Single-beat determination of global longitudinal speckle strain in patients with atrial fibrillation

Yamaguchi, Kazuto; Ito, Saki; Adachi, Tomoko; Takahashi, Nobuyuki; Tanabe, Kazuaki

doi:10.1007/s12574-012-0135-z

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…Additionally, with regard to strain measurement, the manual contouring of the LV endocardium may result in significant intra-and inter-operator variability that may affect the accuracy of echocardiography in diagnosing CA patients [31,43]. Furthermore, GLS assessment in patients with atrial fibrillation (AF), which is very common among CA patients, is challenging because of the irregular and variable heart rate [44], which affects the timing and duration of the cardiac cycle. As such, research aimed at the use of AI algorithms for the detection of CA using echocardiography may help identify the disease earlier and help reduce observer variability [31,45].…”

Section: Ai Applications To Echocardiography In Cardiac Amyloidosismentioning

confidence: 99%

How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges

Kamel,

Abbas,

Kanaan

et al. 2024

JCDD

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Cardiac amyloidosis (CA) is an underdiagnosed form of infiltrative cardiomyopathy caused by abnormal amyloid fibrils deposited extracellularly in the myocardium and cardiac structures. There can be high variability in its clinical manifestations, and diagnosing CA requires expertise and often thorough evaluation; as such, the diagnosis of CA can be challenging and is often delayed. The application of artificial intelligence (AI) to different diagnostic modalities is rapidly expanding and transforming cardiovascular medicine. Advanced AI methods such as deep-learning convolutional neural networks (CNNs) may enhance the diagnostic process for CA by identifying patients at higher risk and potentially expediting the diagnosis of CA. In this review, we summarize the current state of AI applications to different diagnostic modalities used for the evaluation of CA, including their diagnostic and prognostic potential, and current challenges and limitations.

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Section: Ai Applications To Echocardiography In Cardiac Amyloidosismentioning

confidence: 99%

How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges

Kamel,

Abbas,

Kanaan

et al. 2024

JCDD

View full text Add to dashboard Cite

show abstract

Value of Index Beat in Evaluating Left Ventricular Systolic and Diastolic Function in Patients with Atrial Fibrillation: A Dual Pulsed-Wave Doppler Study

Kong

Sun

et al. 2020

Ultrasound in Medicine & Biology

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Single-beat determination of global longitudinal speckle strain in patients with atrial fibrillation

Abstract: The GLS at RR1/RR2 = 1 allows the LV systolic parameter to be accurately evaluated during AF and obviates the less reliable process of averaging multiple irregular beats.

Cited by 2 publications

References 31 publications

How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges

How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges

Value of Index Beat in Evaluating Left Ventricular Systolic and Diastolic Function in Patients with Atrial Fibrillation: A Dual Pulsed-Wave Doppler Study

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