AIMC Topic: Fractional Flow Reserve, Myocardial

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Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

The British journal of radiology Aug 12, 2020
The aim of this review is to provide an overview of different functional cardiac CT techniques which can be used to supplement assessment of the coronary arteries to establish the significance of coronary artery stenoses. We focus on cine-CT, CT-FFR,...
Humans Machine Learning Tomography, X-Ray Computed Vascular Calcification Computed Tomography Angiography Myocardial Perfusion Imaging Coronary Stenosis Fractional Flow Reserve, Myocardial Ventricular Function, Left Stroke Volume Coronary Angiography Coronary Artery Disease Clinical Trials as Topic
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Defining heterogeneity of epicardial functional stenosis with low coronary flow reserve by unsupervised machine learning.

Heart and vessels Jun 6, 2020
Low CFR is associated with poor prognosis, whereas it is a heterogeneous condition according to the actual coronary flow, such as high resting or low hyperemic coronary flow, which should have different physiological traits and clinical implications....
Fractional Flow Reserve, Myocardial Hyperemia Spain Blood Flow Velocity Cardiac Catheterization Aged Coronary Stenosis Humans Male Prognosis Middle Aged Cluster Analysis Republic of Korea Severity of Illness Index Unsupervised Machine Learning Female Diagnosis, Computer-Assisted Predictive Value of Tests Registries Japan
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Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.

European radiology May 28, 2020
OBJECTIVES: This study investigated the impact of machine learning (ML)-based fractional flow reserve derived from computed tomography (FFR) compared to invasive coronary angiography (ICA) for therapeutic decision-making and patient outcome in patien...
Male Middle Aged Severity of Illness Index Decision Making Predictive Value of Tests Humans Artificial Intelligence Machine Learning Retrospective Studies Female Fractional Flow Reserve, Myocardial Coronary Angiography Coronary Artery Disease Disease Management Computed Tomography Angiography
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Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

European radiology Mar 12, 2020
OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.
Disease Management Cardiac Catheterization Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Cohort Studies Coronary Angiography Percutaneous Coronary Intervention Coronary Artery Disease Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged Hemodynamics
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Fractional Flow Reserve, Myocardial Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Stenosis Coronary Angiography Humans Radiographic Image Interpretation, Computer-Assisted Machine Learning Coronary Artery Disease Retrospective Studies Observer Variation Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests
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Development and application of artificial intelligence in cardiac imaging.

The British journal of radiology Feb 6, 2020
In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging, starting with radiomics, basic algorithms of deep learning and application tasks of algorithms, until recently the availability of the public databa...
Humans Artificial Intelligence Algorithms Databases, Factual Prognosis Deep Learning Magnetic Resonance Imaging Adipose Tissue Heart Vascular Calcification Computed Tomography Angiography Myocardial Infarction Cardiomyopathies Heart Ventricles Coronary Stenosis Coronary Disease Fractional Flow Reserve, Myocardial
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The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography.

European radiology Jan 31, 2020
OBJECTIVE: To investigate the effect of image quality of coronary CT angiography (CCTA) on the diagnostic performance of a machine learning-based CT-derived fractional flow reserve (FFR).
Coronary Stenosis Fractional Flow Reserve, Myocardial Aged Male Middle Aged Coronary Angiography Humans Computed Tomography Angiography Machine Learning Retrospective Studies Female Reproducibility of Results
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Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.

Neural networks : the official journal of the International Neural Network Society Nov 30, 2019
Humans perceive physical properties such as motion and elastic force by observing objects in visual scenes. Recent research has proven that computers are capable of inferring physical properties from camera images like humans. However, few studies pe...
Coronary Angiography Aged Humans Pattern Recognition, Automated Machine Learning Retrospective Studies Female Blood Flow Velocity Computed Tomography Angiography Male Middle Aged Hemodynamics Predictive Value of Tests Coronary Stenosis Fractional Flow Reserve, Myocardial Physical Phenomena
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Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.

IEEE transactions on medical imaging Nov 12, 2019
In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment. This is typically established through fractional flow reserve (FFR) measurement, performed duri...
Coronary Artery Disease Coronary Vessels Computed Tomography Angiography Humans Fractional Flow Reserve, Myocardial Retrospective Studies Deep Learning Predictive Value of Tests Coronary Angiography
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Intravascular ultrasound-based machine learning for predicting fractional flow reserve in intermediate coronary artery lesions.

Atherosclerosis Nov 2, 2019
BACKGROUND AND AIMS: Intravascular ultrasound (IVUS)-derived morphological criteria are poor predictors of the functional significance of intermediate coronary stenosis. IVUS-based supervised machine learning (ML) algorithms were developed to identif...
Middle Aged Predictive Value of Tests Ultrasonography, Interventional Humans Coronary Stenosis Retrospective Studies Machine Learning Fractional Flow Reserve, Myocardial Female Aged Male
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