Which #LGE#sequences do you use in #whycmr?
We found the Dark-Blood PSIR reconstruction (TI ~150ms) with better grayscale available #4free on any #cmr#scanner non-inferior and allrounder also in non-ischemic cardiomyopathy. #radiology#CardioTwitter
https://t.co/Ba8XRMfray
Accelerating spine MRI: Deep learning reconstruction enabled a 70% reduction in scan time without compromising image quality or diagnostic confidence and the reconstructed images were interchangeable with conventional MRI images @RadITrainEditor
https://t.co/nRVyXGJ3xD
💥 Published today #JACCimg 👉🏼
Right ventricle is another🔑 in #myocarditis:
❗️26% have RV involvement in 🧲#whyCMR
‼️RVEF is an independent and incremental predictor of ☠️ 🏥(beyond clinics, LVEF and LV LGE-extent).
@domcbenz@BernCVRC@JACCjournals
https://t.co/dpoHomQsSo
FDG-PET: new application in #myocarditis? This #JACCIMG study provides novel insights about the use of FDG-PET scan as a meaningful tool to guide diagnosis, risk stratification and treatment in patients with biopsy-proven arrhythmic myocarditis. https://t.co/x5tsKsQa3y #cvNuc
Healed, inactive cardiac inflammation. Fused PET/MRI with late-gadolinium enhancement (LGE) in basal short axis and corresponding T1 map. Patient with chronic cardiac sarcoidosis (cCS): increased values in T1 mapping, no myocardial scar in LGE, no increased FDG uptake (MR+/PET-).
Fig. 3
Active cardiac inflammation. Fused PET/MRI with late-gadolinium enhancement (LGE). 43-year-old patient with active cardiac sarcoidosis (aCS): basal inferolateral nonischemic LGE (arrow) and corresponding enhanced FDG uptake in PET (MR+/PET+).
#Cardiology changes - so does imaging 👉🏼 Digital #ThinkPET is an excellent tool for cardiac risk stratification.
🔍 Read our editorial in @IJCardiol: https://t.co/yza5BRbocj!
@MyASNC#cvNuc@domcbenz
The basis for rare mRNA vaccine-induced myocarditis has largely been a mystery
A new @NEJM report provides evidence for interleukin-1 receptor antagonist (IL-1RA) autoantibodies, w/ heart biopsies, as a potential cause
https://t.co/AEAdnfxMxo
@LorenzThurner @ChristophKessel et al