Filtered By:
Specialty: Cardiology
Procedure: Ultrasound

This page shows you your search results in order of date. This is page number 16.

Order by Relevance | Date

Total 487 results found since Jan 2013.

Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study
CONCLUSIONS: The proposed study demonstrates a fast, accurate, and reliable solution for early detection and quantification of plaque lesions in common carotid artery ultrasound scans. The system runs on a test US image in < 1 second, proving overall performance to be clinically reliable.PMID:34825801 | DOI:10.23736/S0392-9590.21.04771-4
Source: International Angiology - November 26, 2021 Category: Cardiology Authors: Pankaj K Jain Neeraj Sharma Luca Saba Kosmas I Paraskevas Mandeep K Kalra Amer Johri Andrew N Nicolaides Jasjit S Suri Source Type: research

Angiographic-only or intravascular ultrasound-guided approach for left-main coronary artery intervention: a systematic review and meta-analysis
CONCLUSION: IVUS-guided LMCA intervention is associated with overall improved cardiovascular outcomes than the angiography-only approach. This needs to be tested in a large randomized controlled trial.PMID:34747315 | DOI:10.1080/14779072.2021.2004122
Source: Expert Review of Cardiovascular Therapy - November 8, 2021 Category: Cardiology Authors: Sameer Saleem Waqas Ullah Maryam Mukhtar Deepika Sarvepalli Sundas Younas Shuaib Ahmed Arab Bashar Al Hemyari Salman Zahid Salik Nazir Tayyab Cheema Tanveer Mir Mohammad Abdul-Waheed Source Type: research

Adiposity, fat depots and the prediction of stroke
CONCLUSIONS: It was found that age, WC and echocardiographic EFT revealed significant predictive values for stroke. Both WC and EFT showed a very high NPV suggesting that they should be implemented into the clinical practice as a tool affirming a very low risk of stroke.PMID:34708862 | DOI:10.5603/CJ.a2021.0134
Source: Cardiology Journal - October 28, 2021 Category: Cardiology Authors: Maciej Haberka Andrzej Kubicius Monika Starzak Ma łgorzata Patryka Zbigniew G ąsior Source Type: research