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Dweck MR, Loganath K, Bing R, Treibel TA, McCann GP, Newby DE, Leipsic J, Fraccaro C, Paolisso P, Cosyns B, Habib G, Cavalcante J, Donal E, Lancellotti P, Clavel MA, Otto CM, Pibarot P. Multi-modality imaging in aortic stenosis: an EACVI clinical consensus document. Eur Heart J Cardiovasc Imaging 2023; 24:1430-1443. [PMID: 37395329 DOI: 10.1093/ehjci/jead153] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 06/16/2023] [Indexed: 07/04/2023] Open
Abstract
In this EACVI clinical scientific update, we will explore the current use of multi-modality imaging in the diagnosis, risk stratification, and follow-up of patients with aortic stenosis, with a particular focus on recent developments and future directions. Echocardiography is and will likely remain the key method of diagnosis and surveillance of aortic stenosis providing detailed assessments of valve haemodynamics and the cardiac remodelling response. Computed tomography (CT) is already widely used in the planning of transcutaneous aortic valve implantation. We anticipate its increased use as an anatomical adjudicator to clarify disease severity in patients with discordant echocardiographic measurements. CT calcium scoring is currently used for this purpose; however, contrast CT techniques are emerging that allow identification of both calcific and fibrotic valve thickening. Additionally, improved assessments of myocardial decompensation with echocardiography, cardiac magnetic resonance, and CT will become more commonplace in our routine assessment of aortic stenosis. Underpinning all of this will be widespread application of artificial intelligence. In combination, we believe this new era of multi-modality imaging in aortic stenosis will improve the diagnosis, follow-up, and timing of intervention in aortic stenosis as well as potentially accelerate the development of the novel pharmacological treatments required for this disease.
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Affiliation(s)
- Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Krithika Loganath
- Centre for Cardiovascular Science, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Rong Bing
- Centre for Cardiovascular Science, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Thomas A Treibel
- Barts Heart Centre, Bart's Health NHS Trust, W Smithfield, EC1A 7BE, London, UK
- University College London Institute of Cardiovascular Science, 62 Huntley St, WC1E 6DD, London, UK
| | - Gerry P McCann
- Department of Cardiovascular Sciences, University of Leicester, University Rd, Leicester LE1 7RH, UK
- The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Jonathon Leipsic
- Centre for Cardiovascular Innovation, St Paul's and Vancouver General Hospital, 1081 Burrard St Room 166, Vancouver, British Columbia V6Z 1Y6, Canada
| | - Chiara Fraccaro
- Department of Cardiac, Thoracic and Vascular Science and Public Health, Via Giustiniani, 2 - 35128, Padua, Italy
| | - Pasquale Paolisso
- Cardiovascular Center Aalst, OLV Clinic, Moorselbaan 164, 9300 Aalst, Belgium
- Department of Advanced Biomedical Sciences, University of Naples, Federico II, 80125 Naples, Italy
| | - Bernard Cosyns
- Department of Cardiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Belgium
| | - Gilbert Habib
- Cardiology Department, Hôpital La Timone, 264 Rue Saint-Pierre, 13005 Marseille, France
| | - João Cavalcante
- Allina Health Minneapolis Heart Institute, Abbott Northwestern Hospital, 800 E 28th St, Minneapolis, MN 55407, USA
| | - Erwan Donal
- Cardiology and CIC, Université Rennes, 2 Rue Henri Le Guilloux, 35033 Rennes, France
| | - Patrizio Lancellotti
- GIGA Cardiovascular Sciences, Department of Cardiology, University of Liège Hospital, CHU Sart Tilman, Liège, Belgium
- Gruppo Villa Maria Care and Research, Corso Giuseppe Garibaldi, 11, 48022 Lugo RA, Italy
| | - Marie-Annick Clavel
- Institut Universitaire de Cardiologie et de Pneumologie de Québec/Québec Heart and Lung Institute, 2725 Ch Ste-Foy, Québec, QC G1V 4G5, Canada
- Faculté de Médecine-Département de Médecine, Université Laval, Ferdinand Vandry Pavillon, 1050 Av. de la Médecine, Québec City, Quebec G1V 0A6, Canada
| | - Catherine M Otto
- Division of Cardiology, Department of Medicine, University of Washington School of Medicine, 4333 Brooklyn Ave NE Box 359458, Seattle, WA 98195-9458, USA
| | - Phillipe Pibarot
- Institut Universitaire de Cardiologie et de Pneumologie de Québec/Québec Heart and Lung Institute, 2725 Ch Ste-Foy, Québec, QC G1V 4G5, Canada
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Guillén Subirán ME, Ros Mendoza LH, Angulo Herviás E, Yagüe Romeo D, Núñez Motilva ME. Multidetector computed tomography evaluation of candidates for transcatheter aortic valve implantation. RADIOLOGIA 2017; 60:24-38. [PMID: 29032806 DOI: 10.1016/j.rx.2017.08.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 08/01/2017] [Accepted: 08/05/2017] [Indexed: 10/18/2022]
Abstract
In transcatheter aortic valve implantation (TAVI), a biologic valve mounted in a stent is implanted without removing the native valve. This procedure was first done in humans by Alain Cribier in 2002 and was included in clinical guidelines after the multicenter PARTNER (Placement of AoRtic TraNscathetER) randomized clinical trial, which showed that TAVI obtained better outcomes than conservative medical treatment and is an alternative to surgery in patients with high surgical risk. Candidates for TAVI must be assessed to determine whether the procedure is feasible, because TAVI is not ideal for all patients who are considered inoperable. Multidetector computed tomography plays an important role in the anatomic evaluation of candidates and in guiding the procedure in those who are finally selected.
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Affiliation(s)
- M E Guillén Subirán
- Servicio de Radiodiagnóstico, Hospital Universitario Miguel Servet, Zaragoza, España.
| | - L H Ros Mendoza
- Servicio de Radiodiagnóstico, Hospital Universitario Miguel Servet, Zaragoza, España
| | - E Angulo Herviás
- Servicio de Radiodiagnóstico, Hospital Universitario Miguel Servet, Zaragoza, España
| | - D Yagüe Romeo
- Servicio de Radiodiagnóstico, Hospital Universitario Miguel Servet, Zaragoza, España
| | - M E Núñez Motilva
- Servicio de Radiodiagnóstico, Hospital Universitario Miguel Servet, Zaragoza, España
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Gao X, Kitslaar PH, Budde RPJ, Tu S, de Graaf MA, Xu L, Xu B, Scholte AJHA, Dijkstra J, Reiber JHC. Automatic detection of aorto-femoral vessel trajectory from whole-body computed tomography angiography data sets. Int J Cardiovasc Imaging 2016; 32:1311-22. [PMID: 27209285 DOI: 10.1007/s10554-016-0901-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 04/22/2016] [Indexed: 12/19/2022]
Abstract
Extraction of the aorto-femoral vessel trajectory is important to utilize computed tomography angiography (CTA) in an integrated workflow of the image-guided work-up prior to trans-catheter aortic valve replacement (TAVR). The aim of this study was to develop a new, fully-automated technique for the extraction of the entire arterial access route from the femoral artery to the aortic root. An automatic vessel tracking algorithm was first used to find the centerline that connected the femoral accessing points and the aortic root. Subsequently, a deformable 3D-model fitting method was used to delineate the lumen boundary of the vascular trajectory in the whole-body CTA dataset. A validation was carried out by comparing the automatically obtained results with semi-automatically obtained results from two experienced observers. The whole framework was validated on whole body CTA datasets of 36 patients. The average Dice similarity indexes between the segmentations of the automatic method and observer 1 for the left ilio-femoral artery, the right ilio-femoral artery and the aorta were 0.977 ± 0.030, 0.980 ± 0.019, 0.982 ± 0.016; the average Dice similarity indexes between the segmentations of the automatic method and observer 2 were 0.950 ± 0.040, 0.954 ± 0.031 and 0.965 ± 0.019, respectively. The inter-observer variability resulted in a Dice similarity index of 0.954 ± 0.038, 0.952 ± 0.031 and 0.969 ± 0.018 for the left ilio-femoral artery, the right ilio-femoral artery and the aorta. The average minimal luminal diameters (MLDs) of the ilio-femoral artery were 6.03 ± 1.48, 5.70 ± 1.43 and 5.52 ± 1.32 mm for the automatic method, observer 1 and observer 2 respectively. The MLDs of the aorta were 13.43 ± 2.54, 12.40 ± 2.93 and 12.08 ± 2.40 mm for the automatic method, observer 1 and observer 2 respectively. The automatic measurement overestimated the MLD slightly in the ilio-femoral artery at the average by 0.323 mm (SD = 0.49 mm, p < 0.001) compared to observer 1 and by 0.51 mm (SD = 0.71 mm, p < 0.001) compared to observer 2. The proposed segmentation approach can automatically provide reliable measurements of the entire arterial accessing route that can be used to support TAVR procedures. To the best of our knowledges, this approach is the first fully automatic segmentation method of the whole aorto-femoral vessel trajectory in CTA images.
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Affiliation(s)
- Xinpei Gao
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, 9600, 2300 RC, Leiden, The Netherlands
| | - Pieter H Kitslaar
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, 9600, 2300 RC, Leiden, The Netherlands.
- Medis medical imaging systems b.v., Leiden, The Netherlands.
| | - Ricardo P J Budde
- Department of Radiology, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Shengxian Tu
- Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Michiel A de Graaf
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liang Xu
- Catheterization Laboratory, National Center for Cardiovascular Diseases of China and Fu Wai Hospital, Beijing, China
| | - Bo Xu
- Catheterization Laboratory, National Center for Cardiovascular Diseases of China and Fu Wai Hospital, Beijing, China
| | - Arthur J H A Scholte
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jouke Dijkstra
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, 9600, 2300 RC, Leiden, The Netherlands
| | - Johan H C Reiber
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, 9600, 2300 RC, Leiden, The Netherlands
- Medis medical imaging systems b.v., Leiden, The Netherlands
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