will report our recent results using IVUS+OCT data to obtain more accurate stress/strain calculations. Inflammation and cap erosion will affect cap material properties. If OCT image could provide inflammation and erosion… More >

Zhiyong Li^1,2,*, Dalin Tang^1,3

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 1-7, 2019, DOI:10.32604/mcb.2019.05830

Abstract Cardiovascular disease remains as the leading cause of death worldwide, and the technologies developed by different groups need to be communicated and shared with all related research communities for a boarder implementation. Challenges in imaging technology, mathematical modelling, material description, mechanical representation, disease progression, prediction methods, and final transition to clinical applications are calling for collaborative effort of the entire research community to act together and bring research effort closer to actual clinical applications. Researchers from different disciplines need to reach out to share their expertise, as well as to listen to other people to understand the big picture, understand… More >

Dalin Tang^1,2,*, Zhiyong Li¹

CMES-Computer Modeling in Engineering & Sciences, Vol.116, No.2, pp. 109-113, 2018, DOI:10.31614/cmes.2018.04201

Abstract This article has no abstract. More >

Mingchao Cai, Chun Yang, Mehmet H. Kural, Richard Bach, David Muccigrosso, Deshan Yang, Jie Zheng, Kristen L. Billiar, Dalin Tang

The International Conference on Computational & Experimental Engineering and Sciences, Vol.19, No.4, pp. 97-104, 2011, DOI:10.3970/icces.2011.019.097

Abstract Image-based computational modeling has been introduced for vulnerable atherosclerotic plaques to identify critical mechanical conditions which may be used for better risk assessment and rupture predictions. In vivo patient-specific coronary plaque models are lagging due to limitations on non-invasive image resolution, flow data, and vessel material properties. We propose a procedure where intravascular ultrasound (IVUS) imaging, biaxial mechanical testing and computational modeling are combined together to acquire better and more complete plaque data and make more accurate plaque vulnerability assessment and predictions. More >

Dalin Tang¹, Chun Yang², Pedro N. del Nido³, Tal Geva³, Chun Yuan⁴, Tom Hatsukami⁵, Fei Liu⁴, Jie Zheng⁶, Pamela K. Woodard⁶

The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 1-6, 2007, DOI:10.3970/icces.2007.001.001

Abstract Image-based computational models for blood flow in the heart and diseased arteries have been developed for disease assessment and potential clinical applications. Models with fluid-structure interactions for human right ventricle (RV) remodeling surgery design, carotid and coronary atherosclerotic plaques and abdominal aortic aneurysm (AAA) were presented. Organ morphology, material properties, governing equations, proper initial and boundary conditions, controlling factors and research focuses for each model were discussed. More >