CT tube voltage doesn't affect AI FFR-CT analysis
An artificial intelligence (AI) algorithm for estimating fractional flow reserve...Read more on AuntMinnie.comRelated Reading: ISCT: Machine-learning FFR-CT expedites heart evaluation FFR-CT algorithm guides management of revascularization 3D printing lowers risk and cost of testing FFR-CT Machine learning improves FFR-CT for coronary ischemia Prototype FFR-CT software shows high accuracy vs. invasive FFR
Condition: Transplant; Decision-making Interventions: Other: Total Survival; Other: Stratified Transplant Survival Sponsor: Carnegie Mellon University Not yet recruiting
Authors: Walsh JL, AlJaroudi WA, Lamaa N, Abou Hassan OK, Jalkh K, Elhajj IH, Sakr G, Isma'eel H Abstract Objectives. In heart failure, invasive angiography is often employed to differentiate ischaemic from non-ischaemic cardiomyopathy. We aim to examine the predictive value of echocardiographic strain features alone and in combination with other features to differentiate ischaemic from non-ischaemic cardiomyopathy, using artificial neural network (ANN) and logistic regression modelling. Design. We retrospectively identified 204 consecutive patients with an ejection fraction
Publication date: Available online 19 October 2019Source: The Annals of Thoracic SurgeryAuthor(s): Leona T. Yarboro
ConclusionsRisk stratification for cardiac amyloidosis with the newly developed “HeiRisk” score may be superior to other staging systems for patients with advanced heart failure due to amyloid cardiomyopathy.
Publication date: October 2019Source: Clinical Lymphoma Myeloma and Leukemia, Volume 19, Issue 10, SupplementAuthor(s): Inhwan Hwang, Dok Hyun Yoon, Cheolwon Suh, Jea-Joong kim, Chan-Jeoung Park, Jae Won Lee, Tae-Jin Yun, Sung Ho Jung, Min-Seok Kim, Heejung Chae
Publication date: Available online 16 October 2019Source: Pharmacological ResearchAuthor(s): Sivakkanan Loganathan, Yuxing Guo, Weipeng Jiang, Tamás Radovits, Mihály Ruppert, Alex Ali Sayour, Maik Brune, Paige Brlecic, Phillipp Gude, Adrian-Iustin Georgevici, Benito Yard, Matthias Karck, Sevil Korkmaz-Icöz, Gábor SzabóAbstractThe major source of heart transplantation comes from brain-dead (BD) donors. However, brain death and myocardial ischemia/reperfusion injury during transplantation may lead to cardiac dysfunction and hemodynamic instability. A previous work demonstrated that pre-treatm...
Conclusions: Interval exercise was well tolerated and preferred by participants with advanced ILD. PMID: 31625781 [PubMed - as supplied by publisher]
Abstract Dilated cardiomyopathy (DCM) is the most common cause of heart failure (HF) in children, resulting in high mortality and need for heart transplantation. The pathophysiology underlying pediatric DCM is largely unclear, however there is emerging evidence that molecular adaptations and response to conventional HF medications differ between children and adults. In order to gain insight into alterations leading to systolic dysfunction in pediatric DCM, we measured cardiomyocyte contractile properties and sarcomeric protein phosphorylation in explanted pediatric DCM myocardium (N=8) compared to non-failing (NF)...
Mind-reading exoskeletons, digital tattoos, 3D printed drugs, RFID implants for recreational purposes: mindblowing innovations come to medicine and healthcare almost every single day. We shortlisted some of the greatest ideas and developments that could give us a glimpse into the future of medicine, but we found so many that we had trouble fitting them into one article. Here are the first ten spectacular medical innovations to watch for. 1) Mixed reality opens new ways for medical education Augmented, virtual, and mixed reality are all technologies opening new worlds for the human senses. While the difference between...