#JACCIMG review: 18F-labeled PET probes in cardiac #sarcoidosis, innervation, and fibrosis/fibroblast activation. Full article ➡️ ow.ly/zcCH50WsOlc #cvNuc #cvPET #ACCImaging #cvImaging Sharmila Dorbala

#JACCIMG review: 18F-labeled PET probes in cardiac #sarcoidosis, innervation, and fibrosis/fibroblast activation. Full article ➡️ ow.ly/zcCH50WsOlc #cvNuc #cvPET #ACCImaging #cvImaging Sharmila Dorbala

#JACCIMG review: 18F-labeled PET probes in cardiac #sarcoidosis, innervation, and fibrosis/fibroblast activation. Full article ➡️ ow.ly/zcCH50WsOlc #cvNuc #cvPET #ACCImaging #cvImaging Sharmila Dorbala

Similar But Different: Exercise-Induced vs Mutation-Dependent Arrhythmogenic Cardiomyopathy jacc.org/doi/10.1016/j.… An honour to have our work discussed in an editorial by André La Gerche and Hein Heidbuchel in JACC Journals #JACCIMG

18F-labeled fibroblast activation protein inhibitor tracer (18F-FAPI-42) PET imaging can detect fibroblast activation in the myocardium among patients with dilated cardiomyopathy, according to a study published in #JACCIMG. Learn more: bit.ly/46EvuF2 #CardioX #cvPET

High diagnostic accuracy of #YesCCT enables strong FFRCT reproducibility. New #JACCIMG data from Denmark show consistent median FFRCT across 4 serial scans over 18 months using 3rd-gen scanners. jacc.org/doi/10.1016/j.… TIM FAIRBAIRN Kristian Tækker Madsen

Significant disparities in stress testing, #revasc, & outcomes exist between Black & White pts—even w/ matched clinical profiles. Equity in #cvImaging must be a priority. 🔗 ow.ly/J5xc50W5AA6 #JACCIMG #cvCAD

Significant disparities in stress testing, #revasc, & outcomes exist between Black & White pts—even w/ matched clinical profiles. Equity in #cvImaging must be a priority. 🔗 ow.ly/J5xc50W5AA6 #JACCIMG #cvCAD

Significant disparities in stress testing, #revasc, & outcomes exist between Black & White pts—even w/ matched clinical profiles. Equity in #cvImaging must be a priority. 🔗 ow.ly/J5xc50W5AA6 #JACCIMG #cvCAD

Predicting heart attack by #YesCCT – evolving insights from #FFRCT? Obstructive luminal stenosis, plaque burden ≥70%, ⬆️FFRCT ≥0.10 & APC ≥2 were assoc w/ #cvACS risk – higher risk was observed through specific combinations of these findings. jacc.org/doi/10.1016/j.… #JACCIMG

NOTIFY-EXTEND trial results: notifying patients/providers of incidental CAC on prior nongated chest CT ➡️ more statin prescriptions, with 91% remaining on therapy at 18 months. jacc.org/doi/10.1016/j.… #JACCIMG #cvImaging Fatima Rodriguez Alex Sandhu

Understanding the “hole” picture: utility of #YesCCT valve area by planimetry in quantification of aortic valve stenosis, with comparison to #echofirst. jacc.org/doi/10.1016/j.… #JACCIMG #vhdAS #cvImaging Samir Kapadia Serge C. Harb Tom Wang MBChB MD Ankit Agrawal Akiva Rosenzveig

Plaque progression by #YesCCT & #cvPET w/ #PCSK9i? In stable pts w/ extensive non-calcified plaque, 18 mos of evolocumab Tx lowered risk plaque & microcalcification. 🔗 ow.ly/HgFp50W5zw0 #JACCIMG #cvCAD tamarappoo

Plaque progression by #YesCCT & #cvPET w/ #PCSK9i? In stable pts w/ extensive non-calcified plaque, 18 mos of evolocumab Tx lowered risk plaque & microcalcification. 🔗 ow.ly/HgFp50W5zw0 #JACCIMG #cvCAD tamarappoo

Plaque progression by #YesCCT & #cvPET w/ #PCSK9i? In stable pts w/ extensive non-calcified plaque, 18 mos of evolocumab Tx lowered risk plaque & microcalcification. 🔗 ow.ly/HgFp50W5zw0 #JACCIMG #cvCAD tamarappoo

#JACCIMG state-of-the-art review on 18F-labeled PET probes applied to cardiac #sarcoidosis, myocardial innervation, and ongoing fibrosis/fibroblast activation. jacc.org/doi/10.1016/j.… #cvNuc #cvPET #ACCImaging #cvImaging Sharmila Dorbala

Stress testing results could predict prognosis for patients with stable #cvCAD, a new #JACCIMG study suggests. Get the details with TCTMD: bit.ly/4nIcM5h

What’s new in #cvImaging of cardiac #amyloidosis? 124I-evuzamitide PET-CT can identify variant transthyretin allele carriers & wild-type subjects when 99mTc-pyrophosphate does not. jacc.org/doi/10.1016/j.… #cvNuc #JACCIMG #cvPET #ATTR Timothy Poterucha Ani Nalbandian

Both training data and generalization aspects challenge the performance of deep learning algorithms for automated cardiac measurements, according to new research published in #JACCIMG. Read the journal scan to learn more: bit.ly/3UbyVLD #CardioX