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An AI-based tool can rapidly and accurately measure plaque volume and stenosis severity from coronary CTA images in patients w/ stable chest pain, according to new data. It also has the potential to better predict future MIs. tctmd.com/news/deep-lear… Damini Dey Dr. Todd C. Villines

Get up to date with what happened last year in the field of CCT! What a year!!!

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. bit.ly/3G1GnkR #JACCIMG #CardioTwitter #cvCAD #cvImaging Andrew Lin

After a very successful first volume, with Damini Dey and Andrew Lin we are inviting everyone to consider submitting their radiomic research in CVD to Frontiers in Cardiovascular Medicine 🧪♥️🩺(IF: 6.050)

Dr. Todd C. Villines #Topten 📝s #SCCT2022 6. #DeepLearning Plaque volume 🆚 IVUS 🆚 expert :DL rapid (<6 sec!) assessment of plaque volume stenosis accurate! bit.ly/3Pag8fG 7.Scot-heart CTA LAP burden & PCAT attenuation predicts risk of mi bit.ly/3RFepAQ

Key message from #SCCT2022: Substantial growth of Cardiac CT around the globe! Fueled by innovations, scientific data, guidelines, and more... 👇trends in England, publications, Heart_SCCT membership

Delighted to receive Postdoctoral Fellowship funding. Thanks to Heart Foundation for supporting our research using coronary CT and AI to better understand the effects of statins on plaques. Monash University @VicHeartInst Steve Nicholls

#PCAT is considered a marker of inflammation on #YesCCT But do associations with #PCAT persist if you correct your models for potential confounders? In our analysis of >2000 patients, No... sciencedirect.com/science/articl… Andrew Lin Damini Dey Pál Maurovich-Horvat Melinda B Heart_SCCT

Our paper now out in CircImaging. Machine learning integration of quantitative plaque features from #YesCCT predicts ischemia by invasive FFR and ⬇️myocardial blood flow by PET. A multicenter collaboration with data from NXT & PACIFIC trials. Damini Dey Manish Motwani Heart_SCCT

Save the date for the next #CircImgJC! Weds, Nov 2 at 3PM ET with Andrew Lin Damini Dey and Allison G. Hays, MD Chetan Shenoy moderating. Paper: ahajournals.org/doi/10.1161/CI…

We are excited to announce that our blinded randomized clinical trial of AI LVEF (EchoNet-Dynamic) has been published in @nature! Bryan He James Zou StanfordDBDS Cedars-Sinai Academic Medicine nature.com/articles/s4158… 1/n

Dr Andrew Lin (Andrew Lin) from Monash University showing that inflammation inhibits local adipogenesis in pericoronary adipose tissue (PCAT) and this can be detected by AI-driven🤖algorithms on #YesCCT as an increase in CT attenuation of PCAT which improves prognosis #SCCT2023

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 👇Andrew Lin Damini Dey imagingmedsci jacc.org/doi/10.1016/j.…

Higher density, lower risk #cvCAD plaque? Higher #CAC density confers a lower risk of future #CVD events with a ~20% lower risk for each standard deviation increase in density in this systemic review and meta-analysis jacc.org/doi/10.1016/j.… #YesCCT #JACCIMG Andrew Lin

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. jacc.org/doi/10.1016/j.… #JACCIMG

#JACCIMG honors Drs. Márton Kolossváry & Andrew Lin with the Jagat Narula Award for their groundbreaking research on coronary plaque radiomic phenotypes predicting fatal or nonfatal MI! 🎉 📎: jacc.org/doi/10.1016/j.… #ACC25 #TheFaceOfCardiology #cvMI #cvImaging Márton Kolossváry