software prototype cffr (Siemens Healthineers)
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Software Prototype Cffr, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/prototype+software+cffr/software+prototype+cffr/pmc10878454-90-14-18
Average 90 stars, based on 1 article reviews
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other:Article Title: The Role of CCTA-derived Cardiac Structure and Function Analysis in the Prediction of Readmission in Nonischemic Heart Failure Article Snippet: Article Title: Advanced CT measures of coronary artery disease with intermediate stenosis in patients with severe aortic valve stenosis Article Snippet: The Article Title: One-year outcomes of CCTA alone versus machine learning-based FFR CT for coronary artery disease: a single-center, prospective study. Article Snippet: Objectives To explore downstream management and outcomes of machine learning (ML)–based CT derived fractional flow reserve (FFRCT) strategy compared with an anatomical coronary computed tomography angiography (CCTA) alone assessment in participants with intermediate coronary artery stenosis.. Methods In this prospective study conducted fromApril 2018 toMarch 2019, participants were assigned to either the CCTAor FFRCT group.. The primary endpoint was the rate of invasive coronary angiography (ICA) that demonstrated non-obstructive disease at 90 days. Article Title: FFR CT and Static Computed Tomography Myocardial Perfusion Imaging for Therapeutic Decision-making and Prognosis in Patients With Coronary Artery Disease Article Snippet: Article Title: Coronary CT FFR vs Invasive Adenosine and Dobutamine FFR in a Right Anomalous Coronary Artery Article Snippet: Furthermore, Article Title: Advanced CT measures of coronary artery disease with intermediate stenosis in patients with severe aortic valve stenosis. Article Snippet: The CT dataset was processed using a validated Article Title: On-site CT-derived cFFR in patients with suspected coronary artery disease: Feasibility on a 128-row CT scanner in everyday clinical practice. Article Snippet: Analyses of fractional Software:Article Title: Machine learning based ischemia-specific stenosis prediction: A Chinese multicenter coronary CT angiography study. Article Snippet: Objectives: To evaluate the performance of coronary computed tomography angiography (CCTA) derived characteristics including CT derived fractional flow reserve (CT-FFR) with FFR as a reference standard in identifying the lesion-specific ischemia by machine learning (ML) algorithms.. Methods: The retrospective analysis enrolled 596 vessels in 462 patients (mean age, 61 years ± 11 [SD]; 71.4 % men) with suspected coronary artery disease who underwent CCTA and invasive FFR.. The data were divided into training cohort, internal validation cohort, external validation cohorts 1 and 2 according to participating centers. |
