Online Cardiology Days | Day 1 - October 26, 2021, 7:00 pm (CEST) / 1:00 pm (EDT)
Cardiovascular Disease - New insights | Eye Care/MRI/CT
CVD - An Old Problem. New Ways to Look at It
Facing the increasing burden of CVD calls for new approaches that allow earlier detection as well as more individualized management. Recently, a greater understanding of the underlying pathophysiology is changing the way we characterize coronary artery disease. Combined with new advanced diagnostic tools, new diagnostic and therapeutic management strategies are emerging.
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Program
Why should you attend?
- How Eye Exams Help Heart Disease Detection - Prof. Patrick De Boever
- Cardiac MRI and Coronary MRA for Risk Stratification in Patients with Cardiovascular Disease - Dr. Yoko Kato
- Optimizing Care for Each Sex: What Can We Learn From CT? - Dr. Michelle Williams
- UHRCT as the Cornerstone for Contemporary Evaluation and Management of Stable Angina - Prof. Armin Zadeh
- Live Q&A
Why should you attend?
- Learn from experts the latest insights on early and non-invasive detection of heart disease.
- Learn about new imaging techniques, such as retinal imaging or ultra-high resolution CT.
- Learn how these tools can potentially be used towards a more individualized and non-invasive approach to CVD risk management and patient care.
EXTENSIVE INFORMATION ON SPEAKERS AND THEIR PRESENTATIONS
Moderator: Dr. Joanne D. Schuijf, PhD
Clinical Research Manager, Global RDC
Canon Medical Systems Europe
Zoetermeer, the Netherlands
Dr. Joanne Schuijf is a Clinical Research Manager working as a member of the Global Research & Development Center in Canon Medical Systems Europe and is responsible for managing clinical research and development programs with luminary customers. In addition, she is one of the company experts on cardiovascular imaging having over 15 years’ experience in the field. She holds a PhD in Medicine from Leiden University, the Netherlands and an MSc in Biomedical Sciences from the same university. Her research has been oriented around the use of multimodality imaging techniques for anatomical and functional assessment of patients with coronary syndromes, with a particular interest in cardiac CT. She has published over 200 peer-reviewed papers in major ranking journals.
Clinical Research Manager, Global RDC
Canon Medical Systems Europe
Zoetermeer, the Netherlands
Dr. Joanne Schuijf is a Clinical Research Manager working as a member of the Global Research & Development Center in Canon Medical Systems Europe and is responsible for managing clinical research and development programs with luminary customers. In addition, she is one of the company experts on cardiovascular imaging having over 15 years’ experience in the field. She holds a PhD in Medicine from Leiden University, the Netherlands and an MSc in Biomedical Sciences from the same university. Her research has been oriented around the use of multimodality imaging techniques for anatomical and functional assessment of patients with coronary syndromes, with a particular interest in cardiac CT. She has published over 200 peer-reviewed papers in major ranking journals.
Speaker: Prof. Patrick De Boever, PhD, MSE
Research & Innovation Manager
University of Antwerp
Antwerp, Belgium
Patrick De Boever is the research and innovation manager of the Centre of Excellence Microbial Systems Technology at the University of Antwerp. He has a part-time appointment as a professor at the Centre for Environmental Sciences of Hasselt University. Previously, he was the team leader of the MONA group (Flemish Institute for Technology, VITO), focusing on retinal image analysis using artificial intelligence for diagnostic screening and epidemiology research. The team’s work resulted in August 2021 in launching the digital health startup company MONA with the first product on diabetic eye screening. He began his research career at the Belgian Nuclear Research Centre. He holds a Ph.D. in Applied Biological Sciences from Ghent University and a Master of Science in Bio-Engineering from that same university.
Presentation Title: How Eye Exams Help Heart Disease Detection
The retina is a unique tissue that allows conveniently visualizing some of our tiniest blood vessels. Fundus imaging and optical coherence tomography can capture structural blood vessel changes, while techniques such as dynamic vessel analysis characterize the functional status of the retinal microvasculature. Retinal metrics derived from these imaging techniques are used in clinical and epidemiological studies and public health investigations. These metrics can identify the early effects of cardiovascular risk factors, map physiological changes on the trajectory to heart disease, and help to stratify patients. This presentation will discuss how convenient eye exams can support the detection of cardiovascular disease.
Research & Innovation Manager
University of Antwerp
Antwerp, Belgium
Patrick De Boever is the research and innovation manager of the Centre of Excellence Microbial Systems Technology at the University of Antwerp. He has a part-time appointment as a professor at the Centre for Environmental Sciences of Hasselt University. Previously, he was the team leader of the MONA group (Flemish Institute for Technology, VITO), focusing on retinal image analysis using artificial intelligence for diagnostic screening and epidemiology research. The team’s work resulted in August 2021 in launching the digital health startup company MONA with the first product on diabetic eye screening. He began his research career at the Belgian Nuclear Research Centre. He holds a Ph.D. in Applied Biological Sciences from Ghent University and a Master of Science in Bio-Engineering from that same university.
Presentation Title: How Eye Exams Help Heart Disease Detection
The retina is a unique tissue that allows conveniently visualizing some of our tiniest blood vessels. Fundus imaging and optical coherence tomography can capture structural blood vessel changes, while techniques such as dynamic vessel analysis characterize the functional status of the retinal microvasculature. Retinal metrics derived from these imaging techniques are used in clinical and epidemiological studies and public health investigations. These metrics can identify the early effects of cardiovascular risk factors, map physiological changes on the trajectory to heart disease, and help to stratify patients. This presentation will discuss how convenient eye exams can support the detection of cardiovascular disease.
Speaker: Dr. Yoko Kato, MD, PhD
Post-doctoral Fellow Cardiovascular Imaging
Johns Hopkins School of Medicine
Baltimore, USA
Dr. Kato is a cardiologist who graduated from Tokyo Medical and Dental University (TMDU) in 2005. After two years of residency training, she started her career as a cardiologist and later became a coronary interventionist by training. Her initial interest was to achieve an image-guided safe and efficient intervention procedure. Dr. Kato switched her career to cardiac imaging in 2015 and was trained as a reader of cardiac MRI and CT clinical images at Cardiovascular Imaging Clinic (CVIC). She received her PhD degree from the graduate school of TMDU in 2016 by a research of aortic MRI assessment of Takayasu arteritis. She joined Prof. Lima’s Lab at Johns Hopkins University (JHU) in 2017 as a research fellow. Her current interest is cardiac MRI assessment and MRI technical development of myocardial fibrosis, cardiac function, and coronary arteries.
Presentation Title: Cardiac MRI and Coronary MRA for Risk Stratification in Patients with Cardiovascular Disease
Early detection, treatment, and prognostication of cardiovascular disease (CVD) is crucial. Cardiac MRI is a strong non-invasive one-stop-shop modality for the assessment of CVD, which enables the assessment of cardiac function (CINE), myocardial fibrosis and scar (LGE and T1 map), ischemia (perfusion), and though experimental, coronary stenosis (coronary MR angiography). This presentation focuses on the utilization of cardiac MRI in the management of CVD. We will discuss some characteristic techniques of cardiac MRI as well as their accumulated knowledge on the CVD risk stratification/prognostication in different groups of people.
Post-doctoral Fellow Cardiovascular Imaging
Johns Hopkins School of Medicine
Baltimore, USA
Dr. Kato is a cardiologist who graduated from Tokyo Medical and Dental University (TMDU) in 2005. After two years of residency training, she started her career as a cardiologist and later became a coronary interventionist by training. Her initial interest was to achieve an image-guided safe and efficient intervention procedure. Dr. Kato switched her career to cardiac imaging in 2015 and was trained as a reader of cardiac MRI and CT clinical images at Cardiovascular Imaging Clinic (CVIC). She received her PhD degree from the graduate school of TMDU in 2016 by a research of aortic MRI assessment of Takayasu arteritis. She joined Prof. Lima’s Lab at Johns Hopkins University (JHU) in 2017 as a research fellow. Her current interest is cardiac MRI assessment and MRI technical development of myocardial fibrosis, cardiac function, and coronary arteries.
Presentation Title: Cardiac MRI and Coronary MRA for Risk Stratification in Patients with Cardiovascular Disease
Early detection, treatment, and prognostication of cardiovascular disease (CVD) is crucial. Cardiac MRI is a strong non-invasive one-stop-shop modality for the assessment of CVD, which enables the assessment of cardiac function (CINE), myocardial fibrosis and scar (LGE and T1 map), ischemia (perfusion), and though experimental, coronary stenosis (coronary MR angiography). This presentation focuses on the utilization of cardiac MRI in the management of CVD. We will discuss some characteristic techniques of cardiac MRI as well as their accumulated knowledge on the CVD risk stratification/prognostication in different groups of people.
Speaker: Dr. Michelle Williams, MBChB, PhD
Radiologist, Cardiovascular Radiology Section
University of Edinburgh
Edinburgh, UK
Dr. Michelle Williams is a Senior Clinical Lecturer and Radiology Consultant at the University of Edinburgh and NHS Lothian. Her research centers around multi-modality non-invasive imaging of the heart and vasculature. She is president elect of British Society of Cardiovascular Imaging, member of the Board of Directors of the SCCT and Lead for the Online Education Task Force of the SCCT.
Presentation Title: Optimizing Care for Each Sex: What Can We Learn From CT?
Cardiovascular disease is one of the commonest causes of death in women and its a cause of significant morbidity world wide. CT can identify sex based differences in cardiovascular disease which can help to guide management. In coronary artery disease imaging, women have a lower prevalence of non obstructive and obstructive coronary artery disease as well as lower plaque burdens. Qualitative and quantitative assessment of CT coronary angiography can identify patients at increased risk of subsequent myocardial infarction and patterns of disease in those who have myocardial infarction are similar in men and in women. Women are also more likely to ave other associated conditions such as spontaneous coronary artery dissection. CT therefore offers a window into sex based similarities and differences in the coronary arteries.
Radiologist, Cardiovascular Radiology Section
University of Edinburgh
Edinburgh, UK
Dr. Michelle Williams is a Senior Clinical Lecturer and Radiology Consultant at the University of Edinburgh and NHS Lothian. Her research centers around multi-modality non-invasive imaging of the heart and vasculature. She is president elect of British Society of Cardiovascular Imaging, member of the Board of Directors of the SCCT and Lead for the Online Education Task Force of the SCCT.
Presentation Title: Optimizing Care for Each Sex: What Can We Learn From CT?
Cardiovascular disease is one of the commonest causes of death in women and its a cause of significant morbidity world wide. CT can identify sex based differences in cardiovascular disease which can help to guide management. In coronary artery disease imaging, women have a lower prevalence of non obstructive and obstructive coronary artery disease as well as lower plaque burdens. Qualitative and quantitative assessment of CT coronary angiography can identify patients at increased risk of subsequent myocardial infarction and patterns of disease in those who have myocardial infarction are similar in men and in women. Women are also more likely to ave other associated conditions such as spontaneous coronary artery dissection. CT therefore offers a window into sex based similarities and differences in the coronary arteries.
Speaker: Prof. Armin A. Zadeh, MD, PhD, MPH, FACC, FSCCT
Director, Cardiac Computed Tomography
Johns Hopkins School of Medicine
Baltimore, USA
Dr. Zadeh is an academic cardiologist and the Director of Cardiac Computed Tomography at the Johns Hopkins Hospital in the Division of Cardiology and Associate Professor of Medicine at the Johns Hopkins University School of Medicine and in Baltimore, U.S.A. Dr. Zadeh was one of the main investigators and corelab directors of the CorE-64 and the CorE-320 multicenter trials. Dr. Zadeh’s clinical and investigational focus is the evaluation and management of patients with suspected coronary heart disease. Dr. Zadeh is board certified in internal medicine, cardiology, and cardiovascular CT. He reviews manuscripts for numerous scientific journals, including JACC, JACCimaging, JCCT, AJR, Heart, AJC, and is an author of scientific articles in Circulation, New England Journal of Medicine, JACC, JCCT, AHJ, and others. He is an associate editor of JCCT and the past editor-in-chief of the SCCT board examination preparation book.
Presentation Title: UHRCT as the Cornerstone for Contemporary Evaluation and Management of Stable Angina
Conceptual and clinical trial evidence supports a shift from our traditional approach of myocardial ischemia testing to atherosclerosis imaging for contemporary guidance of the evaluation and management in patients with stable angina. CT coronary angiography is positioning itself as the most valuable tool in this setting but conventional CT technology remains limited in its assessment of high-risk populations due to inferior spatial resolution compared to invasive angiography. Ultra-high-resolution CT shows promise to overcome this limitation and to expand the utility of CT coronary angiography to a large spectrum of patients.
Director, Cardiac Computed Tomography
Johns Hopkins School of Medicine
Baltimore, USA
Dr. Zadeh is an academic cardiologist and the Director of Cardiac Computed Tomography at the Johns Hopkins Hospital in the Division of Cardiology and Associate Professor of Medicine at the Johns Hopkins University School of Medicine and in Baltimore, U.S.A. Dr. Zadeh was one of the main investigators and corelab directors of the CorE-64 and the CorE-320 multicenter trials. Dr. Zadeh’s clinical and investigational focus is the evaluation and management of patients with suspected coronary heart disease. Dr. Zadeh is board certified in internal medicine, cardiology, and cardiovascular CT. He reviews manuscripts for numerous scientific journals, including JACC, JACCimaging, JCCT, AJR, Heart, AJC, and is an author of scientific articles in Circulation, New England Journal of Medicine, JACC, JCCT, AHJ, and others. He is an associate editor of JCCT and the past editor-in-chief of the SCCT board examination preparation book.
Presentation Title: UHRCT as the Cornerstone for Contemporary Evaluation and Management of Stable Angina
Conceptual and clinical trial evidence supports a shift from our traditional approach of myocardial ischemia testing to atherosclerosis imaging for contemporary guidance of the evaluation and management in patients with stable angina. CT coronary angiography is positioning itself as the most valuable tool in this setting but conventional CT technology remains limited in its assessment of high-risk populations due to inferior spatial resolution compared to invasive angiography. Ultra-high-resolution CT shows promise to overcome this limitation and to expand the utility of CT coronary angiography to a large spectrum of patients.
Scientific Evidence: Cardiovascular Disease - New Insights
Download scientific evidence on cardiology solutions using Canon technologies here.
https://pubmed.ncbi.nlm.nih.gov/30807772/
https://pubmed.ncbi.nlm.nih.gov/30807772/
Joanne D Schuijf et al. | Cardiovascular ultrashort echo time to map fibrosis—promises and challenges | Br J Radiol (2019)
https://pubmed.ncbi.nlm.nih.gov/31356106/
Yasuhiro Yokota et al. | Effects of Deep Learning Reconstruction Technique in High-Resolution Non-contrast Magnetic Resonance Coronary Angiography at a 3-Tesla Machine | Can Assoc Radiol J (2021)
https://pubmed.ncbi.nlm.nih.gov/32070116/
Hideki Koike et al. | The impact of tissue-tracking strain on the left atrial dysfunction in the patients with left ventricular dysfunction | Int J Cardiol Heart Vasc (2020)
https://pubmed.ncbi.nlm.nih.gov/31921972/
https://pubmed.ncbi.nlm.nih.gov/33143553/
Hirata et al. | Tradeoff between noise reduction and inartificial visualization in a model-based iterative reconstruction algorithm on coronary computed tomography angiography | Medicine | (2018)
https://pubmed.ncbi.nlm.nih.gov/29768380/
Richards et al. | Low-radiation and high image quality coronary computed tomography angiography in “real-world” unselected patients | World Journal of Radiology | (2018)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205842/
Nerlekar et al. | Impact of heart rate on diagnostic accuracy of second generation 320-detector computed tomography coronary angiography | Cardiovascular diagnosis and therapy | (2017)
https://pubmed.ncbi.nlm.nih.gov/28567355/
Shimomiya et al. | Dynamic flow imaging using 320-detector row CT and motion coherence analysis in coronary aneurysms associated with Kawasaki disease | Cardiology in the Young | (2017)
https://pubmed.ncbi.nlm.nih.gov/29239297/
Ghekiere et al. | Coronary Computed Tomography Angiography: Patient-related factors determining image quality using a second-generation 320-slice CT scanner (2016)
https://pubmed.ncbi.nlm.nih.gov/27441477/
Williams et al. | Use of Coronary Computed Tomographic Angiography to Guide Management of Patients With Coronary Disease | JACC (2016)
https://pubmed.ncbi.nlm.nih.gov/27081014/
Nasis et al. | Coronary computed tomography angiography for the assessment of chest pain: current status and future directions | The International Journal of Cardiovascular Imaging (2015)
https://pubmed.ncbi.nlm.nih.gov/26134159/
Williams et al. | Observer variability in the assessment of CT coronary angiography and coronary artery calcium score: substudy of the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial | Open Heart (2015)
https://pubmed.ncbi.nlm.nih.gov/26019881/
Shariat et al. | Utility of coronary CT angiography in outpatients with hypertrophic cardiomyopathy presenting with angina symptoms | Journal of Cardiovascular Computed Tomography (2014)
https://pubmed.ncbi.nlm.nih.gov/25467830/
Voros et al. | Prospective, Head-to-Head Comparison of Quantitative Coronary Angiography, Quantitative Computed Tomography Angiography, and Intravascular Ultrasound for the Prediction of Hemodynamic Significance in Intermediate and Severe Lesions, Using Fractional Flow | The American journal of cardiology (2014)
https://pubmed.ncbi.nlm.nih.gov/24238960/
Wong et al.| Superior CT coronary angiography image quality at lower radiation exposure with second generation 320-detector row CT in patients with elevated heart rate: a comparison with first generation 320-detector row CT | Cardiovascular diagnosis and therapy (2013)
https://pubmed.ncbi.nlm.nih.gov/25276615/
Chen et al. | Submillisievert Median radiation Dose for coronary angiography with a second-generation 320-Detector Row CT Scanner in 107 Consecutive Patients | Radiology | (2013)
https://pubmed.ncbi.nlm.nih.gov/23340461/
Tomizawa et al. | Coronary CT angiography using the second-generation 320-detector row CT: assessment of image quality and radiation dose in various heart rates compared with the first-generation scanner | The international journal of cardiovascular imaging (2013)
https://pubmed.ncbi.nlm.nih.gov/23681500/
Tung et al. | Radiation Dose in 320-Slice Multidetector Cardiac CT: - A Single Center Experience of Evolving Dose Minimization | Journal of Cardiovascular Computed Tomography (2013)
https://pubmed.ncbi.nlm.nih.gov/23849488/
Uehara et al. | Diagnostic accuracy of 320-slice computed-tomography for detection of significant coronary artery stenosis in patients with various heart rates and heart rhythms compared with conventional coronary-angiography | Int J cardiology (2013)
https://pubmed.ncbi.nlm.nih.gov/22429616/
Yoo et al. | Image quality of Adaptive Iterative Dose Reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection | The international journal of cardiovascular imaging (2013)
https://pubmed.ncbi.nlm.nih.gov/22923280/
Troupis et al. | Presence of accessory left atrial appendage/diverticula in a population with atrial fibrillation compared with those in sinus rhythm: a retrospective review | The international journal of cardiovascular imaging (2012)
https://pubmed.ncbi.nlm.nih.gov/21331611/
Yang et al. | Low dose 320-row CT for left atrium and pulmonary veins imaging-the feasibility study | European journal of radiology (2012)
https://pubmed.ncbi.nlm.nih.gov/21392909/
Latina et al. | Ultra-High-Resolution Coronary CT Angiography for Assessment of Patients with Severe Coronary Artery Calcification: Initial Experience | Radiology Cardiothoracic Imaging (2021)
https://pubs.rsna.org/doi/10.1148/ryct.2021210053
Takagi et al. | Diagnostic performance of coronary CT angiography with ultra-high-resolution CT: Comparison with invasive coronary angiography | Eur J Radiol (2018)
https://pubmed.ncbi.nlm.nih.gov/29571798/
Motoyama et al. | Ultra-High-Resolution Computed Tomography Angiography for Assessment of Coronary Artery Stenosis | Circulation Journal (2018)
https://pubmed.ncbi.nlm.nih.gov/29743388/
Eye Care
Louwies et al. | Microvascular reactivity in rehabilitating cardiac patients based on measurements of retinal blood vessel diameters | Microvasc Res (2019)https://pubmed.ncbi.nlm.nih.gov/30807772/
MRI
Yoko Kato et al. | Non-contrast coronary magnetic resonance angiography: current frontiers and future horizons | MAGMA (2020)https://pubmed.ncbi.nlm.nih.gov/30807772/
Joanne D Schuijf et al. | Cardiovascular ultrashort echo time to map fibrosis—promises and challenges | Br J Radiol (2019)
https://pubmed.ncbi.nlm.nih.gov/31356106/
Yasuhiro Yokota et al. | Effects of Deep Learning Reconstruction Technique in High-Resolution Non-contrast Magnetic Resonance Coronary Angiography at a 3-Tesla Machine | Can Assoc Radiol J (2021)
https://pubmed.ncbi.nlm.nih.gov/32070116/
Hideki Koike et al. | The impact of tissue-tracking strain on the left atrial dysfunction in the patients with left ventricular dysfunction | Int J Cardiol Heart Vasc (2020)
https://pubmed.ncbi.nlm.nih.gov/31921972/
CT
Bernard et al. | High rate of cardiac thrombus diagnosed by adding cardiac imaging in acute stroke computed tomography protocol | International Journal of Stroke | (2020)https://pubmed.ncbi.nlm.nih.gov/33143553/
Hirata et al. | Tradeoff between noise reduction and inartificial visualization in a model-based iterative reconstruction algorithm on coronary computed tomography angiography | Medicine | (2018)
https://pubmed.ncbi.nlm.nih.gov/29768380/
Richards et al. | Low-radiation and high image quality coronary computed tomography angiography in “real-world” unselected patients | World Journal of Radiology | (2018)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205842/
Nerlekar et al. | Impact of heart rate on diagnostic accuracy of second generation 320-detector computed tomography coronary angiography | Cardiovascular diagnosis and therapy | (2017)
https://pubmed.ncbi.nlm.nih.gov/28567355/
Shimomiya et al. | Dynamic flow imaging using 320-detector row CT and motion coherence analysis in coronary aneurysms associated with Kawasaki disease | Cardiology in the Young | (2017)
https://pubmed.ncbi.nlm.nih.gov/29239297/
Ghekiere et al. | Coronary Computed Tomography Angiography: Patient-related factors determining image quality using a second-generation 320-slice CT scanner (2016)
https://pubmed.ncbi.nlm.nih.gov/27441477/
Williams et al. | Use of Coronary Computed Tomographic Angiography to Guide Management of Patients With Coronary Disease | JACC (2016)
https://pubmed.ncbi.nlm.nih.gov/27081014/
Nasis et al. | Coronary computed tomography angiography for the assessment of chest pain: current status and future directions | The International Journal of Cardiovascular Imaging (2015)
https://pubmed.ncbi.nlm.nih.gov/26134159/
Williams et al. | Observer variability in the assessment of CT coronary angiography and coronary artery calcium score: substudy of the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial | Open Heart (2015)
https://pubmed.ncbi.nlm.nih.gov/26019881/
Shariat et al. | Utility of coronary CT angiography in outpatients with hypertrophic cardiomyopathy presenting with angina symptoms | Journal of Cardiovascular Computed Tomography (2014)
https://pubmed.ncbi.nlm.nih.gov/25467830/
Voros et al. | Prospective, Head-to-Head Comparison of Quantitative Coronary Angiography, Quantitative Computed Tomography Angiography, and Intravascular Ultrasound for the Prediction of Hemodynamic Significance in Intermediate and Severe Lesions, Using Fractional Flow | The American journal of cardiology (2014)
https://pubmed.ncbi.nlm.nih.gov/24238960/
Wong et al.| Superior CT coronary angiography image quality at lower radiation exposure with second generation 320-detector row CT in patients with elevated heart rate: a comparison with first generation 320-detector row CT | Cardiovascular diagnosis and therapy (2013)
https://pubmed.ncbi.nlm.nih.gov/25276615/
Chen et al. | Submillisievert Median radiation Dose for coronary angiography with a second-generation 320-Detector Row CT Scanner in 107 Consecutive Patients | Radiology | (2013)
https://pubmed.ncbi.nlm.nih.gov/23340461/
Tomizawa et al. | Coronary CT angiography using the second-generation 320-detector row CT: assessment of image quality and radiation dose in various heart rates compared with the first-generation scanner | The international journal of cardiovascular imaging (2013)
https://pubmed.ncbi.nlm.nih.gov/23681500/
Tung et al. | Radiation Dose in 320-Slice Multidetector Cardiac CT: - A Single Center Experience of Evolving Dose Minimization | Journal of Cardiovascular Computed Tomography (2013)
https://pubmed.ncbi.nlm.nih.gov/23849488/
Uehara et al. | Diagnostic accuracy of 320-slice computed-tomography for detection of significant coronary artery stenosis in patients with various heart rates and heart rhythms compared with conventional coronary-angiography | Int J cardiology (2013)
https://pubmed.ncbi.nlm.nih.gov/22429616/
Yoo et al. | Image quality of Adaptive Iterative Dose Reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection | The international journal of cardiovascular imaging (2013)
https://pubmed.ncbi.nlm.nih.gov/22923280/
Troupis et al. | Presence of accessory left atrial appendage/diverticula in a population with atrial fibrillation compared with those in sinus rhythm: a retrospective review | The international journal of cardiovascular imaging (2012)
https://pubmed.ncbi.nlm.nih.gov/21331611/
Yang et al. | Low dose 320-row CT for left atrium and pulmonary veins imaging-the feasibility study | European journal of radiology (2012)
https://pubmed.ncbi.nlm.nih.gov/21392909/
Latina et al. | Ultra-High-Resolution Coronary CT Angiography for Assessment of Patients with Severe Coronary Artery Calcification: Initial Experience | Radiology Cardiothoracic Imaging (2021)
https://pubs.rsna.org/doi/10.1148/ryct.2021210053
Takagi et al. | Diagnostic performance of coronary CT angiography with ultra-high-resolution CT: Comparison with invasive coronary angiography | Eur J Radiol (2018)
https://pubmed.ncbi.nlm.nih.gov/29571798/
Motoyama et al. | Ultra-High-Resolution Computed Tomography Angiography for Assessment of Coronary Artery Stenosis | Circulation Journal (2018)
https://pubmed.ncbi.nlm.nih.gov/29743388/
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