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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed  Tomography: Implications for Cardiovascular Risk Prediction
CONCLUSIONS: Automated assessment of EAT volume is possible in CCTA, including in patients who are technically challenging; it forms a powerful marker of metabolically unhealthy visceral obesity, which could be used for cardiovascular risk stratification.PMID:36881425 | DOI:10.1016/j.jcmg.2022.11.018
Source: Atherosclerosis - March 7, 2023 Category: Cardiology Authors: Henry W West Muhammad Siddique Michelle C Williams Lucrezia Volpe Ria Desai Maria Lyasheva Sheena Thomas Katerina Dangas Christos P Kotanidis Pete Tomlins Ciara Mahon Attila Kardos David Adlam John Graby Jonathan C L Rodrigues Cheerag Shirodaria John Dean Source Type: research

Prevalence And Clinical Implications Of Patent Foramen Ovale In The SCOT-HEART Trial
This study assesses the prevalence of PFO in the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial and its clinical implications.
Source: Journal of Cardiovascular Computed Tomography - January 1, 2023 Category: Radiology Authors: M. Williams, S. Sanders, S. Williams, E. van Beek, E. Nicol, D. Newby Source Type: research

Multimodal Optical Diagnostics of the Microhaemodynamics in Upper and Lower Limbs
Conclusion The use of optical non-invasive diagnostic methods has a great potential for the detection of concomitant microcirculation disorders in patients with rheumatic diseases and diabetes. In this review, it was shown that the use of laser Doppler flowmetry, optical tissue oximetry and fluorescence spectroscopy together or separately may have important diagnostic value for the detection of violations, assessment of their severity, as well as for the analysis of the effectiveness of the therapy. The joint application of the considered technologies with the methods of machine learning (discriminant analysis) can be use...
Source: Frontiers in Physiology - April 15, 2019 Category: Physiology Source Type: research