cardiac imaging
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2022 ◽  
Vol 44 (2) ◽  
pp. 159-164
Author(s):  
Salwa M.A. Ibrahim ◽  
Hala M.A. Sabah ◽  
Ahmed I. Eldesoky ◽  
Marwa Y. Soltan ◽  
Hebatallah A. Elshamy ◽  
...  

2022 ◽  
Author(s):  
◽  
Leonardus Bernardus van den Oever

2022 ◽  
Vol 8 ◽  
Author(s):  
Francesco Bandera ◽  
Anita Mollo ◽  
Matteo Frigelli ◽  
Giulia Guglielmi ◽  
Nicoletta Ventrella ◽  
...  

The left atrium (LA) is emerging as a key element in the pathophysiology of several cardiac diseases due to having an active role in contrasting heart failure (HF) progression. Its morphological and functional remodeling occurs progressively according to pressure or volume overload generated by the underlying disease, and its ability of adaptation contributes to avoid pulmonary circulation congestion and to postpone HF symptoms. Moreover, early signs of LA dysfunction can anticipate and predict the clinical course of HF diseases before the symptom onset which, particularly, also applies to patients with increased risk of HF with still normal cardiac structure (stage A HF). The study of LA mechanics (chamber morphology and function) is moving from a research interest to a clinical application thanks to a great clinical, prognostic, and pathophysiological significance. This process is promoted by the technological progress of cardiac imaging which increases the availability of easy-to-use tools for clinicians and HF specialists. Two-dimensional (2D) speckle tracking echocardiography and feature tracking cardiac magnetic resonance are becoming essential for daily practice. In this context, a deep understanding of LA mechanics, its prognostic significance, and the available approaches are essential to improve clinical practice. The present review will focus on LA mechanics, discussing atrial physiology and pathophysiology of main cardiac diseases across the HF stages with specific attention to the prognostic significance. Imaging techniques for LA mechanics assessment will be discussed with an overlook on the dynamic (under stress) evaluation of the chamber.


Author(s):  
Youssef S. Abdelwahed ◽  
Edna Blum ◽  
Ulf Landmesser ◽  
Gerald S. Werner ◽  
David M. Leistner
Keyword(s):  

Author(s):  
Ugo Pirocca ◽  
Nawale Hadouiri ◽  
Axel Bartoli ◽  
Thibaud Morcet-Delattre ◽  
François Pontana ◽  
...  

2022 ◽  
Vol 162 ◽  
pp. 177-183
Author(s):  
Sunil J. Ghelani ◽  
Alexander R. Opotowsky ◽  
David M. Harrild ◽  
Andrew J. Powell ◽  
Nina Azcue ◽  
...  

Cureus ◽  
2021 ◽  
Author(s):  
Kelash Kumar ◽  
Karthik Seetharam ◽  
Fnu Poonam ◽  
Amit Gulati ◽  
Adnan Sadiq ◽  
...  

Author(s):  
Andrew M. Taylor

Abstract Artificial intelligence (AI) offers the potential to change many aspects of paediatric cardiac imaging. At present, there are only a few clinically validated examples of AI applications in this field. This review focuses on the use of AI in paediatric cardiovascular MRI, using examples from paediatric cardiovascular MRI, adult cardiovascular MRI and other radiologic experience.


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