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Rothenberger SM, Zhang J, Markl M, Craig BA, Vlachos PP, Rayz VL. 4D flow MRI velocity uncertainty quantification. Magn Reson Med 2024. [PMID: 39270010 DOI: 10.1002/mrm.30287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 07/27/2024] [Accepted: 08/20/2024] [Indexed: 09/15/2024]
Abstract
PURPOSE An automatic method is presented for estimating 4D flow MRI velocity measurement uncertainty in each voxel. The velocity distance (VD) metric, a statistical distance between the measured velocity and local error distribution, is introduced as a novel measure of 4D flow MRI velocity measurement quality. METHODS The method uses mass conservation to assess the local velocity error variance and the standardized difference of means (SDM) velocity to estimate the velocity error correlations. VD is evaluated as the Mahalanobis distance between the local velocity measurement and the local error distribution. The uncertainty model is validated synthetically and tested in vitro under different flow resolutions and noise levels. The VD's application is demonstrated on two in vivo thoracic vasculature 4D flow datasets. RESULTS Synthetic results show the proposed uncertainty quantification method is sensitive to aliased regions across various velocity-to-noise ratios and assesses velocity error correlations in four- and six-point acquisitions with correlation errors at or under 3.2%. In vitro results demonstrate the method's sensitivity to spatial resolution, venc settings, partial volume effects, and phase wrapping error sources. Applying VD to assess in vivo 4D flow MRI in the aorta demonstrates the expected increase in measured velocity quality with contrast administration and systolic flow. CONCLUSION The proposed 4D flow MRI uncertainty quantification method assesses velocity measurement error owing to sources including noise, intravoxel phase dispersion, and velocity aliasing. This method enables rigorous comparison of 4D flow MRI datasets obtained in longitudinal studies, across patient populations, and with different MRI systems.
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Affiliation(s)
- Sean M Rothenberger
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Jiacheng Zhang
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Michael Markl
- Department of Radiology at the Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Bruce A Craig
- Department of Statistics, Purdue University, West Lafayette, Indiana, USA
| | - Pavlos P Vlachos
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Vitaliy L Rayz
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA
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Patel NM, Bartusiak ER, Rothenberger SM, Schwichtenberg AJ, Delp EJ, Rayz VL. Super-Resolving and Denoising 4D flow MRI of Neurofluids Using Physics-Guided Neural Networks. Ann Biomed Eng 2024:10.1007/s10439-024-03606-w. [PMID: 39223318 DOI: 10.1007/s10439-024-03606-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 08/18/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE To obtain high-resolution velocity fields of cerebrospinal fluid (CSF) and cerebral blood flow by applying a physics-guided neural network (div-mDCSRN-Flow) to 4D flow MRI. METHODS The div-mDCSRN-Flow network was developed to improve spatial resolution and denoise 4D flow MRI. The network was trained with patches of paired high-resolution and low-resolution synthetic 4D flow MRI data derived from computational fluid dynamic simulations of CSF flow within the cerebral ventricles of five healthy cases and five Alzheimer's disease cases. The loss function combined mean squared error with a binary cross-entropy term for segmentation and a divergence-based regularization term for the conservation of mass. Performance was assessed using synthetic 4D flow MRI in one healthy and one Alzheimer' disease cases, an in vitro study of healthy cerebral ventricles, and in vivo 4D flow imaging of CSF as well as flow in arterial and venous blood vessels. Comparison was performed to trilinear interpolation, divergence-free radial basis functions, divergence-free wavelets, 4DFlowNet, and our network without divergence constraints. RESULTS The proposed network div-mDCSRN-Flow outperformed other methods in reconstructing high-resolution velocity fields from synthetic 4D flow MRI in healthy and AD cases. The div-mDCSRN-Flow network reduced error by 22.5% relative to linear interpolation for in vitro core voxels and by 49.5% in edge voxels. CONCLUSION The results demonstrate generalizability of our 4D flow MRI super-resolution and denoising approach due to network training using flow patches and physics-based constraints. The mDCSRN-Flow network can facilitate MRI studies involving CSF flow measurements in cerebral ventricles and association of MRI-based flow metrics with cerebrovascular health.
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Affiliation(s)
- Neal M Patel
- Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Emily R Bartusiak
- Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
| | | | | | - Edward J Delp
- Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
- Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Vitaliy L Rayz
- Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
- Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
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Yin Z, Armour C, Kandail H, O'Regan DP, Bahrami T, Mirsadraee S, Pirola S, Xu XY. Fluid-structure interaction analysis of a healthy aortic valve and its surrounding haemodynamics. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2024:e3865. [PMID: 39209425 DOI: 10.1002/cnm.3865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 07/23/2024] [Accepted: 08/17/2024] [Indexed: 09/04/2024]
Abstract
The opening and closing dynamics of the aortic valve (AV) has a strong influence on haemodynamics in the aortic root, and both play a pivotal role in maintaining normal physiological functions of the valve. The aim of this study was to establish a subject-specific fluid-structure interaction (FSI) workflow capable of simulating the motion of a tricuspid healthy valve and the surrounding haemodynamics under physiologically realistic conditions. A subject-specific aortic root was reconstructed from magnetic resonance (MR) images acquired from a healthy volunteer, whilst the valve leaflets were built using a parametric model fitted to the subject-specific aortic root geometry. The material behaviour of the leaflets was described using the isotropic hyperelastic Ogden model, and subject-specific boundary conditions were derived from 4D-flow MR imaging (4D-MRI). Strongly coupled FSI simulations were performed using a finite volume-based boundary conforming method implemented in FlowVision. Our FSI model was able to simulate the opening and closing of the AV throughout the entire cardiac cycle. Comparisons of simulation results with 4D-MRI showed a good agreement in key haemodynamic parameters, with stroke volume differing by 7.5% and the maximum jet velocity differing by less than 1%. Detailed analysis of wall shear stress (WSS) on the leaflets revealed much higher WSS on the ventricular side than the aortic side and different spatial patterns amongst the three leaflets.
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Affiliation(s)
- Zhongjie Yin
- Department of Chemical Engineering, Imperial College London, London, UK
| | - Chlöe Armour
- Department of Chemical Engineering, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - Declan P O'Regan
- Laboratory of Medical Sciences, Imperial College London, London, UK
| | - Toufan Bahrami
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Cardiothoracic Surgery, Royal Brompton and Harefield Hospitals NHS Trust, London, UK
| | - Saeed Mirsadraee
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Radiology, Royal Brompton and Harefield Hospitals NHS Trust, London, UK
| | - Selene Pirola
- Department of Chemical Engineering, Imperial College London, London, UK
- Department of BioMechanical Engineering, TU Delft, Delft, The Netherlands
| | - Xiao Yun Xu
- Department of Chemical Engineering, Imperial College London, London, UK
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Morales MA, Nezafat R. Editorial for "Prerequisites for Clinical Implementation of Whole-Heart 4D-Flow MRI: A Delphi Analysis". J Magn Reson Imaging 2024. [PMID: 39172062 DOI: 10.1002/jmri.29559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 07/22/2024] [Indexed: 08/23/2024] Open
Affiliation(s)
- Manuel A Morales
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Reza Nezafat
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
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Valdeolmillos E, Sakhi H, Tortigue M, Audié M, Isorni MA, Lecerf F, Sitbon O, Montani D, Jais X, Savale L, Humbert M, Azarine A, Hascoët S. 4D flow cardiac MRI to assess pulmonary blood flow in patients with pulmonary arterial hypertension associated with congenital heart disease. Diagn Interv Imaging 2024; 105:266-272. [PMID: 38368175 DOI: 10.1016/j.diii.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 02/19/2024]
Abstract
PURPOSE The purpose of this study was to evaluate the accuracy of four-dimensional flow cardiac magnetic resonance imaging (4D flow MRI) compared to right heart catheterization in measuring pulmonary flow (Qp), systemic flow (Qs) and pulmonary-to-systemic flow ratio (Qp/Qs) in patients with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD). MATERIALS AND METHODS The study was registered on Clinical-trial.gov (NCT03928002). Sixty-four patients with PAH-CHD who underwent 4D flow MRI were included. There were 16 men and 48 women with a mean age of 45.3 ± 13.7 (standard deviation [SD]) years (age range: 21-77 years). Fifty patients (50/64; 78%) presented with pre-tricuspid shunt. Qp (L/min), Qs (L/min) and Qp/Qs were measured invasively using direct Fick method during right heart catheterization and compared with measurements assessed by 4D flow MRI within a 24-48-hour window. RESULTS The average mean pulmonary artery pressure was 51 ± 17 (SD) mm Hg with median pulmonary vascular resistance of 8.8 Wood units (Q1, Q3: 5.3, 11.7). A strong linear correlation was found between Qp measurements obtained with 4D flow MRI and those obtained with the Fick method (r = 0.96; P < 0.001). Bland Altman analysis indicated a mean difference of 0.15 ± 0.48 (SD) L/min between Qp estimated by 4D flow MRI and by right heart catheterization. A strong correlation was found between Qs and Qp/Qs measured by 4D flow MRI and those obtained with the direct Fick method (r = 0.85 and r = 0.92; P < 0.001 for both). CONCLUSION Qp as measured by 4D flow MRI shows a strong correlation with measurements derived from the direct Fick method. Further investigation is needed to develop less complex and standardized methods for measuring essential PAH parameters, such as pulmonary arterial pressures and pulmonary vascular resistance.
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Affiliation(s)
- Estibaliz Valdeolmillos
- Department of Congenital Heart Diseases, Centre de Référence Malformations Cardiaques Congénitales Complexes M3C, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Faculté de Médecine, Université Paris Saclay, 92350 Le Plessis-Robinson, France; Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France.
| | - Hichem Sakhi
- Department of Congenital Heart Diseases, Centre de Référence Malformations Cardiaques Congénitales Complexes M3C, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Faculté de Médecine, Université Paris Saclay, 92350 Le Plessis-Robinson, France; Department of Cardiology, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Faculté de Médecine, Université Paris Saclay, 92350 Le Plessis-Robinson, France; Department of Radiology, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Université Paris-Saclay, 92350 Le Plessis-Robinson, France
| | - Marine Tortigue
- Department of Congenital Heart Diseases, Centre de Référence Malformations Cardiaques Congénitales Complexes M3C, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Faculté de Médecine, Université Paris Saclay, 92350 Le Plessis-Robinson, France
| | - Marion Audié
- Department of Congenital Heart Diseases, Centre de Référence Malformations Cardiaques Congénitales Complexes M3C, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Faculté de Médecine, Université Paris Saclay, 92350 Le Plessis-Robinson, France
| | - Marc-Antoine Isorni
- Department of Radiology, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Université Paris-Saclay, 92350 Le Plessis-Robinson, France
| | - Florence Lecerf
- Research and Innovation Department, Marie Lannelongue Hospital, Paris Saclay University, 92350 Le Plessis-Robinson, France
| | - Olivier Sitbon
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France; Department of Respiratory and Intensive Care Medicine, Reference Centre for Pulmonary Hypertension, Hôpital Bicêtre, 94270 Le Kremlin-Bicêtre, France
| | - David Montani
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France; Department of Respiratory and Intensive Care Medicine, Reference Centre for Pulmonary Hypertension, Hôpital Bicêtre, 94270 Le Kremlin-Bicêtre, France
| | - Xavier Jais
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France; Department of Respiratory and Intensive Care Medicine, Reference Centre for Pulmonary Hypertension, Hôpital Bicêtre, 94270 Le Kremlin-Bicêtre, France
| | - Laurent Savale
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France; Department of Respiratory and Intensive Care Medicine, Reference Centre for Pulmonary Hypertension, Hôpital Bicêtre, 94270 Le Kremlin-Bicêtre, France
| | - Marc Humbert
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France; Department of Respiratory and Intensive Care Medicine, Reference Centre for Pulmonary Hypertension, Hôpital Bicêtre, 94270 Le Kremlin-Bicêtre, France
| | - Arshid Azarine
- Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France; Department of Radiology, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Université Paris-Saclay, 92350 Le Plessis-Robinson, France
| | - Sébastien Hascoët
- Department of Congenital Heart Diseases, Centre de Référence Malformations Cardiaques Congénitales Complexes M3C, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint-Joseph, Faculté de Médecine, Université Paris Saclay, 92350 Le Plessis-Robinson, France; Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremin-Bicêtre, France; Inserm UMR-S 999, Hôpital Marie Lannelongue, 92350 Le Plessis-Robinson, France
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Tang M, Zhang F, Liu B, Liu Q, Qi W, Tang M, Luo Y, Chen J. Assessment of Pulmonary Arteries Hemodynamics and Its Relationship With Cardiac Remodeling and Myocardial Fibrosis in Athletes With Four-Dimensional Flow MRI. J Magn Reson Imaging 2024; 60:377-387. [PMID: 37819191 DOI: 10.1002/jmri.29048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/26/2023] [Accepted: 09/28/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Exercise-induced cardiac remodeling (CR) and myocardial fibrosis (MF) can increase cardiovascular risk in athletes. Early detection of pulmonary arterial hemodynamics parameters among athletes may be beneficial in optimizing the frequency of clinical follow-ups. PURPOSE To analyze the hemodynamics of pulmonary arteries and its relationship with CR and MF in athletes using four-dimensional (4D) flow MRI. STUDY TYPE Prospective. POPULATION One hundred twenty-one athletes (median age, 24 years; mean exercise per week 10 hours, for mean of 5 years) and twenty-one sedentary healthy controls (median age, 25 years; exercise per week <3 hours, irregular pattern). FIELD STRENGTH/SEQUENCE True fast imaging with steady state free precession, time-resolved 3D Cartesian phase-contrast, and phase sensitive inversion recovery late gadolinium enhancement sequences at 3.0 T. ASSESSMENT CR was defined as any cardiac parameters exceeding the 99th percentile upper reference limits, encompassing ventricular function, bi-atrium and bi-ventricle diameters, and ventricular wall thickness. MF was visually evaluated by three independent radiologists. 4D flow parameters were assessed in the main, right, and left pulmonary arteries (MPA, RPA, and LPA, respectively) and compared between different groups. Four machine learning (ML) models were developed to differentiate between athletes with and without CR and/or MF. STATISTICAL TESTS Univariate analysis was used to compare groups. Area under the receiver operating characteristic curve (AUC) was used to assess the performance of the ML models. RESULTS Athletes had significantly higher WSSmax in the MPA, RPA, and LPA than controls. Athletes with CR and/or MF (N = 30) had significantly lower RPmax from MPA to RPA than those without (N = 91). Among the ML models, the gradient boosting machine model had the highest performance, with an AUC of 0.90. CONCLUSION The pulmonary arterial hemodynamics parameters could differentiate CR and/or MF in athletes, which may be potential to assist in optimizing frequency of follow-up. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Mingsong Tang
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Fan Zhang
- Department of Gynaecology and Ostetrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Binyao Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Qian Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Wanying Qi
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Min Tang
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yong Luo
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Jing Chen
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
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Prince MR. Editorial for "Assessment of Complex Flow Patterns in Patients With Carotid Webs, Patients With Carotid Atherosclerosis, and Healthy Subjects Using 4D Flow MRI". J Magn Reson Imaging 2024; 59:2011-2012. [PMID: 37698383 DOI: 10.1002/jmri.29011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 08/30/2023] [Indexed: 09/13/2023] Open
Affiliation(s)
- Martin R Prince
- Department of Radiology, Weill Cornell Medicine, New York City, New York, USA
- Department of Radiology, Columbia University Irving Medical Center, New York, USA
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Hou G, Fu M, Wang X, Liu Z, Zhang Y, Zhu D, Pang H, Li R, Shen L. Modified no-touch technique for radio-cephalic arteriovenous fistula increases primary patency and decreases juxta-anastomotic stenosis. J Vasc Access 2024; 25:904-913. [PMID: 36519744 DOI: 10.1177/11297298221139339] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024] Open
Abstract
OBJECTIVE Low primary patency rate is a major problem of radio-cephalic arteriovenous fistula (RC-AVF) creation. Radial artery deviation and reimplantation (RADAR) is associated with low juxta-anastomotic stenosis rate. However, inflow artery stenosis is prominent with RADAR. To further reduce injury to veins and arteries during operation, a modified no-touch technique (MNTT) was used to create RC-AVF. METHODS We retrospectively reviewed our prospectively maintained database of patients with end-stage renal disease (ESRD)s undergoing RC-AVF creation for hemodialysis using either the MNTT between January 2021 and January 2022 (MNTT group) or conventional surgical procedure ( end-to-side vein-to-artery anastomosis) between October 2016 and October 2017 (Control group). Patients who chose to undergo RC-AVF surgery underwent standardized preoperative mapping and postoperative fistula evaluations using duplex ultrasound. Additionally, 4D flow MRI data were used to visualize and quantify the hemodynamics of one RC-AVF by MNTT. Outcomes included primary patency, juxta-anastomotic stenosis, and maturation rates. RESULTS Forty patients underwent RC-AVFs by MNTT, compared to 60 patients in the control group. The MNTT group had a higher primary unassisted patency rate than the control group (p = 0.038). Juxta-anastomotic stenosis (all on the cephalic vein) occurred in 4 (10%) patients who underwent MNTT. RC-AVF maturation rates after 3 months were not different between both groups (maturation rate: 90% and 81.7% in the MNTT and control groups, respectively, p = 0.253). COX regression showed that both conventional AVF surgery (p = 0.031) and smaller cephalic vein diameter (p = 0.034) were associated with higher odds of RC-AVF failure. The AVF flow within the proximal vein remained helical during cardiac cycle. The distribution of wall shear stress (WSS) and oscillatory shear index (OSI) differed from that of conventional surgical AVF. CONCLUSION RC-AVF by MNTT increases primary patency rate and decreases juxta-anastomotic stenosis rate. The improvement in hemodynamics may be one of the important reasons for the better patency rate of in the RC-AVF by MNTT group.
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Affiliation(s)
- Guocun Hou
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Nephrology, Suzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Mingzhu Fu
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Xiaohe Wang
- Department of Nephrology, Suzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Zhen Liu
- Department of Nephrology, Suzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Yuanyuan Zhang
- Department of Nephrology, Suzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Dongming Zhu
- Department of Medical Imaging, Suzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Hongquan Pang
- Department of Medical Imaging, Suzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Rui Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Lei Shen
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China
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Jagadeesan B, Tariq F, Nada A, Bhatti IA, Masood K, Siddiq F. Principles Behind 4D Time-Resolved MRA/Dynamic MRA in Neurovascular Imaging. Semin Roentgenol 2024; 59:191-202. [PMID: 38880517 DOI: 10.1053/j.ro.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 02/28/2024] [Indexed: 06/18/2024]
Affiliation(s)
- Bharathi Jagadeesan
- Departments of Radiology, Neurology and Neurosurgery, University of Minnesota, Minneapolis, MN.
| | - Farzana Tariq
- Departments of Neurosurgery and Radiology, University of Missouri, Columbia, MO
| | - Ayman Nada
- Departments of Neurosurgery and Radiology, University of Missouri, Columbia, MO
| | - Ibrahim A Bhatti
- Departments of Neurosurgery and Radiology, University of Missouri, Columbia, MO
| | - Kamran Masood
- Departments of Radiology, Neurology and Neurosurgery, University of Minnesota, Minneapolis, MN
| | - Farhan Siddiq
- Departments of Neurosurgery and Radiology, University of Missouri, Columbia, MO
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Sakhi H, Soulat G, Craiem D, Gencer U, Lamy J, Stipechi V, Puscas T, Hulot JS, Hagege A, Mousseaux E. Association of Impaired Left Ventricular Mitral Filling from 4D Flow Cardiac MRI and Prognosis of Hypertrophic Cardiomyopathy. Radiol Cardiothorac Imaging 2024; 6:e230198. [PMID: 38512023 PMCID: PMC11058532 DOI: 10.1148/ryct.230198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 11/21/2023] [Accepted: 02/05/2024] [Indexed: 03/22/2024]
Abstract
Purpose To investigate whether the peak early filling rate normalized to the filling volume (PEFR/FV) estimated from four-dimensional (4D) flow cardiac MRI may be used to assess impaired left ventricular (LV) filling and predict clinical outcomes in individuals with hypertrophic cardiomyopathy (HCM). Materials and Methods Cardiac MRI with a 4D flow sequence and late gadolinium enhancement (LGE), as well as echocardiography, was performed in 88 individuals: 44 participants with HCM from a French prospective registry (ClinicalTrials.gov; NCT01091480) and 44 healthy volunteers matched for age and sex. In participants with HCM, a composite primary end point was assessed at follow-up, including unexplained syncope, new-onset atrial fibrillation, hospitalization for congestive heart failure, ischemic stroke, sustained ventricular arrhythmia, septal reduction therapy, and cardiac death. A Cox proportional hazard model was used to analyze associations with the primary end point. Results PEFR/FV was significantly lower in the HCM group (mean age, 51.8 years ± 18.5 [SD]; 29 male participants) compared with healthy volunteers (mean, 3.35 sec-1 ± 0.99 [0.90-5.20] vs 4.42 sec-1 ± 1.68 [2.74-11.86]; P < .001) and correlated with both B-type natriuretic peptide (BNP) level (r = -0.31; P < .001) and the ratio of pulsed Doppler early transmitral inflow to Doppler tissue imaging annulus velocities (E/E'; r = -0.54; P < .001). At a median follow-up of 2.3 years (IQR, 1.7-3.3 years), the primary end point occurred in 14 (32%) participants. A PEFR/FV of 2.61 sec-1 or less was significantly associated with occurrence of the primary end point (hazard ratio, 9.46 [95% CI: 2.61, 45.17; P < .001] to 15.21 [95% CI: 3.51, 80.22; P < .001]), independently of age, BNP level, E/E', LGE extent, and LV and left atrial strain according to successive bivariate models. Conclusion In HCM, LV filling evaluated with 4D flow cardiac MRI correlated with Doppler and biologic indexes of diastolic dysfunction and predicted clinical outcomes. Keywords: Diastolic Function, Left Ventricular Filling, Hypertrophic Cardiomyopathy, Cardiac MRI, 4D Flow Sequence Clinical trial registration no. NCT01091480 Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- Hichem Sakhi
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Gilles Soulat
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Damian Craiem
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Umit Gencer
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Jérôme Lamy
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Valentina Stipechi
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Tania Puscas
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Jean-Sébastien Hulot
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Albert Hagege
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
| | - Elie Mousseaux
- From the Department of Radiology, AP-HP, Hôpital
Européen Georges-Pompidou, 20-40 rue Leblanc, 75015 Paris, France (H.S.,
G.S., U.G., J.L., T.P., J.S.H., A.H., E.M.); Institut National de la
Santé et de la Recherche Médicale, PARCC, Paris, France (G.S.,
U.G., J.L., J.S.H., A.H., E.M.); Université de Paris-Cité, Paris,
France (G.S., J.S.H., A.H., E.M.); and Instituto de Medicina Traslacional,
Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET,
Buenos Aires, Argentina (D.C., V.S.)
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11
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Zeng W, Weng C, Yuan D, Wang T, Huang B, Zhao J, Xia C, Li Z, Wang J. Multimodality magnetic resonance evaluating the effect of enhanced physical exercise on the growth rate, flow haemodynamics, aneurysm wall and ventricular-aortic coupling of patients with small abdominal aortic aneurysms (AAA MOVE trial): a study protocol for an open-label randomised controlled trial. BMJ Open 2024; 14:e080073. [PMID: 38355193 PMCID: PMC10868247 DOI: 10.1136/bmjopen-2023-080073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/24/2024] [Indexed: 02/16/2024] Open
Abstract
INTRODUCTION The best lifestyle for small abdominal aortic aneurysms (sAAA) is essential for its conservative management. Physical exercise can improve the cardiopulmonary function of the patients, but it remains unclear which specific type of exercise is most beneficial for individuals with sAAA. The current study was designed to investigate the effect of physician-guided enhanced physical exercise programme on the aorto-cardiac haemodynamic environment, aneurysm sac wall, cardiac function and growth rate of sAAA by multimodality MRI. METHODS AND ANALYSIS AAA MOVE study is a prospective, parallel, equivalence, randomised controlled trial. Eligible individuals will be recruited if they are diagnosed with sAAA (focal dilation of abdominal aorta with maximum diameter <5 cm), without contraindication for MRI scanning, or severe heart failure, or uncontrolled arrhythmia. Participants will be randomly allocated to intervention group (physician-guided enhanced physical exercise programme: mainly aerobic training) and control group (standard clinical care) separately in a 1:1 ratio. The primary outcome is 12-month growth rate of sAAA. The first set of secondary outcomes involve multimodality MRI parameters covering flow haemodynamics, aortic wall inflammation and cardiac function. The other secondary outcome (safety end point) is a composite of exercise-related injury, aneurysm rupture and aneurysm intervention. Follow-up will be conducted at 6 and 12 months after intervention. ETHICS AND DISSEMINATION This study was approved by the Ethics Committee on Biomedical Research of West China Hospital (approval number: 2023-783) on 16 June 2023. Main findings from the trial will be disseminated through presentations at conferences, peer-reviewed publications and directly pushed to smartphone of participants. TRIAL REGISTRATION NUMBER ChiCTR2300073334.
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Affiliation(s)
- Wen Zeng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chengxin Weng
- Division of vascular surgery, Department of general surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ding Yuan
- Division of vascular surgery, Department of general surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tiehao Wang
- Division of vascular surgery, Department of general surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bin Huang
- Division of vascular surgery, Department of general surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jichun Zhao
- Division of vascular surgery, Department of general surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chunchao Xia
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhenlin Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiarong Wang
- Division of vascular surgery, Department of general surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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12
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Ma Z, Zhou Y, Li P, He W, Li M. Clinical application of four-dimensional flow cardiovascular magnetic resonance in Marfan syndrome: A systematic review and meta-analysis. Curr Probl Cardiol 2024; 49:102177. [PMID: 37913934 DOI: 10.1016/j.cpcardiol.2023.102177] [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: 10/27/2023] [Accepted: 10/28/2023] [Indexed: 11/03/2023]
Abstract
This study aims to fill this gap by assessing the application of 4D flow CMR in MFS through a systematic review and meta-analysis. We conducted a comprehensive search of databases from their inception to May 1, 2023. Eligibility criteria were established based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The quality of studies was assessed using the Newcastle-Ottawa Scale (NOS), with studies scoring above five deemed high quality. Meta-analyses were performed using Stata 15.1 software. Nine studies were analyzed. Findings indicate MFS patients had increased vortex flow in the descending aorta (DAo), larger aortic root diameter (ARD) and Z-scores, lower inner wall shear stress (WSS) in the proximal descending aorta (pDAo), reduced in-plane rotational flow (IRF) in the aortic arch and proximal descending aorta (pDAo), and increased pulse wave velocity (PWV) in the ascending aorta (AAo) and DAo compared to healthy subjects. No significant difference in systolic flow reversal ratio was observed. Sensitivity analysis showed no heterogeneity and Egger's test revealed no publication bias. This meta-analysis underscores the effectiveness of 4D flow CMR in detecting MFS, particularly through indicators such as vortex flow, WSS, IRF, ARD, and PWV. The findings provide insights into diagnosing cardiovascular diseases and predicting cardiovascular events in MFS patients. Further case-control studies are needed to establish measurement standards and explore potential indicators for improved diagnosis and treatment of MFS.
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Affiliation(s)
- Zixuan Ma
- Second Clinical College, GuangZhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Yuanxin Zhou
- Second Clinical College, GuangZhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Pengpu Li
- College of Pharmacy, GuangZhou Medical University, Guangzhou, Guangdong, 510182, China
| | - Wenkai He
- Department of Cardiology, Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, The Second Affiliated Hospital, Guangzhou Medical University, No. 63 South Asian Games Road, Panyu District, Guangzhou, Guangdong, 510260, China.
| | - Mingyan Li
- Department of Cardiology, Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, The Second Affiliated Hospital, Guangzhou Medical University, No. 63 South Asian Games Road, Panyu District, Guangzhou, Guangdong, 510260, China.
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13
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Nie C, Tao L, Chen J, Yang J, Chen Z, Huang W. Application of 4D flow MRI for exploring factors affecting haemodynamics of iliac veins in asymptomatic population. Clin Hemorheol Microcirc 2024; 87:481-490. [PMID: 38728181 DOI: 10.3233/ch-242135] [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] [Indexed: 05/12/2024]
Abstract
BACKGROUND Haemodynamics plays an important role in the development of vascular disease. There is currently a lack of studies evaluating the characteristics and affecting factors of the iliac vein haemodynamics in clinical practice. OBJECTIVE The goal of this study was to use 4D flow MRI to explore the haemodynamic characteristics of iliac veins and its affecting factors in an asymptomatic population. METHODS Thirty consecutive volunteers without venous-related symptoms or signs underwent four-dimensional postprocessing of their MRI images. Relevant parameters, the demographic data, common iliac vein-inferior vena cava angle, iliac vein area, tortuosity, iliac vein mean flow, mean velocity was computed and analysed. T tests and Spearman's tests were used for analysing. A P value of 0.05 or less was considered significant. RESULTS Height and iliac vein area were positively correlated with flow, while degree of stenosis, and common iliac-inferior vena cava angle were negatively correlated with that. Degree of stenosis was positively correlated with velocity, but the common iliac-inferior vena cava angle and iliac vein tortuosity were negatively correlated with that. The mean flow and velocity of iliac veins in females were lower than males. The mean flow and velocity of the left iliac veins were lower than those of the right. CONCLUSION The height, gender, tortuosity, degree of stenosis, common iliac vein-inferior vena cava angle of the iliac vein are important factors that affect flow and velocity of the iliac veins. There were differences in haemodynamic parameters of the bilateral iliac veins.
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Affiliation(s)
- Chengli Nie
- The First Affiliated Hospital of Chongqing MedicalUniversity, Chongqing, China
| | - Li Tao
- The First Affiliated Hospital of Chongqing MedicalUniversity, Chongqing, China
| | - Jiangwei Chen
- The First Affiliated Hospital of Chongqing MedicalUniversity, Chongqing, China
| | - Jianghu Yang
- The First Affiliated Hospital of Chongqing MedicalUniversity, Chongqing, China
| | - Zihui Chen
- The First Affiliated Hospital of Chongqing MedicalUniversity, Chongqing, China
| | - Wen Huang
- The First Affiliated Hospital of Chongqing MedicalUniversity, Chongqing, China
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14
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Ebrahimkhani M, Johnson EMI, Sodhi A, Robinson JD, Rigsby CK, Allen BD, Markl M. A Deep Learning Approach to Using Wearable Seismocardiography (SCG) for Diagnosing Aortic Valve Stenosis and Predicting Aortic Hemodynamics Obtained by 4D Flow MRI. Ann Biomed Eng 2023; 51:2802-2811. [PMID: 37573264 DOI: 10.1007/s10439-023-03342-7] [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: 03/26/2023] [Accepted: 07/27/2023] [Indexed: 08/14/2023]
Abstract
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtained using 4-dimensional (4D) flow magnetic resonance imaging (MRI) using wearable seismocardiography (SCG) devices. 4D flow MRI provides a comprehensive assessment of cardiovascular hemodynamics, but it is costly and time-consuming. We hypothesized that deep learning could be used to identify pathological changes in blood flow, such as elevated peak systolic velocity ([Formula: see text]) in patients with heart valve diseases, from SCG signals. We also investigated the ability of this deep learning technique to differentiate between patients diagnosed with aortic valve stenosis (AS), non-AS patients with a bicuspid aortic valve (BAV), non-AS patients with a mechanical aortic valve (MAV), and healthy subjects with a normal tricuspid aortic valve (TAV). In a study of 77 subjects who underwent same-day 4D flow MRI and SCG, we found that the [Formula: see text] values obtained using deep learning and SCGs were in good agreement with those obtained by 4D flow MRI. Additionally, subjects with non-AS TAV, non-AS BAV, non-AS MAV, and AS could be classified with ROC-AUC (area under the receiver operating characteristic curves) values of 92%, 95%, 81%, and 83%, respectively. This suggests that SCG obtained using low-cost wearable electronics may be used as a supplement to 4D flow MRI exams or as a screening tool for aortic valve disease.
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Affiliation(s)
- Mahmoud Ebrahimkhani
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Ethan M I Johnson
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Aparna Sodhi
- Ann & Robert H. Lurie Children's Hospital, Chicago, IL, 60611, USA
| | - Joshua D Robinson
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
- Ann & Robert H. Lurie Children's Hospital, Chicago, IL, 60611, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Cynthia K Rigsby
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
- Ann & Robert H. Lurie Children's Hospital, Chicago, IL, 60611, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Bradly D Allen
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, 60208, USA.
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15
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Sodhi A, Markl M, Popescu AR, Griffin LM, Robinson JD, Rigsby CK. Highly accelerated compressed sensing 4D flow MRI in congenital and acquired heart disease: comparison of aorta and main pulmonary artery flow parameters with conventional 4D flow MRI in children and young adults. Pediatr Radiol 2023; 53:2597-2607. [PMID: 37882844 DOI: 10.1007/s00247-023-05788-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/19/2023] [Accepted: 09/28/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Four-dimensional flow (4D flow) MRI has become a clinically utilized cardiovascular flow assessment tool. However, scans can be lengthy and may require anesthesia in younger children. Adding compressed sensing can decrease scan time, but its impact on hemodynamic data accuracy needs additional assessment. OBJECTIVE To compare 4D flow hemodynamics acquired with and without compressed sensing. MATERIALS AND METHODS Twenty-seven patients (median age: 13 [IQR: 9.5] years) underwent conventional and compressed sensing cardiovascular 4D flow following informed consent. Conventional 4D flow was performed using parallel imaging and an acceleration factor of 2. Compressed sensing 4D flow was performed with an acceleration factor of 7.7. Regions of interest were placed to compare flow parameters in the ascending aorta and main pulmonary artery. Paired Student's t-tests, Wilcoxon signed-rank tests, Bland-Altman plots, and intraclass correlation coefficients were conducted. A P-value of < 0.05 was considered statistically significant. RESULTS Mean scan acquisition time was reduced by 59% using compressed sensing (3.4 vs. 8.2 min, P < 0.001). Flow quantification was similar for compressed sensing and conventional 4D flow for the ascending aorta net flow: 47 vs. 49 ml/beat (P = 0.28); forward flow: 49 vs. 50 ml/beat (P = 0.07), and main pulmonary artery net flow: 49 vs. 51 ml/beat (P = 0.18); forward flow: 50 vs. 55 ml/beat (P = 0.07). Peak systolic velocity was significantly underestimated by compressed sensing 4D flow in the ascending aorta: 114 vs. 128 cm/s (P < 0.001) and main pulmonary artery: 106 vs. 112 cm/s (P = 0.02). CONCLUSION For both the aorta and main pulmonary artery, compressed sensing 4D flow provided equivalent net and forward flow values compared to conventional 4D flow but underestimated peak systolic velocity. By reducing scan time, compressed sensing 4D flow may decrease the need for anesthesia and increase scanner output without significantly compromising data integrity.
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Affiliation(s)
- Aparna Sodhi
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, 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
| | - Andrada R Popescu
- Department of Medical Imaging, Ann and 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
| | - Lindsay M Griffin
- Department of Medical Imaging, Ann and 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
| | - Joshua D Robinson
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Division of Cardiology, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Cynthia K Rigsby
- Department of Medical Imaging, Ann and 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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16
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Truskey GA. The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics. Bioengineering (Basel) 2023; 10:1066. [PMID: 37760168 PMCID: PMC10525821 DOI: 10.3390/bioengineering10091066] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
When combined with patient information provided by advanced imaging techniques, computational biomechanics can provide detailed patient-specific information about stresses and strains acting on tissues that can be useful in diagnosing and assessing treatments for diseases and injuries. This approach is most advanced in cardiovascular applications but can be applied to other tissues. The challenges for advancing computational biomechanics for real-time patient diagnostics and treatment include errors and missing information in the patient data, the large computational requirements for the numerical solutions to multiscale biomechanical equations, and the uncertainty over boundary conditions and constitutive relations. This review summarizes current efforts to use deep learning to address these challenges and integrate large data sets and computational methods to enable real-time clinical information. Examples are drawn from cardiovascular fluid mechanics, soft-tissue mechanics, and bone biomechanics. The application of deep-learning convolutional neural networks can reduce the time taken to complete image segmentation, and meshing and solution of finite element models, as well as improving the accuracy of inlet and outlet conditions. Such advances are likely to facilitate the adoption of these models to aid in the assessment of the severity of cardiovascular disease and the development of new surgical treatments.
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Affiliation(s)
- George A Truskey
- Department of Biomedical Engineering, Duke University, Durham, NC 27701, USA
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17
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Zhang X, Mao B, Che Y, Kang J, Luo M, Qiao A, Liu Y, Anzai H, Ohta M, Guo Y, Li G. Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology. Comput Biol Med 2023; 164:107287. [PMID: 37536096 DOI: 10.1016/j.compbiomed.2023.107287] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/06/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023]
Abstract
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of hemodynamics remains a challenge for current invasive detection and simulation algorithms. Here, we integrate computational fluid dynamics with our customized analysis framework based on a multi-attribute point cloud dataset and physics-informed neural networks (PINNs)-aided deep learning modules. This combination is implemented by our workflow that generates flow field datasets within two types of patient personalized models - aorta with fine coronary branches and abdominal aorta. Deep learning modules with or without an antecedent hierarchical structure model the flow field development and complete the mapping from spatial and temporal dimensions to 4D hemodynamics. 88,000 cases on 4 randomized partitions in 16 controlled trials reveal the hemodynamic landscape of spatio-temporal anisotropy within two types of personalized models, which demonstrates the effectiveness of PINN in predicting the space-time behavior of flow fields and gives the optimal deep learning framework for different blood vessels in terms of balancing the training cost and accuracy dimensions. The proposed framework shows intentional performance in computational cost, accuracy and visualization compared to currently prevalent methods, and has the potential for generalization to model flow fields and corresponding clinical metrics within vessels at different locations. We expect our framework to push the 4D hemodynamic predictions to the real-time level, and in statistically significant fashion, applicable to morphologically variable vessels.
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Affiliation(s)
- Xuelan Zhang
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, China
| | - Baoyan Mao
- Beijing University of Chinese Medicine, Beijing 100029, China
| | - Yue Che
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, China
| | - Jiaheng Kang
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, China
| | - Mingyao Luo
- Department of Vascular Surgery, Fuwai Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100037, China; Department of Vascular Surgery, Fuwai Yunnan Cardiovascular Hospital, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, 650102, China
| | - Aike Qiao
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Youjun Liu
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Hitomi Anzai
- Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, 980-8577, Japan
| | - Makoto Ohta
- Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, 980-8577, Japan
| | - Yuting Guo
- Department of Mechanical Engineering and Science, Kyoto University, Kyoto, 615-8540, Japan
| | - Gaoyang Li
- Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, 980-8577, Japan.
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18
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Xu S, Wang F, Mai P, Peng Y, Shu X, Nie R, Zhang H. Mechanism Analysis of Vascular Calcification Based on Fluid Dynamics. Diagnostics (Basel) 2023; 13:2632. [PMID: 37627891 PMCID: PMC10453151 DOI: 10.3390/diagnostics13162632] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 08/05/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
Vascular calcification is the abnormal deposition of calcium phosphate complexes in blood vessels, which is regarded as the pathological basis of multiple cardiovascular diseases. The flowing blood exerts a frictional force called shear stress on the vascular wall. Blood vessels have different hydrodynamic properties due to discrepancies in geometric and mechanical properties. The disturbance of the blood flow in the bending area and the branch point of the arterial tree produces a shear stress lower than the physiological magnitude of the laminar shear stress, which can induce the occurrence of vascular calcification. Endothelial cells sense the fluid dynamics of blood and transmit electrical and chemical signals to the full-thickness of blood vessels. Through crosstalk with endothelial cells, smooth muscle cells trigger osteogenic transformation, involved in mediating vascular intima and media calcification. In addition, based on the detection of fluid dynamics parameters, emerging imaging technologies such as 4D Flow MRI and computational fluid dynamics have greatly improved the early diagnosis ability of cardiovascular diseases, showing extremely high clinical application prospects.
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Affiliation(s)
- Shuwan Xu
- Department of Cardiology, The Eighth Affiliated Hospital of Sun Yat-Sen University, Shenzhen 518033, China; (S.X.); (F.W.); (P.M.)
| | - Feng Wang
- Department of Cardiology, The Eighth Affiliated Hospital of Sun Yat-Sen University, Shenzhen 518033, China; (S.X.); (F.W.); (P.M.)
| | - Peibiao Mai
- Department of Cardiology, The Eighth Affiliated Hospital of Sun Yat-Sen University, Shenzhen 518033, China; (S.X.); (F.W.); (P.M.)
| | - Yanren Peng
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, China; (Y.P.); (X.S.)
| | - Xiaorong Shu
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, China; (Y.P.); (X.S.)
| | - Ruqiong Nie
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, China; (Y.P.); (X.S.)
| | - Huanji Zhang
- Department of Cardiology, The Eighth Affiliated Hospital of Sun Yat-Sen University, Shenzhen 518033, China; (S.X.); (F.W.); (P.M.)
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19
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Maroun A, Quinn S, Dushfunian D, Weiss EK, Allen BD, Carr JC, Markl M. Clinical Applications of Four-Dimensional Flow MRI. Magn Reson Imaging Clin N Am 2023; 31:451-460. [PMID: 37414471 DOI: 10.1016/j.mric.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Four-dimensional flow MRI is a powerful phase contrast technique used for assessing three-dimensional (3D) blood flow dynamics. By acquiring a time-resolved velocity field, it enables flexible retrospective analysis of blood flow that can include qualitative 3D visualization of complex flow patterns, comprehensive assessment of multiple vessels, reliable placement of analysis planes, and calculation of advanced hemodynamic parameters. This technique provides several advantages over routine two-dimensional flow imaging techniques, allowing it to become part of clinical practice at major academic medical centers. In this review, we present the current state-of-the-art cardiovascular, neurovascular, and abdominal applications.
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Affiliation(s)
- Anthony Maroun
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA.
| | - Sandra Quinn
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - David Dushfunian
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Elizabeth K Weiss
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Bradley D Allen
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - James C Carr
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
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20
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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: 42] [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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21
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Juffermans JF, Westenberg JJM, van den Boogaard PJ, Lamb HJ. Effects of ageing on aortic hemodynamics measured by 4D-flow MRI: a case series. Eur Heart J Case Rep 2023; 7:ytad130. [PMID: 37090762 PMCID: PMC10113929 DOI: 10.1093/ehjcr/ytad130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/06/2022] [Accepted: 03/22/2023] [Indexed: 04/25/2023]
Abstract
Background It has been demonstrated that the rate of aortic dilatation is influenced by alteration of aortic hemodynamics, such as normalized flow displacement (FDN) and wall shear stress (WSS). However, the effects of ageing on aortic hemodynamics have not yet been described. Case summary 4D-Flow MRI derived aorta hemodynamics were derived in the ascending aorta of a patient with ascending aortic aneurysm (mean ± standard deviation: 46 ± 1 mm) and a healthy volunteer (aortic diameter 30 ± 1 mm) with long-term follow-up of ten and eight years, respectively. At all timepoints, compared to the healthy volunteer, the patient demonstrated higher magnitudes of FDN (7% ± 1% vs. 3% ± 1%) and WSS angle (36° ± 3° vs. 24° ± 6°), and lower WSS magnitude (565 ± 100 mPa vs. 910 ± 115 mPa), axial WSS (426 ± 71 mPa vs. 800 ± 108 mPa) and circumferential WSS (297 ± 64 mPa vs. 340 ± 85 mPa). The patient and healthy volunteer demonstrated different aortic dilatation rates (regression slope ± standard error: 0.2 ± 0.1 vs. 0.1 ± 0.2 mm per year) and trends in FDN (0.1% ± 0.1% vs. 0.1% ± 0.2% per year), WSS magnitude (22 ± 9 vs. 35 ± 13 mPa per year), axial WSS (19 ± 4 vs. 37 ± 7 mPa per year), circumferential WSS (9 ± 8 vs. 5 ± 15 mPa per year), and WSS angle (-0.5° ± 0.4° vs. -0.8° ± 1.0° per year). Discussion Aortic hemodynamic parameters are marginally affected by ageing and the aortic diameter in this case series. Since aortic hemodynamic parameters have been associated with aortic dilation by previous studies, the outcomes of the two subjects suggest that the aortic dilatation rate will remain constant while individuals are ageing and dilating.
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Affiliation(s)
- Joe F Juffermans
- Corresponding author. Tel: +31 71 526 22 33, Fax: +31 71 524 82 56,
| | - Jos J M Westenberg
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Pieter J van den Boogaard
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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22
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Saul P, Schröder L, Schmidt AB, Hövener JB. Nanomaterials for hyperpolarized nuclear magnetic resonance and magnetic resonance imaging. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2023:e1879. [PMID: 36781151 DOI: 10.1002/wnan.1879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 01/03/2023] [Accepted: 01/07/2023] [Indexed: 02/15/2023]
Abstract
Nanomaterials play an important role in the development and application of hyperpolarized materials for magnetic resonance imaging (MRI). In this context they can not only act as hyperpolarized materials which are directly imaged but also play a role as carriers for hyperpolarized gases and catalysts for para-hydrogen induced polarization (PHIP) to generate hyperpolarized substrates for metabolic imaging. Those three application possibilities are discussed, focusing on carbon-based materials for the directly imaged particles. An overview over recent developments in all three fields is given, including the early developments in each field as well as important steps towards applications in MRI, such as making the initially developed methods more biocompatible and first imaging experiments with spatial resolution in either phantoms or in vivo studies. Focusing on the important features nanomaterials need to display to be applicable in the MRI context, a wide range of different approaches to that extent is covered, giving the reader a general idea of different possibilities as well as recent developments in those different fields of hyperpolarized magnetic resonance. This article is categorized under: Therapeutic Approaches and Drug Discovery > Emerging Technologies Diagnostic Tools > In Vivo Nanodiagnostics and Imaging.
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Affiliation(s)
- Philip Saul
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Leif Schröder
- Division of Translational Molecular Imaging, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany.,Molecular Imaging, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany
| | - Andreas B Schmidt
- Intergrative Biosciences (Ibio), Department of Chemistry, Karmanos Cancer Institute (KCI), Wayne State University, Detroit, Michigan, USA.,German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Medical Physics, Department of Radiology, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jan-Bernd Hövener
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
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23
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Moradi H, Al-Hourani A, Concilia G, Khoshmanesh F, Nezami FR, Needham S, Baratchi S, Khoshmanesh K. Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning. Biophys Rev 2023; 15:19-33. [PMID: 36909958 PMCID: PMC9995635 DOI: 10.1007/s12551-022-01040-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 12/21/2022] [Indexed: 01/12/2023] Open
Abstract
Cardiovascular diseases are the leading cause of mortality, morbidity, and hospitalization around the world. Recent technological advances have facilitated analyzing, visualizing, and monitoring cardiovascular diseases using emerging computational fluid dynamics, blood flow imaging, and wearable sensing technologies. Yet, computational cost, limited spatiotemporal resolution, and obstacles for thorough data analysis have hindered the utility of such techniques to curb cardiovascular diseases. We herein discuss how leveraging machine learning techniques, and in particular deep learning methods, could overcome these limitations and offer promise for translation. We discuss the remarkable capacity of recently developed machine learning techniques to accelerate flow modeling, enhance the resolution while reduce the noise and scanning time of current blood flow imaging techniques, and accurate detection of cardiovascular diseases using a plethora of data collected by wearable sensors.
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Affiliation(s)
- Hamed Moradi
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Akram Al-Hourani
- School of Engineering, RMIT University, Melbourne, Victoria Australia
| | | | - Farnaz Khoshmanesh
- School of Allied Health, Human Services & Sport, La Trobe University, Melbourne, Victoria Australia
| | - Farhad R. Nezami
- Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Scott Needham
- Leading Technology Group, Melbourne, Victoria Australia
| | - Sara Baratchi
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria Australia
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24
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Hurd ER, Iffrig E, Jiang D, Oshinski JN, Timmins LH. Flow-based method demonstrates improved accuracy for calculating wall shear stress in arterial flows from 4D flow MRI data. J Biomech 2023; 146:111413. [PMID: 36535100 PMCID: PMC9845191 DOI: 10.1016/j.jbiomech.2022.111413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/30/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
Four-dimensional flow magnetic resonance imaging (i.e., 4D flow MRI) has become a valuable tool for the in vivo assessment of blood flow within large vessels and cardiac chambers. As wall shear stress (WSS) has been correlated with the development and progression of cardiovascular disease, focus has been directed at developing techniques to quantify WSS directly from 4D flow MRI data. The goal of this study was to compare the accuracy of two such techniques - termed the velocity and flow-based methods - in the setting of simplified and complex flow scenarios. Synthetic MR data were created from exact solutions to the Navier-Stokes equations for the steady and pulsatile flow of an incompressible, Newtonian fluid through a rigid cylinder. In addition, synthetic MR data were created from the predicted velocity fields derived from a fluid-structure interaction (FSI) model of pulsatile flow through a thick-walled, multi-layered model of the carotid bifurcation. Compared to the analytical solutions for steady and pulsatile flow, the flow-based method demonstrated greater accuracy than the velocity-based method in calculating WSS across all changes in fluid velocity/flow rate, tube radius, and image signal-to-noise (p < 0.001). Furthermore, the velocity-based method was more sensitive to boundary segmentation than the flow-based method. When compared to results from the FSI model, the flow-based method demonstrated greater accuracy than the velocity-based method with average differences in time-averaged WSS of 0.31 ± 1.03 Pa and 0.45 ± 1.03 Pa, respectively (p <0.005). These results have implications on the utility, accuracy, and clinical translational of methods to determine WSS from 4D flow MRI.
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Affiliation(s)
- Elliott R Hurd
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Elizabeth Iffrig
- Division of Allergy, Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
| | - David Jiang
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - John N Oshinski
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Lucas H Timmins
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA.
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25
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Bustamante M, Viola F, Engvall J, Carlhäll C, Ebbers T. Automatic Time-Resolved Cardiovascular Segmentation of 4D Flow MRI Using Deep Learning. J Magn Reson Imaging 2023; 57:191-203. [PMID: 35506525 PMCID: PMC10946960 DOI: 10.1002/jmri.28221] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Segmenting the whole heart over the cardiac cycle in 4D flow MRI is a challenging and time-consuming process, as there is considerable motion and limited contrast between blood and tissue. PURPOSE To develop and evaluate a deep learning-based segmentation method to automatically segment the cardiac chambers and great thoracic vessels from 4D flow MRI. STUDY TYPE Retrospective. SUBJECTS A total of 205 subjects, including 40 healthy volunteers and 165 patients with a variety of cardiac disorders were included. Data were randomly divided into training (n = 144), validation (n = 20), and testing (n = 41) sets. FIELD STRENGTH/SEQUENCE A 3 T/time-resolved velocity encoded 3D gradient echo sequence (4D flow MRI). ASSESSMENT A 3D neural network based on the U-net architecture was trained to segment the four cardiac chambers, aorta, and pulmonary artery. The segmentations generated were compared to manually corrected atlas-based segmentations. End-diastolic (ED) and end-systolic (ES) volumes of the four cardiac chambers were calculated for both segmentations. STATISTICAL TESTS Dice score, Hausdorff distance, average surface distance, sensitivity, precision, and miss rate were used to measure segmentation accuracy. Bland-Altman analysis was used to evaluate agreement between volumetric parameters. RESULTS The following evaluation metrics were computed: mean Dice score (0.908 ± 0.023) (mean ± SD), Hausdorff distance (1.253 ± 0.293 mm), average surface distance (0.466 ± 0.136 mm), sensitivity (0.907 ± 0.032), precision (0.913 ± 0.028), and miss rate (0.093 ± 0.032). Bland-Altman analyses showed good agreement between volumetric parameters for all chambers. Limits of agreement as percentage of mean chamber volume (LoA%), left ventricular: 9.3%, 13.5%, left atrial: 12.4%, 16.9%, right ventricular: 9.9%, 15.6%, and right atrial: 18.7%, 14.4%; for ED and ES, respectively. DATA CONCLUSION The addition of this technique to the 4D flow MRI assessment pipeline could expedite and improve the utility of this type of acquisition in the clinical setting. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Mariana Bustamante
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring SciencesLinköping UniversityLinköpingSweden
- Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden
| | - Federica Viola
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring SciencesLinköping UniversityLinköpingSweden
| | - Jan Engvall
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring SciencesLinköping UniversityLinköpingSweden
- Department of Clinical Physiology in Linköping, Department of Health, Medicine and Caring SciencesLinköping UniversityLinköpingSweden
| | - Carl‐Johan Carlhäll
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring SciencesLinköping UniversityLinköpingSweden
- Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden
- Department of Clinical Physiology in Linköping, Department of Health, Medicine and Caring SciencesLinköping UniversityLinköpingSweden
| | - Tino Ebbers
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring SciencesLinköping UniversityLinköpingSweden
- Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden
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26
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Montalt-Tordera J, Steeden JA, Muthurangu V. Editorial for "Automatic Time-Resolved Cardiovascular Segmentation of 4D Flow MRI Using Deep Learning". J Magn Reson Imaging 2023; 57:204-205. [PMID: 35510802 DOI: 10.1002/jmri.28220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 04/12/2022] [Indexed: 02/03/2023] Open
Affiliation(s)
| | - Jennifer A Steeden
- UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Vivek Muthurangu
- UCL Institute of Cardiovascular Science, University College London, London, UK
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27
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Zhao X, Leng S, Tan RS, Chai P, Yeo TJ, Bryant JA, Teo LLS, Fortier MV, Ruan W, Low TT, Ong CC, Zhang S, van der Geest RJ, Allen JC, Hughes M, Garg P, Tan TH, Yip JW, Tan JL, Zhong L. Right ventricular energetic biomarkers from 4D Flow CMR are associated with exertional capacity in pulmonary arterial hypertension. J Cardiovasc Magn Reson 2022; 24:61. [PMID: 36451198 PMCID: PMC9714144 DOI: 10.1186/s12968-022-00896-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 10/19/2022] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) offers comprehensive right ventricular (RV) evaluation in pulmonary arterial hypertension (PAH). Emerging four-dimensional (4D) flow CMR allows visualization and quantification of intracardiac flow components and calculation of phasic blood kinetic energy (KE) parameters but it is unknown whether these parameters are associated with cardiopulmonary exercise test (CPET)-assessed exercise capacity, which is a surrogate measure of survival in PAH. We compared 4D flow CMR parameters in PAH with healthy controls, and investigated the association of these parameters with RV remodelling, RV functional and CPET outcomes. METHODS PAH patients and healthy controls from two centers were prospectively enrolled to undergo on-site cine and 4D flow CMR, and CPET within one week. RV remodelling index was calculated as the ratio of RV to left ventricular (LV) end-diastolic volumes (EDV). Phasic (peak systolic, average systolic, and peak E-wave) LV and RV blood flow KE indexed to EDV (KEIEDV) and ventricular LV and RV flow components (direct flow, retained inflow, delayed ejection flow, and residual volume) were calculated. Oxygen uptake (VO2), carbon dioxide production (VCO2) and minute ventilation (VE) were measured and recorded. RESULTS 45 PAH patients (46 ± 11 years; 7 M) and 51 healthy subjects (46 ± 14 years; 17 M) with no significant differences in age and gender were analyzed. Compared with healthy controls, PAH had significantly lower median RV direct flow, RV delayed ejection flow, RV peak E-wave KEIEDV, peak VO2, and percentage (%) predicted peak VO2, while significantly higher median RV residual volume and VE/VCO2 slope. RV direct flow and RV residual volume were significantly associated with RV remodelling, function, peak VO2, % predicted peak VO2 and VE/VCO2 slope (all P < 0.01). Multiple linear regression analyses showed RV direct flow to be an independent marker of RV function, remodelling and exercise capacity. CONCLUSION In this 4D flow CMR and CPET study, RV direct flow provided incremental value over RVEF for discriminating adverse RV remodelling, impaired exercise capacity, and PAH with intermediate and high risk based on risk score. These data suggest that CMR with 4D flow CMR can provide comprehensive assessment of PAH severity, and may be used to monitor disease progression and therapeutic response. TRIAL REGISTRATION NUMBER https://www. CLINICALTRIALS gov . Unique identifier: NCT03217240.
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Affiliation(s)
- Xiaodan Zhao
- National Heart Centre Singapore, National Heart Research Institute Singapore, Singapore, Singapore
| | - Shuang Leng
- National Heart Centre Singapore, National Heart Research Institute Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Ru-San Tan
- National Heart Centre Singapore, National Heart Research Institute Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Ping Chai
- National University Hospital Singapore, Singapore, Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Tee Joo Yeo
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jennifer Ann Bryant
- National Heart Centre Singapore, National Heart Research Institute Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Lynette L S Teo
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Marielle V Fortier
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore
| | - Wen Ruan
- National Heart Centre Singapore, National Heart Research Institute Singapore, Singapore, Singapore
| | - Ting Ting Low
- National University Hospital Singapore, Singapore, Singapore
| | - Ching Ching Ong
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shuo Zhang
- Philips Healthcare Germany, Hamburg, Germany
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Marina Hughes
- Department of Cardiovascular Medicine, University of East Anglia, Norwich, UK
| | - Pankaj Garg
- Department of Cardiovascular Medicine, University of East Anglia, Norwich, UK
| | - Teng Hong Tan
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
| | - James W Yip
- National University Hospital Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ju Le Tan
- National Heart Centre Singapore, National Heart Research Institute Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Liang Zhong
- National Heart Centre Singapore, National Heart Research Institute Singapore, Singapore, Singapore.
- Duke-NUS Medical School, Singapore, Singapore.
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Bai X, Fu M, Li Z, Gao P, Zhao H, Li R, Sui B. Distribution and regional variation of wall shear stress in the curved middle cerebral artery using four-dimensional flow magnetic resonance imaging. Quant Imaging Med Surg 2022; 12:5462-5473. [PMID: 36465823 PMCID: PMC9703110 DOI: 10.21037/qims-22-67] [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: 01/24/2022] [Accepted: 08/30/2022] [Indexed: 12/05/2023]
Abstract
BACKGROUND To investigate the distribution and regional variation of wall shear stress (WSS) in the curved middle cerebral artery (MCA) in healthy individuals using four-dimensional (4D) flow magnetic resonance imaging (MRI). METHODS A total of 44 healthy participants (18 males; mean ages: 27.16±5.69 years) were included in this cross-sectional study. The WSS parameters of mean, minimum, and maximum values, the coefficient of variation of time-averaged WSS (TAWSSCV), and the maximum values of the oscillatory shear index (OSI) were calculated and compared in the curved proximal (M1) segments. Three cross-sectional planes were selected: the location perpendicular to the beginning of the long axis of the curved M1 segment of the MCA (proximal section), the most curved M1 location (curved M1 section), and the location before the insular (M2) segment bifurcation (distal section). The WSS and OSI parameters of the proximal, curved, and distal sections of the curved M1 segment were compared, including the inner and outer curvatures of the curved M1 section. RESULTS Of the curved M1 segments, the curved M1 section had significantly lower minimum TAWSS values than the proximal (P=0.031) and distal sections (P=0.002), and the curved M1 section had significantly higher maximum OSI values than the distal section (P=0.001). The TAWSSCV values at the curved M1 section were significantly higher than the proximal (P=0.001) and distal sections (P<0.001). At the curved M1 section, the inner curvature showed a significantly lower minimum TAWSS (P=0.013) and higher maximum OSI values (P=0.002) than the outer curvature. CONCLUSIONS There are distribution variation of WSS and OSI parameters at the curved M1 section of the curved MCA, and the inner curvature of the curved M1 section has the lowest WSS and highest OSI distribution. The local hemodynamic features of the curved MCA may be related to the predilection for atherosclerotic plaque development.
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Affiliation(s)
- Xiaoyan Bai
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mingzhu Fu
- Center for Biomedical Imaging Research, Biomedical Engineering Department, School of Medicine, Tsinghua University, Beijing, China
| | - Zhiye Li
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Peiyi Gao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haiqing Zhao
- Department of Radiology, Beijing Chui Yang Liu Hospital, Beijing, China
| | - Rui Li
- Center for Biomedical Imaging Research, Biomedical Engineering Department, School of Medicine, Tsinghua University, Beijing, China
| | - Binbin Sui
- Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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29
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Bane O, Stocker D, Kennedy P, Hectors SJ, Bollache E, Schnell S, Schiano T, Thung S, Fischman A, Markl M, Taouli B. 4D flow MRI in abdominal vessels: prospective comparison of k-t accelerated free breathing acquisition to standard respiratory navigator gated acquisition. Sci Rep 2022; 12:19886. [PMID: 36400918 PMCID: PMC9674613 DOI: 10.1038/s41598-022-23864-9] [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: 06/08/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022] Open
Abstract
Volumetric phase-contrast magnetic resonance imaging with three-dimensional velocity encoding (4D flow MRI) has shown utility as a non-invasive tool to examine altered blood flow in chronic liver disease. Novel 4D flow MRI pulse sequences with spatio-temporal acceleration can mitigate the long acquisition times of standard 4D flow MRI, which are an impediment to clinical adoption. The purpose of our study was to demonstrate feasibility of a free-breathing, spatio-temporal (k-t) accelerated 4D flow MRI acquisition for flow quantification in abdominal vessels and to compare its image quality, flow quantification and inter-observer reproducibility with a standard respiratory navigator-gated 4D flow MRI acquisition. Ten prospectively enrolled patients (M/F: 7/3, mean age = 58y) with suspected portal hypertension underwent both 4D flow MRI acquisitions. The k-t accelerated acquisition was approximately three times faster (3:11 min ± 0:12 min/9:17 min ± 1:41 min, p < 0.001) than the standard respiratory-triggered acquisition. Vessel identification agreement was substantial between acquisitions and observers. Average flow had substantial inter-sequence agreement in the portal vein and aorta (CV < 15%) and poorer agreement in hepatic and splenic arteries (CV = 11-38%). The k-t accelerated acquisition recorded reduced velocities in small arteries and reduced splenic vein flow. Respiratory gating combined with increased acceleration and spatial resolution are needed to improve flow measurements in these vessels.
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Affiliation(s)
- Octavia Bane
- grid.59734.3c0000 0001 0670 2351Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Daniel Stocker
- grid.59734.3c0000 0001 0670 2351Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Paul Kennedy
- grid.59734.3c0000 0001 0670 2351Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Stefanie J. Hectors
- grid.59734.3c0000 0001 0670 2351Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Emilie Bollache
- grid.16753.360000 0001 2299 3507Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA ,grid.7429.80000000121866389Laboratoire d’Imagerie Biomédicale, INSERM, Paris, France
| | - Susanne Schnell
- grid.16753.360000 0001 2299 3507Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA ,grid.5603.0Department of Medical Physics, Universität Greifswald, Greifswald, Germany
| | - Thomas Schiano
- grid.59734.3c0000 0001 0670 2351Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Swan Thung
- grid.59734.3c0000 0001 0670 2351Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Aaron Fischman
- grid.59734.3c0000 0001 0670 2351Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA
| | - Michael Markl
- grid.16753.360000 0001 2299 3507Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA ,grid.16753.360000 0001 2299 3507Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Bachir Taouli
- grid.59734.3c0000 0001 0670 2351Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
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30
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Tang CX, Zhou Z, Zhang JY, Xu L, Lv B, Jiang Zhang L. Cardiovascular Imaging in China: Yesterday, Today, and Tomorrow. J Thorac Imaging 2022; 37:355-365. [PMID: 36162066 DOI: 10.1097/rti.0000000000000678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The high prevalence and mortality of cardiovascular diseases in China's large population has increased the use of cardiovascular imaging for the assessment of conditions in recent years. In this study, we review the past 20 years of cardiovascular imaging in China, the increasingly important role played by cardiovascular computed tomography in coronary artery disease and pulmonary embolism assessment, magnetic resonance imaging's use for cardiomyopathy assessment, the development and application of artificial intelligence in cardiovascular imaging, and the future of Chinese cardiovascular imaging.
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Affiliation(s)
- Chun Xiang Tang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
| | - Zhen Zhou
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University
| | - Jia Yin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University
| | - Bin Lv
- Department of Radiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences
- State Key Laboratory and National Center for Cardiovascular Diseases, Beijing
| | - Long Jiang Zhang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province
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31
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Sun X, Ni HB, Xue J, Wang S, Aljbri A, Wang L, Ren TH, Li X, Niu M. Bibliometric-analysis visualization and review of non-invasive methods for monitoring and managing the portal hypertension. Front Med (Lausanne) 2022; 9:960316. [PMID: 36186776 PMCID: PMC9520322 DOI: 10.3389/fmed.2022.960316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundPortal hypertension monitoring is important throughout the natural course of cirrhosis. Hepatic venous pressure gradient (HVPG), regarded as the golden standard, is limited by invasiveness and technical difficulties. Portal hypertension is increasingly being assessed non-invasively, and hematological indices, imaging data, and statistical or computational models are studied to surrogate HVPG. This paper discusses the existing non-invasive methods based on measurement principles and reviews the methodological developments in the last 20 years.MethodsFirst, we used VOSviewer to learn the architecture of this field. The publications about the non-invasive assessment of portal hypertension were retrieved from the Web of Science Core Collection (WoSCC). VOSviewer 1.6.17.0 was used to analyze and visualize these publications, including the annual trend, the study hotspots, the significant articles, authors, journals, and organizations in this field. Next, according to the cluster analysis result of the keywords, we further retrieved and classified the related studies to discuss.ResultsA total of 1,088 articles or review articles about our topic were retrieved from WoSCC. From 2000 to 2022, the number of publications is generally growing. “World Journal of Gastroenterology” published the most articles (n = 43), while “Journal of Hepatology” had the highest citations. “Liver fibrosis” published in 2005 was the most influential manuscript. Among the 20,558 cited references of 1,088 retrieved manuscripts, the most cited was a study on liver stiffness measurement from 2007. The highest-yielding country was the United States, followed by China and Italy. “Berzigotti, Annalisa” was the most prolific author and had the most cooperation partners. Four study directions emerged from the keyword clustering: (1) the evaluation based on fibrosis; (2) the evaluation based on hemodynamic factors; (3) the evaluation through elastography; and (4) the evaluation of variceal bleeding.ConclusionThe non-invasive assessment of portal hypertension is mainly based on two principles: fibrosis and hemodynamics. Liver fibrosis is the major initiator of cirrhotic PH, while hemodynamic factors reflect secondary alteration of splanchnic blood flow. Blood tests, US (including DUS and CEUS), CT, and magnetic resonance imaging (MRI) support the non-invasive assessment of PH by providing both hemodynamic and fibrotic information. Elastography, mainly USE, is the most important method of PH monitoring.
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Affiliation(s)
- XiaoHan Sun
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Hong Bo Ni
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Jian Xue
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Shuai Wang
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Afaf Aljbri
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Liuchun Wang
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Tian Hang Ren
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Xiao Li
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Xiao Li,
| | - Meng Niu
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
- Meng Niu,
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Gorecka M, Bissell MM, Higgins DM, Garg P, Plein S, Greenwood JP. Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review. J Cardiovasc Magn Reson 2022; 24:49. [PMID: 35989320 PMCID: PMC9394062 DOI: 10.1186/s12968-022-00882-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 08/04/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Accurate evaluation of valvular pathology is crucial in the timing of surgical intervention. Whilst transthoracic echocardiography is widely available and routinely used in the assessment of valvular heart disease, it is bound by several limitations. Although cardiovascular magnetic resonance (CMR) imaging can overcome many of the challenges encountered by echocardiography, it also has a number of limitations. MAIN TEXT 4D Flow CMR is a novel technique, which allows time-resolved, 3-dimensional imaging. It enables visualisation and direct quantification of flow and peak velocities of all valves simultaneously in one simple acquisition, without any geometric assumptions. It also has the unique ability to measure advanced haemodynamic parameters such as turbulent kinetic energy, viscous energy loss rate and wall shear stress, which may add further diagnostic and prognostic information. Although 4D Flow CMR acquisition can take 5-10 min, emerging acceleration techniques can significantly reduce scan times, making 4D Flow CMR applicable in contemporary clinical practice. CONCLUSION 4D Flow CMR is an emerging CMR technique, which has the potential to become the new reference-standard method for the evaluation of valvular lesions. In this review, we describe the clinical applications, advantages and disadvantages of 4D Flow CMR in the assessment of valvular heart disease.
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Affiliation(s)
- Miroslawa Gorecka
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Malenka M Bissell
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | | | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
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33
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Fu M, Peng F, Zhang M, Chen S, Niu H, He X, Xu B, Liu A, Li R. Aneurysmal wall enhancement and hemodynamics: pixel-level correlation between spatial distribution. Quant Imaging Med Surg 2022; 12:3692-3704. [PMID: 35782262 PMCID: PMC9246729 DOI: 10.21037/qims-21-1203] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 03/29/2022] [Indexed: 03/22/2024]
Abstract
BACKGROUND Inflammation and hemodynamics are interrelated risk factors for intracranial aneurysm rupture. This study aimed to identify the relationship between these risk factors from an individual-patient perspective using biomarkers of aneurysm wall enhancement (AWE) derived from high-resolution magnetic resonance imaging (HR-MRI) and hemodynamic parameters by four-dimensional flow MRI (4D-flow MRI). METHODS A total of 29 patients with 29 unruptured intracranial aneurysms larger than 4 mm were included in this prospective cross-sectional study. A total of 24 aneurysms had AWE and 5 did not have AWE. A three-dimensional (3D) vessel model of each individual aneurysm was generated with 3D time-of-flight magnetic resonance angiography (3D TOF-MRA). Quantification of AWE was sampled with HR-MRI. Time-averaged wall shear stress (WSS) and oscillatory shear index (OSI) were calculated from the 4D-flow MRI. The correlation between spatial distribution of AWE and hemodynamic parameters measured at pixel-level was evaluated for each aneurysm. RESULTS In aneurysms with AWE, the spatial distribution of WSS was negatively correlated with AWE in 100% (24/24) of aneurysms, though 2 had an absolute value of the correlation coefficient <0.1. The OSI was positively correlated with AWE in 91.7% (22/24) of aneurysms; the other 2 aneurysms showed a negative correlation with AWE. In aneurysms with no AWE, there was no correlation between WSS (100%, 5/5), OSI (80%, 4/5), and wall inflammation. CONCLUSIONS The spatial distribution of WSS was negatively correlated with AWE in aneurysms with AWE, and OSI was positively correlated with AWE in most aneurysms with AWE. While aneurysms that did not contain AWE showed no correlation between hemodynamics and wall inflammation.
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Affiliation(s)
- Mingzhu Fu
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Fei Peng
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Miaoqi Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hao Niu
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiaoxin He
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Boya Xu
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Aihua Liu
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Rui Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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34
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Chu S, Kilinc O, Pradella M, Weiss E, Baraboo J, Maroun A, Jarvis K, Mehta CK, Malaisrie SC, Hoel AW, Carr JC, Markl M, Allen BD. Baseline 4D Flow-Derived in vivo Hemodynamic Parameters Stratify Descending Aortic Dissection Patients With Enlarging Aortas. Front Cardiovasc Med 2022; 9:905718. [PMID: 35757320 PMCID: PMC9218246 DOI: 10.3389/fcvm.2022.905718] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 05/16/2022] [Indexed: 12/02/2022] Open
Abstract
Purpose The purpose of our study was to assess the value of true lumen and false lumen hemodynamics compared to aortic morphological measurements for predicting adverse-aorta related outcomes (AARO) and aortic growth in patients with type B aortic dissection (TBAD). Materials and Methods Using an IRB approved protocol, we retrospectively identified patients with descending aorta (DAo) dissection at a large tertiary center. Inclusion criteria includes known TBAD with ≥ 6 months of clinical follow-up after initial presentation for TBAD or after ascending aorta intervention for patients with repaired type A dissection with residual type B aortic dissection (rTAAD). Patients with prior descending aorta intervention were excluded. The FL and TL of each patient were manually segmented from 4D flow MRI data, and 3D parametric maps of aortic hemodynamics were generated. Groups were divided based on (1) presence vs. absence of AARO and (2) growth rate ≥ vs. < 3 mm/year. True and false lumen kinetic energy (KE), stasis, peak velocity (PV), reverse/forward flow (RF/FF), FL to TL KE ratio, as well as index aortic diameter were compared between groups using the Mann–Whitney U or independent t-test. Results A total of n = 51 patients (age: 58.4 ± 15.0 years, M/F: 31/20) were included for analysis of AARO. This group contained n = 26 patients with TBAD and n = 25 patients with rTAAD. In the overall cohort, AARO patients had larger baseline diameters, lower FL-RF, FL stasis, TL-KE, TL-FF and TL-PV. Among patients with de novo TBAD, those with AAROs had larger baseline diameter, lower FL stasis and TL-PV. In both the overall cohort and in the subgroup of de novo TBAD, subjects with aortic growth ≥ 3mm/year, patients had a higher KE ratio. Conclusion Our study suggests that 4D flow MRI is a promising tool for TBAD evaluation that can provide information beyond traditional MRA or CTA. 4D flow has the potential to become an integral aspect of TBAD work-up, as hemodynamic assessment may allow earlier identification of at-risk patients who could benefit from earlier intervention.
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Affiliation(s)
- Stanley Chu
- Department of Radiology, Northwestern University, Chicago, IL, United States
| | - Ozden Kilinc
- Department of Radiology, Northwestern University, Chicago, IL, United States
| | - Maurice Pradella
- Department of Radiology, Northwestern University, Chicago, IL, United States
| | - Elizabeth Weiss
- Department of Radiology, Northwestern University, Chicago, IL, United States.,Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
| | - Justin Baraboo
- Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
| | - Anthony Maroun
- Department of Radiology, Northwestern University, Chicago, IL, United States
| | - Kelly Jarvis
- Department of Radiology, Northwestern University, Chicago, IL, United States.,Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
| | - Christopher K Mehta
- Department of Surgery (Cardiac Surgery), Northwestern University, Chicago, IL, United States
| | - S Chris Malaisrie
- Department of Surgery (Cardiac Surgery), Northwestern University, Chicago, IL, United States
| | - Andrew W Hoel
- Department of Surgery (Vascular Surgery), Northwestern University, Chicago, IL, United States
| | - James C Carr
- Department of Radiology, Northwestern University, Chicago, IL, United States
| | - Michael Markl
- Department of Radiology, Northwestern University, Chicago, IL, United States.,Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
| | - Bradley D Allen
- Department of Radiology, Northwestern University, Chicago, IL, United States
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35
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Garay J, Mella H, Sotelo J, Cárcamo C, Uribe S, Bertoglio C, Mura J. Assessment of 4D flow MRI's quality by verifying its Navier-Stokes compatibility. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2022; 38:e3603. [PMID: 35434919 PMCID: PMC9285816 DOI: 10.1002/cnm.3603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/24/2022] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
4D Flow Magnetic Resonance Imaging (MRI) is the state-of-the-art technique to comprehensively measure the complex spatio-temporal and multidirectional patterns of blood flow. However, it is subject to artifacts such as noise and aliasing, which due to the 3D and dynamic structure is difficult to detect in clinical practice. In this work, a new mathematical and computational model to determine the quality of 4D Flow MRI is presented. The model is derived by assuming the true velocity satisfies the incompressible Navier-Stokes equations and that can be decomposed by the measurements u→meas plus an extra field w→ . Therefore, a non-linear problem with w→ as unknown arises, which serves as a measure of data quality. A stabilized finite element formulation tailored to this problem is proposed and analyzed. Then, extensive numerical examples-using synthetic 4D Flow MRI data as well as real measurements on experimental phantom and subjects-illustrate the ability to use w→ for assessing the quality of 4D Flow MRI measurements over space and time.
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Affiliation(s)
- Jeremías Garay
- Bernoulli InstituteUniversity of GroningenGroningenThe Netherlands
| | - Hernán Mella
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiagoChile
- Millennium Nucleus in Cardiovascular Magnetic Resonance, Cardio MRSantiagoChile
- Department of Electrical EngineeringPontificia Universidad Católica de ChileSantiagoChile
| | - Julio Sotelo
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiagoChile
- Millennium Nucleus in Cardiovascular Magnetic Resonance, Cardio MRSantiagoChile
- School of Biomedical EngineeringUniversidad de ValparaisoValparaisoChile
- Millennium Institute for Intelligent Healthcare Engineering, iHEALTHSantiagoChile
| | - Cristian Cárcamo
- Bernoulli InstituteUniversity of GroningenGroningenThe Netherlands
- Department of Mathematical EngineeringUniversidad de ConcepciónConcepciónChile
| | - Sergio Uribe
- Biomedical Imaging CenterPontificia Universidad Católica de ChileSantiagoChile
- Millennium Nucleus in Cardiovascular Magnetic Resonance, Cardio MRSantiagoChile
- Millennium Institute for Intelligent Healthcare Engineering, iHEALTHSantiagoChile
- Institute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological SciencesPontificia Universidad Católica de ChileSantiagoChile
- Department of Radiology, Schools of MedicinePontificia Universidad Católica de ChileSantiagoChile
| | | | - Joaquín Mura
- Millennium Nucleus in Cardiovascular Magnetic Resonance, Cardio MRSantiagoChile
- Department of Mechanical EngineeringUniversidad Técnica Federico Santa MaríaSantiagoChile
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36
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Zhao K, Gu W, Liu C, Kong D, Zheng C, Chen W, Li X, Liang Y, Zhou H. Advances in the Understanding of the Complex Role of Venous Sinus Stenosis in Idiopathic Intracranial Hypertension. J Magn Reson Imaging 2022; 56:645-654. [PMID: 35357056 PMCID: PMC9541264 DOI: 10.1002/jmri.28177] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/26/2022] [Accepted: 02/28/2022] [Indexed: 11/16/2022] Open
Abstract
Idiopathic intracranial hypertension (IIH) is a disorder characterized by elevated intracranial pressure (ICP) that predominantly affects young obese women. IIH is a diagnosis of exclusion. That is, if increased ICP is suspected, magnetic resonance imaging and magnetic resonance venography of the brain are recommended to exclude secondary causes. Imaging findings, such as empty sella, orbital findings, meningocele, and encephalocele, are not diagnostic of ICP, nor does their absence exclude ICP either. Therefore, venous manometry is recommended as the gold standard for evaluation, regardless of previous anatomic imaging results. Venous manometry is an invasive examination that is frequently applied to derive physiologic information concerning the nature of the pressure gradient. However, the pathogenesis of IIH has not been fully elucidated. The presence of venous sinus stenosis in a subset of patients has provided some support for the potential mechanisms underlying this condition. Hence, this review provides an up‐to‐date discussion on the potential pathogenic mechanisms of IIH with a special focus on venous sinus stenosis.
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Affiliation(s)
- Kexin Zhao
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Wenjing Gu
- Department of Otorlaryngology, The First Hospital of Jilin University, Changchun, China
| | - Chunmei Liu
- Department of Gynecology, Changchun Obstetrics Gynecology Hospital, Changchun, China
| | - Derui Kong
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Chong Zheng
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Wei Chen
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Xuewei Li
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Yuchen Liang
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Hongwei Zhou
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
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37
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Schick F, Ripa RS, Hansen TW, von Scholten BJ. Editorial: Advanced Cardiovascular Imaging in Diabetes. Front Endocrinol (Lausanne) 2022; 13:848975. [PMID: 35370983 PMCID: PMC8972965 DOI: 10.3389/fendo.2022.848975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Fritz Schick
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Tübingen, Germany
| | - Rasmus Sejersten Ripa
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, Denmark
| | - Tine Willum Hansen
- Complications Research, Steno Diabetes Center Copenhagen (SDCC), Gentofte, Denmark
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38
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Sekine T, Nakaza M, Matsumoto M, Ando T, Inoue T, Sakamoto SI, Maruyama M, Obara M, Leonowicz O, Usuda J, Kumita S. 4D Flow MR Imaging of the Left Atrium: What is Non-physiological Blood Flow in the Cardiac System? Magn Reson Med Sci 2022; 21:293-308. [PMID: 35185085 PMCID: PMC9680542 DOI: 10.2463/mrms.rev.2021-0137] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 01/04/2022] [Indexed: 01/30/2024] Open
Abstract
Most cardiac diseases cause a non-physiological blood flow pattern known as turbulence around the heart and great vessels, which further worsen the disease itself. However, there is no consensus on how blood flow can be defined in disease conditions. Especially, in the left atrium, the fact that vortex flow already exists makes this debate more complicated. 3D time-resolved phase-contrast (4D flow) MRI is expected to be able to capture blood flow patterns from multiple aspects, such as blood flow velocity, stasis, and vortex quantification. Previous studies have confirmed that physiological vortex flow is predominantly induced by the higher-volume flow from the superior left pulmonary vein. In atrial fibrillation, 4D flow MRI reveals a non-physiological blood flow pattern, which information may add value to well-established clinical risk factors. Currently, the research target of LA analysis has also widened to lung surgeons, pulmonary vein stump thrombosis after left upper lobectomy. 4D flow MRI is expected to be utilized for many more variable diseases that are currently unimaginable.
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Affiliation(s)
- Tetsuro Sekine
- Department of Radiology, Nippon Medical School, Musashi Kosugi Hospital, Kawasaki, Kanagawa, Japan
| | - Masatoki Nakaza
- Department of Radiology, Nippon Medical School, Tokyo, Japan
| | - Mitsuo Matsumoto
- Department of Thoracic Surgery, Nippon Medical School, Musashi Kosugi Hospital, Kawasaki, Kanagawa, Japan
| | - Takahiro Ando
- Department of Radiology, Nippon Medical School, Nagayama Hospital, Tokyo, Japan
| | - Tatsuya Inoue
- Department of Thoracic Surgery, Nippon Medical School, Tokyo, Japan
| | - Shun-Ichiro Sakamoto
- Department of Cardiovascular Surgery, Nippon Medical School, Musashi Kosugi Hospital, Kawasaki, Kanagawa, Japan
| | - Mitsunori Maruyama
- Department of Cardiology, Nippon Medical School, Musashi Kosugi Hospital, Kawasaki, Kanagawa, Japan
| | | | | | - Jitsuo Usuda
- Department of Thoracic Surgery, Nippon Medical School, Tokyo, Japan
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Abstract
Alterations in cerebral blood flow are common in several neurological diseases among the elderly including stroke, cerebral small vessel disease, vascular dementia, and Alzheimer's disease. 4D flow magnetic resonance imaging (MRI) is a relatively new technique to investigate cerebrovascular disease, and makes it possible to obtain time-resolved blood flow measurements of the entire cerebral arterial venous vasculature and can be used to derive a repertoire of hemodynamic biomarkers indicative of cerebrovascular health. The information that can be obtained from one single 4D flow MRI scan allows both the investigation of aberrant flow patterns at a focal location in the vasculature as well as estimations of brain-wide disturbances in blood flow. Such focal and global hemodynamic biomarkers show the potential of being sensitive to impending cerebrovascular disease and disease progression and can also become useful during planning and follow-up of interventions aiming to restore a normal cerebral circulation. Here, we describe 4D flow MRI approaches for analyzing the cerebral vasculature. We then survey key hemodynamic biomarkers that can be reliably assessed using the technique. Finally, we highlight cerebrovascular diseases where one or multiple hemodynamic biomarkers are of central interest.
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Affiliation(s)
- Anders Wåhlin
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Anders Eklund
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Jan Malm
- Department of Clinical Science and Neurosciences, Umeå University, Umeå, Sweden
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40
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Alattar Y, Soulat G, Gencer U, Messas E, Bollache E, Kachenoura N, Mousseaux E. Left ventricular diastolic early and late filling quantified from 4D flow magnetic resonance imaging. Diagn Interv Imaging 2022; 103:345-352. [DOI: 10.1016/j.diii.2022.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/17/2022] [Accepted: 02/09/2022] [Indexed: 01/02/2023]
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41
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Ha H, Huh HK, Park KJ, Dyverfeldt P, Ebbers T, Kim DH, Yang DH. In-vitro and In-Vivo Assessment of 4D Flow MRI Reynolds Stress Mapping for Pulsatile Blood Flow. Front Bioeng Biotechnol 2021; 9:774954. [PMID: 34950643 PMCID: PMC8691458 DOI: 10.3389/fbioe.2021.774954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/16/2021] [Indexed: 02/03/2023] Open
Abstract
Imaging hemodynamics play an important role in the diagnosis of abnormal blood flow due to vascular and valvular diseases as well as in monitoring the recovery of normal blood flow after surgical or interventional treatment. Recently, characterization of turbulent blood flow using 4D flow magnetic resonance imaging (MRI) has been demonstrated by utilizing the changes in signal magnitude depending on intravoxel spin distribution. The imaging sequence was extended with a six-directional icosahedral (ICOSA6) flow-encoding to characterize all elements of the Reynolds stress tensor (RST) in turbulent blood flow. In the present study, we aimed to demonstrate the feasibility of full RST analysis using ICOSA6 4D flow MRI under physiological conditions. First, the turbulence analysis was performed through in vitro experiments with a physiological pulsatile flow condition. Second, a total of 12 normal subjects and one patient with severe aortic stenosis were analyzed using the same sequence. The in-vitro study showed that total turbulent kinetic energy (TKE) was less affected by the signal-to-noise ratio (SNR), however, maximum principal turbulence shear stress (MPTSS) and total turbulence production (TP) had a noise-induced bias. Smaller degree of the bias was observed for TP compared to MPTSS. In-vivo study showed that the subject-variability on turbulence quantification was relatively low for the consistent scan protocol. The in vivo demonstration of the stenosis patient showed that the turbulence analysis could clearly distinguish the difference in all turbulence parameters as they were at least an order of magnitude larger than those from the normal subjects.
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Affiliation(s)
- Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, South Korea
| | - Hyung Kyu Huh
- Daegu-Gyeongbuk Medical Innovation Foundation, Medical Device Development Center, Daegu, South Korea
| | - Kyung Jin Park
- Department of Electrical and Electronic Engineering, Yonsei Univeristy, Seoul, South Korea.,Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Petter Dyverfeldt
- Department of Health, Medicine and Caring Science, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Tino Ebbers
- Department of Health, Medicine and Caring Science, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Dae-Hee Kim
- Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Dong Hyun Yang
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
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42
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Saitta S, Guo B, Pirola S, Menichini C, Guo D, Shan Y, Dong Z, Xu XY, Fu W. Qualitative and Quantitative Assessments of Blood Flow on Tears in Type B Aortic Dissection With Different Morphologies. Front Bioeng Biotechnol 2021; 9:742985. [PMID: 34692660 PMCID: PMC8531216 DOI: 10.3389/fbioe.2021.742985] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 09/21/2021] [Indexed: 12/17/2022] Open
Abstract
Objective: The interactions between aortic morphology and hemodynamics play a key role in determining type B aortic dissection (TBAD) progression and remodeling. The study aimed to provide qualitative and quantitative hemodynamic assessment in four different TBAD morphologies based on 4D flow MRI analysis. Materials and Methods: Four patients with different TBAD morphologies underwent CT and 4D flow MRI scans. Qualitative blood flow evaluation was performed by visualizing velocity streamlines and flow directionality near the tears. Quantitative analysis included flow rate, velocity and reverse flow index (RFI) measurements. Statistical analysis was performed to evaluate hemodynamic differences between the true lumen (TL) and false lumen (FL) of patients. Results: Qualitative analysis revealed blood flow splitting near the primary entry tears (PETs), often causing the formation of vortices in the FL. All patients exhibited clear hemodynamic differences between TL and FL, with the TL generally showing higher velocities and flow rates, and lower RFIs. Average velocity magnitude measurements were significantly different for Patient 1 (t = 5.61, p = 0.001), Patient 2 (t = 3.09, p = 0.02) and Patient 4 (t = 2.81, p = 0.03). At follow-up, Patient three suffered from left renal ischemia because of FL collapse. This patient presented a complex morphology with two FLs and marked flow differences between TL and FLs. In Patient 4, left renal artery malperfusion was observed at the 32-months follow-up, due to FL thrombosis growing after PET repair. Conclusion: The study demonstrates the clinical feasibility of using 4D flow MRI in the context of TBAD. Detailed patient-specific hemodynamics assessment before treatment may provide useful insights to better understand this pathology in the future.
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Affiliation(s)
- Simone Saitta
- Department of Chemical Engineering, Imperial College London, London, United Kingdom.,Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Baolei Guo
- Department of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, Shanghai, China
| | - Selene Pirola
- Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | - Claudia Menichini
- Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | - Daqiao Guo
- Department of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, Shanghai, China
| | - Yan Shan
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhihui Dong
- Department of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, Shanghai, China
| | - Xiao Yun Xu
- Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | - Weiguo Fu
- Department of Vascular Surgery, Zhongshan Hospital, Institute of Vascular Surgery, Fudan University, Shanghai, China
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43
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Integrating multi-fidelity blood flow data with reduced-order data assimilation. Comput Biol Med 2021; 135:104566. [PMID: 34157468 DOI: 10.1016/j.compbiomed.2021.104566] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 05/30/2021] [Accepted: 06/08/2021] [Indexed: 11/20/2022]
Abstract
High-fidelity patient-specific modeling of cardiovascular flows and hemodynamics is challenging. Direct blood flow measurement inside the body with in-vivo measurement modalities such as 4D flow magnetic resonance imaging (4D flow MRI) suffer from low resolution and acquisition noise. In-vitro experimental modeling and patient-specific computational fluid dynamics (CFD) models are subject to uncertainty in patient-specific boundary conditions and model parameters. Furthermore, collecting blood flow data in the near-wall region (e.g., wall shear stress) with experimental measurement modalities poses additional challenges. In this study, a computationally efficient data assimilation method called reduced-order modeling Kalman filter (ROM-KF) was proposed, which combined a sequential Kalman filter with reduced-order modeling using a linear model provided by dynamic mode decomposition (DMD). The goal of ROM-KF was to overcome low resolution and noise in experimental and uncertainty in CFD modeling of cardiovascular flows. The accuracy of the method was assessed with 1D Womersley flow, 2D idealized aneurysm, and 3D patient-specific cerebral aneurysm models. Synthetic experimental data were used to enable direct quantification of errors using benchmark datasets. The accuracy of ROM-KF in reconstructing near-wall hemodynamics was assessed by applying the method to problems where near-wall blood flow data were missing in the experimental dataset. The ROM-KF method provided blood flow data that were more accurate than the computational and synthetic experimental datasets and improved near-wall hemodynamics quantification.
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44
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Kageyama K, Yamamoto A, Jogo A, Izuta S, Himoto D, Kakimi A, Sohgawa E, Miki Y. Visualization of flow dynamics in the portal circulation using 320-detector-row computed tomography: a feasibility study. Eur Radiol Exp 2021; 5:1. [PMID: 33432529 PMCID: PMC7801554 DOI: 10.1186/s41747-020-00197-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/26/2020] [Indexed: 11/21/2022] Open
Abstract
Multidetector row computed tomography (CT) scanners perform dynamic scanning and have a wide scan range. Time-resolved three-dimensional CT (i.e., 4D CT) has recently enabled visualization of flow in neurovascular vessels. We hypothesized that 4D CT technology would be a useful and non-invasive method for visualizing the flow dynamics of the portal circulation. The aim of this study was to evaluate the technical feasibility of 4D CT for visualizing flow dynamics in the portal circulation using 320-detector-row CT. 4D CT images of 18 consecutive patients with portal circulation including gastrorenal shunt were retrospectively evaluated for their ability to generate flow dynamics of the portal circulation. Flow dynamics could be visualized by 4D CT in 68 of the 72 vessels in the portal vein, splenic vein, superior mesenteric vein, and gastrorenal shunt. Flow direction could not be identified in four vessels, all of them being superior mesenteric veins. Flow direction was recognized on 4D CT in the 68 vessels of the portal circulation. A preliminary validation study revealed that flow direction of all 19 vessels in the portal circulation had concordance between 4D CT and color Doppler ultrasound. 4D CT could visualize flow dynamics of the portal circulation.
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Affiliation(s)
- Ken Kageyama
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Akira Yamamoto
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
| | - Atsushi Jogo
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
| | - Shinichiro Izuta
- Department of Central Radiology, Osaka City University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan
| | - Daisuke Himoto
- Department of Central Radiology, Osaka City University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan
| | - Akihiko Kakimi
- Department of Central Radiology, Osaka City University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan
| | - Etsuji Sohgawa
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
| | - Yukio Miki
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan
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45
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Kennedy P, Bane O, Hectors SJ, Fischman A, Schiano T, Lewis S, Taouli B. Noninvasive imaging assessment of portal hypertension. Abdom Radiol (NY) 2020; 45:3473-3495. [PMID: 32926209 PMCID: PMC10124623 DOI: 10.1007/s00261-020-02729-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 08/16/2020] [Accepted: 08/30/2020] [Indexed: 02/07/2023]
Abstract
Portal hypertension (PH) is a spectrum of complications of chronic liver disease (CLD) and cirrhosis, with manifestations including ascites, gastroesophageal varices, splenomegaly, hypersplenism, hepatic hydrothorax, hepatorenal syndrome, hepatopulmonary syndrome and portopulmonary hypertension. PH can vary in severity and is diagnosed via invasive hepatic venous pressure gradient measurement (HVPG), which is considered the reference standard. Accurate diagnosis of PH and assessment of severity are highly relevant as patients with clinically significant portal hypertension (CSPH) are at higher risk for developing acute variceal bleeding and mortality. In this review, we discuss current and upcoming noninvasive imaging methods for diagnosis and assessment of severity of PH.
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46
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Catapano F, Pambianchi G, Cundari G, Rebelo J, Cilia F, Carbone I, Catalano C, Francone M, Galea N. 4D flow imaging of the thoracic aorta: is there an added clinical value? Cardiovasc Diagn Ther 2020; 10:1068-1089. [PMID: 32968661 DOI: 10.21037/cdt-20-452] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Four-dimensional (4D) flow MRI has emerged as a powerful non-invasive technique in cardiovascular imaging, enabling to analyse in vivo complex flow dynamics models by quantifying flow parameters and derived features. Deep knowledge of aortic flow dynamics is fundamental to better understand how abnormal flow patterns may promote or worsen vascular diseases. In the perspective of an increasingly personalized and preventive medicine, growing interest is focused on identifying those quantitative functional features which are early predictive markers of pathological evolution. The thoracic aorta and its spectrum of diseases, as the first area of application and development of 4D flow MRI and supported by an extensive experimental validation, represents the ideal model to introduce this technique into daily clinical practice. The purpose of this review is to describe the impact of 4D flow MRI in the assessment of the thoracic aorta and its most common affecting diseases, providing an overview of the actual clinical applications and describing the potential role of derived advanced hemodynamic measures in tailoring follow-up and treatment.
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Affiliation(s)
- Federica Catapano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Giacomo Pambianchi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Giulia Cundari
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - João Rebelo
- Department of Radiology, Centro Hospitalar São João, Alameda Prof. Hernâni Monteiro, Porto, Portugal
| | - Francesco Cilia
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Iacopo Carbone
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Marco Francone
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Nicola Galea
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.,Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
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