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Yang X, Huang X, Wei C, Yu J, Yu X, Dong C, Chen J, Chen R, Wu X, Yu Z, Sun B, Wang J, Liu H, Han W, Sun B, Jiang Z, Ding J, Liu Z, Peng J, Ni D, Deng X, Liu L, Gou Z. An intelligent quantification system for fetal heart rhythm assessment: A multicenter prospective study. Heart Rhythm 2024; 21:600-609. [PMID: 38266752 DOI: 10.1016/j.hrthm.2024.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/04/2024] [Accepted: 01/15/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND The motion relationship and time intervals of the pulsed-wave Doppler (PWD) spectrum are essential for diagnosing fetal arrhythmia. However, few technologies currently are available to automatically calculate fetal cardiac time intervals (CTIs). OBJECTIVE The purpose of this study was to develop a fetal heart rhythm intelligent quantification system (HR-IQS) for the automatic extraction of CTIs and establish the normal reference range for fetal CTIs. METHODS A total of 6498 PWD spectrums of 2630 fetuses over the junction between the left ventricular inflow and outflow tracts were recorded across 14 centers. E, A, and V waves were manually labeled by 3 experienced fetal cardiologists, with 17 CTIs extracted. Five-fold cross-validation was performed for training and testing of the deep learning model. Agreement between the manual and HR-IQS-based values was evaluated using the intraclass correlation coefficient and Spearman's rank correlation coefficient. The Jarque-Bera test was applied to evaluate the normality of CTIs' distributions, and the normal reference range of 17 CTIs was established with quantile regression. Arrhythmia subset was compared with the non-arrhythmia subset using the Mann-Whitney U test. RESULTS Significant positive correlation (P <.001) and moderate-to-excellent consistency (P <.001) between the manual and HR-IQS automated measurements of CTIs was found. The distribution of CTIs was non-normal (P <.001). The normal range (2.5th to 97.5th percentiles) was successfully established for the 17 CTIs. CONCLUSIONS Using our HR-IQS is feasible for the automated calculation of CTIs in practice and thus could provide a promising tool for the assessment of fetal rhythm and function.
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Affiliation(s)
- Xin Yang
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Xiaoqiong Huang
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Chenchen Wei
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Junxuan Yu
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China; 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
| | - Ruifeng Chen
- Department of Ultrasound Diagnosis, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Xiafang Wu
- Department of Ultrasonography, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Zhuan Yu
- Department of Ultrasonography, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Baojuan Sun
- Department of Ultrasonography, Huai'an Maternal and Child Health Hospital, Huai'an, Jiangsu, China
| | - Junli Wang
- Department of Ultrasonography, Wuhu No.2 People's Hospital, Wuhu, Anhui, China
| | - Hongmei Liu
- Department of Ultrasonography, Panzhou Emerging Hospital, Panzhou, Guizhou, China
| | - Wen Han
- Department of Ultrasonography, Suzhou Gaoxin District People's Hospital, Suzhou, Jiangsu, China
| | - Biyun Sun
- Department of Ultrasonography, The Affiliated Yijishan Hospital of Wannan Medical University, Wuhu, Anhui, China
| | - Zhiyong Jiang
- Department of Ultrasonography, The Huaren Hospital, Wuhu, Zhejiang, China
| | - Jie Ding
- Department of Ultrasonography, The Affiliated Suzhou Hospital of Nanjing University, Suzhou, Jiangsu, China
| | - Zhe Liu
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China; Shenzhen RayShape Medical Technology Co., Ltd, Shenzhen, Guangdong, China
| | - Jin Peng
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China; Shenzhen RayShape Medical Technology Co., Ltd, Shenzhen, Guangdong, China
| | - Dong Ni
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Xuedong Deng
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Lian Liu
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China; Shenzhen RayShape Medical Technology Co., Ltd, Shenzhen, Guangdong, China.
| | - Zhongshan Gou
- Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
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Abstract
AIMS Detection and careful stratification of fetal heart rate (FHR) is extremely important in all pregnancies. The most lethal cardiac rhythm disturbances occur during apparently normal pregnancies where FHR and rhythm are regular and within normal or low-normal ranges. These hidden depolarization and repolarization abnormalities, associated with genetic ion channelopathies cannot be detected by echocardiography, and may be responsible for up to 10% of unexplained fetal demise, prompting a need for newer and better fetal diagnostic techniques. Other manifest fetal arrhythmias such as premature beats, tachycardia, and bradycardia are commonly recognized. METHODS Heart rhythm diagnosis in obstetrical practice is usually made by M-mode and pulsed Doppler fetal echocardiography, but not all fetal cardiac time intervals are captured by echocardiographic methods. RESULTS AND CONCLUSIONS This article reviews different types of fetal arrhythmias, their presentation and treatment strategies, and gives an overview of the present and future diagnostic techniques.
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Affiliation(s)
| | - Janette F. Strasburger
- Division of Cardiology, Department of Pediatrics, Children’s Hospital of Wisconsin-Milwaukee and Fox Valley, Milwaukee, Wisconsin
| | - Bettina F. Cuneo
- Department of Pediatrics, Children’s Hospital Colorado, The Heart Institute, The University of Colorado School of Medicine, Denver, Colorado
| | - Ronald T. Wakai
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin
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Donofrio MT, Moon-Grady AJ, Hornberger LK, Copel JA, Sklansky MS, Abuhamad A, Cuneo BF, Huhta JC, Jonas RA, Krishnan A, Lacey S, Lee W, Michelfelder EC, Rempel GR, Silverman NH, Spray TL, Strasburger JF, Tworetzky W, Rychik J. Diagnosis and treatment of fetal cardiac disease: a scientific statement from the American Heart Association. Circulation 2014; 129:2183-242. [PMID: 24763516 DOI: 10.1161/01.cir.0000437597.44550.5d] [Citation(s) in RCA: 707] [Impact Index Per Article: 70.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND The goal of this statement is to review available literature and to put forth a scientific statement on the current practice of fetal cardiac medicine, including the diagnosis and management of fetal cardiovascular disease. METHODS AND RESULTS A writing group appointed by the American Heart Association reviewed the available literature pertaining to topics relevant to fetal cardiac medicine, including the diagnosis of congenital heart disease and arrhythmias, assessment of cardiac function and the cardiovascular system, and available treatment options. The American College of Cardiology/American Heart Association classification of recommendations and level of evidence for practice guidelines were applied to the current practice of fetal cardiac medicine. Recommendations relating to the specifics of fetal diagnosis, including the timing of referral for study, indications for referral, and experience suggested for performance and interpretation of studies, are presented. The components of a fetal echocardiogram are described in detail, including descriptions of the assessment of cardiac anatomy, cardiac function, and rhythm. Complementary modalities for fetal cardiac assessment are reviewed, including the use of advanced ultrasound techniques, fetal magnetic resonance imaging, and fetal magnetocardiography and electrocardiography for rhythm assessment. Models for parental counseling and a discussion of parental stress and depression assessments are reviewed. Available fetal therapies, including medical management for arrhythmias or heart failure and closed or open intervention for diseases affecting the cardiovascular system such as twin-twin transfusion syndrome, lung masses, and vascular tumors, are highlighted. Catheter-based intervention strategies to prevent the progression of disease in utero are also discussed. Recommendations for delivery planning strategies for fetuses with congenital heart disease including models based on classification of disease severity and delivery room treatment will be highlighted. Outcome assessment is reviewed to show the benefit of prenatal diagnosis and management as they affect outcome for babies with congenital heart disease. CONCLUSIONS Fetal cardiac medicine has evolved considerably over the past 2 decades, predominantly in response to advances in imaging technology and innovations in therapies. The diagnosis of cardiac disease in the fetus is mostly made with ultrasound; however, new technologies, including 3- and 4-dimensional echocardiography, magnetic resonance imaging, and fetal electrocardiography and magnetocardiography, are available. Medical and interventional treatments for select diseases and strategies for delivery room care enable stabilization of high-risk fetuses and contribute to improved outcomes. This statement highlights what is currently known and recommended on the basis of evidence and experience in the rapidly advancing and highly specialized field of fetal cardiac care.
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