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Doroshenko OV, Kuchumov AG, Golub MV, Rakisheva IO, Skripka NA, Pavlov SP, Strazhec YA, Lazarkov PV, Saychenko ND, Shekhmametyev RM. Investigation of Relationship between Hemodynamic and Morphometric Characteristics of Aortas in Pediatric Patients. J Clin Med 2024; 13:5141. [PMID: 39274354 PMCID: PMC11395979 DOI: 10.3390/jcm13175141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 08/23/2024] [Accepted: 08/28/2024] [Indexed: 09/16/2024] Open
Abstract
Background: The utilization of hemodynamic parameters, whose estimation is often cumbersome, can fasten diagnostics and decision-making related to congenital heart diseases. The main goal of this study is to investigate the relationship between hemodynamic and morphometric features of the thoracic aorta and to construct corresponding predictive models. Methods: Multi-slice spiral computed tomography images of the aortas of patients with coarctation diagnoses and patients without cardiac or vascular diseases were evaluated to obtain numerical models of the aorta and branches of the aortic arch. Hemodynamic characteristics were estimated in key subdomains of the aorta and three branches using computational fluid dynamics methods. The key morphometric features (diameters) were calculated at locations in proximity to the domains, where hemodynamic characteristics are evaluated. Results: The functional dependencies for velocities and pressure on the corresponding diameters have been fitted, and a metamodel has been constructed employing the predicted values from these models. Conclusions: The metamodel demonstrated high accuracy in classifying aortas into their respective types, thereby confirming the adequacy of the predicted hemodynamic characteristics by morphometric characteristics. The proposed methodology is applicable to other heart diseases without fundamental changes.
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Affiliation(s)
- Olga V Doroshenko
- Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia
| | - Alex G Kuchumov
- Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia
- Biofluids Laboratory, Perm National Research Polytechnic University, Perm 614990, Russia
- Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia
| | - Mikhail V Golub
- Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia
| | - Irina O Rakisheva
- Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia
| | - Nikita A Skripka
- Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia
| | - Sergey P Pavlov
- Department of General Anatomy, Kuban State Medical University, Krasnodar 350063, Russia
| | - Yulija A Strazhec
- Biofluids Laboratory, Perm National Research Polytechnic University, Perm 614990, Russia
- Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia
| | | | - Nikita D Saychenko
- Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia
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Phillips AA, Punn R, Algaze C, Blumenfeld YJ, Chock VY, Kwiatkowski DM, Quirin A, Tacy TA, Thorson K, Maskatia SA. Left Ventricular Strain, Arch Angulation, and Velocity-Time Integral Ratio Improve Performance of a Clinical Pathway for Fetal Diagnosis of Neonatal Coarctation of the Aorta. Fetal Diagn Ther 2024; 51:320-334. [PMID: 38621375 PMCID: PMC11318582 DOI: 10.1159/000538550] [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: 11/21/2023] [Accepted: 03/22/2024] [Indexed: 04/17/2024]
Abstract
INTRODUCTION Neonatal presentation of coarctation of the aorta (CoA) is a potentially life-threatening condition that is difficult to diagnose in fetal life. We therefore sought to validate and compare novel metrics that may add diagnostic value for fetal CoA, including the diastolic to systolic aortic isthmus VTI ratio (VTId:VTIs), ascending aorta to descending aorta angle (AAo-DAo), transverse aorta to descending aorta angle (TAo-DAo), and LV longitudinal strain (LVS), then to evaluate whether these novel metrics improve specificity to identify fetuses at the highest risk for postnatal CoA without compromising sensitivity. METHODS Retrospective cohort study of fetuses followed a prospective clinical pathway and previously classified as mild, moderate, or high-risk for CoA based on standard fetal echo metrics. Novel metrics were retrospectively measured in a blinded manner. RESULTS Among fetuses with prenatal concern for CoA, VTId:VTIs, AAo-DAo angle, TAo-DAo angle, and LVS were significantly different between surgical and non-surgical cases (p < 0.01 for all variables). In the subgroup of moderate- and high-risk fetuses, the standard high-risk criteria (flow reversal at the foramen ovale or aortic arch) did not discriminate effectively between surgical and non-surgical cases. VTId:VTIs, AAo-Dao angle, Tao-DAo angle, and LVS all demonstrated greater discrimination than standard high-risk criteria, with specificity of 100% and PPV (positive predictive value) of 78-100%. CONCLUSIONS The incorporation of novel metrics added diagnostic value to our clinical pathway for fetal CoA with higher specificity than the previous high-risk criteria. The incorporation of these metrics into the evaluation of fetuses at moderate- or high-risk for surgical CoA may improve prenatal counseling, allow for more consistent surgical planning, and ultimately optimize hospital resource allocation.
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Affiliation(s)
- Aaron Anthony Phillips
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Rajesh Punn
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Fetal and Pregnancy Health Program, Stanford Children’s Health, Stanford, CA, USA
| | - Claudia Algaze
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Yair J. Blumenfeld
- Fetal and Pregnancy Health Program, Stanford Children’s Health, Stanford, CA, USA
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Valerie Y. Chock
- Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - David M. Kwiatkowski
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Amy Quirin
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Theresa A. Tacy
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Fetal and Pregnancy Health Program, Stanford Children’s Health, Stanford, CA, USA
| | - Kelly Thorson
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Shiraz A. Maskatia
- Divisions of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
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Guo N, Zhou K, Li Y, Luo S, Liu L, Liu H. A cohort study to investigate the potential indicators for prenatal echocardiographic detection of suspected coarctation of the aorta. Front Cardiovasc Med 2023; 10:1279453. [PMID: 38028462 PMCID: PMC10667901 DOI: 10.3389/fcvm.2023.1279453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Objectives Suspected coarctation of the aorta (CoA) is a common fetal echocardiographic presentation. However, the prenatal findings did not indicate a satisfied accuracy in determining the truly CoA after birth, which made the prenatal diagnosis of CoA still as a critical challenge with high false positive rate. Thus, this research is aimed to distinguish the potential prenatal parameters influencing the fetal echocardiographic images and enhance the true positive diagnostic rate of CoA fetuses which require early clinical intervention in postnatal life. Methods A retrospective study had been designed and fetuses with suspected with CoA had been included from Jan 2016 to Dec 2021 in our center. The fetal echocardiography and related clinical information had been collected. And the postnatal diagnosis had been reached by echocardiography or CTA. Then, all the parameters had been analyzed by univariate analysis, and a multivariate logistic regression analysis was further involved to determine the independent parameters influencing the accuracy of diagnosis CoA fetuses. Moreover, such results had been validated by nomogram analysis and ROC curve. Results Among the included 44 liveborn infants who presented suspected CoA in fetal cardiac screening, 18 cases had been proved to be CoA postnatally (Group P). The true positive rate for this study was 40.9% (18/44). The abnormal atrial hemodynamic status (AAHs) and the gestational week of delivery (GWoD) were associated with the postnatal CoA confirmation among prenatal suspected fetuses. The ROC curve of predicting probability of the mode combined with two independent factors of absence of AAH and GWoD (AUC = 0.880, 95% CI 0.763-0.997) presented a satisfied efficacy in distinguishing postnatal positive CoA diagnosis. The nomogram plot had been be utilized in CoA prediction (model likelihood ratio test, p < 0.0001). Conclusions AAH and GWoD had been identified as independent factors of predictive accuracy in detecting postnatal CoA among prenatal suspected fetuses. The prediction mode based on nomogram scores could be used to predict the risk of occurring CoA fetuses.
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Affiliation(s)
- Nan Guo
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, Sichuan University, Chengdu, China
- Department of Ultrasonic Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Kaiyu Zhou
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, Sichuan University, Chengdu, China
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yifei Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, Sichuan University, Chengdu, China
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Shuhua Luo
- Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Liu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, Sichuan University, Chengdu, China
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Hanmin Liu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, Sichuan University, Chengdu, China
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
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Hermida U, van Poppel MPM, Lloyd DFA, Steinweg JK, Vigneswaran TV, Simpson JM, Razavi R, De Vecchi A, Pushparajah K, Lamata P. Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta. J Cardiovasc Transl Res 2023; 16:738-747. [PMID: 36301513 PMCID: PMC10299929 DOI: 10.1007/s12265-022-10335-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 10/13/2022] [Indexed: 10/31/2022]
Abstract
Neonatal coarctation of the aorta (CoA) is a common congenital heart defect. Its antenatal diagnosis remains challenging, and its pathophysiology is poorly understood. We present a novel statistical shape modeling (SSM) pipeline to study the role and predictive value of arch shape in CoA in utero. Cardiac magnetic resonance imaging (CMR) data of 112 fetuses with suspected CoA was acquired and motion-corrected to three-dimensional volumes. Centerlines from fetal arches were extracted and used to build a statistical shape model capturing relevant anatomical variations. A linear discriminant analysis was used to find the optimal axis between CoA and false positive cases. The CoA shape risk score classified cases with an area under the curve of 0.907. We demonstrate the feasibility of applying a SSM pipeline to three-dimensional fetal CMR data while providing novel insights into the anatomical determinants of CoA and the relevance of in utero arch anatomy for antenatal diagnosis of CoA.
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Affiliation(s)
- Uxio Hermida
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK
| | - Milou P M van Poppel
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - David F A Lloyd
- Department of Perinatal Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
| | - Johannes K Steinweg
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
| | - Trisha V Vigneswaran
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
- Harris Birthright Centre, Fetal Medicine Research Institute, King's College Hospital, London, UK
| | - John M Simpson
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
- Harris Birthright Centre, Fetal Medicine Research Institute, King's College Hospital, London, UK
| | - Reza Razavi
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
| | - Adelaide De Vecchi
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK
| | - Kuberan Pushparajah
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK
- Department of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK
| | - Pablo Lamata
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK.
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Wang H, Wang X, Zhu M, Liang H, Feng J, Zhang N, Wang Y, Yu Y, Wang A. A clinical prediction model to estimate the risk for coarctation of the aorta: From fetal to newborn life. J Obstet Gynaecol Res 2022; 48:2304-2313. [PMID: 35754096 PMCID: PMC9544347 DOI: 10.1111/jog.15341] [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: 11/29/2021] [Revised: 03/22/2022] [Accepted: 06/13/2022] [Indexed: 01/28/2023]
Abstract
AIM A prenatal diagnosis of coarctation of the aorta (CoA) is challenging. This study aimed to develop a coarctation probability model incorporating prenatal cardiac sonographic markers to estimate the probability of an antenatal diagnosis of CoA. METHODS We reviewed 89 fetuses as an investigation cohort with prenatal suspicion for CoA and categorized them into three subgroups: severe CoA: symptomatic CoA and surgery within the first 3 months; mild CoA: surgery within 4 months to 1 year (29); and false-positive CoA: not requiring surgery (45). Logistic regression was used to create a multiparametric model, and a validation cohort of 86 fetuses with suspected CoA was used to validate the model. RESULTS The prediction model had an optimal criterion >0.25 (sensitivity of 97.7%; specificity of 59.1%), and the area under the receiver operator curve was 0.85. The parameters and their cut-off values were as follows: left common carotid artery to left subclavian artery distance/distal transverse arch (LCCA-LSCA)/DT Index >1.77 (sensitivity 62%, specificity 88%, 95% confidence interval [CI]: 0.6-0.8), and z-score of AAo peak Doppler > -1.7 (sensitivity 77%, specificity 56%, 95% CI: 0.6-0.8). The risk assessment demonstrated that fetuses with a model probability >60% should have inpatient observation for a high risk of CoA, whereas fetuses with a model probability <15% should not undergo clinical follow-up. CONCLUSION The probability model performs well in predicting CoA outcomes postnatally and can also improve the accuracy of risk assessment. The objectivity of its parameters may allow its implementation in multicenter studies of fetal cardiology.
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Affiliation(s)
- Hui‐Hui Wang
- Department of Echocardiography, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Xi‐Ming Wang
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Mei Zhu
- Department of Echocardiography, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Hao Liang
- Department of Echocardiography, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Juan Feng
- Department of Echocardiography, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Nan Zhang
- Department of Echocardiography, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Yue‐Mei Wang
- Department of EchocardiographyJinan Maternity and child care Hospital Affiliated to Shandong First Medical UniversityJinanShandongChina
| | - Yong‐Hui Yu
- Department of Neonatal Intensive Care Unit, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - An‐Biao Wang
- Department of Cardiovascular Surgery, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
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Wutthigate P, Simoneau J, Renaud C, Altit G. Early Echocardiography Predicts Intervention Need in Antenatal Suspicion of Coarctation of the Aorta. CJC PEDIATRIC AND CONGENITAL HEART DISEASE 2022; 1:167-173. [PMID: 37969934 PMCID: PMC10642135 DOI: 10.1016/j.cjcpc.2022.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/02/2022] [Indexed: 11/17/2023]
Abstract
Background Coarctation of the aorta (CoA) is challenging to diagnose in early postnatal life. We aimed to describe the resource utilization and predictors for the need of intervention in an antenatal suspicion of CoA. Methods A retrospective study of infants with an antenatal suspicion of CoA born at ≥37 weeks was performed. Those not requiring intervention (normal) were compared with those who required cardiac surgery (CoA). Strain was measured using speckle-tracking echocardiography. Results A total of 51 newborns were included; 40 (78%) were considered normal and 11 (22%) underwent intervention. Echocardiography occurred within the first day of life for both groups. Right ventricular (RV) predominance was present in the CoA group, as demonstrated by the left ventricular (LV) end-systolic eccentricity index (1.60 [0.28] vs 2.16 [0.45]; P < 0.001) and by a larger RV end-diastolic area (EDA) in apical 4-chamber (A4C) relative to LV-EDA-with a ratio of 1.56 [0.23] vs 1.02 [0.2]; P < 0.001. An RV/LV EDA ratio in A4C ≥1.3 had a high probability for CoA (area under the curve = 0.97). Newborns with CoA had a lower RV deformation (peak systolic strain rate: -0.98 [0.17] vs -0.83 [0.2]; P = 0.02). Intraclass correlation coefficient for the EDA ratio revealed a good inter-rater agreement (0.76; 95% confidence interval: 0.55-0.87). Analysis with rater #2 revealed that the EDA ratio ≥1.3 predicted 100% of CoA. Conclusions The majority of those with an antenatal suspicion of CoA did not require intervention but were high consumers of resources. Within the first day of life, the ventricular EDA ratio in A4C may help predicting those with true CoA requiring intervention.
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Affiliation(s)
- Punnanee Wutthigate
- Division of Neonatology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jessica Simoneau
- Department of Pediatrics, Montreal Children’s Hospital, McGill University Health Centre, Montreal, Québec, Canada
- Division of Neonatology, Montreal Children’s Hospital, McGill University Health Centre, Montreal, Québec, Canada
| | - Claudia Renaud
- Department of Pediatrics, Montreal Children’s Hospital, McGill University Health Centre, Montreal, Québec, Canada
- Division of Pediatric Cardiology, Montreal Children’s Hospital, McGill University Health Centre, Montreal, Québec, Canada
| | - Gabriel Altit
- Department of Pediatrics, Montreal Children’s Hospital, McGill University Health Centre, Montreal, Québec, Canada
- Division of Neonatology, Montreal Children’s Hospital, McGill University Health Centre, Montreal, Québec, Canada
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Outcome and Impact of Associated Left-Sided Cardiac Lesions in Coarctation of the Aorta Diagnosed During Fetal Life. Am J Cardiol 2022; 166:114-121. [PMID: 34952671 DOI: 10.1016/j.amjcard.2021.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/09/2021] [Accepted: 11/12/2021] [Indexed: 01/12/2023]
Abstract
Significant effort has been put into the optimization of the antenatal diagnosis of coarctation of the aorta (CoA). However, although left-sided cardiac lesions are known to cluster, the necessity to intervene postnatally for other left-sided cardiac lesions has not been reported in a cohort of fetuses with suspected CoA. We report a study of all 89 fetuses with antenatally suspected and postnatally confirmed diagnosis of CoA who underwent CoA repair as the primary procedure at a single tertiary congenital heart disease center over 10 years (January 1, 2010, to December 31, 2019). Almost 1 in 5 patients (18%) had to undergo surgery and/or transcatheter intervention on additional left-sided cardiac lesions (14%) and/or reintervention on the aortic arch (12%) during follow-up to median age of 2.85 years. Freedom from intervention at 5 years was 78% (95% confidence interval [CI] 67 to 88%) if reintervention on CoA was excluded, and 72% (95% CI 60 to 82%) if this was included. Five-year survival was 95% (95% CI 90 to 100%). Furthermore, 20% of affected infants had genetic (10%) and/or extracardiac (16%) abnormalities. Our study highlights the need for comprehensive antenatal counseling, including the prognosis of primary repair of CoA and the potential development of additional left-sided cardiac lesions, which may be difficult to diagnose prenatally even in expert hands or impossible to diagnose because of the physiology of the fetal circulation.
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Speckle-Tracking Global Longitudinal and Regional Strain Analysis in Neonates with Coarctation of Aorta: A Case-Control Study. J Clin Med 2021; 10:jcm10194579. [PMID: 34640597 PMCID: PMC8509133 DOI: 10.3390/jcm10194579] [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: 08/31/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 11/20/2022] Open
Abstract
Our objectives are to compare speckle-tracking peak global longitudinal (pGLS) and regional strain values in neonates with coarctation of aorta (CoA) and control groups. Echocardiographic parameters measured by speckle-tracking were studied in a retrospective single-center study. A comparison of pGLS and segmental deformation between neonates with CoA and control group was performed using a three-way mixed ANOVA model. There was a significant difference in the means of segmental strain values between CoA and control group at the apical (p = 0.018) and basal segments (p = 0.031) of the interventricular septum and at the apical segment (p = 0.026) of the left ventricle (LV). After correcting for multiple comparisons, the results had a tendency toward statistical significance (adjusted-p < 0.10). There was significant difference in the mean values of pGLS [F(1, 39) = 7.61, p = 0.009, adjusted p = 0.018] between the studied groups. The results of ROC analysis showed that a cut-off value of −16.60% for pGLS provided an estimated sensitivity of 92.31% (95% CI: [63.97, 99.81]) and 71.43% specificity (95% CI: [51.33, 86.78]) for the diagnosis of CoA in neonates (AUC = 0.794, 95% CI: [0.66, 0.93]). pGLS can be regarded as a feasible and reproducible parameter reflecting LV dysfunction in newborns with CoA when compared to newborns with a false-positive diagnosis.
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Maskatia SA, Kwiatkowski D, Bhombal S, Davis AS, McElhinney DB, Tacy TA, Algaze C, Blumenfeld Y, Quirin A, Punn R. A Fetal Risk Stratification Pathway for Neonatal Aortic Coarctation Reduces Medical Exposure. J Pediatr 2021; 237:102-108.e3. [PMID: 34181988 DOI: 10.1016/j.jpeds.2021.06.047] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 06/16/2021] [Accepted: 06/21/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To test the hypothesis that a fetal stratification pathway will effectively discriminate between infants at different levels of risk for surgical coarctation and reduce unnecessary medicalization. STUDY DESIGN We performed a pre-post nonrandomized study in which we prospectively assigned fetuses with prenatal concern for coarctation to 1 of 3 risk categories and implemented a clinical pathway for postnatal management. Postnatal clinical outcomes were compared with those in a historical control group that were not triaged based on the pathway. RESULTS The study cohort comprised 109 fetuses, including 57 treated along the fetal coarctation pathway and 52 historical controls. Among mild-risk fetuses, 3% underwent surgical coarctation repair (0% of those without additional heart defects), compared with 27% of moderate-risk and 63% of high-risk fetuses. The combined fetal aortic, mitral, and isthmus z-score best discriminated which infants underwent surgery (area under the curve = 0.78; 95% CI, 0.66-0.91). Compared with historical controls, infants triaged according to the fetal coarctation pathway had fewer delivery location changes (76% vs 55%; P = .025) and less umbilical venous catheter placement (74% vs 51%; P = .046). Trends toward shorter intensive care unit stay, hospital stay, and time to enteral feeding did not reach statistical significance. CONCLUSIONS A stratified risk-assignment pathway effectively identifies a group of fetuses with a low rate of surgical coarctation and reduces unnecessary medicalization in infants who do not undergo aortic surgery. Incorporation of novel measurements or imaging techniques may improve the specificity of high-risk criteria.
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Affiliation(s)
- Shiraz A Maskatia
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Fetal and Pregnancy Health Program, Stanford Children's Health, Stanford, CA.
| | - David Kwiatkowski
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Shazia Bhombal
- Division of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Fetal and Pregnancy Health Program, Stanford Children's Health, Stanford, CA
| | - Alexis S Davis
- Division of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Fetal and Pregnancy Health Program, Stanford Children's Health, Stanford, CA
| | - Doff B McElhinney
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA
| | - Theresa A Tacy
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Fetal and Pregnancy Health Program, Stanford Children's Health, Stanford, CA
| | - Claudia Algaze
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Yair Blumenfeld
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA; Fetal and Pregnancy Health Program, Stanford Children's Health, Stanford, CA
| | - Amy Quirin
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Fetal and Pregnancy Health Program, Stanford Children's Health, Stanford, CA
| | - Rajesh Punn
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Fetal and Pregnancy Health Program, Stanford Children's Health, Stanford, CA
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Lloyd DF, van Poppel MP, Pushparajah K, Vigneswaran TV, Zidere V, Steinweg J, van Amerom JF, Roberts TA, Schulz A, Charakida M, Miller O, Sharland G, Rutherford M, Hajnal JV, Simpson JM, Razavi R. Analysis of 3-Dimensional Arch Anatomy, Vascular Flow, and Postnatal Outcome in Cases of Suspected Coarctation of the Aorta Using Fetal Cardiac Magnetic Resonance Imaging. Circ Cardiovasc Imaging 2021; 14:e012411. [PMID: 34187165 PMCID: PMC8300852 DOI: 10.1161/circimaging.121.012411] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/14/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Identifying fetuses at risk of severe neonatal coarctation of the aorta (CoA) can be lifesaving but is notoriously challenging in clinical practice with a high rate of false positives. Novel fetal 3-dimensional and phase-contrast magnetic resonance imaging (MRI) offers an unprecedented means of assessing the human fetal cardiovascular system before birth. We performed detailed MRI assessment of fetal vascular morphology and flows in a cohort of fetuses with suspected CoA, correlated with the need for postnatal intervention. METHODS Women carrying a fetus with suspected CoA on echocardiography were referred for MRI assessment between 26 and 36 weeks of gestation, including high-resolution motion-corrected 3-dimensional volumes of the fetal heart and phase-contrast flow sequences gated with metric optimized gating. The relationship between aortic geometry and vascular flows was then analyzed and compared with postnatal outcome. RESULTS Seventy-two patients (51 with suspected fetal CoA and 21 healthy controls) underwent fetal MRI with motion-corrected 3-dimensional vascular reconstructions. Vascular flow measurements from phase-contrast sequences were available in 53 patients. In the CoA group, 25 of 51 (49%) required surgical repair of coarctation after birth; the remaining 26 of 51 (51%) were discharged without neonatal intervention. Reduced blood flow in the fetal ascending aorta and at the aortic isthmus was associated with increasing angulation (P=0.005) and proximal displacement (P=0.006) of the isthmus and was seen in both true positive and false positive cases. A multivariate logistic regression model including aortic flow and isthmal displacement explained 78% of the variation in outcome and correctly predicted the need for intervention in 93% of cases. CONCLUSIONS Reduced blood flow though the left heart is associated with important configurational changes at the aortic isthmus in fetal life, predisposing to CoA when the arterial duct closes after birth. Novel fetal MRI techniques may have a role in both understanding and accurately predicting severe neonatal CoA.
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Affiliation(s)
- David F.A. Lloyd
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Milou P.M. van Poppel
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Kuberan Pushparajah
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Trisha V. Vigneswaran
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Vita Zidere
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Johannes Steinweg
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Joshua F.P. van Amerom
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Thomas A. Roberts
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Alexander Schulz
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Marietta Charakida
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Owen Miller
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Gurleen Sharland
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Mary Rutherford
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - Joseph V. Hajnal
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
| | - John M. Simpson
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
| | - Reza Razavi
- School of Imaging Sciences and Biomedical Engineering, King’s College London, United Kingdom (D.F.A.L., M.P.M.v.P., K.P., J.S., J.F.P.v.A., T.R., A.S., M.R., J.H., R.R.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, United Kingdom (D.F.A.L., K.P., T.V.V., V.Z., M.C., O.M., G.S., J.M.S., R.R.)
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Weichert J, Weichert A. A "holistic" sonographic view on congenital heart disease: How automatic reconstruction using fetal intelligent navigation echocardiography eases unveiling of abnormal cardiac anatomy part II-Left heart anomalies. Echocardiography 2021; 38:777-789. [PMID: 33778977 DOI: 10.1111/echo.15037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 02/27/2021] [Accepted: 03/06/2021] [Indexed: 12/19/2022] Open
Abstract
Volume ultrasound has been shown to provide valid complementary information on fetal anatomy. Four-dimensional assessment (4D) of the fetal cardiovascular system using spatial-temporal image correlation (STIC) allows for detailed examination of a highly complex organ from the early second trimester onward. There is compelling evidence that this technique harbors quite a number of diagnostic opportunities, but manual navigation through STIC volume datasets is highly operator dependent. In fact, STIC is not incorporated yet into daily practice. Application of the novel fetal intelligent navigation echocardiography (FINE) considerably simplifies fetal cardiac volumetric examinations. This automatic technique applied on cardiac volume datasets reportedly has both high sensitivity and specificity for the detection of congenital heart defects (CHDs). Part I reviewed current data regarding detection rates of CHDs and illustrated the additional value of an automatic approach in delineating cardiac anatomy exemplified by congenital lesions of the right heart. In part II of this pictorial essay, we focused on left heart anomalies and aimed to tabulate recent findings on the quantification of normal and abnormal cardiac anatomy.
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Affiliation(s)
- Jan Weichert
- Division of Prenatal Medicine, Department of Gynecology and Obstetrics, University Hospital of Schleswig-Holstein, Luebeck, Germany.,Elbe Center of Prenatal Medicine and Human Genetics, Hamburg, Germany
| | - Alexander Weichert
- Department of Obstetrics, Charité-Universitätsmedizin Berlin - CCM, Berlin, Germany.,Prenatal Medicine Bergmannstrasse, Berlin, Germany
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