Exciting study by Sang-Eun Lee et al shows how radiomics may aid in identifying imaging features beyond the human eye in identifying coronary segments that will develop new atherosclerotic plaques on CCTA (coronary computed tomography angiography). ow.ly/caYa50SaMRv

Good news for patients with high heart rate and breath holding limitations! Second-generation intra-cycle motion correction algorithm improves the delineation and interpretability of coronary arteries in CCTA compared to first-generation algorithm. ow.ly/RhMT50SaN6O

Need to invasively assess patients with previous CABG? Do not worry: in BYPASS-CTCA randomized, performance of CTCA before ICA led to improved procedural parameters, lower complication rates and better 12-month outcomes. ow.ly/lU1z50SaNbv

🔖 Biomarkers for identification of high-risk coronary artery plaques in patients with suspected coronary artery disease 📍Journal of Cardiovascular CT kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F%2…

🔍 Exciting new research from Mancini et al. reveals that measures of plaque components remain highly correlated across diverse platforms and HU thresholds! #atherosclerosis doi.org/10.1016/j.jcct…

A technical report from Gulizia et al showed that a substantial dose reduction, up to 64%, is feasible thanks to Deep Learning Image Reconstruction (DLIR) while preserving image quality compared to standard iterative reconstruction. ow.ly/2GsJ50Se5cV

📣Have you heard the news? JCCT is moving up in rank with an increase in our 2023 impact factor once again! 🥳 Check out the latest issue, with Heart_SCCT President Ed Nicol's farewell address & more: ow.ly/YP7e50SBLey

🚨 Journal of Cardiovascular CT is launching its first special focus issue on the economic and logistical aspects of running a cardiac CT program. Submit your original research by September 30, 2024!www2.cloud.editorialmanager.com/jcct/default2.…

He et al reviews the role of cardiac CT angiography in the post-TAVR period for its utility for long-term TAVR monitoring and risk stratification for future invasive procedures. ow.ly/cR6F50SRb66

This study by Natanzon et al demonstrates that physical activity as assessed by a single-item self-reported questionnaire is a strong stepwise inverse predictor of mortality risk among patients undergoing CCTA. ow.ly/YWRI50SRbcb

This study by Ko et al demonstrates the usefulness of CCTA for guiding PCI interventions and stent sizing. ow.ly/Jenh50SRbix

In this example of personalized medicine, Mokryk et al analyze the results of the CT-guided Aortic Valve Neocuspidization (AVNeo) compared to the Ozaki technique in heart valve surgery. ow.ly/w2Wk50SRbqg

We're preparing #SCCTGlobal2025 in #Amsterdam! Submit an abstract for poster presentations and don’t miss your chance to join us and share your original contributions in the field. All accepted abstracts will be published in the Journal of Cardiovascular CT ow.ly/GIba50STfRp

Have we been doing it wrong? Research by Ouchi et al compare the accuracy of calcification volume score compared to the traditional Agatston score for quantifying aortic valve calcification (AVC) on non-ECG gated CT. ow.ly/CZ4M50SRbwt

In this validation study, Zheng et al evaluate the accuracy of the 2019 ESC pre-test probability model in predicting obstructive CAD in a Chinese population using CCTA. ow.ly/M6Aw50SRbBc

Interested in AI 🤖 & cardiovascular CT #yesCCT …but not sure where to start 🤷🏻‍♂️🤷‍♀️? ➡️Check out the definitive Heart_SCCT AI/ML white paper 👉🏼 authors.elsevier.com/sd/article/S19… - by imagingmedsci & other bots

CT and ischemia? A novel artificial-intelligence-guided quantitative CT ischemia algorithm (AI-QCTischemia) is able to predict events in the subset of patients with preserved myocardial perfusion by 15O-H2O-PET imaging. ow.ly/TEAU50TaVXR

Congenital is for CT! Cardiac CT can be successfully used to define the anatomy and features of congenital coronary artery anomalies, and that the identification of high risk characteristics at CT may have a prognostic value. ow.ly/ktHF50TaW6p

CAC scan can do more! LA volume with an AI-enabled automated tool for cardiac chambers volumetry in CAC scans from MESA study population enabled prediction of AF and improved risk classification compared to CHARGE-AF Risk Score and NT-proBNP calculation. ow.ly/zKy850TaWaC

CAC scan can do more! Cardiac chamber volumetry with an AI-enabled automated tool applied to CAC scans from MESA study enabled prediction of heart failure at 15 years follow-up outperforming NT-proBNP, Agatston CAC score and clinical risk factors. ow.ly/u8gM50TaWpU.