AIMC Topic: Coronary Vessels

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A deep learning-based model for characterization of atherosclerotic plaque in coronary arteries using optical coherence tomography  images.

Medical physics May 24, 2021
PURPOSE: Coronary artery events are mainly associated with atherosclerosis in adult population, which is recognized as accumulation of plaques in arterial wall tissues. Optical Coherence Tomography (OCT) is a light-based imaging system used in cardio...
Tomography, Optical Coherence Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Humans Adult Cross-Sectional Studies Deep Learning
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Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography.

Nature communications May 20, 2021
Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Ou...
Follow-Up Studies Datasets as Topic Adult Coronary Vessels Male Clinical Trials as Topic Cardiovascular Diseases Image Processing, Computer-Assisted Humans Middle Aged Lung Neoplasms Female Risk Assessment Retrospective Studies Electrocardiography Risk Factors Lung Mass Screening Tomography, X-Ray Computed Aged Deep Learning Aged, 80 and over ROC Curve
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Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection.

Scientific reports Apr 26, 2021
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this methodology for risk prediction in smaller cohorts with uncommon diseases and infrequent events is ...
Hospital Mortality Coronary Artery Disease Coronary Vessels Rupture, Spontaneous Male Middle Aged Risk Assessment Deep Learning Models, Cardiovascular Humans Databases, Factual Electronic Health Records Female Adult
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Prediction of Coronary Stent Underexpansion by Pre-Procedural Intravascular Ultrasound-Based Deep Learning.

JACC. Cardiovascular interventions Apr 14, 2021
OBJECTIVES: The aim of this study was to develop pre-procedural intravascular ultrasound (IVUS)-based models for predicting the occurrence of stent underexpansion.
Coronary Angiography Ultrasonography, Interventional Stents Coronary Vessels Humans Deep Learning Treatment Outcome
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Intravascular ultrasound-based deep learning for plaque characterization in coronary artery disease.

Atherosclerosis Mar 29, 2021
BACKGROUND AND AIMS: Although plaque characterization by intravascular ultrasound (IVUS) is important for risk stratification, frame-by-frame analysis of a whole vascular segment is time-consuming. The aim was to develop IVUS-based algorithms for cla...
Coronary Vessels Plaque, Atherosclerotic Deep Learning Humans Coronary Angiography Ultrasonography, Interventional Coronary Artery Disease
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Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease.

International journal of cardiology Mar 16, 2021
BACKGROUND: Accurate segmentation of the coronary arteries with intravascular ultrasound (IVUS) is important to optimize coronary stent implantation. Recently, deep learning (DL) methods have been proposed to develop automatic IVUS segmentation. Howe...
Ultrasonography, Interventional Coronary Artery Disease Coronary Vessels Artificial Intelligence Algorithms Reproducibility of Results Deep Learning Humans
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Virtual Transcriptomics: Noninvasive Phenotyping of Atherosclerosis by Decoding Plaque Biology From Computed Tomography Angiography Imaging.

Arteriosclerosis, thrombosis, and vascular biology Mar 11, 2021
[Figure: see text].
Humans Artificial Intelligence Phenotype Female Aged Coronary Artery Disease Models, Genetic Male Feasibility Studies Predictive Value of Tests Gene Expression Profiling Coronary Vessels Oligonucleotide Array Sequence Analysis Coronary Angiography Transcriptome Plaque, Atherosclerotic Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Pilot Projects
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Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value.

BMC medicine Mar 4, 2021
BACKGROUND: Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet to be d...
Early Detection of Cancer Calcium Coronary Vessels Female Male Cohort Studies Lung Neoplasms Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Artificial Intelligence
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A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images.

The international journal of cardiovascular imaging Feb 15, 2021
Coronary luminal dimensions change during the cardiac cycle. However, contemporary volumetric intravascular ultrasound (IVUS) analysis is performed in non-gated images as existing methods to acquire gated or to retrospectively gate IVUS images have f...
Humans Retrospective Studies Deep Learning Ultrasonography Predictive Value of Tests Ultrasonography, Interventional Coronary Vessels
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Deep convolutional neural networks to predict cardiovascular risk from computed tomography.

Nature communications Jan 29, 2021
Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on all computed tomography (CT) scans of the chest, this information is not routinely quantified as it requires expertise, time, and specialized equipment....
Heart Disease Risk Factors Coronary Vessels Cardiovascular Diseases Image Processing, Computer-Assisted Female Humans Middle Aged Asymptomatic Diseases Reproducibility of Results Follow-Up Studies Retrospective Studies Risk Assessment Aged Calcium Tomography, X-Ray Computed Deep Learning Male Chest Pain
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