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van Schuppen J, van der Hulst AE, den Harder JM, Gottwald LM, van Luijk RD, van den Noort JC, Nelissen JL, Coerkamp CF, Boekholdt SM, Groot PFC, Nederveen A, van Ooij P, Planken RN. Prerequisites for Clinical Implementation of Whole-Heart 4D-Flow MRI: A Delphi Analysis. J Magn Reson Imaging 2024. [PMID: 39166882 DOI: 10.1002/jmri.29550] [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] [Revised: 07/09/2024] [Accepted: 07/11/2024] [Indexed: 08/23/2024] Open
Abstract
Whole-heart 4D-flow MRI is a valuable tool for advanced visualization and quantification of blood flow in cardiovascular imaging. Despite advantages over 2D-phase-contrast flow, clinical implementation remains only partially exploited due to many hurdles in all steps, from image acquisition, reconstruction, postprocessing and analysis, clinical embedment, reporting, legislation, and regulation to data storage. The intent of this manuscript was 1) to evaluate the extent of clinical implementation of whole-heart 4D-flow MRI, 2) to identify hurdles hampering clinical implementation, and 3) to reach consensus on requirements for clinical implementation of whole-heart 4D-flow MRI. This study is based on Delphi analysis. This study involves a panel of 18 experts in the field on whole-heart 4D-flow MRI. The experience with and opinions of experts (mean 13 years of experience, interquartile range 6) in the field were aggregated. This study showed that among experts in the cardiovascular field, whole-heart 4D-flow MRI is currently used for both clinical and research purposes. Overall, the panelists agreed that major hurdles currently hamper implementation and utilization. The sequence-specific hurdles identified were long scan time and lack of standardization. Further hurdles included cumbersome and time-consuming segmentation and postprocessing. The study concludes that implementation of whole-heart 4D-flow MRI in clinical routine is feasible, but the implementation process is complex and requires a dedicated, multidisciplinary team. A predefined plan, including risk assessment and technique validation, is essential. The reported consensus statements may guide further tool development and facilitate broader implementation and clinical use. LEVEL OF EVIDENCE: NA TECHNICAL EFFICACY: Stage 5.
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Affiliation(s)
- Joost van Schuppen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
- Atherosclerosis & Ischemic Syndromes, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Annelies E van der Hulst
- Emma Children's Hospital, Department of Pediatric Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - J Michiel den Harder
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
- Medical Imaging Quantification Centre, Amsterdam UMC, Academic Medical Center, Amsterdam, The Netherlands
| | - Lukas M Gottwald
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Raschel D van Luijk
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Josien C van den Noort
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
- Medical Imaging Quantification Centre, Amsterdam UMC, Academic Medical Center, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Jules L Nelissen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Casper F Coerkamp
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
- Atherosclerosis & Ischemic Syndromes, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - S Matthijs Boekholdt
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Paul F C Groot
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Aart Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Pim van Ooij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - R Nils Planken
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands
- Atherosclerosis & Ischemic Syndromes, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
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Silva Ferreira MV, Soares CSP, Araujo-Filho JDAB, Dantas RN, Torres RVA, Morais TC, Avila LFR, Ishikawa W, Nomura CH, Rajiah PS, Parga Filho J. Mitral Annular Disease at Cardiac MRI: What to Know and Look For. Radiographics 2024; 44:e230156. [PMID: 38870043 DOI: 10.1148/rg.230156] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
Accurate evaluation of the mitral valve (MV) apparatus is essential for understanding the mechanisms of MV disease across various clinical scenarios. The mitral annulus (MA) is a complex and crucial structure that supports MV function; however, conventional imaging techniques have limitations in fully capturing the entirety of the MA. Moreover, recognizing annular changes might aid in identifying patients who may benefit from advanced cardiac imaging and interventions. Multimodality cardiovascular imaging plays a major role in the diagnosis, prognosis, and management of MV disease. Transthoracic echocardiography is the first-line modality for evaluation of the MA, but it has limitations. Cardiac MRI (CMR) has emerged as a robust imaging modality for assessing annular changes, with distinct advantages over other imaging techniques, including accurate flow and volumetric quantification and assessment of variations in the measurements and shape of the MA during the cardiac cycle. Mitral annular disjunction (MAD) is defined as atrial displacement of the hinge point of the MV annulus away from the ventricular myocardium, a condition that is now more frequently diagnosed and studied owing to recent technical advances in cardiac imaging. However, several unresolved issues regarding MAD, such as the functional significance of pathologic disjunction and how this disjunction advances in the clinical course, require further investigation. The authors review the role of CMR in the assessment of MA disease, with a focus on MAD and its functional implications in MV prolapse and mitral regurgitation. ©RSNA, 2024 Supplemental material is available for this article. See the invited commentary by Stojanovska and Fujikura in this issue.
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Affiliation(s)
- Marcus Vinicius Silva Ferreira
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Clarice Santos Parreira Soares
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Jose de Arimateia Batista Araujo-Filho
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Roberto Nery Dantas
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Roberto Vitor Almeida Torres
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Thamara Carvalho Morais
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Luis Francisco Rodrigues Avila
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Walther Ishikawa
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Cesar Higa Nomura
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Prabhakar Shantha Rajiah
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
| | - Jose Parga Filho
- From the Department of Radiology, Hospital Sirio-Libanes, Rua Adma Jafet, 91, Sao Paulo, SP 01308-050, Brazil (M.V.S.F., C.S.P.S., J.dA.B.A.F., R.N.D., R.V.A.T., T.C.M., L.F.R.A., C.H.N., J.P.F.); Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, SP 05652-900, Brazil (W.I.); and Department of Radiology, Mayo Clinic, Rochester, MN 55905 (P.S.R.)
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Rooijakkers MJP, El Messaoudi S, Stens NA, van Wely MH, Habets J, Brink M, Rodwell L, Giese D, van der Geest RJ, van Royen N, Nijveldt R. Assessment of paravalvular regurgitation after transcatheter aortic valve replacement using 2D multi-velocity encoding and 4D flow cardiac magnetic resonance. Eur Heart J Cardiovasc Imaging 2024; 25:929-936. [PMID: 38306632 PMCID: PMC11210991 DOI: 10.1093/ehjci/jeae035] [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: 12/22/2023] [Accepted: 01/26/2024] [Indexed: 02/04/2024] Open
Abstract
AIMS To compare the novel 2D multi-velocity encoding (venc) and 4D flow acquisitions with the standard 2D flow acquisition for the assessment of paravalvular regurgitation (PVR) after transcatheter aortic valve replacement (TAVR) using cardiac magnetic resonance (CMR)-derived regurgitant fraction (RF). METHODS AND RESULTS In this prospective study, patients underwent CMR 1 month after TAVR for the assessment of PVR, for which 2D multi-venc and 4D flow were used, in addition to standard 2D flow. Scatterplots and Bland-Altman plots were used to assess correlation and visualize agreement between techniques. Reproducibility of measurements was assessed with intraclass correlation coefficients. The study included 21 patients (mean age ± SD 80 ± 5 years, 9 men). The mean RF was 11.7 ± 10.0% when standard 2D flow was used, 10.6 ± 7.0% when 2D multi-venc flow was used, and 9.6 ± 7.3% when 4D flow was used. There was a very strong correlation between the RFs assessed with 2D multi-venc and standard 2D flow (r = 0.88, P < 0.001), and a strong correlation between the RFs assessed with 4D flow and standard 2D flow (r = 0.74, P < 0.001). Bland-Altman plots revealed no substantial bias between the RFs (2D multi-venc: 1.3%; 4D flow: 0.3%). Intra-observer and inter-observer reproducibility for 2D multi-venc flow were 0.98 and 0.97, respectively, and 0.92 and 0.90 for 4D flow, respectively. CONCLUSION Two-dimensional multi-venc and 4D flow produce an accurate quantification of PVR after TAVR. The fast acquisition of the 2D multi-venc sequence and the free-breathing acquisition with retrospective plane selection of the 4D flow sequence provide useful advantages in clinical practice, especially in the frail TAVR population.
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Affiliation(s)
- Maxim J P Rooijakkers
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Saloua El Messaoudi
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Niels A Stens
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
- Department of Medical BioSciences, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Marleen H van Wely
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Jesse Habets
- Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
- Department of Radiology and Nuclear Medicine, Haaglanden Medical Centre, The Hague, The Netherlands
| | - Monique Brink
- Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Laura Rodwell
- Department of Health Sciences, Section Biostatistics, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Daniel Giese
- Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany
- Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany
| | - Rob J van der Geest
- Department of Medical Imaging, Leiden University Medical Centre, Leiden, The Netherlands
| | - Niels van Royen
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
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In de Braekt T, Aben JP, Maussen M, van den Bosch HCM, Houthuizen P, Roest AAW, van den Boogaard PJ, Lamb HJ, Westenberg JJM. Fully Automated Valve Segmentation for Blood Flow Assessment From 4D Flow MRI Including Automated Cardiac Valve Tracking and Transvalvular Velocity Mapping. J Magn Reson Imaging 2024. [PMID: 38558490 DOI: 10.1002/jmri.29370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Automated 4D flow MRI valvular flow quantification without time-consuming manual segmentation might improve workflow. PURPOSE Compare automated valve segmentation (AS) to manual (MS), and manually corrected automated segmentation (AMS), in corrected atrioventricular septum defect (c-AVSD) patients and healthy volunteers, for assessing net forward volume (NFV) and regurgitation fraction (RF). STUDY TYPE Retrospective. POPULATION 27 c-AVSD patients (median, 23 years; interquartile range, 16-31 years) and 24 healthy volunteers (25 years; 12.5-36.5 years). FIELD STRENGTH/SEQUENCE Whole-heart 4D flow MRI and cine steady-state free precession at 3T. ASSESSMENT After automatic valve tracking, valve annuli were segmented on time-resolved reformatted trans-valvular velocity images by AS, MS, and AMS. NFV was calculated for all valves, and RF for right and left atrioventricular valves (RAVV and LAVV). NFV variation (standard deviation divided by mean NFV) and NFV differences (NFV difference of a valve vs. mean NFV of other valves) expressed internal NFV consistency. STATISTICAL TESTS Comparisons between methods were assessed by Wilcoxon signed-rank tests, and intra/interobserver variability by intraclass correlation coefficients (ICCs). P < 0.05 was considered statistically significant, with multiple testing correction. RESULTS AMS mean analysis time was significantly shorter compared with MS (5.3 ± 1.6 minutes vs. 9.1 ± 2.5 minutes). MS NFV variation (6.0%) was significantly smaller compared with AMS (6.3%), and AS (8.2%). Median NFV difference of RAVV, LAVV, PV, and AoV between segmentation methods ranged from -0.7-1.0 mL, -0.5-2.8 mL, -1.1-3.6 mL, and - 3.1--2.1 mL, respectively. Median RAVV and LAVV RF, between 7.1%-7.5% and 3.8%-4.3%, respectively, were not significantly different between methods. Intraobserver/interobserver agreement for AMS and MS was strong-to-excellent for NFV and RF (ICC ≥0.88). DATA CONCLUSION MS demonstrates strongest internal consistency, followed closely by AMS, and AS. Automated segmentation, with or without manual correction, can be considered for 4D flow MRI valvular flow quantification. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Thomas In de Braekt
- Department of Radiology, Catharina Hospital, Eindhoven, the Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Marc Maussen
- Pie Medical Imaging BV, Maastricht, the Netherlands
| | | | - Patrick Houthuizen
- Department of Cardiology, Catharina Hospital, Eindhoven, the Netherlands
| | - Arno A W Roest
- Department of Pediatric Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Hildo J Lamb
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jos J M Westenberg
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Chinawa JM, Chinawa AT, Chukwu BF, Onyia JT. Assessment of descending aortic blood flow velocities with continuous wave Doppler echocardiography among healthy Children in South East Nigeria. Malawi Med J 2024; 36:1-6. [PMID: 39086365 PMCID: PMC11287811 DOI: 10.4314/mmj.v36i.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2024] Open
Abstract
Background The descending aorta velocity is important predictor of aortic disease in children and can be very helpful in some clinical and surgical decision making. Aim The purpose of this study is to assess the normative values of descending aorta velocity among children from South-East Nigeria. It also aimed to assess the correlation between age, body surface area and mean velocity across the descending aorta. Methods This is a cross-sectional study where the descending aorta velocity of one hundred and eleven children were enrolled consecutively using digitized two-dimensional and Doppler echocardiography. Results A total of 111 children had echocardiography to study their cardiac structures and compute their mean scores of their descending aorta velocity. The mean velocity across the descending aorta was 1.3±0.2m/s with maximum and minimum velocities of 2.06 and 0.84cm respectively. The mean descending aorta velocity in males (1.37±0.24 m/s) was significantly higher than that in females (1.24±0.18); (Student T test 3.09, p = 0.03). There was no correlation between age and mean velocity across the descending aorta (Pearson correlation coefficient; -0.03, p = 0.7) nor between body surface area and descending aorta velocity (correlation coefficient 0.01, p= 0.8). Conclusions The presented normalized values of the descending aorta velocity using a digitized two-dimensional and Doppler echocardiography among healthy children will serve as a reference values for further studies and can be applied for clinical and surgical use in children with various cardiac anomalies.
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Affiliation(s)
- Josephat M Chinawa
- Department of Paediatrics, College of Medicine, University of Nigeria Ituku/Ozalla and University of Nigeria Teaching Hospital Ituku/Ozalla, Enugu, Enugu State, Nigeria
| | - Awoere T Chinawa
- Department of Community Medicine, ESUCOM, Parklane Enugu, Enugu State, Nigeria
| | | | - Jude T Onyia
- Department of Community Medicine, ESUCOM, Parklane Enugu, Enugu State, Nigeria
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Sachdeva R, Armstrong AK, Arnaout R, Grosse-Wortmann L, Han BK, Mertens L, Moore RA, Olivieri LJ, Parthiban A, Powell AJ. Novel Techniques in Imaging Congenital Heart Disease: JACC Scientific Statement. J Am Coll Cardiol 2024; 83:63-81. [PMID: 38171712 PMCID: PMC10947556 DOI: 10.1016/j.jacc.2023.10.025] [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: 07/21/2023] [Revised: 10/05/2023] [Accepted: 10/13/2023] [Indexed: 01/05/2024]
Abstract
Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visualization of complex cardiac anatomy and improved assessment of physiology. These advances have become increasingly important as more complex surgical and catheter-based procedures are evolving to address the needs of a growing congenital heart disease population. This state-of-the-art review presents advances in echocardiography, cardiac magnetic resonance, cardiac computed tomography, invasive angiography, 3-dimensional modeling, and digital twin technology. The paper also highlights the integration of artificial intelligence with imaging technology. While some techniques are in their infancy and need further refinement, others have found their way into clinical workflow at well-resourced centers. Studies to evaluate the clinical value and cost-effectiveness of these techniques are needed. For techniques that enhance the value of care for congenital heart disease patients, resources will need to be allocated for education and training to promote widespread implementation.
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Affiliation(s)
- Ritu Sachdeva
- Department of Pediatrics, Division of Pediatric Cardiology, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, Georgia, USA.
| | - Aimee K Armstrong
- The Heart Center, Nationwide Children's Hospital, Department of Pediatrics, Division of Cardiology, Ohio State University, Columbus, Ohio, USA
| | - Rima Arnaout
- Division of Cardiology, Department of Medicine, University of California-San Francisco, San Francisco, California, USA
| | - Lars Grosse-Wortmann
- Division of Cardiology, Department of Pediatrics, Oregon Health and Science University, Portland, Oregon, USA
| | - B Kelly Han
- Division of Cardiology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Luc Mertens
- Division of Cardiology, Department of Pediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ryan A Moore
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Laura J Olivieri
- Division of Cardiology, Department of Pediatrics, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Anitha Parthiban
- Department of Cardiology, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA
| | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
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Sodhi A, Markl M, Popescu AR, Griffin LM, Robinson JD, Rigsby CK. Highly accelerated compressed sensing 4D flow MRI in congenital and acquired heart disease: comparison of aorta and main pulmonary artery flow parameters with conventional 4D flow MRI in children and young adults. Pediatr Radiol 2023; 53:2597-2607. [PMID: 37882844 DOI: 10.1007/s00247-023-05788-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/19/2023] [Accepted: 09/28/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Four-dimensional flow (4D flow) MRI has become a clinically utilized cardiovascular flow assessment tool. However, scans can be lengthy and may require anesthesia in younger children. Adding compressed sensing can decrease scan time, but its impact on hemodynamic data accuracy needs additional assessment. OBJECTIVE To compare 4D flow hemodynamics acquired with and without compressed sensing. MATERIALS AND METHODS Twenty-seven patients (median age: 13 [IQR: 9.5] years) underwent conventional and compressed sensing cardiovascular 4D flow following informed consent. Conventional 4D flow was performed using parallel imaging and an acceleration factor of 2. Compressed sensing 4D flow was performed with an acceleration factor of 7.7. Regions of interest were placed to compare flow parameters in the ascending aorta and main pulmonary artery. Paired Student's t-tests, Wilcoxon signed-rank tests, Bland-Altman plots, and intraclass correlation coefficients were conducted. A P-value of < 0.05 was considered statistically significant. RESULTS Mean scan acquisition time was reduced by 59% using compressed sensing (3.4 vs. 8.2 min, P < 0.001). Flow quantification was similar for compressed sensing and conventional 4D flow for the ascending aorta net flow: 47 vs. 49 ml/beat (P = 0.28); forward flow: 49 vs. 50 ml/beat (P = 0.07), and main pulmonary artery net flow: 49 vs. 51 ml/beat (P = 0.18); forward flow: 50 vs. 55 ml/beat (P = 0.07). Peak systolic velocity was significantly underestimated by compressed sensing 4D flow in the ascending aorta: 114 vs. 128 cm/s (P < 0.001) and main pulmonary artery: 106 vs. 112 cm/s (P = 0.02). CONCLUSION For both the aorta and main pulmonary artery, compressed sensing 4D flow provided equivalent net and forward flow values compared to conventional 4D flow but underestimated peak systolic velocity. By reducing scan time, compressed sensing 4D flow may decrease the need for anesthesia and increase scanner output without significantly compromising data integrity.
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Affiliation(s)
- Aparna Sodhi
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, USA.
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, McCormick School of Engineering, Evanston, IL, USA
| | - Andrada R Popescu
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lindsay M Griffin
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Joshua D Robinson
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Division of Cardiology, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Cynthia K Rigsby
- Department of Medical Imaging, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue #9, Chicago, IL, 60611, USA
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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8
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Wieben O, Roberts GS, Corrado PA, Johnson KM, Roldán-Alzate A. Four-Dimensional Flow MR Imaging: Technique and Advances. Magn Reson Imaging Clin N Am 2023; 31:433-449. [PMID: 37414470 DOI: 10.1016/j.mric.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
4D Flow MRI is an advanced imaging technique for comprehensive non-invasive assessment of the cardiovascular system. The capture of the blood velocity vector field throughout the cardiac cycle enables measures of flow, pulse wave velocity, kinetic energy, wall shear stress, and more. Advances in hardware, MRI data acquisition and reconstruction methodology allow for clinically feasible scan times. The availability of 4D Flow analysis packages allows for more widespread use in research and the clinic and will facilitate much needed multi-center, multi-vendor studies in order to establish consistency across scanner platforms and to enable larger scale studies to demonstrate clinical value.
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Affiliation(s)
- Oliver Wieben
- Department of Medical Physics, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Suite 1127, Madison, WI 53705-2275, USA; Department of Radiology, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Suite 1127, Madison, WI 53705-2275, USA.
| | - Grant S Roberts
- Department of Medical Physics, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Madison, WI 53705-2275, USA
| | - Philip A Corrado
- Accuray Incorporated, 1414 Raleigh Road, Suite 330, DurhamChapel Hill, NC 27517, USA
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 1133, Madison, WI 53705-2275, USA; Department of Radiology, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 1133, Madison, WI 53705-2275, USA
| | - Alejandro Roldán-Alzate
- Department of Mechanical Engineering, University of Wisconsin-Madison, Room: 3035, 1513 University Avenue, Madison, WI 53706, USA; Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA
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9
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Maroun A, Quinn S, Dushfunian D, Weiss EK, Allen BD, Carr JC, Markl M. Clinical Applications of Four-Dimensional Flow MRI. Magn Reson Imaging Clin N Am 2023; 31:451-460. [PMID: 37414471 DOI: 10.1016/j.mric.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Four-dimensional flow MRI is a powerful phase contrast technique used for assessing three-dimensional (3D) blood flow dynamics. By acquiring a time-resolved velocity field, it enables flexible retrospective analysis of blood flow that can include qualitative 3D visualization of complex flow patterns, comprehensive assessment of multiple vessels, reliable placement of analysis planes, and calculation of advanced hemodynamic parameters. This technique provides several advantages over routine two-dimensional flow imaging techniques, allowing it to become part of clinical practice at major academic medical centers. In this review, we present the current state-of-the-art cardiovascular, neurovascular, and abdominal applications.
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Affiliation(s)
- Anthony Maroun
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA.
| | - Sandra Quinn
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - David Dushfunian
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Elizabeth K Weiss
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Bradley D Allen
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - James C Carr
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
| | - Michael Markl
- Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA
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10
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Assadi H, Li R, Grafton-Clarke C, Uthayachandran B, Alabed S, Maiter A, Archer G, Swoboda PP, Sawh C, Ryding A, Nelthorpe F, Kasmai B, Ricci F, van der Geest RJ, Flather M, Vassiliou VS, Swift AJ, Garg P. Automated 4D flow cardiac MRI pipeline to derive peak mitral inflow diastolic velocities using short-axis cine stack: two centre validation study against echocardiographic pulse-wave doppler. BMC Cardiovasc Disord 2023; 23:24. [PMID: 36647000 PMCID: PMC9843884 DOI: 10.1186/s12872-023-03052-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 01/09/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Measurement of peak velocities is important in the evaluation of heart failure. This study compared the performance of automated 4D flow cardiac MRI (CMR) with traditional transthoracic Doppler echocardiography (TTE) for the measurement of mitral inflow peak diastolic velocities. METHODS Patients with Doppler echocardiography and 4D flow cardiac magnetic resonance data were included retrospectively. An established automated technique was used to segment the left ventricular transvalvular flow using short-axis cine stack of images. Peak mitral E-wave and peak mitral A-wave velocities were automatically derived using in-plane velocity maps of transvalvular flow. Additionally, we checked the agreement between peak mitral E-wave velocity derived by 4D flow CMR and Doppler echocardiography in patients with sinus rhythm and atrial fibrillation (AF) separately. RESULTS Forty-eight patients were included (median age 69 years, IQR 63 to 76; 46% female). Data were split into three groups according to heart rhythm. The median peak E-wave mitral inflow velocity by automated 4D flow CMR was comparable with Doppler echocardiography in all patients (0.90 ± 0.43 m/s vs 0.94 ± 0.48 m/s, P = 0.132), sinus rhythm-only group (0.88 ± 0.35 m/s vs 0.86 ± 0.38 m/s, P = 0.54) and in AF-only group (1.33 ± 0.56 m/s vs 1.18 ± 0.47 m/s, P = 0.06). Peak A-wave mitral inflow velocity results had no significant difference between Doppler TTE and automated 4D flow CMR (0.81 ± 0.44 m/s vs 0.81 ± 0.53 m/s, P = 0.09) in all patients and sinus rhythm-only groups. Automated 4D flow CMR showed a significant correlation with TTE for measurement of peak E-wave in all patients group (r = 0.73, P < 0.001) and peak A-wave velocities (r = 0.88, P < 0.001). Moreover, there was a significant correlation between automated 4D flow CMR and TTE for peak-E wave velocity in sinus rhythm-only patients (r = 0.68, P < 0.001) and AF-only patients (r = 0.81, P = 0.014). Excellent intra-and inter-observer variability was demonstrated for both parameters. CONCLUSION Automated dynamic peak mitral inflow diastolic velocity tracing using 4D flow CMR is comparable to Doppler echocardiography and has excellent repeatability for clinical use. However, 4D flow CMR can potentially underestimate peak velocity in patients with AF.
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Affiliation(s)
- Hosamadin Assadi
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Rui Li
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Ciaran Grafton-Clarke
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bhalraam Uthayachandran
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Samer Alabed
- grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK ,grid.31410.370000 0000 9422 8284Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ahmed Maiter
- grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK ,grid.31410.370000 0000 9422 8284Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Gareth Archer
- grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | - Peter P. Swoboda
- grid.9909.90000 0004 1936 8403Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Chris Sawh
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Alisdair Ryding
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Faye Nelthorpe
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Bahman Kasmai
- grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Fabrizio Ricci
- grid.412451.70000 0001 2181 4941Department of Neuroscience, Imaging and Clinical Sciences, “G.d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Rob J. van der Geest
- grid.10419.3d0000000089452978Department of Radiology, Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands
| | - Marcus Flather
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Vassilios S. Vassiliou
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK
| | - Andrew J. Swift
- grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK ,grid.31410.370000 0000 9422 8284Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Pankaj Garg
- grid.8273.e0000 0001 1092 7967Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ UK ,grid.240367.40000 0004 0445 7876Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK ,grid.31410.370000 0000 9422 8284Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
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11
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Kato Y, Tao S, Lima JAC. Editorial for “Highly Accelerated Compressed Sensing
4D
Flow for Intra‐Cardiac Flow Assessment”. J Magn Reson Imaging 2022. [DOI: 10.1002/jmri.28526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/17/2022] Open
Affiliation(s)
- Yoko Kato
- Division of Cardiology Johns Hopkins University Baltimore Maryland USA
| | - Susumu Tao
- Department of Cardiology Tokyo Medical and Dental University Tokyo Japan
| | - Joao A. C. Lima
- Division of Cardiology Johns Hopkins University Baltimore Maryland USA
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