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Asif A, Shearn AIU, Turner MS, Ordoñez MV, Sophocleous F, Mendez-Santos A, Valverde I, Angelini GD, Caputo M, Hamilton MCK, Biglino G. Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis. JOURNAL OF 3D PRINTING IN MEDICINE 2023; 7:3DP3. [PMID: 36911812 PMCID: PMC9990116 DOI: 10.2217/3dp-2022-0012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 12/12/2022] [Indexed: 06/18/2023]
Abstract
BACKGROUND Post-infarct ventricular septal defect (PIVSD) is a serious complication of myocardial infarction. We evaluated 3D-printing models in PIVSD clinical assessment and the feasibility of statistical shape modeling for morphological analysis of the defects. METHODS Models (n = 15) reconstructed from computed tomography data were evaluated by clinicians (n = 8). Statistical shape modeling was performed on 3D meshes to calculate the mean morphological configuration of the defects. RESULTS Clinicians' evaluation highlighted the models' utility in displaying defects for interventional/surgical planning, education/training and device development. However, models lack dynamic representation. Morphological analysis was feasible and revealed oval-shaped (n = 12) and complex channel-like (n = 3) defects. CONCLUSION 3D-PIVSD models can complement imaging data for teaching and procedural planning. Statistical shape modeling is feasible in this scenario.
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Affiliation(s)
- Ashar Asif
- Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Andrew IU Shearn
- Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
- Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Mark S Turner
- Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Maria V Ordoñez
- Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
- Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Froso Sophocleous
- Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
- Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Ana Mendez-Santos
- Pediatric Cardiology Unit, Hospital Virgen del Rocio and Institute of Biomedicine of Seville (IBIS), Seville, E-41013, Spain
| | - Israel Valverde
- Pediatric Cardiology Unit, Hospital Virgen del Rocio and Institute of Biomedicine of Seville (IBIS), Seville, E-41013, Spain
- School of Biomedical Engineering and Imaging Sciences, King’s College London, King’s Health Partners, St Thomas’ Hospital, SE1 7EH, UK
| | - Gianni D Angelini
- Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
- Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Massimo Caputo
- Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
- Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Mark CK Hamilton
- Department of Clinical Radiology, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
| | - Giovanni Biglino
- Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
- Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK
- National Heart and Lung Institute, Guy Scadding Building, Imperial College London, London, SW3 6LY, UK
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Reavette RM, Sherwin SJ, Tang MX, Weinberg PD. Wave Intensity Analysis Combined With Machine Learning can Detect Impaired Stroke Volume in Simulations of Heart Failure. Front Bioeng Biotechnol 2021; 9:737055. [PMID: 35004634 PMCID: PMC8740183 DOI: 10.3389/fbioe.2021.737055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 11/26/2021] [Indexed: 11/13/2022] Open
Abstract
Heart failure is treatable, but in the United Kingdom, the 1-, 5- and 10-year mortality rates are 24.1, 54.5 and 75.5%, respectively. The poor prognosis reflects, in part, the lack of specific, simple and affordable diagnostic techniques; the disease is often advanced by the time a diagnosis is made. Previous studies have demonstrated that certain metrics derived from pressure-velocity-based wave intensity analysis are significantly altered in the presence of impaired heart performance when averaged over groups, but to date, no study has examined the diagnostic potential of wave intensity on an individual basis, and, additionally, the pressure waveform can only be obtained accurately using invasive methods, which has inhibited clinical adoption. Here, we investigate whether a new form of wave intensity based on noninvasive measurements of arterial diameter and velocity can detect impaired heart performance in an individual. To do so, we have generated a virtual population of two-thousand elderly subjects, modelling half as healthy controls and half with an impaired stroke volume. All metrics derived from the diameter-velocity-based wave intensity waveforms in the carotid, brachial and radial arteries showed significant crossover between groups-no one metric in any artery could reliably indicate whether a subject's stroke volume was normal or impaired. However, after applying machine learning to the metrics, we found that a support vector classifier could simultaneously achieve up to 99% recall and 95% precision. We conclude that noninvasive wave intensity analysis has significant potential to improve heart failure screening and diagnosis.
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Affiliation(s)
- Ryan M. Reavette
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Spencer J. Sherwin
- Department of Aeronautics, Imperial College London, London, United Kingdom
| | - Meng-Xing Tang
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Peter D. Weinberg
- Department of Bioengineering, Imperial College London, London, United Kingdom
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Heidari Pahlavian S, Cen SY, Bi X, Wang DJJ, Chui HC, Yan L. Assessment of carotid stiffness by measuring carotid pulse wave velocity using a single-slice oblique-sagittal phase-contrast MRI. Magn Reson Med 2021; 86:442-455. [PMID: 33543788 DOI: 10.1002/mrm.28677] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 12/14/2020] [Accepted: 12/18/2020] [Indexed: 11/06/2022]
Abstract
PURPOSE Increased arterial stiffness has been shown to be one of the earliest markers of cerebrovascular dysfunction. As a surrogate marker of arterial stiffness, pulse wave velocity (PWV) quantifications are generally carried out on central and peripheral arteries. The purpose of this study was to develop and evaluate an MRI approach to assess carotid stiffness by measuring carotid PWV (cPWV) using a fast oblique-sagittal phase-contrast MRI sequence. METHODS In 29 volunteers, a single-slice oblique-sagittal phase-contrast MRI sequence with retrospective cardiac gating was used to quantify blood velocity waveforms along a vessel segment covering the common carotid artery (CCA) and the internal carotid artery (ICA). The CCA-ICA segment length was measured from a region of interest selected on the magnitude image. Phase-contrast MRI-measured velocities were also used to quantify the ICA pulsatility index along with cPWV quantification. RESULTS The mean value of cPWV calculated using the middle upslope area algorithm was 2.86 ± 0.71 and 3.97 ± 1.14 m/s in young and elderly subjects, respectively. Oblique-sagittal phase-contrast MRI-derived cPWV measurements showed excellent intrascan and interscan repeatability. cPWV and ICA pulsatility index were significantly greater in older subjects compared to those in the young subjects (P < .01 and P = .01, respectively). Also, increased cPWV values were associated with elevated systolic blood pressure (β = 0.05, P = .03). CONCLUSION This study demonstrated that oblique-sagittal phase-contrast MRI is a feasible technique for the quantification of both cPWV and ICA pulsatility index and showed their potential utility in evaluating cerebroarterial aging and age-related neurovascular disorders.
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Affiliation(s)
- Soroush Heidari Pahlavian
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Steven Yong Cen
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Xiaoming Bi
- Siemens Medical Solutions USA, Inc., Los Angeles, California, USA
| | - Danny J J Wang
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Helena Chang Chui
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Lirong Yan
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Department of Neurology, University of Southern California, Los Angeles, California, USA
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van Hespen KM, Mackaaij C, Waas ISE, de Bree MP, Zwanenburg JJM, Kuijf HJ, Daemen MJAP, Hendrikse J, Hermkens DMA. Arterial Remodeling of the Intracranial Arteries in Patients With Hypertension and Controls: A Postmortem Study. Hypertension 2020; 77:135-146. [PMID: 33222546 DOI: 10.1161/hypertensionaha.120.16029] [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] [Indexed: 11/16/2022]
Abstract
The intracranial arteries play a major role in cerebrovascular disease, but arterial remodeling due to hypertension has not been well described in humans. We aimed to quantify this remodeling for: the basilar artery, the vertebral, internal carotid, middle/anterior (inferior)/posterior cerebral, posterior communicating, and superior cerebellar arteries of the circle of Willis. Ex vivo circle of Willis specimens, selected from individuals with (n=24) and without (n=25) a history of hypertension, were imaged at 7T magnetic resonance imaging using a 3-dimensional gradient-echo sequence. Subsequently, histological analysis was performed. We validated the vessel wall thickness and area measurements from magnetic resonance imaging against histology. Next, we investigated potential differences in vessel wall thickness and area between both groups using both techniques. Finally, using histological analysis, we investigated potential differences in arterial wall stiffness and atherosclerotic plaque severity and load. All analyses were unadjusted. Magnetic resonance imaging and histology showed comparable vessel wall thickness (mean difference: 0.04 mm (limits of agreement:-0.12 to 0.19 mm) and area (0.43 mm2 [-0.97 to 1.8 mm2]) measurements. We observed no statistically significant differences in vessel wall thickness and area between both groups using either technique. Histological analysis showed early and advanced atherosclerotic plaques in almost all arteries for both groups. The arterial wall stiffness was significantly higher for the internal carotid artery in the hypertensive group. Concluding, we did not observe vessel wall thickening in the circle of Willis arteries in individuals with a history of hypertension using either technique. Using histological analysis, we observed a difference in vessel wall composition for the internal carotid artery.
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Affiliation(s)
- Kees M van Hespen
- From the Center for Image Sciences (K.M.v.H.), University Medical Center Utrecht, the Netherlands
| | - Claire Mackaaij
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Ingeborg S E Waas
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Marloes P de Bree
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Jaco J M Zwanenburg
- Department of Radiology (J.J.M.Z., J.H.), University Medical Center Utrecht, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute (H.J.K.), University Medical Center Utrecht, the Netherlands
| | - Mat J A P Daemen
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
| | - Jeroen Hendrikse
- Department of Radiology (J.J.M.Z., J.H.), University Medical Center Utrecht, the Netherlands
| | - Dorien M A Hermkens
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, the Netherlands (C.M., I.S.E.W., M.P.D.B., M.J.A.P.D., D.M.A.H.)
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Reavette RM, Sherwin SJ, Tang M, Weinberg PD. Comparison of arterial wave intensity analysis by pressure-velocity and diameter-velocity methods in a virtual population of adult subjects. Proc Inst Mech Eng H 2020; 234:1260-1276. [PMID: 32650691 PMCID: PMC7802055 DOI: 10.1177/0954411920926094] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 03/22/2020] [Indexed: 12/21/2022]
Abstract
Pressure-velocity-based analysis of arterial wave intensity gives clinically relevant information about the performance of the heart and vessels, but its utility is limited because accurate pressure measurements can only be obtained invasively. Diameter-velocity-based wave intensity can be obtained noninvasively using ultrasound; however, due to the nonlinear relationship between blood pressure and arterial diameter, the two wave intensities might give disparate clinical indications. To test the magnitude of the disagreement, we have generated an age-stratified virtual population to investigate how the two dominant nonlinearities viscoelasticity and strain-stiffening cause the two formulations to differ. We found strong agreement between the pressure-velocity and diameter-velocity methods, particularly for the systolic wave energy, the ratio between systolic and diastolic wave heights, and older subjects. The results are promising regarding the introduction of noninvasive wave intensities in the clinic.
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Affiliation(s)
- Ryan M Reavette
- Department of Bioengineering, Imperial College London, London, UK
| | | | - Mengxing Tang
- Department of Bioengineering, Imperial College London, London, UK
| | - Peter D Weinberg
- Department of Bioengineering, Imperial College London, London, UK
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Ayadi A, Sahtout W, Baledent O. A novel non-invasive method for estimating the local wave speed at a single site in the internal carotid artery. ACTA ACUST UNITED AC 2020; 65:557-566. [PMID: 32459188 DOI: 10.1515/bmt-2018-0088] [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: 05/25/2018] [Accepted: 01/10/2020] [Indexed: 01/09/2023]
Abstract
Objectives Local wave speed is a biomarker which provides an objective analysis of the cardiovascular function. The aim of this study was to determine the local wave speed in the internal carotid artery by a new non-invasive method that measures blood velocity waveform at only one site. Methods For this purpose, the cepstral analysis was employed to determine the arrival time of the reflection wave and the wave speed in the carotid artery. To validate our model, we applied it experimentally in vivo on young and old healthy subjects. The blood velocity waveform was measured by using phase-contrast magnetic resonance for 22 subjects. Results Our experimental results correlated with reference values reported in previous studies conducted on the internal arterial carotid usually adopting the invasive method. They also correlated with those obtained by using the foot-to-foot method (R2=0.72). The wave speed obtained by the method developed in this study and that of the foot-to-foot method increased with age (p<0.001). Conclusions The method developed in this study can be applied in the other arteries and it can also be used with other techniques such as ultrasound imaging.
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Affiliation(s)
- Asma Ayadi
- Higher Institute of Medical Technologies of Tunis, University of Tunis Manar, 9 Street Docteur Zouheïr Safi, 1006, Tunis, Tunisia
| | - Wassila Sahtout
- Higher Institute of Biotechnology of Sfax, University of Sfax, Soukra Road km 4, 3038, Sfax, Tunisia
| | - Olivier Baledent
- Department of Imaging and Biophysics, University of Picardie Jules Verne, CHU Amiens, 80054, Amiens, France
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Ordonez MV, Neumann S, Caputo M, Curtis S, Biglino G. Feasibility of Wave Intensity Analysis in Patients With Conotruncal Anomalies Before and After Pregnancy: New Physiological Insights? Front Pediatr 2020; 8:557407. [PMID: 33748034 PMCID: PMC7969497 DOI: 10.3389/fped.2020.557407] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 12/16/2020] [Indexed: 11/30/2022] Open
Abstract
Background: Conotruncal anomalies (CTA) are associated with ongoing dilation of the aortic root, as well as increased aortic stiffness, which may relate to intrinsic properties of the aorta. Pregnancy hormones lead to hemodynamic changes and remodeling of the tunica media, resulting in the opposite effect, i.e., increasing distensibility. These changes normalize post-pregnancy in healthy women but have not been fully investigated in CTA patients. Methods: We examined aortic distensibility and ventriculo-arterial coupling before and after pregnancy using cardiovascular magnetic resonance (CMR)-derived wave intensity analysis (WIA). Pre- and post-pregnancy CMR data were retrospectively analyzed. Aortic diameters were measured before, during, and after pregnancy by cardiac ultrasound and before and after pregnancy by CMR. Phase contrast MR flow sequences were used for calculating wave speed (c) and intensity (WI). A matched analysis was performed comparing results before and after pregnancy. Results: Thirteen women (n = 5, transposition of the great arteries; n = 6, tetralogy of Fallot; n = 1, double outlet right ventricle, n = 1, truncus arteriosus) had 19 pregnancies. Median time between delivery and second CMR was 2.3 years (range: 1-6 years). The aortic diameter increased significantly after pregnancy in nine (n = 9) patients by a median of 4 ± 2.3 mm (range: 2-7.0 mm, p = 0.01). There was no difference in c pre-/post-pregnancy (p = 0.73), suggesting that increased compliance, typically observed during pregnancy, does not persist long term. A significant inverse relationship was observed between c and heart rate (HR) after pregnancy (p = 0.01, r = 0.73). There was no significant difference in cardiac output, aortic/pulmonary regurgitation, or WI peaks pre-/post-pregnancy. Conclusions: WIA is feasible in this population and could provide physiological insights in larger cohorts. Aortic distensibility and wave intensity did not change before and after pregnancy in CTA patients, despite an increase in diameter, suggesting that pregnancy did not adversely affect coupling in the long-term.
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Affiliation(s)
- Maria Victoria Ordonez
- Bristol Heart Institute, University Hospitals Bristol, Bristol, United Kingdom.,Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sandra Neumann
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Massimo Caputo
- Bristol Heart Institute, University Hospitals Bristol, Bristol, United Kingdom.,Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Stephanie Curtis
- Bristol Heart Institute, University Hospitals Bristol, Bristol, United Kingdom
| | - Giovanni Biglino
- Bristol Heart Institute, University Hospitals Bristol, Bristol, United Kingdom.,Bristol Medical School, University of Bristol, Bristol, United Kingdom.,National Heart and Lung Institute, Imperial College London, London, United Kingdom
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