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Udine M, Loke YH, Goudar S, Donofrio MT, Truong U, Krishnan A. The current state and potential innovation of fetal cardiac MRI. Front Pediatr 2023; 11:1219091. [PMID: 37520049 PMCID: PMC10375913 DOI: 10.3389/fped.2023.1219091] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 07/03/2023] [Indexed: 08/01/2023] Open
Abstract
Fetal cardiac MRI is a rapidly evolving form of diagnostic testing with utility as a complementary imaging modality for the diagnosis of congenital heart disease and assessment of the fetal cardiovascular system. Previous technical limitations without cardiac gating for the fetal heart rate has been overcome with recent technology. There is potential utility of fetal electrocardiography for direct cardiac gating. In addition to anatomic assessment, innovative technology has allowed for assessment of blood flow, 3D datasets, and 4D flow, providing important insight into fetal cardiovascular physiology. Despite remaining technical barriers, with increased use of fCMR worldwide, it will become an important clinical tool to improve the prenatal care of fetuses with CHD.
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Affiliation(s)
- Michelle Udine
- Division of Cardiology, Children’s National Hospital, Washington, DC, United States
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2
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Kühle H, Cho SKS, Barber N, Goolaub DS, Darby JRT, Morrison JL, Haller C, Sun L, Seed M. Advanced imaging of fetal cardiac function. Front Cardiovasc Med 2023; 10:1206138. [PMID: 37288263 PMCID: PMC10242056 DOI: 10.3389/fcvm.2023.1206138] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 05/09/2023] [Indexed: 06/09/2023] Open
Abstract
Over recent decades, a variety of advanced imaging techniques for assessing cardiovascular physiology and cardiac function in adults and children have been applied in the fetus. In many cases, technical development has been required to allow feasibility in the fetus, while an appreciation of the unique physiology of the fetal circulation is required for proper interpretation of the findings. This review will focus on recent advances in fetal echocardiography and cardiovascular magnetic resonance (CMR), providing examples of their application in research and clinical settings. We will also consider future directions for these technologies, including their ongoing technical development and potential clinical value.
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Affiliation(s)
- Henriette Kühle
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Cardiac and Thoracic Surgery, University Hospital Magdeburg, Otto von Guericke University Magdeburg, Magdeburg, Germany
- Division of Cardiac Surgery, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Steven K. S. Cho
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Early Origins of Adult Health Research Group, University of South Australia, Adelaide, SA, Australia
| | - Nathaniel Barber
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Datta Singh Goolaub
- Translational Medicine Program, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jack R. T. Darby
- Early Origins of Adult Health Research Group, University of South Australia, Adelaide, SA, Australia
| | - Janna L. Morrison
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Early Origins of Adult Health Research Group, University of South Australia, Adelaide, SA, Australia
- Research Institute, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Christoph Haller
- Division of Cardiac Surgery, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Liqun Sun
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Translational Medicine Program, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Mike Seed
- Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Translational Medicine Program, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Research Institute, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
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Moerdijk AS, Claessens NH, van Ooijen IM, van Ooij P, Alderliesten T, Grotenhuis HB, Benders MJNL, Bohte AE, Breur JMPJ, Charisopoulou D, Clur SA, Cornette JMJ, Fejzic Z, Franssen MTM, Frerich S, Geerdink LM, Go ATJI, Gommers S, Helbing WA, Hirsch A, Holtackers RJ, Klein WM, Krings GJ, Lamb HJ, Nijman M, Pajkrt E, Planken RN, Schrauben EM, Steenhuis TJ, ter Heide H, Vanagt WYR, van Beynum IM, van Gaalen MD, van Iperen GG, van Schuppen J, Willems TP, Witters I. Fetal MRI of the heart and brain in congenital heart disease. THE LANCET. CHILD & ADOLESCENT HEALTH 2023; 7:59-68. [PMID: 36343660 DOI: 10.1016/s2352-4642(22)00249-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 08/12/2022] [Accepted: 08/22/2022] [Indexed: 11/06/2022]
Abstract
Antenatal assessment of congenital heart disease and associated anomalies by ultrasound has improved perinatal care. Fetal cardiovascular MRI and fetal brain MRI are rapidly evolving for fetal diagnostic testing of congenital heart disease. We give an overview on the use of fetal cardiovascular MRI and fetal brain MRI in congenital heart disease, focusing on the current applications and diagnostic yield of structural and functional imaging during pregnancy. Fetal cardiovascular MRI in congenital heart disease is a promising supplementary imaging method to echocardiography for the diagnosis of antenatal congenital heart disease in weeks 30-40 of pregnancy. Concomitant fetal brain MRI is superior to brain ultrasound to show the complex relationship between fetal haemodynamics in congenital heart disease and brain development.
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Affiliation(s)
- Anouk S Moerdijk
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Nathalie Hp Claessens
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands; Department of Neonatology, Division of Woman and Baby, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Inge M van Ooijen
- Department of Neonatology, Division of Woman and Baby, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Pim van Ooij
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Thomas Alderliesten
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands; Department of Neonatology, Division of Woman and Baby, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Heynric B Grotenhuis
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands.
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Corno AF. Introduction to the series: pre-natal diagnosis in congenital heart defects. Transl Pediatr 2021; 10:2144-2147. [PMID: 34584886 PMCID: PMC8429873 DOI: 10.21037/tp-20-140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/05/2020] [Indexed: 11/06/2022] Open
Affiliation(s)
- Antonio F Corno
- Research Professor, Houston Children's Heart Institute, Memorial Hermann Children's Hospital, University Texas Health, McGovern Medical School, Houston, Texas, USA
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Zhong S, Sun K, Zuo X, Chen A. Monitoring and Prognostic Analysis of Severe Cerebrovascular Diseases Based on Multi-Scale Dynamic Brain Imaging. Front Neurosci 2021; 15:684469. [PMID: 34276294 PMCID: PMC8277932 DOI: 10.3389/fnins.2021.684469] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 04/26/2021] [Indexed: 12/18/2022] Open
Abstract
Severe cerebrovascular disease is an acute cerebrovascular event that causes severe neurological damage in patients, and is often accompanied by severe dysfunction of multiple systems such as breathing and circulation. Patients with severe cerebrovascular disease are in critical condition, have many complications, and are prone to deterioration of neurological function. Therefore, they need closer monitoring and treatment. The treatment strategy in the acute phase directly determines the prognosis of the patient. The case of this article selected 90 patients with severe cerebrovascular disease who were hospitalized in four wards of the Department of Neurology and the Department of Critical Care Medicine in a university hospital. The included cases were in accordance with the guidelines for the prevention and treatment of cerebrovascular diseases. Patients with cerebral infarction are given routine treatments such as improving cerebral circulation, protecting nutrient brain cells, dehydration, and anti-platelet; patients with cerebral hemorrhage are treated within the corresponding safe time window. We use Statistical Product and Service Solutions (SPSS) Statistics21 software to perform statistical analysis on the results. Based on the study of the feature extraction process of convolutional neural network, according to the hierarchical principle of convolutional neural network, a backbone neural network MF (Multi-Features)—Dense Net that can realize the fusion, and extraction of multi-scale features is designed. The network combines the characteristics of densely connected network and feature pyramid network structure, and combines strong feature extraction ability, high robustness and relatively small parameter amount. An end-to-end monitoring algorithm for severe cerebrovascular diseases based on MF-Dense Net is proposed. In the experiment, the algorithm showed high monitoring accuracy, and at the same time reached the speed of real-time monitoring on the experimental platform. An improved spatial pyramid pooling structure is designed to strengthen the network’s ability to merge and extract local features at the same level and at multiple scales, which can further improve the accuracy of algorithm monitoring by paying a small amount of additional computational cost. At the same time, a method is designed to strengthen the use of low-level features by improving the network structure, which improves the algorithm’s monitoring performance on small-scale severe cerebrovascular diseases. For patients with severe cerebrovascular disease in general, APACHEII1, APACHEII2, APACHEII3 and the trend of APACHEII score change are divided into high-risk group and low-risk group. The overall severe cerebrovascular disease, severe cerebral hemorrhage and severe cerebral infarction are analyzed, respectively. The differences are statistically significant.
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Affiliation(s)
- Suting Zhong
- Department of Emergency Medicine, Hanyang Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Kai Sun
- Department of Neurosurgery, Yantai Penglai Traditional Chinese Medicine Hospital, Yantai, China
| | - Xiaobing Zuo
- Department of Emergency Medicine, Hanyang Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Aihong Chen
- Department of Emergency Medicine, Hanyang Hospital, Wuhan University of Science and Technology, Wuhan, China
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Fetal cardiovascular magnetic resonance imaging. Pediatr Radiol 2020; 50:1881-1894. [PMID: 33252756 DOI: 10.1007/s00247-020-04902-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 09/23/2020] [Accepted: 11/02/2020] [Indexed: 12/11/2022]
Abstract
Fetal cardiovascular MRI is showing promise as a clinical diagnostic tool in the setting of congenital heart disease when the cardiac anatomy is unresolved by US or when complementary quantitative data on blood flow, oxygen saturation and hematocrit are required to aid in management. Compared with postnatal cardiovascular MRI, prenatal cardiovascular MRI still has some technical limitations. However, ongoing technical advances continue to improve the robustness and usability of fetal cardiovascular MRI. In this review, we provide an overview of the state of the art of fetal cardiovascular MRI and summarize the current focus of clinical application for this versatile technique.
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Coblentz AC, Teixeira SR, Mirsky DM, Johnson AM, Feygin T, Victoria T. How to read a fetal magnetic resonance image 101. Pediatr Radiol 2020; 50:1810-1829. [PMID: 33252751 DOI: 10.1007/s00247-020-04768-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/22/2020] [Accepted: 07/01/2020] [Indexed: 12/18/2022]
Abstract
Accurate antenatal diagnosis is essential for planning appropriate pregnancy management and improving perinatal outcomes. The provision of information vital for prognostication is a crucial component of prenatal imaging, and this can be enhanced by the use of fetal MRI. Image acquisition, interpretation and reporting of a fetal MR study can be daunting to the individual who has encountered few or none of these examinations. This article provides the radiology trainee with a general approach to interpreting a fetal MRI. The authors review the added value of prenatal MRI in the overall assessment of fetal wellbeing, discuss MRI protocols and techniques, and review the normal appearance of maternal and fetal anatomy. The paper concludes with a sample template for structured reporting, to serve as a checklist and guideline for reporting radiologists.
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Affiliation(s)
- Ailish C Coblentz
- Radiology Department, The Children's Hospital of Philadelphia, 34th Street and Civic Center Boulevard, Philadelphia, PA, 10104, USA
| | - Sara R Teixeira
- Radiology Department, The Children's Hospital of Philadelphia, 34th Street and Civic Center Boulevard, Philadelphia, PA, 10104, USA
| | - David M Mirsky
- Neuroradiology Department, Children's Hospital of Colorado, Aurora, CO, USA
| | - Ann M Johnson
- Radiology Department, The Children's Hospital of Philadelphia, 34th Street and Civic Center Boulevard, Philadelphia, PA, 10104, USA
| | - Tamara Feygin
- Radiology Department, The Children's Hospital of Philadelphia, 34th Street and Civic Center Boulevard, Philadelphia, PA, 10104, USA
| | - Teresa Victoria
- Radiology Department, The Children's Hospital of Philadelphia, 34th Street and Civic Center Boulevard, Philadelphia, PA, 10104, USA.
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Prayer D, Deprest J. The use of MRI in fetal conditions amenable for antenatal management. Prenat Diagn 2020; 40:3-5. [PMID: 31860748 DOI: 10.1002/pd.5629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 11/16/2019] [Indexed: 11/12/2022]
Affiliation(s)
- Daniela Prayer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Austria
| | - Jan Deprest
- Clinical Department of Obstetrics and Gynaecology, University Hospitals Leuven, and Academic Development and Regeneration, Cluster Woman and Child, Leuven, Belgium.,Institute for Women's Health, University College London, London, UK
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