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Mashup Score: 4Cardiac Computed Tomography for Quantification of Myocardial Extracellular Volume Fraction: A Systematic Review and Meta-Analysis - 1 year(s) ago
Abstract Background Extracellular volume (ECV) is a quantitative measure of extracellular compartment expansion, and an increase in ECV is a marker of myocardial fibrosis. Although cardiac magnetic…
Source: www.jacc.orgCategories: Latest Headlines, Partners & KOLsTweet
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Mashup Score: 3
Background: A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (C
Categories: Cardiologists, Latest HeadlinesTweet-
@AllisonGHaysMD @DrAndrewLin @damini_dey @cedarsinai @Doc_Tiger @Priscilla_McE @TzolosEvangelos @benjamin_shou @nipunmanral @danielbermanmd @Piotr_JSlomka Here's the link to the paper again... it is available as open access for a limited time - https://t.co/y5A5iG1HWX #CircImgJC
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Mashup Score: 0
Background: A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (C
Categories: Cardiology News and Journals, Latest HeadlinesTweet-
Join us this afternoon (Nov. 2) at 3PM ET for our next #CircImgJC with authors @DrAndrewLin @damini_dey and @AllisonGHaysMD @cshenoy3 moderating. Paper: https://t.co/hfmCoeQf3A https://t.co/05LVGOiCOs
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Mashup Score: 0
Background: A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (C
Categories: Cardiology News and Journals, Latest HeadlinesTweet-
Reminder! Join us this Weds, Nov 2 at 3PM ET for our next #CircImgJC with authors @DrAndrewLin @damini_dey and @AllisonGHaysMD @cshenoy3 moderating. Paper: https://t.co/hfmCoeQf3A https://t.co/zv4V4Fjojz
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Mashup Score: 0
Background: A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (C
Categories: Cardiology News and Journals, Latest HeadlinesTweet-
Save the date for the next #CircImgJC! Weds, Nov 2 at 3PM ET with @DrAndrewLin @damini_dey and @AllisonGHaysMD @cshenoy3 moderating. Paper: https://t.co/hfmCoeyDF0 https://t.co/GdlKEp8pfh
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Mashup Score: 8
BACKGROUND: A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (C
Categories: Cardiology News and Journals, Latest HeadlinesTweet-
A machine learning score using CCTA-based quantitative plaque features accurately predicts FFR-defined ischemia and impaired PET myocardial blood flow @DrAndrewLin @Doc_Tiger @damini_dey @cshenoy3 @AllisonGHaysMD #AHAJournals https://t.co/Yq3c6TmpjC https://t.co/mDm0mb2Xq0
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Mashup Score: 4Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography: - 3 year(s) ago
Abstract Objectives The aim of this study was to precisely phenotype culprit and nonculprit lesions in myocardial infarction (MI) and lesions in stable coronary artery disease (CAD) using coronary …
Source: JACC: Cardiovascular ImagingCategories: Expert Picks, Latest HeadlinesTweet-
Using #AI radiomics to automate the identification of culprit plaque in #cvAMI? In this study, culprit and nonculprit lesions in AMI have distinct radiomic signatures of high risk plaque on #YesCCT. https://t.co/sNaVW2I4Ob #JACCIMG #CardioTwitter #cvCAD #cvImaging @DrAndrewLin https://t.co/vy7mzEq97c
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Mashup Score: 1
Atherosclerotic plaque quantification from coronary CT angiography (CCTA) enables accurate assessment of coronary artery disease burden and prognosis.…
Source: www.sciencedirect.comCategories: Cardiologists, Latest HeadlinesTweet-
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification & risk prediction. https://t.co/2S1TG5RUjt @LancetDigitalH @damini_dey @imagingmedsci @DrAndrewLin @Piotr_JSlomka @danielbermanmd @Steph_Achenbach @TzolosEvangelos https://t.co/rqqDNQxtuY
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Mashup Score: 0Artificial Intelligence in Cardiovascular Imaging for Risk Stratification in Coronary Artery Disease | Radiology: Cardiothoracic Imaging - 4 year(s) ago
This review covers state-of-the-art artificial intelligence applications across various noninvasive imaging modalities for the quantification of cardiovascular risk in coronary artery disease.
Source: pubs.rsna.orgCategories: Latest Headlines, RadiologyTweet-
Read a comprehensive review of state-of-the-art AI applications across noninvasive imaging modalities for quantifying cardiovascular risk in CAD. https://t.co/1nyHn8jlLA @DrAndrewLin @damini_dey https://t.co/MJ6fX5oalP
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Has #YesCCT caught up to #WhyCMR for ECV assessment? In this meta-analysis, CCT showed excellent correlation w/ mean difference of <1% across small studies that included AS & #amyloidosis. Larger studies still needed. https://t.co/R2OyXjCI57 #JACCIMG @tamarappoo @DrAndrewLin https://t.co/YSU2LrHltN