Impact of cardiovascular magnetic resonance in single ventricle physiology: a narrative review
Review Article

Impact of cardiovascular magnetic resonance in single ventricle physiology: a narrative review

Inga Voges1,2 ORCID logo, Dominik Daniel Gabbert1,2, Daniela Panakova1,2, Sylvia Krupickova3,4,5

1Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Kiel, Germany; 2DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Greifswald/Kiel/Lübeck, Kiel, Germany; 3Department of Pediatric Cardiology, Royal Brompton Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, UK; 4National Heart and Lung Institute, Imperial College, London, UK; 5CMR Unit, Royal Brompton Hospital, London, UK

Contributions: (I) Conception and design: I Voges; (II) Administrative support: DD Gabbert, D Panakova, S Krupickova; (III) Provision of study materials or patients: I Voges, DD Gabbert; (IV) Collection and assembly of data: I Voges, DD Gabbert, S Krupickova; (V) Data analysis and interpretation: I Voges, DD Gabbert, S Krupickova; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Inga Voges, MD, MHBA. Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Arnold-Heller-Str. 3, 24105 Kiel, Germany. Email: inga.voges@uksh.de.

Background and Objective: Cardiovascular magnetic resonance (CMR) is a routine cross-sectional imaging modality in adults with congenital heart disease. Developing CMR techniques and the knowledge that CMR is well suited to assess long-term complications and to provide prognostic information for single ventricle (SV) patients makes CMR the ideal assessment tool for this patient cohort. Nevertheless, many of the techniques have not yet been incorporated into day-to-day practice. The aim of this review is to provide a comprehensive overview of CMR applications in SV patients together with recent scientific findings.

Methods: Articles from 2009 to August 2024 retrieved from PubMed on CMR in SV patients were included. Case reports and non-English literature were excluded.

Key Content and Findings: CMR is essential for serial follow-up of SV patients and CMR-derived standard markers can improve patient management and prognosis assessment. Advanced CMR techniques likely will enhance our understanding of Fontan hemodynamics and are promising tools for a comprehensive patient evaluation and care.

Conclusions: There is increasing research that shows the advantages of CMR in Fontan patients. However, further research about the prognostic role of CMR in older Fontan patients and how new methods such as modeling and deep learning pipelines can be clinically implemented is warranted.

Keywords: Congenital heart disease; single ventricle (SV); Fontan circulation; cardiovascular magnetic resonance (CMR)


Submitted Aug 17, 2024. Accepted for publication Nov 08, 2024. Published online Dec 19, 2024.

doi: 10.21037/cdt-24-409


Introduction

Background

Cardiovascular magnetic resonance (CMR) is an essential part of the surveillance algorithm in adults with a Fontan circulation (1,2). The CMR portfolio is increasing steadily and allows to accurately assess function, volumes and tissue characteristics of the single ventricle (SV), to evaluate the anatomy of the underlying congenital heart defect (CHD) as well as to investigate Fontan connections and hemodynamic variables.

Rationale and knowledge gap

Patients can be easily monitored over time with the use of CMR and an increasing number of studies demonstrate that CMR is able to improve long-term assessment and prognostication in Fontan patients (3-7). Modern machine learning and modelling techniques are expanding the field and it is expected that CMR acquisition and analysis will not only become faster (8-10), but that these techniques will also allow to ameliorate management and risk stratification in Fontan patients as first studies already suggest (11,12). However, not only the heart and the Fontan connections can be assessed, CMR is also more and more used to improve treatment and understanding of Fontan associated complications such as plastic bronchitis (PB) and protein losing enteropathy (PLE) with lymphatic angiography seems to become an integral part of the CMR protocol (13,14). Catheter CMR is another promising approach but so far, it is only used in few centres worldwide (15-17). Although the usefulness of CMR in SV patients is undoubted, there are a variety of techniques that have not yet been fully incorporated into routine clinical practice and their impact has not yet been fully explored.

Objective

In this review, an overview of the newest state of knowledge about how to use CMR and what we can expect from it now and in future in the growing group of patients with a Fontan circulation. We present this article in accordance with the Narrative Review reporting checklist (available at https://cdt.amegroups.com/article/view/10.21037/cdt-24-409/rc).


Methods

For this narrative review, a literature search on PubMed covering the period from 2009 to August 2024 was performed. The search strategy including the search terms is shown in Table 1.

Table 1

The search strategy summary

Items Specification
Date of search 01/05/2024 to 01/08/2024
Databases and other sources searched PubMed
Search terms used Single ventricle and Fontan circulation in combination with
   · Cardiovascular magnetic resonance
   · Magnetic resonance imaging
   · Lymphangiography
   · Fibrosis
   · Myocardial fibrosis
   · Prognosis
   · Computational fluid dynamics
   · Modeling
   · Ventricular function
   · Anatomy
   · 4D Flow
Timeframe 2009–2024
Inclusion and exclusion criteria Inclusion criteria: original articles, reviews, and expert consensus; articles in English
Exclusion criteria: case reports and articles not in English or not translated into English
Selection process The selection process was conducted independently by the authors, who reached a consensus in a final meeting

CMR in SV patients—standard and novel techniques

Assessment of anatomy

Standard and advanced protocols for SV evaluation together with explanation of all sequences and addressing numerous challenges has been recently published and serves as a guide for every physician who performs CMR scans in patients with Fontan circulation (2). Cross-sectional imaging with CMR is an ideal modality for assessing complex anatomy of Fontan patients. Dark-blood and bright-blood single shot imaging, cine imaging, 3D whole heart steady state free precession or contrast enhanced angiography are used to assess anatomy and patency of the Fontan pathways and intracardiac morphology and connections (Figures 1,2). Thrombus, an important complication, can be seen using early gadolinium enhancement sequence (2,18). Ventricular morphology can be identified by assessing the typical morphological features of the left and right ventricles (19). This is of importance as a morphologically right ventricle is associated with a worse outcome as shown by cohort and CMR studies (20,21).

Figure 1 Female with double outlet right ventricle, hypoplastic left ventricle, large ventricular septal defect (C, red asterisk) and left persistent superior vena cava. (E,F) She has a right-sided upper cavopulmonary connection (green arrows) and a left-sided Glenn anastomosis (red arrows). Fontan completion was established with creation of an intraatrial lateral tunnel (A, black asterisk). CMR cine imaging is able to delineate the detailed anatomy (A-F) and to assess blood flow dynamics (G). RV, right ventricle; LV, left ventricle; CMR, cardiovascular magnetic resonance.
Figure 2 Non-contrast angiographic images acquired with 3D modified Dixon sequence in a patient with hypoplastic left heart syndrome. Multiplanar and 3D reconstruction shows the neo-aorta and descending thoracic aorta (A-C) as well as the total cavopulmonary connection (D-F).

Assessment of SV hemodynamics and ventricular function

CMR is the gold standard for volumetric analysis of Fontan ventricles with broad morphological range. As standard, Simpson disk summation method is used for calculation of the volumes from the short axis cine stack (Figure 3) (2). CMR reference values for volumes and right ventricular mass are available for patients with hypoplastic left heart syndrome until the age of 25 years (22). Indexed right ventricular volumes significantly increase over time already during childhood whereas ejection fraction does not decrease as much (7). A rapid increase in indexed end-diastolic volumes has been associated with adverse outcomes (21). Therefore, serial volumetric assessment is important and might be of greater value than measurement of ejection fraction (7). Volumes and mass of the SV can be applied for calculation of ventricular global function index which was found to be a very useful prognostic clinical marker associated with Fontan failure and exercise capacity (23).

Figure 3 Young male adult with systemic right ventricular dysfunction. CMR Cine imaging shows a severely dilated and hypertrophied right ventricle (A,B). Ventricular volumetry from short axis images demonstrated an RV ejection fraction of only 20% (C,D). CMR, cardiovascular magnetic resonance; RV, right ventricle; RVEDVi, right ventricular end-diastolic volume index; RVESVi, right ventricular end-systolic volume index; RVSVi, right ventricular stroke volume index; RVMMi, right ventricular mass index; RVEF, right ventricular ejection fraction.

Besides the standard measurements, advanced parameters have been explored which can serve as preclinical markers of deterioration or markers of Fontan failure. Postprocessing analysis of myocardial deformation is performed using feature tracking software. Myocardial deformation indices are impaired in single left ventricles when compared to healthy controls (24). There is also a difference between left and right SVs with single left ventricles demonstrating higher global circumferential strain and lower global longitudinal strain than right ventricles (25). Importantly, myocardial strain of SVs correlates with clinical markers and NT-pro-BNP (25). Atrial strain assessed with CMR is also associated with adverse clinical outcome and cardiac catheterisation measures such as cardiac index and end-diastolic pressure (26).

Aortopulmonary collaterals have been found to be present in all patients with SV physiology before and after Fontan completion, however their amount spontaneously decreases once the Fontan circuit is established. Clinical relevance of the degree of collateralisation in Fontan patients is not entirely clear, however, CMR allows accurate measurement of the flows using numerous 2D flow acquisitions. Currently recommended and validated preferred single 4D Flow sequence enables faster acquisition with very good agreement between 2D and 4D Flow measurements (27,28). Interestingly, it has been found that indexed aortic and cavopulmonary flows are decreasing whereas ejection fraction does not decline significantly over period of 10 years (29).

CMR volumetric and functional parameters correlate with exercise capacity in Fontan patients. Cardiac index is inversely associated with a decrease in peak VO2 over time. Cut-off values of indexed end-diastolic volume of >101 mL/m2 and indexed end-systolic volume >47 mL/m2 are associated with impaired cardiopulmonary capacity (4). Stress CMR connects assessment of the functional status with comprehensive CMR data and can be performed with physical exercise or with continuous dobutamine infusion. Hypoplastic left heart patients post Fontan completion fail to increase cardiac index at high doses of continuous dobutamine even when inhaled nitric oxide is added. This is caused by limited preload with falling end-diastolic volumes during exercise confirming the known fact that the pulmonary perfusion is the limited factor of the Fontan circuit rather than SV myocardium (30,31). Another study using stress CMR with ergometer has shown that ventriculoarterial coupling is impaired in Fontan patients at rest and although it improves during exercise, it remains impaired when compared to healthy controls (32). Moreover, patients with a morphological right ventricle have worse response during exercise than those with single left ventricle (33).

4D Flow has been extensively used for routine clinical examinations and for research purposes. Kinetic energy, energy loss and energy loss index (calculated as energy loss divided by kinetic energy) correlate with reduced exercise capacity and are superior to ejection fraction and cardiac index (34,35). Vortical flow is associated with significantly increased viscous energy loss in Fontan patients and the confluence and left pulmonary artery are mainly affected (36). Patients with hypoplastic left heart syndrome after Fontan completion were found to have neo-aortic arch with abnormal twist and helical flow patterns when compared to healthy controls and the maximum twist correlates with increased right ventricle myocardial mass (Figure 4) (37).

Figure 4 Male with hypoplastic left heart syndrome and a caliber jump in the aortic arch (A,B). The descending thoracic aorta is dilated (B,C) likely related to an increased helical flow in the descending thoracic aorta that develops in the aortic arch (D,E).

Myocardial fibrosis

Myocardial tissue characterisation is a key strength of CMR and enables the detection and quantification of replacement and interstitial myocardial fibrosis (38-41). Late gadolinium enhancement (LGE) imaging (replacement fibrosis) and T1 mapping allow the calculation of extracellular volume fraction (interstitial fibrosis) and are the most common CMR techniques that are used for fibrosis assessment (38-41). New developments include magnetic resonance fingerprinting (42) and synthetic LGE images that are created from T1 mapping images (43,44) have shown clinical potential in non-congenital cardiac disease but have not yet been applied to Fontan patients.

In the clinical context myocardial fibrosis is associated with ventricular dysfunction, arrhythmias and sudden cardiac death in patient with various CHD (45-47). Studies have also shown that the detection of myocardial fibrosis can help in risk prediction in SV patients (Figure 5). Rathod et al. (48) found that LGE was common in Fontan patients and that those that were LGE positive, had a lower mean ejection fraction, increased SV end-diastolic volume and mass as well as higher frequencies of regional wall motion abnormalities and non-sustained ventricular tachycardia. More recent studies used T1 mapping (Figure 5) and could show that SV patients have increased myocardial T1 values and extracellular volume fraction that are associated with decreased myocardial contractility and worse clinical outcome (49-51). Potential reasons for the occurrence of fibrosis in SV patients have not been well explored, a recent study on patients with hypoplastic left heart syndrome suggests an impaired coronary microcirculation of the systemic right ventricle and could demonstrate that the frequency of LGE increased over time (52). However, further studies are required to better understand the clinical utility of CMR fibrosis imaging and in SV patients.

Figure 5 Male with hypoplastic left heart syndrome in Fontan circulation who underwent Norwood operation with Sano modification. There is replacement fibrosis in the right ventricular free wall detected on late enhancement images in the area of the previous Sano shunt (A, green arrow). High T1 values (~2,500 ms at 3 Tesla) are detected by native T1 mapping in the same area (B,C, green arrows).

Magnetic resonance lymphangiography (MRL)

Increased lymph production and impaired lymphatic drainage are both related to the elevated systemic venous pressures in Fontan patients and can cause serious lymphatic complications such as PLE, PB, ascites and pleural effusion (53,54). PLE and PB are severe diseases that are associated with poor prognosis (55,56). MRL with non-contrast T2-weighted techniques is a developing method that has been more recently recommended for the routine assessment of Fontan patients (1) (Figure 6). This method cannot only help to better understand the lymphatic anatomy and types of lymphatic changes in Fontan patients, but it is essential in the developing area of lymphatic interventions (13,57). Dynamic contrast-enhanced MRL provides dynamic information about the central lymphatic system and is performed with T1-weighted imaging after application of gadolinium-based contrast agent via a groin lymph node (58). This dynamic technique is especially helpful for treatment planning of lymphatic complications (59,60) and further developments of the method suggest that intrahepatic or intramesenteric contrast application may have advantages in patients with PLE (61,62).

Figure 6 Adult female with protein losing enteropathy in Fontan circulation. High T2-weighted imaging (A,B) shows a dilated thoracic duct measuring 4 mm (A, yellow arrows) and abnormal lymphatic tissue bilaterally in the supraclavicular region (green arrowheads) extending into the lungs (orange arrowheads). Improved visualization of the thoracic duct (red arrows) can be reached with 3D steady state free precession sequence (C-E). The thoracic duct can be followed throughout its entire course in the upper chest with no obvious stenosis seen (D,E). The patient was treated with sildenafil and heart failure medication including diuretics.

Static T2-weighted imaging is useful to evaluate the anatomy of the thoracic duct and the lymphatic changes in SV patients before and after Fontan completion (13,61). Static T2-weighted MRL can be accompanied by a 3D balanced steady stated free precession sequence to improve the visibility of the thoracic duct (63) (Figure 6).

Prognostic role of CMR in SV patients

An increasing number of SV patients with a Fontan circulation grew up and reach adulthood. However, morbidity and mortality are high with single right ventricular patients having a worse clinical outcome (20,64,65). CMR allows a comprehensive investigation of Fontan connections, ventricular function and hemodynamics and a paucity of studies have shown that it can help in risk stratification and prognosis assessment.

CMR-derived systemic ventricular volumes are related to worth outcome and an indexed end-diastolic SV volume >125 mL/m2 has been shown to be an independent predictor for death or transplant late after the Fontan completion (3). In a study analysing serial CMR studies, the same group could show that Fontan patients with rapid increase in (>5 mL/body surface area1.3/year) may have a higher risk of adverse outcomes (21). In patients with a biventricular Fontan circulation stroke volume ratio was associated with worse outcome parameters (66).

Flow assessment either using 2D or 4D phase contrast mapping can help to understand the Fontan hemodynamics and several flow parameters have been related to Fontan outcomes. Especially the degree of collateral has been shown to be disadvantageous and can lead to SV volume overload (67,68).

CMR feature tracking is attracting many CMR users as strain parameters can be relatively easily derived from anyway acquired CMR cine images and recent data suggests that they can help in prognostication (Figure 7). Some studies suggested that strain measured might detect SV dysfunction earlier than the measurement of ejection fraction (6,69,70). In addition, global strain measures and feature tracking-derived dyssynchrony metrics and torsion have also been related to adverse outcome death or need for heart transplantation (5,25,72-74) and subclinical dysfunction (71).

Figure 7 CMR feature tracking has been shown to help in early detection of ventricular dysfunction (6,69-71) and in the assessment of prognosis and risk factors (5,25,72-74) in patients with a single ventricle. Example curves for global endocardial circumferential and longitudinal strain are demonstrated. CMR, cardiovascular magnetic resonance; EndoGCS, endocardial global circumferential strain; EndoGLS, endocardial global longitudinal strain.

Similar to ventricular function parameters, atrial function can be assessed using volumetry and feature tracking. Few studies indicate that atrial function markers might be helpful for risk prediction, however, further research is needed (26,75).

With the increasing knowledge about Fontan associated lymphatic disorders and ability for interventional treatment, CMR lymphatic imaging is gaining importance. However, there is also expanding evidence that lymphatic imaging might improve prognosis evaluation in Fontan patients. Kelly et al. showed that lymphatic abnormalities can progress over time and in their study progression to a high-grade classification was associated with worse postoperative outcomes (14). Other works demonstrated that the degree of lymphatic burden was related with the clinical status, higher liver enzymes and the presence of lymphatic disorders (76-78).

Fontan associated liver disease is a serious complication of the Fontan circulation and common in adult Fontan patients (53). Reasons are not fully understood yet and are likely multifactorial. Recently it became more obvious that small tunnel connections can play an important role (79). CMR studies showed that a smaller cross-sectional area of the inferior vena cava was associated with markers of Fontan associated liver disease (80). 4D Flow can be of use to assess this further (Figure 8). Rijnberg et al. showed that kinetic energy and energy loss in the total cavopulmonary connection derived from 4D Flow was associated with increased levels of liver fibrosis and congestion (34).

Figure 8 Total cavopulmonary connections with an intraatrial lateral tunnel (A) and a 16 mm extracardiac conduit (B). 4D Flow derived pathlines with colour coding show lower velocity in the intraatrial lateral tunnel (A) compared to the extracardiac conduit (B).

Finally, stress CMR parameters, particularly functional reserve, may be useful for outcome evaluation (81).

Advanced methods—computational-fluid dynamics (CFD)and deep learning

Challenges in long-term outcomes of the patients with SV physiology have motivated the development of hemodynamic models to which CMR can make important contributions by providing data on anatomy, flow boundaries and vascular properties. However, clinical applications are rare and remain largely unexplored. Several approaches exist for modelling hemodynamics of the Fontan circulation. The most comprehensive approach is the detailed 3D CFD simulation which models details of fluid-dynamics such as power loss and blood flow distributions in order to identify adverse hemodynamic conditions (82-85). The demands of CFD simulations in terms of personnel, technical expertise, computational resources and time expense has hampered the use of patient-specific computational hemodynamics modelling in the routine clinical practise. Several approaches exist based on one- or zero-dimensional ordinary differential equation (ODE) methods as well as lean CFD pipelines that address the problem of time expense (86,87). Zero-dimensional ODE models, often referred to lumped parameter models, contain no space variable and represent a whole circulatory system or a component with its hydraulic impedance (88-90). One-dimensional ODE models simulate directional flow conditions and were used to simulate flow and pulse wave propagation throughout the Fontan circulation (91). Closed-loop models cover the entire Fontan circulation and can combine one-dimensional equations for modelling flow in the large vessels including total cavopulmonary connection (TCPC) with zero-dimensional equations for modelling flow in heart and organs (86,91). In the long-term management of Fontan patients, models with one- or zero-dimensional equations have been applied to predict or prevent adverse outcomes. In order to minimise abdominal complications, the cardiovascular changes induced by creation of a fenestration or hepatic vein exclusion were studied using a closed loop model (91). The impact of atrial fibrillation in the late phase of Fontan was studied using a lumped parameter model (89). In another study using a patient-specific lumped parameter model, the pressure drop in the liver was predicted as a potential parameter for liver health (90). A combined one- and zero-dimensional ODE approach was recently calibrated and validated based on CMR and catheterization data (86). The new model and calibration methodology are freely available and may be adapted to patient-specific boundaries for future prognostic models in adult patients. In addition to one- or zero-dimensional ODE models, the deep-learning based prediction of hemodynamics may be another time-saving approach applicable to SV patients in the future (92). To date, patient-specific computational modelling in univentricular patients has been used mainly for research purposes and has not become an integral part of clinical routine, although potentials have been indicated in several studies (89-91,93,94).


Strengths and limitations

This narrative review provides an overview of recent CMR research in SV patients and gives information about the general use of CMR in Fontan patients. Besides this, gaps in knowledge and limitations of advanced techniques such as that some of them are not implemented into the clinical workflow are described. But the review is not without limitations. First, the field of CMR is evolving constantly and there might be new findings that are not included in this article. Furthermore, the structure and focus of the review might be influenced by subjective factors. Nevertheless, effort has been made to give a comprehensive overview of recent research and developments.


Conclusions

CMR is an essential imaging modality in Fontan patients and is able to provide a detailed overview of the cardiovascular anatomy, function and hemodynamic situation. In addition, increasing knowledge is available about the benefit of magnetic resonance imaging to assess fibrotic changes of the myocardium and to evaluate the lymphatic system. Recent research also focuses on the prognostic role of CMR in Fontan patients and shows that this modality is allowing us to better monitor these complex patients. The increasing portfolio of CMR methods is accompanied by advancements in informatics and fluid mechanics that will likely improve the assessment of Fontan patients and patient cohorts.


Acknowledgments

Funding: None.


Footnote

Provenance and Peer Review: This article was commissioned by the Guest Editor (Harald Kaemmerer) for the series “Current Management Aspects of Adult Congenital Heart Disease (ACHD): Part VI” published in Cardiovascular Diagnosis and Therapy. The article has undergone external peer review.

Reporting Checklist: The authors have completed the Narrative Review reporting checklist. Available at https://cdt.amegroups.com/article/view/10.21037/cdt-24-409/rc

Peer Review File: Available at https://cdt.amegroups.com/article/view/10.21037/cdt-24-409/prf

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://cdt.amegroups.com/article/view/10.21037/cdt-24-409/coif). The series “Current Management Aspects of Adult Congenital Heart Disease (ACHD): Part VI” was commissioned by the editorial office without any funding or sponsorship. I.V. serves as an unpaid editorial board member of Cardiovascular Diagnosis and Therapy from February 2024 to January 2026. The authors have no other conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Rychik J, Atz AM, Celermajer DS, et al. Evaluation and Management of the Child and Adult With Fontan Circulation: A Scientific Statement From the American Heart Association. Circulation 2019;140:e234-84. [Crossref] [PubMed]
  2. Puricelli F, Voges I, Gatehouse P, et al. Performance of Cardiac MRI in Pediatric and Adult Patients with Fontan Circulation. Radiol Cardiothorac Imaging 2022;4:e210235. [Crossref] [PubMed]
  3. Rathod RH, Prakash A, Kim YY, et al. Cardiac magnetic resonance parameters predict transplantation-free survival in patients with fontan circulation. Circ Cardiovasc Imaging 2014;7:502-9. [Crossref] [PubMed]
  4. Bredy C, Werner O, Helena H, et al. Cardiac magnetic resonance ventricular parameters correlate with cardiopulmonary fitness in patients with functional single ventricle. Int J Cardiovasc Imaging 2024;40:1041-8. [Crossref] [PubMed]
  5. Gearhart A, Bassi S, Rathod RH, et al. Ventricular dyssynchrony late after the Fontan operation is associated with decreased survival. J Cardiovasc Magn Reson 2023;25:66. [Crossref] [PubMed]
  6. Kanngiesser LM, Freitag-Wolf S, Boroni Grazioli S, et al. Serial Assessment of Right Ventricular Deformation in Patients With Hypoplastic Left Heart Syndrome: A Cardiovascular Magnetic Resonance Feature Tracking Study. J Am Heart Assoc 2022;11:e025332. [Crossref] [PubMed]
  7. Sobh M, Freitag-Wolf S, Scheewe J, et al. Serial right ventricular assessment in patients with hypoplastic left heart syndrome: a multiparametric cardiovascular magnetic resonance study. Eur J Cardiothorac Surg 2021;61:36-42. [Crossref] [PubMed]
  8. Yao T, St Clair N, Miller GF, et al. A Deep Learning Pipeline for Assessing Ventricular Volumes from a Cardiac MRI Registry of Patients with Single Ventricle Physiology. Radiol Artif Intell 2024;6:e230132. [Crossref] [PubMed]
  9. Bossers SS, Cibis M, Gijsen FJ, et al. Computational fluid dynamics in Fontan patients to evaluate power loss during simulated exercise. Heart 2014;100:696-701. [Crossref] [PubMed]
  10. Gabbert DD, Petersen L, Burleigh A, et al. Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning. MAGMA 2024;37:115-25. [Crossref] [PubMed]
  11. Gearhart A, Bassi S, Rathod RH, et al. Identifying high-risk Fontan phenotypes using K-means clustering of cardiac magnetic resonance-based dyssynchrony metrics. J Cardiovasc Magn Reson 2024;26:101060. [Crossref] [PubMed]
  12. GovindarajanVMarshallLSahniAImpact of Age-related change in Caval Flow Ratio on Hepatic Flow Distribution in Fontan. Preprint. medRxiv. 2023;2023.09.06.23295166. 10.1101/2023.09.06.23295166
  13. Biko DM, DeWitt AG, Pinto EM, et al. MRI Evaluation of Lymphatic Abnormalities in the Neck and Thorax after Fontan Surgery: Relationship with Outcome. Radiology 2019;291:774-80. [Crossref] [PubMed]
  14. Kelly B, Mohanakumar S, Ford B, et al. Sequential MRI Evaluation of Lymphatic Abnormalities over the Course of Fontan Completion. Radiol Cardiothorac Imaging 2024;6:e230315. [Crossref] [PubMed]
  15. Ruijsink B, Zugaj K, Wong J, et al. Dobutamine stress testing in patients with Fontan circulation augmented by biomechanical modeling. PLoS One 2020;15:e0229015. [Crossref] [PubMed]
  16. Veeram Reddy SR, Arar Y, Zahr RA, et al. Invasive cardiovascular magnetic resonance (iCMR) for diagnostic right and left heart catheterization using an MR-conditional guidewire and passive visualization in congenital heart disease. J Cardiovasc Magn Reson 2020;22:20. [Crossref] [PubMed]
  17. Pushparajah K, Tzifa A, Bell A, et al. Cardiovascular magnetic resonance catheterization derived pulmonary vascular resistance and medium-term outcomes in congenital heart disease. J Cardiovasc Magn Reson 2015;17:28. [Crossref] [PubMed]
  18. Barkhausen J, Hunold P, Eggebrecht H, et al. Detection and characterization of intracardiac thrombi on MR imaging. AJR Am J Roentgenol 2002;179:1539-44. [Crossref] [PubMed]
  19. Renella P, Finn JP. Atrioventricular Connections and Ventricular Morphology. In: Syed MA, Mohiaddin RH, editors. Magnetic Resonance Imaging of Congenital Heart. Springer Cham; 2023:59-78.
  20. Dib N, Chaix MA, Samuel M, et al. Cardiovascular Outcomes in Fontan Patients With Right vs Left Univentricular Morphology: A Multicenter Study. JACC Adv 2024;3:100871. [Crossref] [PubMed]
  21. Ghelani SJ, Lu M, Sleeper LA, et al. Longitudinal changes in ventricular size and function are associated with death and transplantation late after the Fontan operation. J Cardiovasc Magn Reson 2022;24:56. [Crossref] [PubMed]
  22. Ballenberger A, Caliebe A, Krupickova S, et al. Cardiovascular magnetic resonance reference values of right ventricular volumetric variables in patients with hypoplastic left heart syndrome. J Cardiovasc Magn Reson 2024;26:101038. [Crossref] [PubMed]
  23. Alsaied T, Critser PJ, Azcue N, et al. CMR-Derived Ventricular Global Function Index in Patients Late After the Fontan Operation. JACC Cardiovasc Imaging 2020;13:2686-7. [Crossref] [PubMed]
  24. Strodka F, Logoteta J, Schuwerk R, et al. Myocardial deformation in patients with a single left ventricle using 2D cardiovascular magnetic resonance feature tracking: a case-control study. Int J Cardiovasc Imaging 2021;37:2549-59. [Crossref] [PubMed]
  25. Callegari A, Marcora S, Burkhardt B, et al. Myocardial Deformation in Fontan Patients Assessed by Cardiac Magnetic Resonance Feature Tracking: Correlation with Function, Clinical Course, and Biomarkers. Pediatr Cardiol 2021;42:1625-34. [Crossref] [PubMed]
  26. Critser PJ, Truong V, Powell AW, et al. Cardiac magnetic resonance derived atrial function in patients with a Fontan circulation. Int J Cardiovasc Imaging 2021;37:275-84. [Crossref] [PubMed]
  27. Bissell MM, Raimondi F, Ait Ali L, et al. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update. J Cardiovasc Magn Reson 2023;25:40. [Crossref] [PubMed]
  28. Listo E, Martini N, Salvadori S, et al. Comparison of 2D and 4D Flow MRI Measurements for Hemodynamic Evaluation of the Fontan Palliation. Congenit Heart Dis 2023;18:627-38. [Crossref]
  29. Arrigoni SC, Berger RMF, Ebels T, et al. Cardiac output drop reflects circulatory attrition after Fontan completion: serial cardiac magnetic resonance study. Eur Heart J Imaging Methods Pract 2023;1:qyad039.
  30. Pushparajah K, Wong JK, Bellsham-Revell HR, et al. Magnetic resonance imaging catheter stress haemodynamics post-Fontan in hypoplastic left heart syndrome. Eur Heart J Cardiovasc Imaging 2016;17:644-51. [Crossref] [PubMed]
  31. Wong J, Pushparajah K, de Vecchi A, et al. Pressure-volume loop-derived cardiac indices during dobutamine stress: a step towards understanding limitations in cardiac output in children with hypoplastic left heart syndrome. Int J Cardiol 2017;230:439-46. [Crossref] [PubMed]
  32. Godfrey ME, Rathod RH, Keenan E, et al. Inefficient Ventriculoarterial Coupling in Fontan Patients: A Cardiac Magnetic Resonance Study. Pediatr Cardiol 2018;39:763-73. [Crossref] [PubMed]
  33. Latus H, Hofmann L, Gummel K, et al. Exercise-dependent changes in ventricular-arterial coupling and aortopulmonary collateral flow in Fontan patients: a real-time CMR study. Eur Heart J Cardiovasc Imaging 2022;24:88-97. [Crossref] [PubMed]
  34. Rijnberg FM, Westenberg JJM, van Assen HC, et al. 4D flow cardiovascular magnetic resonance derived energetics in the Fontan circulation correlate with exercise capacity and CMR-derived liver fibrosis/congestion. J Cardiovasc Magn Reson 2022;24:21. [Crossref] [PubMed]
  35. Ait Ali L, Martini N, Listo E, et al. Impact of 4D-Flow CMR Parameters on Functional Evaluation of Fontan Circulation. Pediatr Cardiol 2024;45:998-1006. [Crossref] [PubMed]
  36. Rijnberg FM, Juffermans JF, Hazekamp MG, et al. Segmental assessment of blood flow efficiency in the total cavopulmonary connection using four-dimensional flow magnetic resonance imaging: vortical flow is associated with increased viscous energy loss rate. Eur Heart J Open 2021;1:oeab018. [Crossref] [PubMed]
  37. Gabbert DD, Trotz P, Kheradvar A, et al. Abnormal torsion and helical flow patterns of the neo-aorta in hypoplastic left heart syndrome assessed with 4D-flow MRI. Cardiovasc Diagn Ther 2021;11:1379-88. [Crossref] [PubMed]
  38. Bing R, Dweck MR. Myocardial fibrosis: why image, how to image and clinical implications. Heart 2019;105:1832-40. [Crossref] [PubMed]
  39. Gupta S, Ge Y, Singh A, et al. Multimodality Imaging Assessment of Myocardial Fibrosis. JACC Cardiovasc Imaging 2021;14:2457-69. [Crossref] [PubMed]
  40. Zhu L, Wang Y, Zhao S, et al. Detection of myocardial fibrosis: Where we stand. Front Cardiovasc Med 2022;9:926378. [Crossref] [PubMed]
  41. Gordon B, González-Fernández V, Dos-Subirà L. Myocardial fibrosis in congenital heart disease. Front Pediatr 2022;10:965204. [Crossref] [PubMed]
  42. Eck BL, Yim M, Hamilton JI, et al. Cardiac Magnetic Resonance Fingerprinting: Potential Clinical Applications. Curr Cardiol Rep 2023;25:119-31. [Crossref] [PubMed]
  43. Lee S, Kim P, Im DJ, et al. The image quality and diagnostic accuracy of T1-mapping-based synthetic late gadolinium enhancement imaging: comparison with conventional late gadolinium enhancement imaging in real-life clinical situation. J Cardiovasc Magn Reson 2022;24:28. [Crossref] [PubMed]
  44. Rashid I, Al-Kindi S, Rajagopalan V, et al. Synthetic multi-contrast late gadolinium enhancement imaging using post-contrast magnetic resonance fingerprinting. NMR Biomed 2024;37:e5043. [Crossref] [PubMed]
  45. Broberg CS, Valente AM, Huang J, et al. Myocardial fibrosis and its relation to adverse outcome in transposition of the great arteries with a systemic right ventricle. Int J Cardiol 2018;271:60-5. [Crossref] [PubMed]
  46. Ghonim S, Gatzoulis MA, Ernst S, et al. Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach. JACC Cardiovasc Imaging 2022;15:257-68. [Crossref] [PubMed]
  47. Rydman R, Gatzoulis MA, Ho SY, et al. Systemic right ventricular fibrosis detected by cardiovascular magnetic resonance is associated with clinical outcome, mainly new-onset atrial arrhythmia, in patients after atrial redirection surgery for transposition of the great arteries. Circ Cardiovasc Imaging 2015;8:e002628. [Crossref] [PubMed]
  48. Rathod RH, Prakash A, Powell AJ, et al. Myocardial fibrosis identified by cardiac magnetic resonance late gadolinium enhancement is associated with adverse ventricular mechanics and ventricular tachycardia late after Fontan operation. J Am Coll Cardiol 2010;55:1721-8. [Crossref] [PubMed]
  49. Pisesky A, Reichert MJE, de Lange C, et al. Adverse fibrosis remodeling and aortopulmonary collateral flow are associated with poor Fontan outcomes. J Cardiovasc Magn Reson 2021;23:134. [Crossref] [PubMed]
  50. Kato A, Riesenkampff E, Yim D, et al. Pediatric Fontan patients are at risk for myocardial fibrotic remodeling and dysfunction. Int J Cardiol 2017;240:172-7. [Crossref] [PubMed]
  51. Beigh MVR, Pajunen KBE, Pagano JJ, et al. T1 mapping of the myocardium and liver in the single ventricle population. Pediatr Radiol 2023;53:1092-9. [Crossref] [PubMed]
  52. Rickers C, Wegner P, Silberbach M, et al. Myocardial Perfusion in Hypoplastic Left Heart Syndrome. Circ Cardiovasc Imaging 2021;14:e012468. [Crossref] [PubMed]
  53. Alsaied T, Rathod RH, Aboulhosn JA, et al. Reaching consensus for unified medical language in Fontan care. ESC Heart Fail 2021;8:3894-905. [Crossref] [PubMed]
  54. Rychik J, Goldberg D, Rand E, et al. End-organ consequences of the Fontan operation: liver fibrosis, protein-losing enteropathy and plastic bronchitis. Cardiol Young 2013;23:831-40. [Crossref] [PubMed]
  55. Sharma VJ, Iyengar AJ, Zannino D, et al. Protein-losing enteropathy and plastic bronchitis after the Fontan procedure. J Thorac Cardiovasc Surg 2021;161:2158-2165.e4. [Crossref] [PubMed]
  56. Hammer V, Schaeffer T, Staehler H, et al. Protein-Losing Enteropathy and Plastic Bronchitis Following the Total Cavopulmonary Connections. World J Pediatr Congenit Heart Surg 2023;14:691-8. [Crossref] [PubMed]
  57. Dori Y, Keller MS, Fogel MA, et al. MRI of lymphatic abnormalities after functional single-ventricle palliation surgery. AJR Am J Roentgenol 2014;203:426-31. [Crossref] [PubMed]
  58. Ramirez-Suarez KI, Tierradentro-Garcia LO, Smith CL, et al. Dynamic contrast-enhanced magnetic resonance lymphangiography. Pediatr Radiol 2022;52:285-94. [Crossref] [PubMed]
  59. Smith CL, Dori Y, O'Byrne ML, et al. Transcatheter Thoracic Duct Decompression for Multicompartment Lymphatic Failure After Fontan Palliation. Circ Cardiovasc Interv 2022;15:e011733. [Crossref] [PubMed]
  60. Brownell JN, Biko DM, Mamula P, et al. Dynamic Contrast Magnetic Resonance Lymphangiography Localizes Lymphatic Leak to the Duodenum in Protein-Losing Enteropathy. J Pediatr Gastroenterol Nutr 2022;74:38-45. [Crossref] [PubMed]
  61. Dori Y, Smith CL, DeWitt AG, et al. Intramesenteric dynamic contrast pediatric MR lymphangiography: initial experience and comparison with intranodal and intrahepatic MR lymphangiography. Eur Radiol 2020;30:5777-84. [Crossref] [PubMed]
  62. Lemley BA, Biko DM, Dewitt AG, et al. Intrahepatic Dynamic Contrast-Enhanced Magnetic Resonance Lymphangiography: Potential Imaging Signature for Protein-Losing Enteropathy in Congenital Heart Disease. J Am Heart Assoc 2021;10:e021542. [Crossref] [PubMed]
  63. Gooty VD, Veeram Reddy SR, Greer JS, et al. Lymphatic pathway evaluation in congenital heart disease using 3D whole-heart balanced steady state free precession and T2-weighted cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2021;23:16. [Crossref] [PubMed]
  64. d'Udekem Y, Iyengar AJ, Galati JC, et al. Redefining expectations of long-term survival after the Fontan procedure: twenty-five years of follow-up from the entire population of Australia and New Zealand. Circulation 2014;130:S32-8. [Crossref] [PubMed]
  65. Poh CL, d'Udekem Y. Life After Surviving Fontan Surgery: A Meta-Analysis of the Incidence and Predictors of Late Death. Heart Lung Circ 2018;27:552-9. [Crossref] [PubMed]
  66. Takahashi T, Shiina Y, Nagao M, et al. Stroke volume ratio derived from magnetic resonance imaging as an indicator of interventricular dyssynchrony predicts future cardiac event in patients with biventricular Fontan circulation. Heart Vessels 2019;34:114-22. [Crossref] [PubMed]
  67. Kodama Y, Ishikawa Y, Kuraoka A, et al. Systemic-to-Pulmonary Collateral Flow Correlates with Clinical Condition Late After the Fontan Procedure. Pediatr Cardiol 2020;41:1800-6. [Crossref] [PubMed]
  68. Latus H, Kruppa P, Hofmann L, et al. Impact of aortopulmonary collateral flow and single ventricle morphology on longitudinal hemodynamics in Fontan patients: A serial CMR study. Int J Cardiol 2020;311:28-34. [Crossref] [PubMed]
  69. Shiraga K, Ozcelik N, Harris MA, et al. Imposition of Fontan physiology: Effects on strain and global measures of ventricular function. J Thorac Cardiovasc Surg 2021;162:1813-1822.e3. [Crossref] [PubMed]
  70. Hu L, Sun A, Guo C, et al. Assessment of global and regional strain left ventricular in patients with preserved ejection fraction after Fontan operation using a tissue tracking technique. Int J Cardiovasc Imaging 2019;35:153-60. [Crossref] [PubMed]
  71. Hu LW, Liu XR, Wang Q, et al. Systemic ventricular strain and torsion are predictive of elevated serum NT-proBNP in Fontan patients: a magnetic resonance study. Quant Imaging Med Surg 2020;10:485-95. [Crossref] [PubMed]
  72. Schäfer M, Mitchell MB, Frank BS, et al. Myocardial strain-curve deformation patterns after Fontan operation. Sci Rep 2023;13:11912. [Crossref] [PubMed]
  73. Ishizaki U, Nagao M, Shiina Y, et al. Global strain and dyssynchrony of the single ventricle predict adverse cardiac events after the Fontan procedure: Analysis using feature-tracking cine magnetic resonance imaging. J Cardiol 2019;73:163-70. [Crossref] [PubMed]
  74. Meyer SL, Ridderbos FS, Wolff D, et al. Serial cardiovascular magnetic resonance feature tracking indicates early worsening of cardiac function in Fontan patients. Int J Cardiol 2020;303:23-9. [Crossref] [PubMed]
  75. Peck D, Alsaied T, Pradhan S, et al. Atrial Reservoir Strain is Associated with Decreased Cardiac Index and Adverse Outcomes Post Fontan Operation. Pediatr Cardiol 2021;42:307-14. [Crossref] [PubMed]
  76. Castellanos DA, Ahmad S, St Clair N, et al. Magnetic resonance three-dimensional steady-state free precession imaging of the thoracic duct in patients with Fontan circulation and its relationship to outcomes. J Cardiovasc Magn Reson 2023;25:28. [Crossref] [PubMed]
  77. Hanser A, Hofbeck M, Hofmeister M, et al. Thoracic lymphatic anomalies in patients with univentricular hearts: correlation of morphologic findings in isotropic T2-weighted MRI with the outcome after fontan palliation. Front Cardiovasc Med 2023;10:1145613. [Crossref] [PubMed]
  78. Vaikom House A. Quantification of lymphatic burden in patients with Fontan circulation by T2 MR lymphangiography and associations with adverse Fontan status. Eur Heart J Cardiovasc Imaging 2023;24:241-9. [Crossref] [PubMed]
  79. Kisamori E, Venna A, Chaudhry HE, et al. Alarming rate of liver cirrhosis after the small conduit extracardiac Fontan: A comparative analysis with the lateral tunnel. J Thorac Cardiovasc Surg 2024;168:1221-1227.e1. [Crossref] [PubMed]
  80. Gunsaulus M, Wang L, Haack L, et al. Cardiac MRI-Derived Inferior Vena Cava Cross-Sectional Area Correlates with Measures of Fontan-Associated Liver Disease. Pediatr Cardiol 2024;45:909-20. [Crossref] [PubMed]
  81. van den Bosch E, Bossers SSM, Robbers-Visser D, et al. Ventricular Response to Dobutamine Stress CMR Is a Predictor for Outcome in Fontan Patients. JACC Cardiovasc Imaging 2019;12:368-70. [Crossref] [PubMed]
  82. Slesnick TC. Role of Computational Modelling in Planning and Executing Interventional Procedures for Congenital Heart Disease. Can J Cardiol 2017;33:1159-70. [Crossref] [PubMed]
  83. de Zélicourt DA, Kurtcuoglu V. Patient-Specific Surgical Planning, Where Do We Stand? The Example of the Fontan Procedure. Ann Biomed Eng 2016;44:174-86. [Crossref] [PubMed]
  84. Dasi LP, Sucosky P, de Zelicourt D, et al. Advances in cardiovascular fluid mechanics: bench to bedside. Ann N Y Acad Sci 2009;1161:1-25. [Crossref] [PubMed]
  85. van Bakel TMJ, Lau KD, Hirsch-Romano J, et al. Patient-Specific Modeling of Hemodynamics: Supporting Surgical Planning in a Fontan Circulation Correction. J Cardiovasc Transl Res 2018;11:145-55. [Crossref] [PubMed]
  86. Aramburu J, Ruijsink B, Chabiniok R, et al. Patient-specific closed-loop model of the fontan circulation: Calibration and validation. Heliyon 2024;10:e30404. [Crossref] [PubMed]
  87. Frieberg P, Aristokleous N, Sjöberg P, et al. Correction to: Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours: The Next Step in Clinical Pre-Interventional Simulations. J Cardiovasc Transl Res 2022;15:721. [Crossref] [PubMed]
  88. Shimizu S, Une D, Kawada T, et al. Lumped parameter model for hemodynamic simulation of congenital heart diseases. J Physiol Sci 2018;68:103-11. [Crossref] [PubMed]
  89. Sughimoto K, Ueda T, Fujiwara T, et al. Impact of Atrial Fibrillation on Fontan Circulation: Fontan Computational Model. Ann Thorac Surg 2022;114:1460-7. [Crossref] [PubMed]
  90. Abbasi Bavil E, Doyle MG, Debbaut C, et al. Calibration of an Electrical Analog Model of Liver Hemodynamics in Fontan Patients. J Biomech Eng 2021;143:031011. [Crossref] [PubMed]
  91. Puelz C, Acosta S, Rivière B, et al. A computational study of the Fontan circulation with fenestration or hepatic vein exclusion. Comput Biol Med 2017;89:405-18. [Crossref] [PubMed]
  92. Yevtushenko P, Goubergrits L, Gundelwein L, et al. Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics. IEEE J Biomed Health Inform 2022;26:1815-25. [Crossref] [PubMed]
  93. Schafstedde M, Yevtushenko P, Nordmeyer S, et al. Virtual treatment planning in three patients with univentricular physiology using computational fluid dynamics-Pitfalls and strategies. Front Cardiovasc Med 2022;9:898701. [Crossref] [PubMed]
  94. Liu X, Aslan S, Kim B, et al. Computational Fontan Analysis: Preserving Accuracy While Expediting Workflow. World J Pediatr Congenit Heart Surg 2022;13:293-301. [Crossref] [PubMed]
Cite this article as: Voges I, Gabbert DD, Panakova D, Krupickova S. Impact of cardiovascular magnetic resonance in single ventricle physiology: a narrative review. Cardiovasc Diagn Ther 2024;14(6):1161-1175. doi: 10.21037/cdt-24-409

Download Citation