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Schafstedde M, Yevtushenko P, Nordmeyer S, Kramer P, Schleiger A, Solowjowa N, Berger F, Photiadis J, Mykychak Y, Cho MY, Ovroutski S, Kuehne T, Brüning J. Virtual treatment planning in three patients with univentricular physiology using computational fluid dynamics—Pitfalls and strategies. Front Cardiovasc Med 2022; 9:898701. [PMID: 35990961 PMCID: PMC9381838 DOI: 10.3389/fcvm.2022.898701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundUneven hepatic venous blood flow distribution (HFD) to the pulmonary arteries is hypothesized to be responsible for the development of intrapulmonary arteriovenous malformations (PAVM) in patients with univentricular physiology. Thus, achieving uniform distribution of hepatic blood flow is considered favorable. However, no established method for the prediction of the post-interventional hemodynamics currently exists. Computational fluid dynamics (CFD) offers the possibility to quantify HFD in patient-specific anatomies before and after virtual treatment. In this study, we evaluated the potential benefit of CFD-assisted treatment planning.Materials and methodsThree patients with total cavopulmonary connection (TCPC) and PAVM underwent cardiovascular magnetic resonance imaging (CMR) and computed tomography imaging (CT). Based on this imaging data, the patient-specific anatomy was reconstructed. These patients were considered for surgery or catheter-based intervention aiming at hepatic blood flow re-routing. CFD simulations were then performed for the untreated state as well as for different surgical and interventional treatment options. These treatment options were applied as suggested by treating cardiologists and congenital heart surgeons with longstanding experience in interventional and surgical treatment of patients with univentricular physiology. HFD was quantified for all simulations to identify the most viable treatment decision regarding redistribution of hepatic blood flow.ResultsFor all three patients, the complex TCPC anatomy could be reconstructed. However, due to the presence of metallic stent implants, hybrid models generated from CT as well as CMR data were required. Numerical simulation of pre-interventional HFD agreed well with angiographic assessment and physiologic considerations. One treatment option resulting in improvement of HFD was identified for each patient. In one patient follow-up data after treatment was available. Here, the virtual treatment simulation and the CMR flow measurements differed by 15%.ConclusionThe combination of modern computational methods as well as imaging methods for assessment of patient-specific anatomy and flow might allow to optimize patient-specific therapy planning in patients with pronounced hepatic flow mismatch and PAVM. In this study, we demonstrate that these methods can also be applied in patients with complex univentricular physiology and extensive prior interventions. However, in those cases, hybrid approaches utilizing information of different image modalities may be required.
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Affiliation(s)
- Marie Schafstedde
- Department of Congenital Heart Disease–Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany
- Institute for Cardiovascular Computer-Assisted Medicine, Charité–Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
- German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
- *Correspondence: Marie Schafstedde,
| | - Pavlo Yevtushenko
- Institute for Cardiovascular Computer-Assisted Medicine, Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Sarah Nordmeyer
- Department of Congenital Heart Disease–Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany
- Institute for Cardiovascular Computer-Assisted Medicine, Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Kramer
- Department of Congenital Heart Disease–Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Anastasia Schleiger
- Department of Congenital Heart Disease–Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Natalia Solowjowa
- Department of Cardiothoracic and Vascular Surgery, German Heart Center Berlin, Berlin, Germany
| | - Felix Berger
- Department of Congenital Heart Disease–Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany
- German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
- Department of Pediatric Cardiology, Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Joachim Photiadis
- Department of Congenital Heart Surgery, German Heart Center Berlin, Berlin, Germany
| | - Yaroslav Mykychak
- Department of Congenital Heart Surgery, German Heart Center Berlin, Berlin, Germany
| | - Mi-Young Cho
- Department of Congenital Heart Surgery, German Heart Center Berlin, Berlin, Germany
| | - Stanislav Ovroutski
- Department of Congenital Heart Disease–Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Titus Kuehne
- Department of Congenital Heart Disease–Pediatric Cardiology, German Heart Center Berlin, Berlin, Germany
- Institute for Cardiovascular Computer-Assisted Medicine, Charité–Universitätsmedizin Berlin, Berlin, Germany
- German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
| | - Jan Brüning
- Institute for Cardiovascular Computer-Assisted Medicine, Charité–Universitätsmedizin Berlin, Berlin, Germany
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