AIMC Topic: Myocardial Perfusion Imaging

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Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Sep 12, 2018
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts.
Humans Artificial Intelligence Retrospective Studies Diagnosis, Computer-Assisted Coronary Artery Disease Observer Variation Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Female Aged Sensitivity and Specificity Male Middle Aged
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Machine learning in the integration of simple variables for identifying patients with myocardial ischemia.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology May 22, 2018
BACKGROUND: A significant number of variables are obtained when characterizing patients suspected with myocardial ischemia or at risk of MACE. Guidelines typically use a handful of them to support further workup or therapeutic decisions. However, it ...
Myocardial Perfusion Imaging Nitrogen Radioisotopes Predictive Value of Tests Feasibility Studies Positron-Emission Tomography Humans Myocardial Ischemia Machine Learning Retrospective Studies Female Aged Male Middle Aged ROC Curve
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Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Apr 25, 2018
BACKGROUND: Reporting standards promote clarity and consistency of stress myocardial perfusion imaging (MPI) reports, but do not require an assessment of post-test risk. Natural Language Processing (NLP) tools could potentially help estimate this ris...
Myocardial Ischemia Coronary Angiography Exercise Test Humans Myocardial Perfusion Imaging Myocardial Infarction Risk Assessment Heart Diseases United States United States Department of Veterans Affairs Natural Language Processing
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Could Deep Learning Change Our Working Lives?

JACC. Cardiovascular imaging Mar 14, 2018
Deep Learning Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging
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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

JACC. Cardiovascular imaging Mar 14, 2018
OBJECTIVES: The study evaluated the automatic prediction of obstructive disease from myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion deficit (TPD).
Image Interpretation, Computer-Assisted Organophosphorus Compounds Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Coronary Stenosis Technetium Tc 99m Sestamibi Organotechnetium Compounds Middle Aged Deep Learning Predictive Value of Tests Registries Female Radiopharmaceuticals Aged Aged, 80 and over Humans Male
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Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database.

Annals of nuclear medicine Mar 7, 2018
PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0.
ROC Curve Area Under Curve Coronary Angiography Heart Cardiac Surgical Procedures Artificial Intelligence Female Aged Male Endovascular Procedures Myocardial Ischemia Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Organotechnetium Compounds Radiopharmaceuticals Japan Quality Improvement Image Interpretation, Computer-Assisted Databases as Topic Humans Neural Networks, Computer
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Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

JACC. Cardiovascular imaging Oct 18, 2017
OBJECTIVES: This study evaluated the added predictive value of combining clinical information and myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) data using machine learning (ML) to predict major adverse cardiac ...
Humans Machine Learning Prognosis Female Reproducibility of Results Health Status Predictive Value of Tests Exercise Test Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Risk Factors Cardiovascular Diseases Aged Middle Aged Aged, 80 and over Risk Assessment Male Hemodynamics Time Factors
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Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.

European journal of nuclear medicine and molecular imaging Sep 26, 2017
PURPOSE: Artificial neural networks (ANN) might help to diagnose coronary artery disease. This study aimed to determine whether the diagnostic accuracy of an ANN-based diagnostic system and conventional quantitation are comparable.
ROC Curve Image Processing, Computer-Assisted Japan Statistics as Topic Myocardial Perfusion Imaging Humans Neural Networks, Computer Female Aged Male
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Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.

The international journal of cardiovascular imaging Apr 13, 2017
We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadoli...
Gadolinium DTPA Middle Aged Magnetic Resonance Imaging, Cine Electrocardiography Cardiac-Gated Imaging Techniques Contrast Media Humans Iopamidol Predictive Value of Tests Retrospective Studies Myocardium Observer Variation Female Multidetector Computed Tomography Reproducibility of Results Computed Tomography Angiography Aged Coronary Angiography Coronary Circulation Male Myocardial Perfusion Imaging Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Myocardial Infarction Knowledge Bases
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Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve.

Journal of cardiovascular computed tomography Dec 30, 2016
BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active fat depot that is associated with incident coronary artery disease (CAD) and major adverse cardiovascular events. The relationship between EAT and myocardial ischemia remains uncle...
Radiographic Image Interpretation, Computer-Assisted Male Coronary Stenosis Middle Aged Coronary Artery Disease Humans Adipose Tissue Fractional Flow Reserve, Myocardial Coronary Vessels Tomography, X-Ray Computed Predictive Value of Tests Pericardium Myocardial Perfusion Imaging Female Coronary Angiography Aged
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