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Koo HJ, Ha H, Lee GH, Lee JE, Park SH, Park KJ, Kang JW, Yang DH. Evaluation of Aortic Diseases Using Four-Dimensional Flow Magnetic Resonance Imaging. Vasc Specialist Int 2024; 40:41. [PMID: 39690708 DOI: 10.5758/vsi.240066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 08/29/2024] [Accepted: 10/03/2024] [Indexed: 12/19/2024] Open
Abstract
The complex hemodynamic environment within the aortic lumen plays a crucial role in the progression of aortic diseases such as aneurysms and dissections. Traditional imaging modalities often fail to provide comprehensive flow dynamics that are essential for precise risk assessment and timely intervention. The advent of time-resolved, three-dimensional (3D) phase-contrast magnetic resonance imaging (4D flow MRI) has revolutionized the evaluation of aortic diseases by allowing a detailed visualizations of flow patterns and quantification of hemodynamic parameters. This review explores the utility of 4D flow MRI in the assessment of thoracic aortic diseases, highlighting the key hemodynamic parameters, including flow velocity, wall shear stress, oscillatory shear index, relative residence time, vortex, turbulent kinetic energy, flow displacement, pulse wave velocity, aortic distensibility, energy loss, and stasis. We elucidate the significant findings of studies utilizing 4D flow MRI in the context of aortic aneurysms and dissections, highlighting its role in enhancing our understanding of disease mechanisms and improving clinical outcomes. This review underscores the potential of 4D flow MRI to refine risk stratification and guide therapeutic decisions, ultimately contributing to better management of aortic diseases.
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Affiliation(s)
- Hyun Jung Koo
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hojin Ha
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, Korea
| | - Gyu-Han Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Institute of Medical Devices, Kangwon National University, Chuncheon, Korea
| | - Jong En Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sang-Hyub Park
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyoung-Jin Park
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
| | - Joon-Won Kang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Dong Hyun Yang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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Li R, Assadi HS, Zhao X, Matthews G, Mehmood Z, Grafton-Clarke C, Limbachia V, Hall R, Kasmai B, Hughes M, Thampi K, Hewson D, Stamatelatou M, Swoboda PP, Swift AJ, Alabed S, Nair S, Spohr H, Curtin J, Gurung-Koney Y, van der Geest RJ, Vassiliou VS, Zhong L, Garg P. Automated Quantification of Simple and Complex Aortic Flow Using 2D Phase Contrast MRI. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1618. [PMID: 39459405 PMCID: PMC11509448 DOI: 10.3390/medicina60101618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 08/16/2024] [Accepted: 09/28/2024] [Indexed: 10/28/2024]
Abstract
(1) Background and Objectives: Flow assessment using cardiovascular magnetic resonance (CMR) provides important implications in determining physiologic parameters and clinically important markers. However, post-processing of CMR images remains labor- and time-intensive. This study aims to assess the validity and repeatability of fully automated segmentation of phase contrast velocity-encoded aortic root plane. (2) Materials and Methods: Aortic root images from 125 patients are segmented by artificial intelligence (AI), developed using convolutional neural networks and trained with a multicentre cohort of 160 subjects. Derived simple flow indices (forward and backward flow, systolic flow and velocity) and complex indices (aortic maximum area, systolic flow reversal ratio, flow displacement, and its angle change) were compared with those derived from manual contours. (3) Results: AI-derived simple flow indices yielded excellent repeatability compared to human segmentation (p < 0.001), with an insignificant level of bias. Complex flow indices feature good to excellent repeatability (p < 0.001), with insignificant levels of bias except flow displacement angle change and systolic retrograde flow yielding significant levels of bias (p < 0.001 and p < 0.05, respectively). (4) Conclusions: Automated flow quantification using aortic root images is comparable to human segmentation and has good to excellent repeatability. However, flow helicity and systolic retrograde flow are associated with a significant level of bias. Overall, all parameters show clinical repeatability.
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Affiliation(s)
- Rui Li
- Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK; (R.L.); (H.S.A.); (G.M.); (B.K.); (M.H.); (V.S.V.)
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Hosamadin S. Assadi
- Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK; (R.L.); (H.S.A.); (G.M.); (B.K.); (M.H.); (V.S.V.)
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Xiaodan Zhao
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore 169609, Singapore; (X.Z.); (L.Z.)
| | - Gareth Matthews
- Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK; (R.L.); (H.S.A.); (G.M.); (B.K.); (M.H.); (V.S.V.)
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Zia Mehmood
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Ciaran Grafton-Clarke
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Vaishali Limbachia
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Rimma Hall
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Bahman Kasmai
- Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK; (R.L.); (H.S.A.); (G.M.); (B.K.); (M.H.); (V.S.V.)
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Marina Hughes
- Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK; (R.L.); (H.S.A.); (G.M.); (B.K.); (M.H.); (V.S.V.)
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Kurian Thampi
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - David Hewson
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Marianna Stamatelatou
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Peter P. Swoboda
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK;
| | - Andrew J. Swift
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield S10 2TN, UK; (A.J.S.); (S.A.)
- Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
| | - Samer Alabed
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield S10 2TN, UK; (A.J.S.); (S.A.)
- Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
| | - Sunil Nair
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Hilmar Spohr
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - John Curtin
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Yashoda Gurung-Koney
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Rob J. van der Geest
- Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands;
| | - Vassilios S. Vassiliou
- Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK; (R.L.); (H.S.A.); (G.M.); (B.K.); (M.H.); (V.S.V.)
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
| | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore 169609, Singapore; (X.Z.); (L.Z.)
- Duke-NUS Medical School, National University of Singapore, 8 College Road, Singapore 169857, Singapore
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK; (R.L.); (H.S.A.); (G.M.); (B.K.); (M.H.); (V.S.V.)
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK; (Z.M.); (C.G.-C.); (V.L.); (R.H.); (K.T.); (D.H.); (M.S.); (S.N.); (H.S.); (J.C.); (Y.G.-K.)
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK;
- Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
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Hammaréus F, Trenti C, Björck HM, Engvall J, Lekedal H, Krzynska-Trzebiatowska A, Kylhammar D, Lindenberger M, Lundberg AK, Nilsson F, Nilsson L, Swahn E, Jonasson L, Dyverfeldt P. Wall shear stress measured with 4D flow CMR correlates with biomarkers of inflammation and collagen synthesis in mild-to-moderate ascending aortic dilation and tricuspid aortic valves. Eur Heart J Cardiovasc Imaging 2024; 25:1384-1393. [PMID: 38748858 PMCID: PMC11441033 DOI: 10.1093/ehjci/jeae130] [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: 02/01/2024] [Revised: 05/07/2024] [Accepted: 05/11/2024] [Indexed: 10/01/2024] Open
Abstract
AIMS Understanding the mechanisms underlying ascending aortic dilation is imperative for refined risk stratification of these patients, particularly among incidentally identified patients, most commonly presenting with tricuspid valves. The aim of this study was to explore associations between ascending aortic haemodynamics, assessed using four-dimensional flow cardiovascular magnetic resonance imaging (4D flow CMR), and circulating biomarkers in aortic dilation. METHODS AND RESULTS Forty-seven cases with aortic dilation (diameter ≥ 40 mm) and 50 sex-and age-matched controls (diameter < 40 mm), all with tricuspid aortic valves, underwent 4D flow CMR and venous blood sampling. Associations between flow displacement, wall shear stress (WSS), and oscillatory shear index in the ascending aorta derived from 4D flow CMR, and biomarkers including interleukin-6, collagen type I α1 chain, metalloproteinases (MMPs), and inhibitors of MMPs derived from blood plasma, were investigated. Cases with dilation exhibited lower peak systolic WSS, higher flow displacement, and higher mean oscillatory shear index compared with controls without dilation. No significant differences in biomarkers were observed between the groups. Correlations between haemodynamics and biomarkers were observed, particularly between maximum time-averaged WSS and interleukin-6 (r = 0.539, P < 0.001), and maximum oscillatory shear index and collagen type I α1 chain (r = -0.575, P < 0.001 in cases). CONCLUSION Significant associations were discovered between 4D flow CMR derived whole-cardiac cycle WSS and circulating biomarkers representing inflammation and collagen synthesis, suggesting an intricate interplay between haemodynamics and the processes of inflammation and collagen synthesis in patients with early aortic dilation and tricuspid aortic valves.
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Affiliation(s)
- Filip Hammaréus
- Department of Internal Medicine in Jönköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Länssjukhuset Ryhov, Sjukhusgatan, 551 85 Jönköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Chiara Trenti
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Hanna M Björck
- Division of Cardiovascular Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institute, Karolinska University Hospital, Visionsgatan 18, Stockholm, 171 76 Solna, Sweden
| | - Jan Engvall
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
- Department of Clinical Physiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Hanna Lekedal
- Östersund Hospital, Östersundssjukhus, 831 83 Östersund, Sweden
| | - Aleksandra Krzynska-Trzebiatowska
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - David Kylhammar
- Department of Clinical Physiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
- Wallenberg Centre for Molecular Medicine, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Marcus Lindenberger
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Anna K Lundberg
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Fredrik Nilsson
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Lennart Nilsson
- Department of Internal Medicine in Jönköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Länssjukhuset Ryhov, Sjukhusgatan, 551 85 Jönköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Eva Swahn
- Department of Internal Medicine in Jönköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Länssjukhuset Ryhov, Sjukhusgatan, 551 85 Jönköping, Sweden
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Lena Jonasson
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
- Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
| | - Petter Dyverfeldt
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden
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Kiljander T, Kauhanen P, Sillanmäki S, Lottonen-Raikaslehto L, Husso M, Ylä-Herttuala E, Saari P, Kokkonen J, Laukkanen J, Mustonen P, Hedman M. Repaired coarctation of the aorta does not affect four-dimensional flow metrics in bicuspid aortic valve disease. INTERDISCIPLINARY CARDIOVASCULAR AND THORACIC SURGERY 2024; 38:ivae086. [PMID: 38704861 PMCID: PMC11101282 DOI: 10.1093/icvts/ivae086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/21/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
OBJECTIVES The objective of this study was primarily to compare four-dimensional flow magnetic resonance imaging metrics in the ascending aorta (AA) of patients with right-left fusion type bicuspid aortic valve (RL-BAV) and repaired coarctation of the aorta (CoA) to RL-BAV without CoA. Metrics of patients with RL-BAV were also compared to the matched group of patients with common tricuspid aortic valve (TAV). METHODS Eleven patients with RL-BAV and CoA, 11 patients with RL-BAV without CoA and 22 controls with TAV were investigated. Peak velocity (cm/s), peak flow (ml/s) and flow displacement (%) were analysed at 5 pre-defined AA levels. In addition, regional wall shear stress (WSS, mN/m2), circumferential WSS (WSSc) and axial WSS (WSSa) at all levels were quantified in 6 sectors of the aortic circle. Averaged WSS values on each level (WSSavg, WSSc, avg and WSSa, avg) were calculated as well. RESULTS Peak velocity at the proximal tubular AA was significantly lower in BAV and CoA group (P = 0.047) compared to BAV without CoA. In addition, the WSSa, avg was found to be higher for the BAV and CoA group at proximal AA respectively (P = 0.040). No other significant differences were found between these groups. BAV group's peak velocity was higher at every level (P < 0.001-0.004) compared to TAV group. Flow displacement was significantly higher for the BAV group at every level (P < 0.001) besides at the most distal level. All averaged WSS values were significantly higher in BAV patients in distal AA (P < 0.001-0.018). CONCLUSIONS Repaired CoA does not relevantly alter four-dimensional flow metrics in the AA of patients with RL-BAV. However, RL-BAV majorly alters flow dynamics in the AA when compared to patients with TAV. CLINICAL TRIAL REGISTRATION NUMBER https://www.clinicaltrials.gov/study/NCT05065996, Unique Protocol ID 5063566.
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Affiliation(s)
- Teemu Kiljander
- Department of Cardiology, Tampere University Hospital, Heart Hospital NOVA, Jyväskylä, Finland
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Petteri Kauhanen
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Saara Sillanmäki
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | | | - Minna Husso
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Elias Ylä-Herttuala
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- A.I. Virtanen Institute, University of Eastern Finland, Kuopio, Finland
| | - Petri Saari
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Jorma Kokkonen
- Department of Cardiology, Tampere University Hospital, Heart Hospital NOVA, Jyväskylä, Finland
| | - Jari Laukkanen
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Wellbeing Services County of Central Finland, Jyväskylä, Finland
| | - Pirjo Mustonen
- Department of Cardiology, , Heart Center, Turku University Hospital, Turku, Finland
| | - Marja Hedman
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- Department of Cardiology, , Heart Center, Kuopio University Hospital, Kuopio, Finland
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5
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Bouaou K, Dietenbeck T, Soulat G, Bargiotas I, Houriez-Gombaud-Saintonge S, De Cesare A, Gencer U, Giron A, Jiménez E, Messas E, Lucor D, Bollache E, Mousseaux E, Kachenoura N. Four-dimensional flow cardiovascular magnetic resonance aortic cross-sectional pressure changes and their associations with flow patterns in health and ascending thoracic aortic aneurysm. J Cardiovasc Magn Reson 2024; 26:101030. [PMID: 38403074 PMCID: PMC10950879 DOI: 10.1016/j.jocmr.2024.101030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/20/2024] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND Ascending thoracic aortic aneurysm (ATAA) is a silent and threatening dilation of the ascending aorta (AscAo). Maximal aortic diameter which is currently used for ATAA patients management and surgery planning has been shown to inadequately characterize risk of dissection in a large proportion of patients. Our aim was to propose a comprehensive quantitative evaluation of aortic morphology and pressure-flow-wall associations from four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) data in healthy aging and in patients with ATAA. METHODS We studied 17 ATAA patients (64.7 ± 14.3 years, 5 females) along with 17 age- and sex-matched healthy controls (59.7 ± 13.3 years, 5 females) and 13 younger healthy subjects (33.5 ± 11.1 years, 4 females). All subjects underwent a CMR exam, including 4D flow and three-dimensional anatomical images of the aorta. This latter dataset was used for aortic morphology measurements, including AscAo maximal diameter (iDMAX) and volume, indexed to body surface area. 4D flow MRI data were used to estimate 1) cross-sectional local AscAo spatial (∆PS) and temporal (∆PT) pressure changes as well as the distance (∆DPS) and time duration (∆TPT) between local pressure peaks, 2) AscAo maximal wall shear stress (WSSMAX) at peak systole, and 3) AscAo flow vorticity amplitude (VMAX), duration (VFWHM), and eccentricity (VECC). RESULTS Consistency of flow and pressure indices was demonstrated through their significant associations with AscAo iDMAX (WSSMAX:r = -0.49, p < 0.001; VECC:r = -0.29, p = 0.045; VFWHM:r = 0.48, p < 0.001; ∆DPS:r = 0.37, p = 0.010; ∆TPT:r = -0.52, p < 0.001) and indexed volume (WSSMAX:r = -0.63, VECC:r = -0.51, VFWHM:r = 0.53, ∆DPS:r = 0.54, ∆TPT:r = -0.63, p < 0.001 for all). Intra-AscAo cross-sectional pressure difference, ∆PS, was significantly and positively associated with both VMAX (r = 0.55, p = 0.002) and WSSMAX (r = 0.59, p < 0.001) in the 30 healthy subjects (48.3 ± 18.0 years). Associations remained significant after adjustment for iDMAX, age, and systolic blood pressure. Superimposition of ATAA patients to normal aging trends between ∆PS and WSSMAX as well as VMAX allowed identifying patients with substantially high pressure differences concomitant with AscAo dilation. CONCLUSION Local variations in pressures within ascending aortic cross-sections derived from 4D flow MRI were associated with flow changes, as quantified by vorticity, and with stress exerted by blood on the aortic wall, as quantified by wall shear stress. Such flow-wall and pressure interactions might help for the identification of at-risk patients.
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Affiliation(s)
- Kevin Bouaou
- Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
| | - Thomas Dietenbeck
- Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
| | - Gilles Soulat
- Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.
| | - Ioannis Bargiotas
- CMLA, ENS Cachan, CNRS, Université Paris-Saclay, 94235 Cachan, France.
| | | | - Alain De Cesare
- Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
| | - Umit Gencer
- Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.
| | - Alain Giron
- Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
| | - Elena Jiménez
- Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
| | - Emmanuel Messas
- Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.
| | - Didier Lucor
- Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, Orsay, France.
| | - Emilie Bollache
- Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
| | - Elie Mousseaux
- Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.
| | - Nadjia Kachenoura
- Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
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6
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Zolfaghari H, Andiapen M, Baumbach A, Mathur A, Kerswell RR. Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics. PLoS Comput Biol 2023; 19:e1011479. [PMID: 37851683 PMCID: PMC10635572 DOI: 10.1371/journal.pcbi.1011479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 11/09/2023] [Accepted: 08/24/2023] [Indexed: 10/20/2023] Open
Abstract
Spatial patterns of elevated wall shear stress and pressure due to blood flow past aortic stenosis (AS) are studied using GPU-accelerated patient-specific computational fluid dynamics. Three cases of moderate to severe AS, one with a dilated ascending aorta and two within the normal range (root diameter less than 4cm) are simulated for physiological waveforms obtained from echocardiography. The computational framework is built based on sharp-interface Immersed Boundary Method, where aortic geometries segmented from CT angiograms are integrated into a high-order incompressible Navier-Stokes solver. The key question addressed here is, given the presence of turbulence due to AS which increases wall shear stress (WSS) levels, why some AS patients undergo much less aortic dilation. Recent case studies of AS have linked the existence of an elevated WSS hotspot (due to impingement of AS on the aortic wall) to the dilation process. Herein we further investigate the WSS distribution for cases with and without dilation to understand the possible hemodynamics which may impact the dilation process. We show that the spatial distribution of elevated WSS is significantly more focused for the case with dilation than those without dilation. We further show that this focal area accommodates a persistent pocket of high pressure, which may have contributed to the dilation process through an increased wall-normal forcing. The cases without dilation, on the contrary, showed a rather oscillatory pressure behaviour, with no persistent pressure "buildup" effect. We further argue that a more proximal branching of the aortic arch could explain the lack of a focal area of elevated WSS and pressure, because it interferes with the impingement process due to fluid suction effects. These phenomena are further illustrated using an idealized aortic geometry. We finally show that a restored inflow eliminates the focal area of elevated WSS and pressure zone from the ascending aorta.
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Affiliation(s)
- Hadi Zolfaghari
- Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom
| | - Mervyn Andiapen
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
| | - Andreas Baumbach
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Anthony Mathur
- Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
| | - Rich R. Kerswell
- Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom
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7
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Ramaekers MJFG, Westenberg JJM, Adriaans BP, Nijssen EC, Wildberger JE, Lamb HJ, Schalla S. A clinician's guide to understanding aortic 4D flow MRI. Insights Imaging 2023; 14:114. [PMID: 37395817 DOI: 10.1186/s13244-023-01458-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 06/03/2023] [Indexed: 07/04/2023] Open
Abstract
Four-dimensional flow magnetic resonance imaging is an emerging technique which may play a role in diagnosis and risk-stratification of aortic disease. Some knowledge of flow dynamics and related parameters is necessary to understand and apply this technique in clinical workflows. The purpose of the current review is to provide a guide for clinicians to the basics of flow imaging, frequently used flow-related parameters, and their relevance in the context of aortic disease.Clinical relevance statement Understanding normal and abnormal aortic flow could improve clinical care in patients with aortic disease.
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Affiliation(s)
- Mitch J F G Ramaekers
- Department of Cardiology and Radiology and Nuclear Medicine, Maastricht University Medical Center +, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands.
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
| | - Jos J M Westenberg
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Bouke P Adriaans
- Department of Cardiology and Radiology and Nuclear Medicine, Maastricht University Medical Center +, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
| | - Estelle C Nijssen
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center +, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center +, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
| | - Hildo J Lamb
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Simon Schalla
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
- Department of Cardiology, Maastricht University Medical Center +, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
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8
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Zhao X, Garg P, Assadi H, Tan RS, Chai P, Yeo TJ, Matthews G, Mehmood Z, Leng S, Bryant JA, Teo LLS, Ong CC, Yip JW, Tan JL, van der Geest RJ, Zhong L. Aortic flow is associated with aging and exercise capacity. EUROPEAN HEART JOURNAL OPEN 2023; 3:oead079. [PMID: 37635784 PMCID: PMC10460199 DOI: 10.1093/ehjopen/oead079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/02/2023] [Accepted: 08/09/2023] [Indexed: 08/29/2023]
Abstract
Aims Increased blood flow eccentricity in the aorta has been associated with aortic (AO) pathology, however, its association with exercise capacity has not been investigated. This study aimed to assess the relationships between flow eccentricity parameters derived from 2-dimensional (2D) phase-contrast (PC) cardiovascular magnetic resonance (CMR) imaging and aging and cardiopulmonary exercise test (CPET) in a cohort of healthy subjects. Methods and Results One hundred and sixty-nine healthy subjects (age 44 ± 13 years, M/F: 96/73) free of cardiovascular disease were recruited in a prospective study (NCT03217240) and underwent CMR, including 2D PC at an orthogonal plane just above the sinotubular junction, and CPET (cycle ergometer) within one week. The following AO flow parameters were derived: AO forward and backward flow indexed to body surface area (FFi, BFi), average flow displacement during systole (FDsavg), late systole (FDlsavg), diastole (FDdavg), systolic retrograde flow (SRF), systolic flow reversal ratio (sFRR), and pulse wave velocity (PWV). Exercise capacity was assessed by peak oxygen uptake (PVO2) from CPET. The mean values of FDsavg, FDlsavg, FDdavg, SRF, sFRR, and PWV were 17 ± 6%, 19 ± 8%, 29 ± 7%, 4.4 ± 4.2 mL, 5.9 ± 5.1%, and 4.3 ± 1.6 m/s, respectively. They all increased with age (r = 0.623, 0.628, 0.353, 0.590, 0.649, 0.598, all P < 0.0001), and decreased with PVO2 (r = -0.302, -0.270, -0.253, -0.149, -0.219, -0.161, all P < 0.05). A stepwise multivariable linear regression analysis using left ventricular ejection fraction (LVEF), FFi, and FDsavg showed an area under the curve of 0.769 in differentiating healthy subjects with high-risk exercise capacity (PVO2 ≤ 14 mL/kg/min). Conclusion AO flow haemodynamics change with aging and predict exercise capacity. Registration NCT03217240.
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Affiliation(s)
- Xiaodan Zhao
- National Heart Research Institute Singapore, National Heart Centre
Singapore, 5 Hospital Drive, 169609 Singapore,
Singapore
| | - Pankaj Garg
- Cardiology Department, Norfolk and Norwich University Hospitals NHS
Foundation Trust,Colney Ln, Norwich, NR4 7UY Norfolk, UK
- Department of Cardiovascular and Metabolic Health, Norwich Medical School,
University of East Anglia, Rosalind Franklin Rd, Norwich, NR4
7UQ Norfolk, UK
| | - Hosamadin Assadi
- Cardiology Department, Norfolk and Norwich University Hospitals NHS
Foundation Trust,Colney Ln, Norwich, NR4 7UY Norfolk, UK
- Department of Cardiovascular and Metabolic Health, Norwich Medical School,
University of East Anglia, Rosalind Franklin Rd, Norwich, NR4
7UQ Norfolk, UK
| | - Ru-San Tan
- National Heart Research Institute Singapore, National Heart Centre
Singapore, 5 Hospital Drive, 169609 Singapore,
Singapore
- Duke-NUS Medical School, National University of Singapore, 8 College Road,
169857 Singapore, Singapore
| | - Ping Chai
- Department of Diagnostic Imaging, National University Hospital
Singapore, 5 Lower Kent Ridge Road, 119074
Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of
Singapore, 10 Medical Drive, 117597 Singapore,
Singapore
| | - Tee Joo Yeo
- Department of Diagnostic Imaging, National University Hospital
Singapore, 5 Lower Kent Ridge Road, 119074
Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of
Singapore, 10 Medical Drive, 117597 Singapore,
Singapore
| | - Gareth Matthews
- Cardiology Department, Norfolk and Norwich University Hospitals NHS
Foundation Trust,Colney Ln, Norwich, NR4 7UY Norfolk, UK
- Department of Cardiovascular and Metabolic Health, Norwich Medical School,
University of East Anglia, Rosalind Franklin Rd, Norwich, NR4
7UQ Norfolk, UK
| | - Zia Mehmood
- Cardiology Department, Norfolk and Norwich University Hospitals NHS
Foundation Trust,Colney Ln, Norwich, NR4 7UY Norfolk, UK
- Department of Cardiovascular and Metabolic Health, Norwich Medical School,
University of East Anglia, Rosalind Franklin Rd, Norwich, NR4
7UQ Norfolk, UK
| | - Shuang Leng
- National Heart Research Institute Singapore, National Heart Centre
Singapore, 5 Hospital Drive, 169609 Singapore,
Singapore
- Duke-NUS Medical School, National University of Singapore, 8 College Road,
169857 Singapore, Singapore
| | - Jennifer Ann Bryant
- National Heart Research Institute Singapore, National Heart Centre
Singapore, 5 Hospital Drive, 169609 Singapore,
Singapore
- Duke-NUS Medical School, National University of Singapore, 8 College Road,
169857 Singapore, Singapore
| | - Lynette L S Teo
- Department of Diagnostic Imaging, National University Hospital
Singapore, 5 Lower Kent Ridge Road, 119074
Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of
Singapore, 10 Medical Drive, 117597 Singapore,
Singapore
| | - Ching Ching Ong
- Department of Diagnostic Imaging, National University Hospital
Singapore, 5 Lower Kent Ridge Road, 119074
Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of
Singapore, 10 Medical Drive, 117597 Singapore,
Singapore
| | - James W Yip
- Department of Diagnostic Imaging, National University Hospital
Singapore, 5 Lower Kent Ridge Road, 119074
Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of
Singapore, 10 Medical Drive, 117597 Singapore,
Singapore
| | - Ju Le Tan
- National Heart Research Institute Singapore, National Heart Centre
Singapore, 5 Hospital Drive, 169609 Singapore,
Singapore
- Duke-NUS Medical School, National University of Singapore, 8 College Road,
169857 Singapore, Singapore
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center,
Albinusdreef 2, 2333 ZA Leiden, TheNetherlands
| | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre
Singapore, 5 Hospital Drive, 169609 Singapore,
Singapore
- Duke-NUS Medical School, National University of Singapore, 8 College Road,
169857 Singapore, Singapore
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9
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Huellebrand M, Jarmatz L, Manini C, Laube A, Ivantsits M, Schulz-Menger J, Nordmeyer S, Harloff A, Hansmann J, Kelle S, Hennemuth A. Radiomics-based aortic flow profile characterization with 4D phase-contrast MRI. Front Cardiovasc Med 2023; 10:1102502. [PMID: 37077748 PMCID: PMC10106758 DOI: 10.3389/fcvm.2023.1102502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/06/2023] [Indexed: 04/05/2023] Open
Abstract
4D PC MRI of the aorta has become a routinely available examination, and a multitude of single parameters have been suggested for the quantitative assessment of relevant flow features for clinical studies and diagnosis. However, clinically applicable assessment of complex flow patterns is still challenging. We present a concept for applying radiomics for the quantitative characterization of flow patterns in the aorta. To this end, we derive cross-sectional scalar parameter maps related to parameters suggested in literature such as throughflow, flow direction, vorticity, and normalized helicity. Derived radiomics features are selected with regard to their inter-scanner and inter-observer reproducibility, as well as their performance in the differentiation of sex-, age- and disease-related flow properties. The reproducible features were tested on user-selected examples with respect to their suitability for characterizing flow profile types. In future work, such signatures could be applied for quantitative flow assessment in clinical studies or disease phenotyping.
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Affiliation(s)
- Markus Huellebrand
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany
- Correspondence: Markus Huellebrand
| | - Lina Jarmatz
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Chiara Manini
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Ann Laube
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Matthias Ivantsits
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Jeanette Schulz-Menger
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Helios Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
| | - Sarah Nordmeyer
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Andreas Harloff
- Department of Neurology, University Medical Center Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jochen Hansmann
- Department of Radiology, Theresienkrankenhaus und St. Hedwig-Klinik, Mannheim, Germany
| | - Sebastian Kelle
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Anja Hennemuth
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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10
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Osztrogonacz P, Berczeli M, Chinnadurai P, Chang SM, Shah DJ, Lumsden AB. Dynamic Imaging of Aortic Pathologies: Review of Clinical Applications and Imaging Protocols. Methodist Debakey Cardiovasc J 2023; 19:4-14. [PMID: 36910554 PMCID: PMC10000327 DOI: 10.14797/mdcvj.1172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 12/15/2022] [Indexed: 03/09/2023] Open
Abstract
The past decade has seen significant advances in dynamic imaging of the aorta. Today's vascular surgeons have the opportunity to choose from a wide array of imaging modalities to evaluate different aortic pathologies. While vascular ultrasound and aortography are considered to be the bread and butter imaging modalities, newer dynamic imaging techniques provide time-resolved information in various aortic pathologies. However, despite growing evidence of their advantages in the literature, they have not been routinely adopted. In order to understand the role of these emerging modalities, one must understand their principles, advantages, and limitations in the context of various clinical scenarios. In this review, we provide an overview of dynamic imaging techniques for aortic pathologies and describe various dynamic computed tomography and magnetic resonance imaging protocols, clinical applications, and potential future directions.
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Affiliation(s)
- Peter Osztrogonacz
- Houston Methodist Hospital, Houston, Texas, US.,Semmelweis University, Budapest, Hungary
| | - Marton Berczeli
- Houston Methodist Hospital, Houston, Texas, US.,Semmelweis University, Budapest, Hungary
| | - Ponraj Chinnadurai
- Houston Methodist Hospital, Houston, Texas, US.,Siemens Medical Solutions USA Inc., Malvern, Pennsylvania, US
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11
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Kiema M, Sarin JK, Kauhanen SP, Torniainen J, Matikka H, Luoto ES, Jaakkola P, Saari P, Liimatainen T, Vanninen R, Ylä-Herttuala S, Hedman M, Laakkonen JP. Wall Shear Stress Predicts Media Degeneration and Biomechanical Changes in Thoracic Aorta. Front Physiol 2022; 13:934941. [PMID: 35874533 PMCID: PMC9301078 DOI: 10.3389/fphys.2022.934941] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/15/2022] [Indexed: 11/20/2022] Open
Abstract
Objectives: In thoracic aortic aneurysm (TAA) of the ascending aorta (AA), AA is progressively dilating due to the weakening of the aortic wall. Predicting and preventing aortic dissections and ruptures in TAA continues to be challenging, and more accurate assessment of the AA dilatation, identification of high-risk patients, and timing of repair surgery are required. We investigated whether wall shear stress (WSS) predicts pathological and biomechanical changes in the aortic wall in TAA. Methods: The study included 12 patients with bicuspid (BAV) and 20 patients with the tricuspid aortic valve (TAV). 4D flow magnetic resonance imaging (MRI) was performed a day before aortic replacement surgery. Biomechanical and histological parameters, including assessing of wall strength, media degeneration, elastin, and cell content were analyzed from the resected AA samples. Results: WSSs were greater in the outer curves of the AA compared to the inner curves in all TAA patients. WSSs correlated with media degeneration of the aortic wall (ρ = -0.48, p < 0.01), elastin content (ρ = 0.47, p < 0.01), and aortic wall strength (ρ = -0.49, p = 0.029). Subsequently, the media of the outer curves was thinner, more rigid, and tolerated lower failure strains. Failure values were shown to correlate with smooth muscle cell (SMC) density (ρ = -0.45, p < 0.02), and indicated the more MYH10+ SMCs the lower the strength of the aortic wall structure. More macrophages were detected in patients with severe media degeneration and the areas with lower WSSs. Conclusion: The findings indicate that MRI-derived WSS predicts pathological and biomechanical changes in the aortic wall in patients with TAA and could be used for identification of high-risk patients.
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Affiliation(s)
- Miika Kiema
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jaakko K. Sarin
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
- Department of Medical Physics, Medical Imaging Center, Pirkanmaa Hospital District, Tampere, Finland
| | - S. Petteri Kauhanen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Jari Torniainen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Hanna Matikka
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Emma-Sofia Luoto
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Pekka Jaakkola
- Department of Heart and Thoracic Surgery, Kuopio University Hospital, Heart Center, Kuopio, Finland
| | - Petri Saari
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Timo Liimatainen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Research Unit of Medical Imaging, Physics and Technology, Oulu University Hospital, Oulu, Finland
| | - Ritva Vanninen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Seppo Ylä-Herttuala
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
- Science Service Center, Kuopio University Hospital, Kuopio, Finland
- Gene Therapy Unit, Kuopio University Hospital, Kuopio, Finland
| | - Marja Hedman
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Department of Heart and Thoracic Surgery, Kuopio University Hospital, Heart Center, Kuopio, Finland
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Johanna P. Laakkonen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
- *Correspondence: Johanna P. Laakkonen,
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12
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Jauhiainen S, Kiema M, Hedman M, Laakkonen JP. Large Vessel Cell Heterogeneity and Plasticity: Focus in Aortic Aneurysms. Arterioscler Thromb Vasc Biol 2022; 42:811-818. [PMID: 35587695 DOI: 10.1161/atvbaha.121.316237] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Smooth muscle cells and endothelial cells have a remarkable level of plasticity in vascular pathologies. In thoracic and abdominal aortic aneurysms, smooth muscle cells have been suggested to undergo phenotypic switching and to contribute to degradation of the aortic wall structure in response to, for example, inflammatory mediators, dysregulation of growth factor signaling or oxidative stress. Recently, endothelial-to-mesenchymal transition, and a clonal expansion of degradative smooth muscle cells and immune cells, as well as mesenchymal stem-like cells have been suggested to contribute to the progression of aortic aneurysms. What are the factors driving the aortic cell phenotype changes and how vascular flow, known to affect aortic wall structure and to be altered in aortic aneurysms, could affect aortic cell remodeling? In this review, we summarize the current literature on aortic cell heterogeneity and phenotypic switching in relation to changes in vascular flow and aortic wall structure in aortic aneurysms in clinical samples with special focus on smooth muscle and endothelial cells. The differences between thoracic and abdominal aortic aneurysms are discussed.
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Affiliation(s)
- Suvi Jauhiainen
- A.I. Virtanen Institute for Molecular Sciences (S.J., M.K., J.P.L.), University of Eastern Finland, Kuopio
| | - Miika Kiema
- A.I. Virtanen Institute for Molecular Sciences (S.J., M.K., J.P.L.), University of Eastern Finland, Kuopio
| | - Marja Hedman
- Institute of Clinical Medicine (M.H.), University of Eastern Finland, Kuopio
- Department of Clinical Radiology, Kuopio University Hospital, Finland (M.H.)
- Department of Heart and Thoracic Surgery, Kuopio University Hospital, Heart Center, Kuopio, Finland (M.H.)
| | - Johanna P Laakkonen
- A.I. Virtanen Institute for Molecular Sciences (S.J., M.K., J.P.L.), University of Eastern Finland, Kuopio
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13
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4D Flow MRI in Ascending Aortic Aneurysms: Reproducibility of Hemodynamic Parameters. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12083912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
(1) Background: Aorta hemodynamics have been associated with aortic remodeling, but the reproducibility of its assessment has been evaluated marginally in patients with thoracic aortic aneurysm (TAA). The current study evaluated intra- and interobserver reproducibility of 4D flow MRI-derived hemodynamic parameters (normalized flow displacement, flow jet angle, wall shear stress (WSS) magnitude, axial WSS, circumferential WSS, WSS angle, vorticity, helicity, and local normalized helicity (LNH)) in TAA patients; (2) Methods: The thoracic aorta of 20 patients was semi-automatically segmented on 4D flow MRI data in 5 systolic phases by 3 different observers. Each time-dependent segmentation was manually improved and partitioned into six anatomical segments. The hemodynamic parameters were quantified per phase and segment. The coefficient of variation (COV) and intraclass correlation coefficient (ICC) were calculated; (3) Results: A total of 2400 lumen segments were analyzed. The mean aneurysm diameter was 50.8 ± 2.7 mm. The intra- and interobserver analysis demonstrated a good reproducibility (COV = 16–30% and ICC = 0.84–0.94) for normalized flow displacement and jet angle, a very good-to-excellent reproducibility (COV = 3–26% and ICC = 0.87–1.00) for all WSS components, helicity and LNH, and an excellent reproducibility (COV = 3–10% and ICC = 0.96–1.00) for vorticity; (4) Conclusion: 4D flow MRI-derived hemodynamic parameters are reproducible within the thoracic aorta in TAA patients.
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14
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Takahashi K, Sekine T, Ando T, Ishii Y, Kumita S. Utility of 4D Flow MRI in Thoracic Aortic Diseases: A Literature Review of Clinical Applications and Current Evidence. Magn Reson Med Sci 2022; 21:327-339. [PMID: 34497166 PMCID: PMC9680552 DOI: 10.2463/mrms.rev.2021-0046] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/17/2021] [Indexed: 11/09/2022] Open
Abstract
Despite the recent technical developments, surgery on the thoracic aorta remains challenging and is associated with significant mortality and morbidity. Decisions about when and if to operate are based on a balance between surgical risk and the hazard of aortic rupture. These decisions are sometimes difficult in elective cases of thoracic aortic diseases, including aneurysms and dissections. Abnormal wall stress derived from flow alterations influences disease progression. Therefore, a better understanding of the complex hemodynamic environment inside the aortic lumen will facilitate patient-specific risk assessments of complications, which enable clinicians to provide timely prophylactic interventions. Time-resolved 3D phase-contrast (4D flow) MRI has many advantages for the in vivo assessment of flow dynamics. Recent developments in 4D flow imaging techniques has led to significant advances in our understanding of physiological flow dynamics in healthy subjects and patients with thoracic aortic diseases. In this clinically focused review of thoracic aortic diseases, we demonstrate the clinical advances acquired with 4D flow MRI from published studies. We provide a systematic overview of key evidences and considerations regarding normal thoracic aortas, thoracic aortic aneurysms, aortic dissections, and thoracic aortas with prosthetic graft replacement.
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Affiliation(s)
| | - Tetsuro Sekine
- Department of Radiology, Nippon Medical School Musashi Kosugi Hospital, Kawasaki, Kanagawa, Japan
| | - Takahiro Ando
- Department of Radiology, Nippon Medical School, Tokyo, Japan
| | - Yosuke Ishii
- Department of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan
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15
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Ascending aorta curvature and flow displacement are associated with accelerated aortic growth at long-term follow-up: A MRI study in Marfan and thoracic aortic aneurysm patients. IJC HEART & VASCULATURE 2022; 38:100926. [PMID: 34977327 PMCID: PMC8683588 DOI: 10.1016/j.ijcha.2021.100926] [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: 11/02/2021] [Accepted: 12/05/2021] [Indexed: 01/16/2023]
Abstract
Background Aortic aneurysm formation is associated with increased risk of aortic dissection. Current diagnostic strategies are focused on diameter growth, the predictive value of aortic morphology and function remains underinvestigated. We aimed to assess the long-term prognostic value of ascending aorta (AA) curvature radius, regional pulse wave velocity (PWV) and flow displacement (FD) on aortic dilatation/elongation and evaluated adverse outcomes (proximal aortic surgery, dissection/rupture, death) in Marfan and non-syndromic thoracic aortic aneurysm (NTAA) patients. Methods Long-term magnetic resonance imaging (MRI) and clinical follow-up of two previous studies consisting of 21 Marfan and 40 NTAA patients were collected. Baseline regional PWV, AA curvature radius and normalized FD were assessed as well as diameter and length growth rate at follow-up. Multivariate linear regression was performed to evaluate whether baseline predictors were associated with aortic growth.=. Results Of the 61 patients, 49 patients were included with MRI follow-up (n = 44) and/or adverse aortic events (n = 7). Six had undergone aortic surgery, no dissection/rupture occurred and one patient died during follow-up. During 8.0 [7.3-10.7] years of follow-up, AA growth rate was 0.40 ± 0.31 mm/year. After correction for confounders, AA curvature radius (p = 0.01), but not FD or PWV, was a predictor of AA dilatation. Only FD was associated with AA elongation (p = 0.01). Conclusion In Marfan and non-syndromic thoracic aortic aneurysm patients, ascending aorta curvature radius and flow displacement are associated with accelerated aortic growth at long-term follow-up. These markers may aid in the risk stratification of ascending aorta elongation and aneurysm formation.
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16
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Korpela T, Kauhanen SP, Kariniemi E, Saari P, Liimatainen T, Jaakkola P, Vanninen R, Hedman M. Flow displacement and decreased wall shear stress might be associated with the growth rate of an ascending aortic dilatation. Eur J Cardiothorac Surg 2021; 61:395-402. [PMID: 34791134 PMCID: PMC8788001 DOI: 10.1093/ejcts/ezab483] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVES Our goal was to evaluate whether four-dimensional (4D) flow magnetic resonance imaging (MRI) can predict the growth rate of dilatation of the ascending aorta (AA) in patients with a tricuspid, normally functioning aortic valve. METHODS In this prospective clinical study, aortic 4D flow MRI was performed at the Kuopio University Hospital on 30 patients diagnosed with AA dilatation (maximum diameter >40 mm) between August 2017 and July 2020. The MRI was repeated after a 1-year follow-up, with AA dimensions and 4D flow parameters analysed retrospectively at both time points. The standard error of measurement was used to assess the statistical significance of the growth rate of AA dilatation. Flow displacement (FD) was transformed to a class-scaled parameter using FD ≥5% as a threshold. RESULTS Statistically significant growth [median 2.1 mm (1.5–2.2 mm); P = 0.03] was detected in 6 male patients (20%); the AA diameter remained unchanged [0.2 mm (−0.3 to 0.9 mm)] in 24 patients (80%). An increased FD at the baseline was associated with significant growth during the 1-year follow-up in the proximal AA. An association was detected between decreased total wall shear stress and significant aortic growth in the inner curve of the sinotubular junction [529 mPa (449–664 mPa) vs 775 mPa (609–944 mPa); P = 0.03] and the anterior side of the proximal aortic arch [356 mPa (305–367 mPa) vs 493 mPa (390–586 mPa); P < 0.001]. CONCLUSIONS FD and decreased wall shear stress seem to be associated with significant growth of AA dilatation at the 1-year follow-up. Thus, 4D flow MRI might be useful in assessing risk for AA diameter growth in patients with a tricuspid aortic valve.
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Affiliation(s)
- Tarmo Korpela
- Institute of Clinical Medicine, Faculty of Health Sciences, University of Eastern Finland, Finland.,Department of Heart and Thoracic Surgery, Kuopio University Hospital, Heart Center, Finland
| | - S Petteri Kauhanen
- Institute of Clinical Medicine, Faculty of Health Sciences, University of Eastern Finland, Finland.,Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Finland
| | - Elina Kariniemi
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Clinical Imaging Center, Finland
| | - Petri Saari
- Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Finland
| | - Timo Liimatainen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Pekka Jaakkola
- Department of Heart and Thoracic Surgery, Kuopio University Hospital, Heart Center, Finland
| | - Ritva Vanninen
- Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Finland
| | - Marja Hedman
- Institute of Clinical Medicine, Faculty of Health Sciences, University of Eastern Finland, Finland.,Department of Heart and Thoracic Surgery, Kuopio University Hospital, Heart Center, Finland.,Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Finland
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17
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Ramaekers MJFG, Adriaans BP, Juffermans JF, van Assen HC, Bekkers SCAM, Scholte AJHA, Kenjeres S, Lamb HJ, Wildberger JE, Westenberg JJM, Schalla S. Characterization of Ascending Aortic Flow in Patients With Degenerative Aneurysms: A 4D Flow Magnetic Resonance Study. Invest Radiol 2021; 56:494-500. [PMID: 33653992 DOI: 10.1097/rli.0000000000000768] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Degenerative thoracic aortic aneurysm (TAA) patients are known to be at risk of life-threatening acute aortic events. Guidelines recommend preemptive surgery at diameters of greater than 55 mm, although many patients with small aneurysms show only mild growth rates and more than half of complications occur in aneurysms below this threshold. Thus, assessment of hemodynamics using 4-dimensional flow magnetic resonance has been of interest to obtain more insights in aneurysm development. Nonetheless, the role of aberrant flow patterns in TAA patients is not yet fully understood. MATERIALS AND METHODS A total of 25 TAA patients and 22 controls underwent time-resolved 3-dimensional phase contrast magnetic resonance imaging with 3-directional velocity encoding (ie, 4-dimensional flow magnetic resonance imaging). Hemodynamic parameters such as vorticity, helicity, and wall shear stress (WSS) were calculated from velocity data in 3 anatomical segments of the ascending aorta (root, proximal, and distal). Regional WSS distribution was assessed for the full cardiac cycle. RESULTS Flow vorticity and helicity were significantly lower for TAA patients in all segments. The proximal ascending aorta showed a significant increase in peak WSS in the outer curvature in TAA patients, whereas WSS values at the inner curvature were significantly lower as compared with controls. Furthermore, positive WSS gradients from sinotubular junction to midascending aorta were most prominent in the outer curvature, whereas from midascending aorta to brachiocephalic trunk, the outer curvature showed negative WSS gradients in the TAA group. Controls solely showed a positive gradient at the inner curvature for both segments. CONCLUSIONS Degenerative TAA patients show a decrease in flow vorticity and helicity, which is likely to cause perturbations in physiological flow patterns. The subsequent differing distribution of WSS might be a contributor to vessel wall remodeling and aneurysm formation.
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Affiliation(s)
| | | | | | | | | | | | - Sasa Kenjeres
- Department of Chemical Engineering, Transport Phenomena Section, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | - Hildo J Lamb
- Department of Radiology, Leiden University Medical Center
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18
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Kauhanen SP, Liimatainen T, Korhonen M, Parkkonen J, Vienonen J, Vanninen R, Hedman M. Pulmonary Artery Dilatation Is a Common Finding in a Coronary Artery CT Angiography Population. In Vivo 2021; 35:2177-2185. [PMID: 34182495 DOI: 10.21873/invivo.12489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 04/15/2021] [Accepted: 04/19/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND/AIM Dilatation of the main pulmonary artery (mPA) is a common incidental finding in chest imaging and often leads to consultation. The aim of this study was to determine the prevalence of mPA dilatation in a coronary artery CT angiography (CCTA) population. PATIENTS AND METHODS The study investigated 985 consecutive patients scheduled for diagnostic CCTA. The transverse axial diameter of the mPA was measured. The prevalence of mPA dilatation was estimated using different reference values (Framingham Heart Study: 28.9 mm for males and 26.9 mm for females, Bozlar: 29.5 mm for both genders and Karazincir: 32.6 mm for males and 31.9 mm for females). RESULTS The patient mean age was 53.0±9.7 years (66.5% were women). Body surface area (BSA) correlated moderately with the mPA diameter (r=0.423, p<0.001). The prevalence of mPA dilatation varied from 5.9% (Karazincir) to 33.7% (Framingham Heart Study) in the overall study population. CONCLUSION The prevalence of mPA dilatation is high in a CCTA patient population when using a cut-off value from the Framingham Heart Study.
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Affiliation(s)
- S Petteri Kauhanen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland; .,Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Kuopio, Finland
| | - Timo Liimatainen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
| | - Miika Korhonen
- Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Kuopio, Finland
| | - Johannes Parkkonen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Juska Vienonen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Ritva Vanninen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Kuopio, Finland
| | - Marja Hedman
- Department of Clinical Radiology, Kuopio University Hospital, Clinical Imaging Center, Kuopio, Finland.,Department of Cardiothoracic Surgery, Heart Center, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
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19
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Assessment of hemodynamic responses to exercise in aortic coarctation using MRI-ergometry in combination with computational fluid dynamics. Sci Rep 2020; 10:18894. [PMID: 33144605 PMCID: PMC7609559 DOI: 10.1038/s41598-020-75689-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 10/16/2020] [Indexed: 01/16/2023] Open
Abstract
In patients with aortic coarctation it would be desirable to assess pressure gradients as well as information about blood flow profiles at rest and during exercise. We aimed to assess the hemodynamic responses to physical exercise by combining MRI-ergometry with computational fluid dynamics (CFD). MRI was performed on 20 patients with aortic coarctation (13 men, 7 women, mean age 21.5 ± 13.7 years) at rest and during ergometry. Peak systolic pressure gradients, wall shear stress (WSS), secondary flow degree (SFD) and normalized flow displacement (NFD) were calculated using CFD. Stroke volume was determined based on MRI. On average, the pressure gradient was 18.0 ± 16.6 mmHg at rest and increased to 28.5 ± 22.6 mmHg (p < 0.001) during exercise. A significant increase in cardiac index was observed (p < 0.001), which was mainly driven by an increase in heart rate (p < 0.001). WSS significantly increased during exercise (p = 0.006), whereas SFD and NFD remained unchanged. The combination of MRI-ergometry with CFD allows assessing pressure gradients as well as flow profiles during physical exercise. This concept has the potential to serve as an alternative to cardiac catheterization with pharmacological stress testing and provides hemodynamic information valuable for studying the pathophysiology of aortic coarctation.
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20
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Kauhanen SP, Liimatainen T, Kariniemi E, Korhonen M, Parkkonen J, Vienonen J, Vanninen R, Hedman M. A smaller heart-aorta-angle associates with ascending aortic dilatation and increases wall shear stress. Eur Radiol 2020; 30:5149-5157. [PMID: 32323010 PMCID: PMC7431431 DOI: 10.1007/s00330-020-06852-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 03/10/2020] [Accepted: 03/31/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVES The aim of this study was to evaluate whether the orientation of the heart, measured as an angle between the long axis of the heart and ascending aorta midline (heart-aorta-angle, HAA), associates with ascending aortic (AA) dilatation. Furthermore, the association between HAA and wall shear stress (WSS) was studied. METHODS HAA was retrospectively measured in 1000 consecutive coronary artery computed tomographic angiography (CCTA) images in patients with low-to-moderate pretest probability for coronary artery disease (CAD). To evaluate the effects of HAA on AA flow, 4D flow MRI was performed for 28 patients with AA dilatation (> 40 mm) and WSS was analyzed. RESULTS The mean age of patients undergoing CCTA was 52.9 ± 9.8 years; 66.5% were women. Their median HAA was 128.7° and interquartile range 123.3-134.1°. HAA was significantly smaller in patients with dilated AA (median 126.7° [121.3-130.8°]) compared with the patients with normal AA (median 129.5° [124.3-135.3°], p < 0.001). HAA was smaller in males (p < 0.001) and in patients with diabetes (p = 0.016), hypertension (p = 0.001), CAD (p = 0.003), hypercholesterolemia (p < 0.001), and bicuspid aortic valve (p = 0.025) than without these factors. In a subpopulation without any of these underlying diseases (n = 233), HAA was still significantly smaller in the patients with dilated AA (median 127.9° [124.3-134.3°]) compared with patients with normal AA (median 131.9° [127.6-136.9°], p = 0.013). In 4D flow MRI, a smaller HAA correlated with increased total WSS in the outer curvature of the proximal AA (r = - 0.510, p = 0.006). CONCLUSION A smaller HAA associates with AA dilatation and affects the blood flow in the proximal AA. KEY POINTS • A smaller angle between the long axis of the heart and ascending aorta midline associated with ascending aortic dilatation. • A smaller heart-aorta-angle correlated with increased total wall shear stress in the outer curvature of the proximal ascending aorta.
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Affiliation(s)
- S Petteri Kauhanen
- Doctoral Programme of Clinical Research, University of Eastern Finland, Kuopio, Finland.
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, Kuopio, Finland.
| | - Timo Liimatainen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
- Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
| | - Elina Kariniemi
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Clinical Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Miika Korhonen
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Johannes Parkkonen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Juska Vienonen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Ritva Vanninen
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, Kuopio, Finland
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Marja Hedman
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, Kuopio, Finland
- Department of Cardiothoracic Surgery, Heart Center, Kuopio University Hospital, Kuopio, Finland
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21
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Ebel S, Dufke J, Köhler B, Preim B, Behrendt B, Riekena B, Jung B, Stehning C, Kropf S, Grothoff M, Gutberlet M. Automated Quantitative Extraction and Analysis of 4D flow Patterns in the Ascending Aorta: An intraindividual comparison at 1.5 T and 3 T. Sci Rep 2020; 10:2949. [PMID: 32076060 PMCID: PMC7031260 DOI: 10.1038/s41598-020-59826-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 01/29/2020] [Indexed: 12/28/2022] Open
Abstract
4D flow MRI enables quantitative assessment of helical flow. Current methods are susceptible to noise. To evaluate helical flow patterns in healthy volunteers and patients with bicuspid aortic valves (BAV) at 1.5 T and 3 T using pressure-based helix-extraction in 4D flow MRI. Two intraindividual 4D flow MRI examinations were performed at 1.5 T and 3 T in ten healthy volunteers (5 females, 32 ± 3 years) and 2 patients with BAV using different acceleration techniques (kt-GRAPPA and centra). Several new quantitative parameters for the evaluation of volumes [ml], lengths [mm] as well as temporal parameters [ms] of helical flow were introduced and analyzed using the software tool Bloodline. We found good correlations between measurements in volunteers at 1.5 T and 3 T regarding helical flow volumes (R = 0.98) and temporal existence (R = 0.99) of helices in the ascending aorta. Furthermore, we found significantly larger (11.7 vs. 77.6 ml) and longer lasting (317 vs. 769 ms) helices in patients with BAV than in volunteers. The assessed parameters do not depend on the magnetic field strength used for the acquisition. The technique of pressure-based extraction of 4D flow MRI pattern is suitable for differentiation of normal and pathological flow.
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Affiliation(s)
- Sebastian Ebel
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany. .,Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
| | - Josefin Dufke
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
| | - Benjamin Köhler
- Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Bernhard Preim
- Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Benjamin Behrendt
- Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany
| | - Boris Riekena
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
| | - Bernd Jung
- Department of Diagnostic, Interventional and paediatric Radiology, University of Bern, Bern, Switzerland
| | | | - Siegfried Kropf
- Institute for Biometrics and Medical Informatics, University of Magdeburg, Magdeburg, Germany
| | - Matthias Grothoff
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
| | - Matthias Gutberlet
- Department of Diagnostic and Interventional Radiology, University of Leipzig - Heart Centre, Leipzig, Germany
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22
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Kauhanen SP, Saari P, Jaakkola P, Korhonen M, Parkkonen J, Vienonen J, Vanninen R, Liimatainen T, Hedman M. High prevalence of ascending aortic dilatation in a consecutive coronary CT angiography patient population. Eur Radiol 2019; 30:1079-1087. [PMID: 31529253 PMCID: PMC6957537 DOI: 10.1007/s00330-019-06433-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 07/09/2019] [Accepted: 08/27/2019] [Indexed: 01/04/2023]
Abstract
Objectives To clarify the prevalence and risk factors of ascending aortic (AA) dilatation according to ESC 2014 guidelines. Methods This study included 1000 consecutive patients scheduled for diagnostic coronary artery computed tomographic angiography. AA diameter was retrospectively measured in 3 planes: sinus valsalva, sinotubular junction, and tubular part. The threshold for AA dilatation was set to > 40 mm which has been suggested as an upper normal limit for AA diameter in ESC 2014 guidelines on aortic diseases. Aortic size index (ASI) using the ratio between aortic diameter and body surface area (BSA) was applied as a comparative measurement. The threshold for AA dilatation was set to the upper limit of normal distribution exceeding two standard deviations (95%). Risk factors for AA dilatation were collected from medical records. Results The patients’ mean age was 52.9 ± 9.8 years (66.5% women). The prevalence of AA dilatation was 23.0% in the overall study population (52.5% males) and 15.1% in the subgroup of patients with no coronary artery disease or bicuspid (BAV)/mechanical aortic valve (n = 365). According to the normal-distributed ASI values, the threshold for sinus valsalva was defined as 23.2 mm/m2 and for tubular part 22.2 mm/m2 in the subgroup. Higher BSA was associated with larger AA dimensions (r = 0.407, p < 0.001). Male gender (p < 0.001), BAV (p < 0.001), hypertension (p = 0.009) in males, and smoking (p < 0.001) appeared as risk factors for AA dilatation. Conclusions The prevalence of AA dilatation is high with current ESC guidelines for normal AA dimension, especially in males. Body size is strongly associated with AA dimensions; it would be more reliable to use BSA-adjusted AA diameters for the definition of AA dilatation. Key Points • The prevalence of AA dilatation is high in patients who are candidates for coronary CT angiography. • Body size is strongly associated with AA dimensions.
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Affiliation(s)
- S Petteri Kauhanen
- Doctoral Programme of Clinical Research, University of Eastern Finland, Kuopio, Finland. .,Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, PO Box 100, Puijonlaaksontie 2, 70029, Kuopio, KYS, Finland.
| | - Petri Saari
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, PO Box 100, Puijonlaaksontie 2, 70029, Kuopio, KYS, Finland
| | - Pekka Jaakkola
- Department of Heart and Thoracic Surgery, Heart Center, Kuopio University Hospital, Kuopio, Finland
| | - Miika Korhonen
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, PO Box 100, Puijonlaaksontie 2, 70029, Kuopio, KYS, Finland
| | - Johannes Parkkonen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Juska Vienonen
- School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Ritva Vanninen
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, PO Box 100, Puijonlaaksontie 2, 70029, Kuopio, KYS, Finland.,School of Medicine, Clinical Radiology, University of Eastern Finland, Kuopio, Finland
| | - Timo Liimatainen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
| | - Marja Hedman
- Department of Clinical Radiology, Clinical Imaging Center, Kuopio University Hospital, PO Box 100, Puijonlaaksontie 2, 70029, Kuopio, KYS, Finland
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23
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Yevtushenko P, Hellmeier F, Bruening J, Nordmeyer S, Falk V, Knosalla C, Kelm M, Kuehne T, Goubergrits L. Surgical Aortic Valve Replacement: Are We Able to Improve Hemodynamic Outcome? Biophys J 2019; 117:2324-2336. [PMID: 31427066 DOI: 10.1016/j.bpj.2019.07.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 06/18/2019] [Accepted: 07/17/2019] [Indexed: 01/16/2023] Open
Abstract
Aortic valve replacement (AVR) does not usually restore physiological flow profiles. Complex flow profiles are associated with aorta dilatation, ventricle remodeling, aneurysms, and development of atherosclerosis. All these affect long-term morbidity and often require reoperations. In this pilot study, we aim to investigate an ability to optimize the real surgical AVR procedure toward flow profile associated with healthy persons. Four cases of surgical AVR (two with biological and two with mechanical valve prosthesis) with available post-treatment cardiac magnetic resonance imaging (MRI), including four-dimensional flow MRI and showing abnormal complex post-treatment hemodynamics, were investigated. All cases feature complex hemodynamic outcomes associated with valve-jet eccentricity and strong secondary flow characterized by helical flow and recirculation regions. A commercial computational fluid dynamics solver was used to simulate peak systolic hemodynamics of the real post-treatment outcome using patient-specific MRI measured boundary conditions. Then, an attempt to optimize hemodynamic outcome by modifying valve size and orientation as well as ascending aorta size reduction was made. Pressure drop, wall shear stress, secondary flow degree, helicity, maximal velocity, and turbulent kinetic energy were evaluated to characterize the AVR hemodynamic outcome. The proposed optimization strategy was successful in three of four cases investigated. Although no single parameter was identified as the sole predictor for a successful flow optimization, downsizing of the ascending aorta in combination with the valve orientation was the most effective optimization approach. Simulations promise to become an effective tool to predict hemodynamic outcome. The translation of these tools requires, however, studies with a larger cohort of patients followed by a prospective clinical validation study.
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Affiliation(s)
- Pavlo Yevtushenko
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Germany
| | - Florian Hellmeier
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Germany
| | - Jan Bruening
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Germany
| | - Sarah Nordmeyer
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Germany; Department of Congenital Heart Disease and Paediatric Cardiology, DHZB (German Heart Center Berlin), Berlin, Germany
| | - Volkmar Falk
- Partner Site Berlin, DZHK (German Centre for Cardiovascular Research), Berlin, Germany; Department of Cardiothoracic and Vascular Surgery, DHZB, Berlin, Germany
| | - Christoph Knosalla
- Partner Site Berlin, DZHK (German Centre for Cardiovascular Research), Berlin, Germany; Department of Cardiothoracic and Vascular Surgery, DHZB, Berlin, Germany
| | - Marcus Kelm
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Germany; Department of Congenital Heart Disease and Paediatric Cardiology, DHZB (German Heart Center Berlin), Berlin, Germany
| | - Titus Kuehne
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Germany; Partner Site Berlin, DZHK (German Centre for Cardiovascular Research), Berlin, Germany; Department of Congenital Heart Disease and Paediatric Cardiology, DHZB (German Heart Center Berlin), Berlin, Germany
| | - Leonid Goubergrits
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Germany.
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