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Sodhi A, Brown NK, Robinson JD, Popescu AR, Markl M, Rigsby CK. Going with the flow: Implementing a 4D flow MRI program at a children's hospital. Pediatr Radiol 2024:10.1007/s00247-024-06093-2. [PMID: 39540925 DOI: 10.1007/s00247-024-06093-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 10/24/2024] [Accepted: 10/26/2024] [Indexed: 11/16/2024]
Abstract
Four-dimensional phase contrast MRI (4D flow) has emerged as a versatile imaging technique for comprehensive visualization and both qualitative and quantitative assessment of cardiovascular blood flow. 4D flow is a three-dimensional, time-resolved acquisition that is gated to the cardiac cycle. 4D flow provides cardiovascular velocity and flow assessment across the volume of acquisition and yields a multitude of advanced hemodynamic parameters that help to assess the impact of cardiovascular disease on flow and vice versa, guiding the clinical and surgical management of patients with congenital and acquired heart disease. In the past, lengthy scan acquisition and complex post-processing workflows hindered 4D flow adoption into routine clinical practice. Decreasing image acquisition times and improvements in post-processing techniques have made 4D flow a clinically useful tool. The purpose of this communication is to facilitate more widespread adoption of 4D flow by describing its clinical utility, technical acquisition, optimization, and post-processing in pediatric cardiovascular imaging at our center.
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Affiliation(s)
- Aparna Sodhi
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, USA.
| | - Nicholas K Brown
- Division of Cardiology, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Joshua D Robinson
- Division of Cardiology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Andrada R Popescu
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, McCormick School of Engineering, Evanston, IL, USA
| | - Cynthia K Rigsby
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Lollert A, Frey KS, Hoffmann C, Herbst M, König J, Schmeh I, Dette F, Staatz G. "Feed-and-wrap" technique versus deep sedation for neonatal magnetic resonance imaging: a retrospective comparative study. Eur Radiol 2024; 34:7104-7114. [PMID: 38713278 PMCID: PMC11519104 DOI: 10.1007/s00330-024-10777-6] [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: 12/06/2023] [Revised: 03/11/2024] [Accepted: 04/04/2024] [Indexed: 05/08/2024]
Abstract
OBJECTIVES Neonatal MRI is usually performed under deep sedation, which is challenging-especially in low-weight premature patients. In addition, long-term side effects, such as neurotoxicity, are of concern. An alternative to sedation is to induce natural sleep by feeding and immobilising the child, the "feed-and-wrap" technique (FWT). The objective of this study was to evaluate differences in image quality between neonates examined under sedation and by using the FWT during the first four months of life. MATERIALS AND METHODS We retrospectively assessed image quality (based on a 4-point semiquantitative scale) of all MRI examinations in neonates performed at our institution between July 2009 and August 2022. Differences in image quality between examinations under sedation versus FWT were evaluated. RESULTS We included 432 consecutive patients, 243 (56%) using sedation and 189 (44%) using the FWT. Corrected age and body weight (mean ± SD: 3.7 ± 1.1 versus 4.5 ± 1.3 kg, p < 0.001) were significantly lower in the FWT group. The overall success rate in the FWT group was 95%. Image quality was slightly lower when using the FWT (mean ± SD: 3.7 ± 0.43 versus 3.96 ± 0.11, p < 0.001). Multivariate analysis showed a higher risk of acquiring sequences with diagnostic limitations in the FWT group (p < 0.001), increasing with corrected age (p = 0.048). CONCLUSION The FWT is a highly successful method to perform MRI scans in term and preterm neonates. Overall image quality is only slightly lower than under sedation. Especially in immature low-weight preterm patients, the FWT is a reliable option to perform MRI studies without exposing the child to risks associated with sedation. CLINICAL RELEVANCE STATEMENT The "feed-and-wrap" technique enables high-quality MRI examinations in neonates, including low-weight premature patients. Deep sedation for diagnostic MRI procedures in this age group, which has the risk of short- and long-term complications, can often be avoided. KEY POINTS Deeply sedating neonates for MR examinations comes with risks. Image quality is only slightly lower when using the "feed-and-wrap" technique. The "feed-and-wrap" technique is feasible even in low-weight premature infants.
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Affiliation(s)
- André Lollert
- Department of Diagnostic and Interventional Radiology, Section of Pediatric Radiology, Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
| | - Kim Sophie Frey
- Department of Diagnostic and Interventional Radiology, Section of Pediatric Radiology, Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Christian Hoffmann
- Department of Diagnostic and Interventional Radiology, Section of Pediatric Radiology, Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Markus Herbst
- Institute of Medical Biostatistics, Epidemiology and Informatics, Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Jochem König
- Institute of Medical Biostatistics, Epidemiology and Informatics, Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Isabella Schmeh
- Department of Pediatrics and Adolescent Medicine, Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Frank Dette
- Department of Anaesthesiology, Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Gundula Staatz
- Department of Diagnostic and Interventional Radiology, Section of Pediatric Radiology, Medical Center of the Johannes Gutenberg-University, Mainz, Germany
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Sjöberg P, Lala T, Wittgren J, Jin N, Hedström E, Töger J. Image reconstruction impacts haemodynamic parameters derived from 4D flow magnetic resonance imaging with compressed sensing. EUROPEAN HEART JOURNAL. IMAGING METHODS AND PRACTICE 2024; 2:qyae137. [PMID: 39776817 PMCID: PMC11705387 DOI: 10.1093/ehjimp/qyae137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 12/08/2024] [Indexed: 01/11/2025]
Abstract
Aims 4D blood flow measurements by cardiac magnetic resonance imaging (CMR) can be used to simplify blood flow assessment. Compressed sensing (CS) can provide better flow measurements than conventional parallel imaging (PI), but clinical validation is needed. This study aimed to validate stroke volume (SV) measurements by 4D-CS in healthy volunteers and patients while also investigating the influence of the CS image reconstruction parameter λ on haemodynamic parameters. Methods and results Healthy participants (n = 9; 20-62 years) underwent CMR with 2D, 4D-CS, and 4D-PI flow. Patients (n = 30, 17 with congenital heart defect; 2-75 years) had 4D-CS added to their clinical examination. Impact of λ was assessed by reconstructing 4D-CS data for six different λ values. In healthy volunteers, 4D-CS and 4D-PI SV differed by 0.4 ± 6.5 mL [0.6 ± 9.1%; intraclass correlation coefficient (ICC) 0.98], and 4D-CS and 2D flow by 0.9 ± 7.0 mL (0.9 ± 10.6%; ICC 0.98). In patients, 4D-CS and 2D flow differed by -1.3 ± 6.0 mL (-7.2 ± 20%; ICC 0.97). SV was not dependent on λ in patients (P = 0.75) but an increase in λ by 0.001 led to increased differences between 4D-CS and 4D-PI of -0.4% (P = 0.0021) in healthy participants. There were significant differences for ventricular kinetic energy (systole: P < 0.0001; diastole: P < 0.0001) and haemodynamic forces (systole: P < 0.0001; diastole: P < 0.0001), where error increased with increasing λ values in both healthy participants and patients. Conclusion 4D flow CMR with CS can be used clinically to assess SV in paediatric and adult patients. Ventricular kinetic energy and haemodynamic forces are however sensitive to the change in reconstruction parameter λ, and it is therefore important to validate advanced blood flow measurements before comparing data between scanners and centres.
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Affiliation(s)
- Pia Sjöberg
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Lund 221 00, Sweden
- Department of Clinical Physiology, Skåne University Hospital, Lund 221 85, Sweden
| | - Tania Lala
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Lund 221 00, Sweden
- Biomedical Engineering, Lund University, Lund, Sweden
| | - Johan Wittgren
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Lund 221 00, Sweden
- Department of Clinical Physiology, Skåne University Hospital, Lund 221 85, Sweden
| | - Ning Jin
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Cleveland, OH, USA
| | - Erik Hedström
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Lund 221 00, Sweden
- Department of Clinical Physiology, Skåne University Hospital, Lund 221 85, Sweden
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
- Department of Radiology, Skåne University Hospital, Lund, Sweden
| | - Johannes Töger
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Lund 221 00, Sweden
- Department of Clinical Physiology, Skåne University Hospital, Lund 221 85, Sweden
- Biomedical Engineering, Lund University, Lund, Sweden
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Cao J, Yuan C, Zhang Y, Quan Y, Chang P, Yang J, Song Q, Miao Y. Observation of intracranial artery and venous sinus hemodynamics using compressed sensing-accelerated 4D flow MRI: performance at different acceleration factors. Front Neurosci 2024; 18:1438003. [PMID: 39119457 PMCID: PMC11306029 DOI: 10.3389/fnins.2024.1438003] [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: 05/24/2024] [Accepted: 07/11/2024] [Indexed: 08/10/2024] Open
Abstract
Objective To investigate the feasibility and performance of 4D flow MRI accelerated by compressed sensing (CS) for the hemodynamic quantification of intracranial artery and venous sinus. Materials and methods Forty healthy volunteers were prospectively recruited, and 20 volunteers underwent 4D flow MRI of cerebral artery, and the remaining volunteers underwent 4D flow MRI of venous sinus. A series of 4D flow MRI was acquired with different acceleration factors (AFs), including sensitivity encoding (SENSE, AF = 4) and CS (AF = CS4, CS6, CS8, and CS10) at a 3.0 T MRI scanner. The hemodynamic parameters, including flow rate, mean velocity, peak velocity, max axial wall shear stress (WSS), average axial WSS, max circumferential WSS, average circumferential WSS, and 3D WSS, were calculated at the internal carotid artery (ICA), transverse sinus (TS), straight sinus (SS), and superior sagittal sinus (SSS). Results Compared to the SENSE4 scan, for the left ICA C2, mean velocity measured by CS8 and CS10 groups, and 3D WSS measured by CS6, CS8, and CS10 groups were underestimated; for the right ICA C2, mean velocity measured by CS10 group, and 3D WSS measured by CS8 and CS10 groups were underestimated; for the right ICA C4, mean velocity measured by CS10 group, and 3D WSS measured by CS8 and CS10 groups were underestimated; and for the right ICA C7, mean velocity and 3D WSS measured by CS8 and CS10 groups, and average axial WSS measured by CS8 group were also underestimated (all p < 0.05). For the left TS, max axial WSS and 3D WSS measured by CS10 group were significantly underestimated (p = 0.032 and 0.003). Similarly, for SS, mean velocity, peak velocity, average axial WSS measured by the CS8 and CS10 groups, max axial WSS measured by CS6, CS8, and CS10 groups, and 3D WSS measured by CS10 group were significantly underestimated compared to the SENSE4 scan (p = 0.000-0.021). The hemodynamic parameters measured by CS4 group had only minimal bias and great limits of agreement compared to conventional 4D flow (SENSE4) in the ICA and every venous sinus (the max/min upper limit to low limit of the 95% limits of agreement = 11.4/0.03 to 0.004/-5.7, 14.4/0.05 to -0.03/-9.0, 12.6/0.04 to -0.03/-9.4, 16.8/0.04 to 0.6/-14.1; the max/min bias = 5.0/-1.2, 3.5/-1.4, 4.5/-1.1, 6.6/-4.0 for CS4, CS6, CS8, and CS10, respectively). Conclusion CS4 strikes a good balance in 4D flow between flow quantifications and scan time, which could be recommended for routine clinical use.
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Affiliation(s)
| | | | | | | | | | | | | | - Yanwei Miao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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5
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Zamani-Aliabadi SM, Qanadli SD, Fatehi-Feyzabad SH, Ghasemnezhad M, Ghaemi H, Azarine A, Mohammadzadeh A, Bitarafan-Rajabi A, Mortezaeian H, Rezaei-Kalantari K. Assessment of 4D flow MRI for quantification of left-to-right shunt in pediatric patients with ventricular septal defect: comparison with right heart catheterization. Front Cardiovasc Med 2024; 11:1399110. [PMID: 39105074 PMCID: PMC11298441 DOI: 10.3389/fcvm.2024.1399110] [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: 03/11/2024] [Accepted: 07/10/2024] [Indexed: 08/07/2024] Open
Abstract
Objectives The percentage of shunt fraction significantly impacts the management of patients with congenital shunts, influencing strategic choices such as surgical or interventional procedures. This study compared the estimated shunt fraction (the ratio of pulmonary-to-systemic flow, Qp/Qs) for quantifying the left-to-right shunt in children with ventricular septal defect (VSD) using heart catheterization, four-dimensional (4D) flow, and two-dimensional (2D) flow magnetic resonance imaging (MRI). The goal was to establish a non-invasive and reliable measurement ratio between pulmonary and systemic blood flow in these patients. Methods Between July 2022 and June 2023, patients scheduled to undergo invasive right heart catheterization were included in this study. MRI was performed one hour before the catheterization procedure. The correlation of shunt fraction was assessed between all methods after calculating the Qp/Qs ratio from 2D and 4D flow MRI and catheterization. Results A total of 24 patients (aged 3-15 years, eight females) were ultimately included in the study. The Qp/Qs ratios obtained from 4D flow had a robust correlation (correlation coefficient r = 0.962) compared to those obtained during catheterization. Cardiac catheterization recorded the mean shunt fraction at 1.499 ± 0.396, while 4D flow measured it at 1.403 ± 0.344, with no significant difference between the two techniques. Moreover, there was a reasonable correlation (r = 0.894) between 2D flow measurements of Qp/Qs and the results obtained from catheterization, with a mean shunt fraction of 1.326 ± 0.283. Conclusion 4D flow MRI has the potential to be a non-invasive method for accurately measuring the left-to-right shunt in children with VSD.
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Affiliation(s)
| | - Salah D. Qanadli
- Cardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Seyed Hasan Fatehi-Feyzabad
- Department of Radiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Ghasemnezhad
- Department of Pediatric Cardiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Ghaemi
- Department of Pediatric Cardiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Arshid Azarine
- Department of Radiology, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Université Paris-Saclay, Paris, France
| | - Ali Mohammadzadeh
- Department of Radiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Bitarafan-Rajabi
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hojjat Mortezaeian
- Department of Pediatric Cardiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Kiara Rezaei-Kalantari
- Department of Radiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
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Moscatelli S, Avesani M, Borrelli N, Sabatino J, Pergola V, Leo I, Montanaro C, Contini FV, Gaudieri G, Ielapi J, Motta R, Merrone MA, Di Salvo G. Complete Transposition of the Great Arteries in the Pediatric Field: A Multimodality Imaging Approach. CHILDREN (BASEL, SWITZERLAND) 2024; 11:626. [PMID: 38929206 PMCID: PMC11202141 DOI: 10.3390/children11060626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/07/2024] [Accepted: 05/17/2024] [Indexed: 06/28/2024]
Abstract
The complete transposition of the great arteries (C-TGA) is a congenital cardiac anomaly characterized by the reversal of the main arteries. Early detection and precise management are crucial for optimal outcomes. This review emphasizes the integral role of multimodal imaging, including fetal echocardiography, transthoracic echocardiography (TTE), cardiovascular magnetic resonance (CMR), and cardiac computed tomography (CCT) in the diagnosis, treatment planning, and long-term follow-up of C-TGA. Fetal echocardiography plays a pivotal role in prenatal detection, enabling early intervention strategies. Despite technological advances, the detection rate varies, highlighting the need for improved screening protocols. TTE remains the cornerstone for initial diagnosis, surgical preparation, and postoperative evaluation, providing essential information on cardiac anatomy, ventricular function, and the presence of associated defects. CMR and CCT offer additional value in C-TGA assessment. CMR, free from ionizing radiation, provides detailed anatomical and functional insights from fetal life into adulthood, becoming increasingly important in evaluating complex cardiac structures and post-surgical outcomes. CCT, with its high-resolution imaging, is indispensable in delineating coronary anatomy and vascular structures, particularly when CMR is contraindicated or inconclusive. This review advocates for a comprehensive imaging approach, integrating TTE, CMR, and CCT to enhance diagnostic accuracy, guide therapeutic interventions, and monitor postoperative conditions in C-TGA patients. Such a multimodal strategy is vital for advancing patient care and improving long-term prognoses in this complex congenital heart disease.
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Affiliation(s)
- Sara Moscatelli
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital, London WC1N 3JH, UK
- Institute of Cardiovascular Sciences, University College London, London WC1E 6BT, UK
- Paediatric Cardiology Department, Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London SW3 5NP, UK
| | - Martina Avesani
- Division of Paediatric Cardiology, Department of Women and Children’s Health, University Hospital of Padua, 35128 Padua, Italy
| | - Nunzia Borrelli
- Adult Congenital Heart Disease Unit, AO Dei Colli-Monaldi Hospital, 80131 Naples, Italy
| | - Jolanda Sabatino
- Experimental and Clinical Medicine Department, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy (I.L.)
| | - Valeria Pergola
- Dipartimento di Scienze Cardio-Toraco-Vascolari e Sanità Pubblica, University Hospital of Padua, 35128 Padua, Italy; (V.P.)
| | - Isabella Leo
- Experimental and Clinical Medicine Department, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy (I.L.)
| | - Claudia Montanaro
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton Hospital, Guy’s and St. Thomas’ NHS Foundation Trust, London SW3 5NP, UK
- CMR Unit, Cardiology Department, Royal Brompton and Harefield Hospitals, Guy’s and St. Thomas’ NHS Foundation Trust, London SW3 5NP, UK
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
| | - Francesca Valeria Contini
- Clinical Cardiology Unit, Department of Medical Sciences and Public Health, University Hospital of Cagliari, Strada Statale 554, Km 4.500, 09042 Monserrato, Italy
- Pediatric Cardiology and Congenital Heart Disease Unit, Brotzu Hospital, 09134 Cagliari, Italy
| | - Gabriella Gaudieri
- Adult Congenital Heart Disease Unit, AO Dei Colli-Monaldi Hospital, 80131 Naples, Italy
| | - Jessica Ielapi
- Experimental and Clinical Medicine Department, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy (I.L.)
| | - Raffaella Motta
- Dipartimento di Scienze Cardio-Toraco-Vascolari e Sanità Pubblica, University Hospital of Padua, 35128 Padua, Italy; (V.P.)
| | - Marco Alfonso Merrone
- Clinical Pathways and Epidemiology Unit, Bambino Gesù Children’s Hospital IRCCS, 00165 Rome, Italy
- Division of Cardiology and Cardio Lab, Department of Clinical Science and Translational Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Giovanni Di Salvo
- Division of Paediatric Cardiology, Department of Women and Children’s Health, University Hospital of Padua, 35128 Padua, Italy
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Leo I, Sabatino J, Avesani M, Moscatelli S, Bianco F, Borrelli N, De Sarro R, Leonardi B, Calcaterra G, Surkova E, Di Salvo G. Non-Invasive Imaging Assessment in Patients with Aortic Coarctation: A Contemporary Review. J Clin Med 2023; 13:28. [PMID: 38202035 PMCID: PMC10779918 DOI: 10.3390/jcm13010028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/08/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024] Open
Abstract
Coarctation of the aorta (CoA) is a congenital abnormality characterized by a narrowing of the aortic lumen, which can lead to significant morbidity and mortality if left untreated. Even after repair and despite significant advances in therapeutic management, these patients have overall reduced long-term survival due to the consequences of chronic afterload increase. Cardiovascular imaging is key from the first diagnosis to serial follow-up. In recent years, novel imaging techniques have emerged, increasing accessibility to advanced imaging modalities and enabling early and non-invasive identification of complications after repair. The aim of this paper is to provide a comprehensive review of the role of different imaging techniques in the evaluation and management of patients with native or repaired CoA, highlighting their unique strengths and limitations.
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Affiliation(s)
- Isabella Leo
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (I.L.)
- CMR Unit, Royal Brompton and Harefield Hospitals, London SW3 5NP, UK;
| | - Jolanda Sabatino
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (I.L.)
- Pediatric Cardiology Unit, Department of Woman’s and Child’s Health, University Hospital of Padova, 35128 Padova, Italy;
| | - Martina Avesani
- Pediatric Cardiology Unit, Department of Woman’s and Child’s Health, University Hospital of Padova, 35128 Padova, Italy;
| | - Sara Moscatelli
- Centre for Inherited Cardiovascular Disease, Great Ormond Street Hospital, London WC1N 3JH, UK;
- Institute of Cardiovascular Sciences, University College London, London WC1E 6BT, UK
| | - Francesco Bianco
- Cardiovascular Sciences Department, AOU “Ospedali Riuniti”, 60126 Ancona, Italy;
| | - Nunzia Borrelli
- Adult Congenital Heart Disease Unit, AO dei Colli, Monaldi Hospital, 80131 Naples, Italy
| | - Rosalba De Sarro
- Department of Experimental and Clinical Medicine, University of Messina, 98166 Messina, Italy;
| | - Benedetta Leonardi
- Department of Pediatric Cardiology, Cardiac Surgery and Heart Lung Transplantation, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy;
| | | | - Elena Surkova
- CMR Unit, Royal Brompton and Harefield Hospitals, London SW3 5NP, UK;
| | - Giovanni Di Salvo
- Pediatric Cardiology Unit, Department of Woman’s and Child’s Health, University Hospital of Padova, 35128 Padova, Italy;
- Paediatric Research Institute (IRP), Città Della Speranza, 35127 Padua, Italy
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8
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Häfner F, Kindt A, Strobl K, Förster K, Heydarian M, Gonzalez E, Schubert B, Kraus Y, Dalla Pozza R, Flemmer AW, Ertl-Wagner B, Dietrich O, Stoecklein S, Tello K, Hilgendorff A. MRI pulmonary artery flow detects lung vascular pathology in preterms with lung disease. Eur Respir J 2023; 62:2202445. [PMID: 37678954 PMCID: PMC10749508 DOI: 10.1183/13993003.02445-2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 07/24/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND Pulmonary vascular disease (PVD) affects the majority of preterm neonates with bronchopulmonary dysplasia (BPD) and significantly determines long-term mortality through undetected progression into pulmonary hypertension. Our objectives were to associate characteristics of pulmonary artery (PA) flow and cardiac function with BPD-associated PVD near term using advanced magnetic resonance imaging (MRI) for improved risk stratification. METHODS Preterms <32 weeks postmenstrual age (PMA) with/without BPD were clinically monitored including standard echocardiography and prospectively enrolled for 3 T MRI in spontaneous sleep near term (AIRR (Attention to Infants at Respiratory Risks) study). Semi-manual PA flow quantification (phase-contrast MRI; no BPD n=28, mild BPD n=35 and moderate/severe BPD n=25) was complemented by cardiac function assessment (cine MRI). RESULTS We identified abnormalities in PA flow and cardiac function, i.e. increased net forward volume right/left ratio, decreased mean relative area change and pathological right end-diastolic volume, to sensitively detect BPD-associated PVD while correcting for PMA (leave-one-out area under the curve 0.88, sensitivity 0.80 and specificity 0.81). We linked these changes to increased right ventricular (RV) afterload (RV-arterial coupling (p=0.02), PA mid-systolic notching (t2; p=0.015) and cardiac index (p=1.67×10-8)) and correlated echocardiographic findings. Identified in moderate/severe BPD, we successfully applied the PA flow model in heterogeneous mild BPD cases, demonstrating strong correlation of PVD probability with indicators of BPD severity, i.e. duration of mechanical ventilation (rs=0.63, p=2.20×10-4) and oxygen supplementation (rs=0.60, p=6.00×10-4). CONCLUSIONS Abnormalities in MRI PA flow and cardiac function exhibit significant, synergistic potential to detect BPD-associated PVD, advancing the possibilities of risk-adapted monitoring.
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Affiliation(s)
- Friederike Häfner
- Institute for Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
- Center for Comprehensive Developmental Care (CDeCLMU) at the interdisciplinary Social Pediatric Center (iSPZ Hauner), Haunersches Children's Hospital, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
- F. Häfner and A. Kindt contributed equally to this study
| | - Alida Kindt
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
- F. Häfner and A. Kindt contributed equally to this study
| | - Kathrin Strobl
- Center for Comprehensive Developmental Care (CDeCLMU) at the interdisciplinary Social Pediatric Center (iSPZ Hauner), Haunersches Children's Hospital, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Kai Förster
- Center for Comprehensive Developmental Care (CDeCLMU) at the interdisciplinary Social Pediatric Center (iSPZ Hauner), Haunersches Children's Hospital, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
- Division of Neonatology, University Children's Hospital Dr v. Hauner and Perinatal Center, University Hospital, Ludwig Maximilian University Munich, Munich Germany
| | - Motaharehsadat Heydarian
- Institute for Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Erika Gonzalez
- Institute for Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
- Center for Comprehensive Developmental Care (CDeCLMU) at the interdisciplinary Social Pediatric Center (iSPZ Hauner), Haunersches Children's Hospital, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Benjamin Schubert
- Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
| | - Yvonne Kraus
- Center for Comprehensive Developmental Care (CDeCLMU) at the interdisciplinary Social Pediatric Center (iSPZ Hauner), Haunersches Children's Hospital, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Robert Dalla Pozza
- Department of Pediatric Cardiology, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Andreas W Flemmer
- Division of Neonatology, University Children's Hospital Dr v. Hauner and Perinatal Center, University Hospital, Ludwig Maximilian University Munich, Munich Germany
| | - Birgit Ertl-Wagner
- Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada
| | - Olaf Dietrich
- Department of Radiology, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Sophia Stoecklein
- Department of Radiology, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Khodr Tello
- Department of Internal Medicine, Justus Liebig University Giessen, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany
| | - Anne Hilgendorff
- Institute for Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
- Center for Comprehensive Developmental Care (CDeCLMU) at the interdisciplinary Social Pediatric Center (iSPZ Hauner), Haunersches Children's Hospital, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
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9
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Bissell MM, Raimondi F, Ait Ali L, Allen BD, Barker AJ, Bolger A, Burris N, Carhäll CJ, Collins JD, Ebbers T, Francois CJ, Frydrychowicz A, Garg P, Geiger J, Ha H, Hennemuth A, Hope MD, Hsiao A, Johnson K, Kozerke S, Ma LE, Markl M, Martins D, Messina M, Oechtering TH, van Ooij P, Rigsby C, Rodriguez-Palomares J, Roest AAW, Roldán-Alzate A, Schnell S, Sotelo J, Stuber M, Syed AB, Töger J, van der Geest R, Westenberg J, Zhong L, Zhong Y, Wieben O, Dyverfeldt P. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J Cardiovasc Magn Reson 2023; 25:40. [PMID: 37474977 PMCID: PMC10357639 DOI: 10.1186/s12968-023-00942-z] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/30/2023] [Indexed: 07/22/2023] Open
Abstract
Hemodynamic assessment is an integral part of the diagnosis and management of cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging (4D Flow CMR) allows comprehensive and accurate assessment of flow in a single acquisition. This consensus paper is an update from the 2015 '4D Flow CMR Consensus Statement'. We elaborate on 4D Flow CMR sequence options and imaging considerations. The document aims to assist centers starting out with 4D Flow CMR of the heart and great vessels with advice on acquisition parameters, post-processing workflows and integration into clinical practice. Furthermore, we define minimum quality assurance and validation standards for clinical centers. We also address the challenges faced in quality assurance and validation in the research setting. We also include a checklist for recommended publication standards, specifically for 4D Flow CMR. Finally, we discuss the current limitations and the future of 4D Flow CMR. This updated consensus paper will further facilitate widespread adoption of 4D Flow CMR in the clinical workflow across the globe and aid consistently high-quality publication standards.
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Affiliation(s)
- Malenka M Bissell
- Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), LIGHT Laboratories, Clarendon Way, University of Leeds, Leeds, LS2 9NL, UK.
| | | | - Lamia Ait Ali
- Institute of Clinical Physiology CNR, Massa, Italy
- Foundation CNR Tuscany Region G. Monasterio, Massa, Italy
| | - Bradley D Allen
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alex J Barker
- Department of Radiology, Children's Hospital Colorado, University of Colorado Anschutz Medical Center, Aurora, USA
| | - Ann Bolger
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Nicholas Burris
- Department of Radiology, University of Michigan, Ann Arbor, USA
| | - Carl-Johan Carhäll
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Tino Ebbers
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea
| | - Anja Hennemuth
- Institute of Computer-Assisted Cardiovascular Medicine, Charité - Universitätsmedizin, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site, Berlin, Germany
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Albert Hsiao
- Department of Radiology, University of California, San Diego, CA, USA
| | - Kevin Johnson
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Liliana E Ma
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael Markl
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Duarte Martins
- Department of Pediatric Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - Marci Messina
- Department of Radiology, Northwestern Medicine, Chicago, IL, USA
| | - Thekla H Oechtering
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck and Universität Zu Lübeck, Lübeck, Germany
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Pim van Ooij
- Department of Radiology & Nuclear Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Movement Sciences, Amsterdam University Medical Centers, Location AMC, Amsterdam, The Netherlands
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cynthia Rigsby
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Jose Rodriguez-Palomares
- Department of Cardiology, Hospital Universitari Vall d´Hebron,Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red-CV, CIBER CV, Madrid, Spain
| | - Arno A W Roest
- Department of Pediatric Cardiology, Willem-Alexander's Children Hospital, Leiden University Medical Center and Center for Congenital Heart Defects Amsterdam-Leiden, Leiden, The Netherlands
| | | | - Susanne Schnell
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medical Physics, Institute of Physics, University of Greifswald, Greifswald, Germany
| | - Julio Sotelo
- School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile
- Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Santiago, Chile
| | - Matthias Stuber
- Département de Radiologie Médicale, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Ali B Syed
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Johannes Töger
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Rob van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jos Westenberg
- CardioVascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liang Zhong
- National Heart Centre Singapore, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Yumin Zhong
- Department of Radiology, School of Medicine, Shanghai Children's Medical Center Affiliated With Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Oliver Wieben
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Petter Dyverfeldt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
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