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Yang X, Liu L, Yan Z, Yu J, Hu X, Yu X, Dong C, Chen J, Liu H, Yu Z, Deng X, Ni D, Huang X, Gou Z. Hierarchical online contrastive anomaly detection for fetal arrhythmia diagnosis in ultrasound. Med Image Anal 2024; 97:103229. [PMID: 38897033 DOI: 10.1016/j.media.2024.103229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 03/10/2024] [Accepted: 06/03/2024] [Indexed: 06/21/2024]
Abstract
Arrhythmia is a major cardiac abnormality in fetuses. Therefore, early diagnosis of arrhythmia is clinically crucial. Pulsed-wave Doppler ultrasound is a commonly used diagnostic tool for fetal arrhythmia. Its key step for diagnosis involves identifying adjacent measurable cardiac cycles (MCCs). As cardiac activity is complex and the experience of sonographers is often varied, automation can improve user-independence and diagnostic-validity. However, arrhythmias pose several challenges for automation because of complex waveform variations, which can cause major localization bias and missed or false detection of MCCs. Filtering out non-MCC anomalies is difficult because of large intra-class and small inter-class variations between MCCs and non-MCCs caused by agnostic morphological waveform variations. Moreover, rare arrhythmia cases are insufficient for classification algorithms to adequately learn discriminative features. Using only normal cases for training, we propose a novel hierarchical online contrastive anomaly detection (HOCAD) framework for arrhythmia diagnosis during test time. The contribution of this study is three-fold. First, we develop a coarse-to-fine framework inspired by hierarchical diagnostic logic, which can refine localization and avoid missed detection of MCCs. Second, we propose an online learning-based contrastive anomaly detection with two new anomaly scores, which can adaptively filter out non-MCC anomalies on a single image during testing. With these complementary efforts, we precisely determine MCCs for correct measurements and diagnosis. Third, to the best of our knowledge, this is the first reported study investigating intelligent diagnosis of fetal arrhythmia on a large-scale and multi-center ultrasound dataset. Extensive experiments on 3850 cases, including 266 cases covering three typical types of arrhythmias, demonstrate the effectiveness of the proposed framework.
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Affiliation(s)
- Xin Yang
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China, Shenzhen, China; Medical Ultrasound Image Computing (MUSIC) Laboratory, Shenzhen University, Shenzhen, China
| | - Lian Liu
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China, Shenzhen, China; Medical Ultrasound Image Computing (MUSIC) Laboratory, Shenzhen University, Shenzhen, China
| | - Zhongnuo Yan
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China, Shenzhen, China; Medical Ultrasound Image Computing (MUSIC) Laboratory, Shenzhen University, Shenzhen, China
| | - Junxuan Yu
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China, Shenzhen, China; Medical Ultrasound Image Computing (MUSIC) Laboratory, Shenzhen University, Shenzhen, China
| | - Xindi Hu
- Shenzhen RayShape Medical Technology Co., Ltd, Shenzhen, Guangdong, China
| | - Xuejuan Yu
- Department of Ultrasonography, Suzhou Xiangcheng People's Hospital, Suzhou, Jiangsu, China
| | - Caixia Dong
- Department of Ultrasonography, Wulin Hospital, Hangzhou, Zhejiang, China
| | - Ju Chen
- Department of Ultrasonography, Taicang First People's Hospital, Suzhou, Jiangsu, China
| | - Hongmei Liu
- Department of Ultrasonography, Panzhou Emerging Hospital, Panzhou, Guizhou, China
| | - Zhuan Yu
- Department of Ultrasonography, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Xuedong Deng
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Dong Ni
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China, Shenzhen, China; Medical Ultrasound Image Computing (MUSIC) Laboratory, Shenzhen University, Shenzhen, China
| | - Xiaoqiong Huang
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China, Shenzhen, China; Medical Ultrasound Image Computing (MUSIC) Laboratory, Shenzhen University, Shenzhen, China.
| | - Zhongshan Gou
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China.
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Sulas E, Ortu E, Urru M, Tumbarello R, Raffo L, Solinas G, Pani D. Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles. PLoS One 2021; 16:e0248114. [PMID: 33909636 PMCID: PMC8081200 DOI: 10.1371/journal.pone.0248114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 02/22/2021] [Indexed: 01/09/2023] Open
Abstract
Fetal echocardiography is an operator-dependent examination technique requiring a high level of expertise. Pulsed-wave Doppler (PWD) is often used as a reference for the mechanical activity of the heart, from which several quantitative parameters can be extracted. These aspects suggest the development of software tools that can reliably identify complete and clinically meaningful fetal cardiac cycles that can enable their automatic measurement. Several scientific works have addressed the tracing of the PWD velocity envelope. In this work, we assess the different steps involved in the signal processing chains that enable PWD envelope tracing. We apply a supervised classifier trained on envelopes traced by different signal processing chains for distinguishing complete and measurable PWD heartbeats from incomplete or malformed ones, which makes it possible to determine the impact of each of the different processing steps on the detection accuracy. In this study, we collected 43 images and labeled 174,319 PWD segments from 25 pregnant women volunteers. By considering seven envelope tracing techniques and the 23 different processing steps involved in their implementation, the results of our study reveal that, compared to the steps investigated in most other works, those that achieve binarisation and envelope extraction are significantly more important (p < 0.05). The best approaches among those studied enabled greater than 98% accuracy on our large manually annotated dataset.
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Affiliation(s)
- Eleonora Sulas
- Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
- * E-mail:
| | - Emanuele Ortu
- Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
| | - Monica Urru
- Division of Pediatric Cardiology, San Michele Hospital, Cagliari, Italy
| | | | - Luigi Raffo
- Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
| | - Giuliana Solinas
- Department of Biomedical Science, University of Sassari, Sassari, Italy
| | - Danilo Pani
- Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
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Sulas E, Urru M, Tumbarello R, Raffo L, Sameni R, Pani D. A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research. Sci Data 2021; 8:30. [PMID: 33500414 PMCID: PMC7838287 DOI: 10.1038/s41597-021-00811-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 12/18/2020] [Indexed: 12/29/2022] Open
Abstract
Non-invasive foetal electrocardiography (fECG) continues to be an open topic for research. The development of standard algorithms for the extraction of the fECG from the maternal electrophysiological interference is limited by the lack of publicly available reference datasets that could be used to benchmark different algorithms while providing a ground truth for foetal heart activity when an invasive scalp lead is unavailable. In this work, we present the Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research (NInFEA), the first open-access multimodal early-pregnancy dataset in the field that features simultaneous non-invasive electrophysiological recordings and foetal pulsed-wave Doppler (PWD). The dataset is mainly conceived for researchers working on fECG signal processing algorithms. The dataset includes 60 entries from 39 pregnant women, between the 21st and 27th week of gestation. Each dataset entry comprises 27 electrophysiological channels (2048 Hz, 22 bits), a maternal respiration signal, synchronised foetal trans-abdominal PWD and clinical annotations provided by expert clinicians during signal acquisition. MATLAB snippets for data processing are also provided.
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Affiliation(s)
- Eleonora Sulas
- University of Cagliari, Department of Electrical and Electronic Engineering, Cagliari, 09123, Italy
| | - Monica Urru
- Brotzu Hospital, Pediatric Cardiology and Congenital Heart Disease Unit, Cagliari, 09134, Italy
| | - Roberto Tumbarello
- Brotzu Hospital, Pediatric Cardiology and Congenital Heart Disease Unit, Cagliari, 09134, Italy
| | - Luigi Raffo
- University of Cagliari, Department of Electrical and Electronic Engineering, Cagliari, 09123, Italy
| | - Reza Sameni
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, 30322, US
| | - Danilo Pani
- University of Cagliari, Department of Electrical and Electronic Engineering, Cagliari, 09123, Italy.
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Teramachi Y, Maeno Y, Hirose A, Horinouchi T, Kozuma Y, Yoshizato T, Suda K. Simple method to distinguish the type of fetal premature contraction using arterial Doppler time interval measurements. J Obstet Gynaecol Res 2020; 47:495-500. [PMID: 33164296 PMCID: PMC7894151 DOI: 10.1111/jog.14563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 10/12/2020] [Accepted: 10/16/2020] [Indexed: 11/01/2022]
Abstract
AIM The purpose of this study was to establish a simple method to distinguish premature ventricular contractions (PVC) from premature atrial contractions (PAC) using a fetal Doppler ultrasound arterial pulse waveform to measure time intervals between sinus node restarting. METHODS We retrospectively identified 14 fetuses with premature contraction (8 with PAC, 6 with PVC). We measured two distinct parts of time intervals using an arterial pulsed-wave Doppler: the two consecutive waveforms just before the premature contraction (2-V interval) and two consecutive waveforms including the premature contraction (XV interval) to measure time intervals between sinus node restarting. We then evaluated the time difference between the 2-V and XV intervals in PVC compared to PAC. RESULTS For PVC, the difference between the 2-V interval and the XV interval was significantly shorter than that for PAC. A cut-off point of 33 ms, where a difference ≤33 ms was clearly shown to be associated with a PVC and a difference more than 33 ms signified a PAC was demonstrated. CONCLUSION The 2-V and XV interval measurements, used to measure time intervals between sinus node restarting, could easily distinguish PVC from PAC in utero. Therefore, this study could potentially be a feasible and effective method for obstetricians or sonographers to employ usefully.
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Affiliation(s)
- Yozo Teramachi
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Yasuki Maeno
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Akiko Hirose
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Takashi Horinouchi
- Department of Obstetrics and Gynecology, Kurume University School of Medicine, Kurume, Japan
| | - Yutaka Kozuma
- Department of Obstetrics and Gynecology, Kurume University School of Medicine, Kurume, Japan
| | - Toshiyuki Yoshizato
- Department of Obstetrics and Gynecology, Kurume University School of Medicine, Kurume, Japan
| | - Kenji Suda
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
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Sulas E, Urru M, Tumbarello R, Raffo L, Pani D. Automatic detection of complete and measurable cardiac cycles in antenatal pulsed-wave Doppler signals. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2020; 190:105336. [PMID: 32007836 DOI: 10.1016/j.cmpb.2020.105336] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 12/21/2019] [Accepted: 01/09/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND AND OBJECTIVE Pulsed-wave Doppler (PWD) echocardiography is the primary tool for antenatal cardiological diagnosis. Based on it, different measurements and validated reference parameters can be extracted. The automatic detection of complete and measurable cardiac cycles would represent a useful tool for the quality assessment of the PWD trace and the automated analysis of long traces. METHODS This work proposes and compares three different algorithms for this purpose, based on the preliminary extraction of the PWD velocity spectrum envelopes: template matching, supervised classification over a reduced set of relevant waveshape features, and supervised classification over the whole waveshape potentially representing a cardiac cycle. A custom dataset comprising 43 fetal cardiac PWD traces (174,319 signal segments) acquired on an apical five-chamber window was developed and used for the assessment of the different algorithms. RESULTS The adoption of a supervised classifier trained with the samples representing the upper and lower envelopes of the PWD, with additional features extracted from the image, achieved significantly better results (p < 0.0001) than the other algorithms, with an average accuracy of 98% ± 1% when using an SVM classifier and a leave-one-subject-out cross-validation. Further, the robustness of the results with respect to the classifier model was proved. CONCLUSIONS The results reveal excellent detection performance, suggesting that the proposed approach can be adopted for the automatic analysis of long PWD traces or embedded in ultrasound machines as a first step for the extraction of measurements and reference clinical parameters.
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Affiliation(s)
- Eleonora Sulas
- Department of Electrical and Electronic Engineering, University of Cagliari, Italy.
| | - Monica Urru
- Division of Pediatric Cardiology, San Michele Hospital, Cagliari, Italy
| | | | - Luigi Raffo
- Department of Electrical and Electronic Engineering, University of Cagliari, Italy
| | - Danilo Pani
- Department of Electrical and Electronic Engineering, University of Cagliari, Italy
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Yuan SM, Xu ZY. Fetal arrhythmias: prenatal evaluation and intrauterine therapeutics. Ital J Pediatr 2020; 46:21. [PMID: 32050988 PMCID: PMC7017517 DOI: 10.1186/s13052-020-0785-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/03/2020] [Indexed: 11/24/2022] Open
Abstract
Introduction Fetal arrhythmias are a common phenomenon with rather complicated etiologies. Debates remain regarding prenatal diagnosis and treatment of fetal arrhythmias. Methods The literature reporting on prenatal diagnosis and treatment of fetal arrhythmias published in the recent two decades were retrieved, collected and analyzed. Results Both fetal magnetocardiogram and electrocardiogram provide information of cardiac time intervals, including the QRS and QT durations. M-mode ultrasound detects the AV and VA intervals, fetal heart rate, and AV conduction. By using Doppler ultrasound, simultaneous recording of the atrial and ventricular waves can be obtained. Benign fetal arrhythmias, including premature contractions and sinus tachycardia, do not need any treatment before and after birth. Sustained fetal arrhythmias that predispose to the occurrence of hydrops fetalis, cardiac dysfunction or eventual fetal demise require active treatments. Intrauterine therapy of fetal tachyarrhythmias has been carried out by the transplacental route. If maternal transplacental treatment fails, intraumbilical, intraperitoneal, or direct fetal intramuscular injection of antiarrhythmic agents can be attempted. Conclusions The outcomes of intrauterine therapy of fetal tachyarrhythmias depend on the types or etiology of fetal arrhythmias and fetal conditions. Most are curable to a transplacental treatment by the first-line antiarrhythmic agents. Fetal cardiac pacings are effective methods to restore sinus rhythm in drug-resistant or hemodynamically compromised cases. Immediate postnatal pacemaker implantation is warranted in refractory cases.
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Affiliation(s)
- Shi-Min Yuan
- Department of Cardiothoracic Surgery, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, 389 Longdejing Street, Chengxiang District, Putian, 351100, Fujian Province, People's Republic of China
| | - Zhi-Yang Xu
- Department of Cardiothoracic Surgery, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, 389 Longdejing Street, Chengxiang District, Putian, 351100, Fujian Province, People's Republic of China.
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Abstract
Fetal arrhythmias are common, and they may resolve spontaneously in majority of the cases. Sustained fetal arrhythmias associated with major structural heart disorders, hydrops fetalis, and fetal heart failure warrant intrauterine pharmaceutical conversion of heart rhythm or early pacemaker implant in order to avoid fetal demise. Fetal atrial flutter (AF) and supraventricular tachycardia (SVT) resemble in terms of the effects of intrauterine therapies. Digoxin is more suitable for rhythm conversion of fetal AF and SVT in fetuses free of hydrops fetalis, while sotalol shows better effects for those with hydrops fetalis. In fetal cases of atrioventricular blocks, an etiological treatment for the maternal antibody exposure by steroids could be an alternative remedy. In this article, the clinical diagnosis and treatment of fetal arrhythmias are presented, and advantages and disadvantages of antiarrhythmic agents for fetal arrhythmias are compared.
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Affiliation(s)
- Shi-Min Yuan
- Department of Cardiothoracic Surgery, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, Fujian Province, China
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Carvalho JS. Fetal dysrhythmias. Best Pract Res Clin Obstet Gynaecol 2019; 58:28-41. [PMID: 30738635 DOI: 10.1016/j.bpobgyn.2019.01.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 12/31/2018] [Accepted: 01/07/2019] [Indexed: 11/18/2022]
Abstract
Fetal dysrhythmias are common abnormalities, usually manifesting as irregular rhythms. Although most irregularities are benign and caused by isolated atrial ectopics, in a few cases, rhythm irregularity may indicate partial atrioventricular block, which has different etiological and prognostic implications. We provide a flowchart for the initial management of irregular rhythm to help select cases requiring urgent specialist referral. Tachycardias and bradycardias are less frequent, can lead to hemodynamic compromise, and may require in utero therapy. Pharmacological treatment of tachycardia depends on the type (supraventricular tachycardia or atrial flutter) and presence of hydrops, with digoxin, flecainide, and sotalol being commonly used. An ongoing randomized trial may best inform about their efficacy. Bradycardia due to blocked bigeminy normally resolves spontaneously, but if it is due to established complete heart block, there is no effective treatment. Ongoing research suggests hydroxychloroquine may reduce the risk of autoimmune atrioventricular block. Sinus bradycardia (rate <3rd centile) may be a prenatal marker for long-QT syndrome.
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Affiliation(s)
- Julene S Carvalho
- Royal Brompton and Harefield NHS Foundation Trust, Sydney Street, London, SW3 6NP, UK; Fetal Medicine Unit, St George's University Hospital, Blackshaw Road, London, SW17 0QT, UK; Molecular and Clinical Sciences Research Institute, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK.
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Yuan SM. Fetal arrhythmias: Surveillance and management. Hellenic J Cardiol 2018; 60:72-81. [PMID: 30576831 DOI: 10.1016/j.hjc.2018.12.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 12/04/2018] [Accepted: 12/11/2018] [Indexed: 10/27/2022] Open
Abstract
Fetal arrhythmias warrant sophisticated surveillance and management, especially for the high-risk pregnancies. Clinically, fetal arrhythmias can be categorized into 3 types: premature contractions, tachyarrhythmias, and bradyarrhythmias. Fetal arrhythmias include electrocardiography, cardiotocography, echocardiography and magnetocardiography. Oxygen saturation monitoring can be an effective way of fetal surveillance for congenital complete AV block or SVT during labor. Genetic surveillance of fetal arrhythmias may facilitate the understanding of the mechanisms of the arrhythmias and provide theoretical basis for diagnosis and treatment. For fetal benign arrhythmias, usually no treatment but a close follow-up is need, while persistant fetal arrhythmias with congestive heart dysfunction or hydrops fetalis, intrauterine or postnatal treatments are required. The prognoses of fetal arrhythmias depend on the type and severity of fetal arrhythmias and the associated fetal conditions. Responses of fetal arrhythmias to individual treatments and clinical schemes are heterogeneous, and the prognoses are poor particularly under such circumstances.
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Affiliation(s)
- Shi-Min Yuan
- Department of Cardiothoracic Surgery, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, Fujian Province, People's Republic of China.
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Hunter LE, Simpson JM. Atrioventricular block during fetal life. J Saudi Heart Assoc 2014; 27:164-78. [PMID: 26136631 PMCID: PMC4481419 DOI: 10.1016/j.jsha.2014.07.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Revised: 06/27/2014] [Accepted: 07/05/2014] [Indexed: 12/21/2022] Open
Abstract
Congenital complete atrioventricular (AV) block occurs in approximately 1 in 20,000 live births and is known to result in significant mortality and morbidity both during fetal life and postnatally. Complete AV block can occur as a result of an immune or a non-immune mediated process. Immune mediated AV block is a multifactorial disease, but is associated with the trans-placental passage of maternal autoantibodies (anti-Ro/SSA and/or anti-La/SSB). These autoantibodies attach to and subsequently damage the cardiomyocytes and conduction tissue in susceptible fetuses. In this report, we examine the evidence in reference to means of assessment, pathophysiology, and potential prenatal therapy of atrioventricular block.
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Affiliation(s)
- Lindsey E. Hunter
- Fetal Cardiology Unit, Department of Congenital Heart Disease, Evelina London Children’s Hospital, London, UK
| | - John M. Simpson
- Fetal Cardiology Unit, Department of Congenital Heart Disease, Evelina London Children’s Hospital, London, UK
- Corresponding author. Tel.: +44 20 7188 2308; fax: +44 20 7188 2307.
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