Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis
ABSTRACT: Background: Coronary computed tomography angiography (CCTA) is recommended as the first-line diagnostic imaging modality in low-to-intermediate-risk individuals suspected of stable coronary artery disease (CAD). However, CCTA exposes patients to ionizing radiation and potentially nephroto...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
|
| Series: | Journal of Cardiovascular Magnetic Resonance |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1097664724011244 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846121420694749184 |
|---|---|
| author | Gregory Wood Reza Hajhosseiny Alexandra Uglebjerg Pedersen Simon Littlewood Tina Juul Hansen Radhouene Neji Karl P. Kunze Jens Wetzl Bjarne Linde Nørgaard Jesper Møller Jensen Michael Maeng Per Lav Madsen Niels Vejlstrup Claudia Prieto René M. Botnar Won Yong Kim |
| author_facet | Gregory Wood Reza Hajhosseiny Alexandra Uglebjerg Pedersen Simon Littlewood Tina Juul Hansen Radhouene Neji Karl P. Kunze Jens Wetzl Bjarne Linde Nørgaard Jesper Møller Jensen Michael Maeng Per Lav Madsen Niels Vejlstrup Claudia Prieto René M. Botnar Won Yong Kim |
| author_sort | Gregory Wood |
| collection | DOAJ |
| description | ABSTRACT: Background: Coronary computed tomography angiography (CCTA) is recommended as the first-line diagnostic imaging modality in low-to-intermediate-risk individuals suspected of stable coronary artery disease (CAD). However, CCTA exposes patients to ionizing radiation and potentially nephrotoxic contrast agents. Invasive coronary angiography is the gold-standard investigation to guide coronary revascularisation strategy; however, invasive procedures incur an inherent risk to the patient. Coronary magnetic resonance angiography (CMRA) avoids these issues. Nevertheless, clinical implementation is currently limited due to extended scanning durations, inconsistent image quality, and consequent lack of diagnostic accuracy. Several technical CMRA innovations, including advanced respiratory motion correction with 100% scan efficiency (no data rejection), fast image acquisition with motion-corrected undersampled image reconstruction, and deep-learning–based automated planning, have been implemented and now await clinical validation in multi-center trials. Methods: The objective of the image navigator–based, automated CMRA prospective multi-center study is to evaluate the diagnostic accuracy of a newly developed, state-of-the-art, standardized, and automated CMRA framework compared to CCTA in 201 patients undergoing clinical investigation for CAD. The study protocol mandates the administration of oral beta-blockers to decrease heart rate to below 60 bpm and the use of sublingual nitroglycerine spray to induce vasodilation. Additionally, the study incorporates the utilization of standardized postprocessing with sliding-thin-slab multiplanar reformatting, in combination with evaluation of the source images, to optimize the visualization of coronary artery stenosis. Discussion: If proven effective, CMRA could provide a non-invasive, needle-free, yet also clinically viable, alternative to CCTA. Trial Registration: This study is registered at ClinicalTrials.gov (NCT05473117). |
| format | Article |
| id | doaj-art-ccdd93f9ed2d4284a5f2d2ab84fa39fc |
| institution | Kabale University |
| issn | 1097-6647 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Cardiovascular Magnetic Resonance |
| spelling | doaj-art-ccdd93f9ed2d4284a5f2d2ab84fa39fc2024-12-16T05:34:51ZengElsevierJournal of Cardiovascular Magnetic Resonance1097-66472024-01-01262101097Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosisGregory Wood0Reza Hajhosseiny1Alexandra Uglebjerg Pedersen2Simon Littlewood3Tina Juul Hansen4Radhouene Neji5Karl P. Kunze6Jens Wetzl7Bjarne Linde Nørgaard8Jesper Møller Jensen9Michael Maeng10Per Lav Madsen11Niels Vejlstrup12Claudia Prieto13René M. Botnar14Won Yong Kim15Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkNational Heart and Lung Institute, Imperial College London, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomDepartment of Cardiology, Aarhus University Hospital, Aarhus, DenmarkSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom; MR Research Collaborations, Siemens Healthcare Limited, Camberley, United KingdomMagnetic Resonance, Siemens Healthcare GmbH, Erlangen, GermanyDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Herlev, Herlev, Denmark; The August Krogh Institute (NEXS), University of Copenhagen, Copenhagen, DenmarkDepartment of Cardiology, University Hospital Copenhagen - Rigshospitalet, Copenhagen, DenmarkSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom; Escuela de Ingeniería and Instituto de Ingeniería Biológica y Médica, Pontificia Universidad Católica de Chile, Santiago, Chile; Millenium Institute for Intelligent Healthcare Engineering, Santiago, ChileSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom; BHF Centre of Research Excellence, Cardiovascular Division, King's College London, London, United Kingdom; Escuela de Ingeniería and Instituto de Ingeniería Biológica y Médica, Pontificia Universidad Católica de Chile, Santiago, Chile; Millenium Institute for Intelligent Healthcare Engineering, Santiago, Chile; Institute for Advanced Study, Technical University of Munich, Garching, Germany; Corresponding author. School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom.Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkABSTRACT: Background: Coronary computed tomography angiography (CCTA) is recommended as the first-line diagnostic imaging modality in low-to-intermediate-risk individuals suspected of stable coronary artery disease (CAD). However, CCTA exposes patients to ionizing radiation and potentially nephrotoxic contrast agents. Invasive coronary angiography is the gold-standard investigation to guide coronary revascularisation strategy; however, invasive procedures incur an inherent risk to the patient. Coronary magnetic resonance angiography (CMRA) avoids these issues. Nevertheless, clinical implementation is currently limited due to extended scanning durations, inconsistent image quality, and consequent lack of diagnostic accuracy. Several technical CMRA innovations, including advanced respiratory motion correction with 100% scan efficiency (no data rejection), fast image acquisition with motion-corrected undersampled image reconstruction, and deep-learning–based automated planning, have been implemented and now await clinical validation in multi-center trials. Methods: The objective of the image navigator–based, automated CMRA prospective multi-center study is to evaluate the diagnostic accuracy of a newly developed, state-of-the-art, standardized, and automated CMRA framework compared to CCTA in 201 patients undergoing clinical investigation for CAD. The study protocol mandates the administration of oral beta-blockers to decrease heart rate to below 60 bpm and the use of sublingual nitroglycerine spray to induce vasodilation. Additionally, the study incorporates the utilization of standardized postprocessing with sliding-thin-slab multiplanar reformatting, in combination with evaluation of the source images, to optimize the visualization of coronary artery stenosis. Discussion: If proven effective, CMRA could provide a non-invasive, needle-free, yet also clinically viable, alternative to CCTA. Trial Registration: This study is registered at ClinicalTrials.gov (NCT05473117).http://www.sciencedirect.com/science/article/pii/S1097664724011244Coronary magnetic resonance angiographyCoronary artery disease |
| spellingShingle | Gregory Wood Reza Hajhosseiny Alexandra Uglebjerg Pedersen Simon Littlewood Tina Juul Hansen Radhouene Neji Karl P. Kunze Jens Wetzl Bjarne Linde Nørgaard Jesper Møller Jensen Michael Maeng Per Lav Madsen Niels Vejlstrup Claudia Prieto René M. Botnar Won Yong Kim Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis Journal of Cardiovascular Magnetic Resonance Coronary magnetic resonance angiography Coronary artery disease |
| title | Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis |
| title_full | Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis |
| title_fullStr | Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis |
| title_full_unstemmed | Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis |
| title_short | Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis |
| title_sort | image navigator based automated coronary magnetic resonance angiography for the detection of coronary artery stenosis |
| topic | Coronary magnetic resonance angiography Coronary artery disease |
| url | http://www.sciencedirect.com/science/article/pii/S1097664724011244 |
| work_keys_str_mv | AT gregorywood imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT rezahajhosseiny imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT alexandrauglebjergpedersen imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT simonlittlewood imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT tinajuulhansen imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT radhoueneneji imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT karlpkunze imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT jenswetzl imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT bjarnelindenørgaard imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT jespermøllerjensen imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT michaelmaeng imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT perlavmadsen imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT nielsvejlstrup imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT claudiaprieto imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT renembotnar imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis AT wonyongkim imagenavigatorbasedautomatedcoronarymagneticresonanceangiographyforthedetectionofcoronaryarterystenosis |