Statin efficacy to decrease #MACE depends on #CAD phenotypes and increases with the extent and severity of disease and in the presence of high-risk plaques. Patients without CAD have no benefit from statin therapy regarding MACE. https://t.co/OUpvgkgOBv #JACCIMG #cvCAD

AHA journals launch the TRUE-AIM report card to promote high-quality, reproducible AI research #AHAJournals https://t.co/bzr1pfRNmJ

Transparency, open-science principles🧪, and quality assurance of published AI🧠articles are needed. Check out the TRUE-AIM report card📄of #AHA that aims to standardize the reporting of AI methods in scientific articles, and will be required from now on: https://t.co/jyIprpyKw2

It was an honor🙏 to lead the development of the TRUE-AIM initiative which aims to standardize the reporting of AI methods in scientific articles. Check out our article below 👇 as it will be required for your AI articles submitted to #AHA journals 🫀

High ANGPTL3 contributes to residual risk of major adverse cardiovascular events among people with HIV on statins @jclinicalinvest @SteveGrinspoon @harvardmed @MKolossvary 🇺🇸 https://t.co/NdRXPSQi2e

For any cardiology fellows interested in training in multimodality CV imaging --> we have an unexpected opening for our 2 year fellowship starting July 1, 2026 Please RT/share #YesCCT #ThinkPET #WhyCMR #EchoFirst #CVImaging #ACCImaging #PCCT

Happening now | AI/ML workshop Experts are diving into how AI/ML are transforming #yesCCT @MKolossvary @Doc_Tiger @AChoiHeart

@MKolossvary #SCCT2025 Nothing is simply better because it's Al, yet to see AI improve patient outcomes in RcTs Al/ ML models trained on data sets have multiple parameters that can be tuned to achieve optimal performance & will also cause overfitting & results in weak

Humbled and honored to lead this incredible effort and to see the RVNet(Work) group’s Roadmap published in @NatRevCardiol Free full text link: https://t.co/TiX1ZJaFOS @ElenaSurkova9 @nicoa002 @oxborough77 @DanXAugustine 🙏🏻Reviewers: @JGrapsa @NAjmoneMarsan @AlexLee_MD

📢 Expedited Review for #ESCCongress 2025! @CircImaging invites authors with accepted ESC presentations to submit manuscripts for rapid review. Initial decisions within 10 days! Submit by June 23 👉 https://t.co/LeMUYZ0JOI #CardioTwitter #CardioImaging @kaznegishi

Radiomics – seeing deeper into CCT plaque? Radiomics-based precision phenotyping of coronary plaque morphology improved prediction (c-statistic 0.7 to 0.74) of #cvMI by #YesCCT over & above clinical factors & plaque burden in the SCOT-HEART trial. https://t.co/vUM1wFziVt #JACCIMG

REPRIEVE trial: People with HIV are at increased risk of cardiovascular events due to noncalcified coronary plaque (NCP); pitavastatin reduces MACE and NCP volume, likely through collagen pathways, independent of LDL-C levels. https://t.co/n7hNeKMOJK @reprievetrial

It is a huge honor to have received this years JACC Imaging award 🏆named after Prof. Narula. Shout out to the #SCOTHEART team for making this possible! Stay tuned! I have some every exciting projects coming later this year, that hope to transform how we do CV research 🔬

There are so many configurations how plaque components may be distributed in plaques. Why wouldn’t it matter? It’s time to accept that not only quantity, but also quality that is important 🫀

Introducing TotalSegmentator Annotate: a simple web-based tool where anyone can help improve segmentation data. Your contributions directly help us train a better, smarter TotalSegmentator. Start making an impact today. (Link in the comments)

Ever wonder why 💊statins ⬇️ LDL results in plaque stabilization? Why delipidation of plaques also results in a fibrotic transformation? We show a novel mechanism of statins to increase collagen expression which results in plaque stabilization. A new 💊 target?! Find out more 👇

“Coronary Plaque Radiomic Phenotypes Predict Fatal or Nonfatal Myocardial Infarction: Analysis of the SCOT-HEART Trial” Another fantastic analysis of the SCOT-HEART trial focusing on the prediction of Acute MI through radiomics. Background and Objectives The study aims to

Can #radiomic phenotypes help improve MACE prediction beyond plaque burden? Does plaque morphology play a role in long-term outcomes? Long-term SCOT-HEART analysis 👇@DrAndrewLin @damini_dey @imagingmedsci https://t.co/LsByithuPj

Another piece to show that we should be very cautious when interpreting PCAT in #yesCCT -> Intraindividual variation up to 33HU with different kernels and IR strengths! https://t.co/7Z9KVuH9sp @EurRadiology @MatthEberhard @mergen_v @rmanka_ @CardioZurich @RadiologieUSZ

Ultrahigh-resolution Photon-Counting Detector-CT offers more precise coronary stenosis measurements than conventional CT, leading to a high rate of CAD-RADS reclassification @VecseyNagy29543 @GiuseppeTremam3 #AHAJournals @JiwonKimMD @kaznegishi https://t.co/um9SaBn40H