Objectives: To assess the optimal reconstruction phase and the image quality of coronary computed tomographic angiography (CCTA) in patients with atrial fibrillation (AF).
Methods: We performed CCTA in 60 patients with AF and 60 controls with sinus rhythm. The images were reconstructed in multiple phases in all parts of the cardiac cycle, and the optimal reconstruction phase with the fewest motion artefacts was identified. The coronary artery segments were visually evaluated to investigate their assessability.
Results: In 46 (76.7 %) patients, the optimal reconstruction phase was end-diastole, whereas in 6 (10.0 %) patients it was end-systole or mid-diastole, and in 2 (3.3 %) patients it was another cardiac phase. In 53 (88.3 %) of the controls, the optimal reconstruction phase was mid-diastole, whereas it was end-systole in 4 (6.7 %), and in 3 (5.0 %) it was another cardiac phase. There was a significant difference between patients with AF and the controls in the optimal phase (p < 0.01) but not in the visual image quality score (p = 0.06).
Conclusions: The optimal reconstruction phase in most patients with AF was the end-diastolic phase. The end-systolic phase tended to be optimal in AF patients with higher average heart rates.
Key Points: The optimal reconstruction phase in 76.7 % of patients with atrial fibrillation (AF) was end-diastole. The end-systolic phase was optimal in AF patients with higher heart rates. ECG and heart-rate control are necessary to obtain end-diastolic images with fewer motion artefacts.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00330-015-3822-0 | DOI Listing |
Sci Rep
December 2024
College of Electric Engineering, Naval University of Engineering, Wuhan, 430033, China.
To address the challenges related to active power dissipation and node voltage fluctuation in the practical transformation of power grids in the field of new energy such as wind and photovoltaic power generation, an improved Dung Beetle Optimization Algorithm Based on a Hybrid Strategy of Levy Flight and Differential Evolution (LDEDBO) is proposed. This paper systematically addresses this issue from three aspects: firstly, optimizing the DBO algorithm using Chebyshev chaotic mapping, Levy flight strategy, and differential evolution algorithm; secondly, validating the algorithm's feasibility through real-time network reconfiguration at random time points within a 24-h period; and finally, applying the LDEDBO to address the dynamic reconfiguration problems of the IEEE-33 and IEEE-69 node bus. The simulation indicates that the power dissipation of the IEEE-33 node bus is decreased by 28.
View Article and Find Full Text PDFAesthetic Plast Surg
December 2024
Dallas Plastic Surgery Institute, 9101 N Central Expy, Dallas, Texas, 75225, USA.
Introduction: Continued interest in the optimization of recovery in aesthetics has led to the exploration of adjunctive therapies. Hyperbaric oxygen therapy (HBOT) serves as one such therapy that may have an impact in this field. HBOT is hypothesized to improve ischemia, reduce swelling, and minimize secondary hypoxic tissue damage.
View Article and Find Full Text PDFWorld Neurosurg
December 2024
Saint Joseph University, Beirut, Lebanon.
Background: Burr holes can lead to cranial defects that result in cosmetic and functional issues. Effective reconstruction of these burr holes is crucial for improving patient outcomes, yet there is no consensus on the optimal techniques and materials.
Objective: This systematic review critically evaluates the efficacy and safety of various materials used in neurosurgical practice for burr hole reconstruction.
J Stomatol Oral Maxillofac Surg
December 2024
Department of Plastic, Hand, and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
Background: Facial palsy (FP) is a widespread condition affecting over 3 million people annually, with a complex etiology requiring tailored, multidisciplinary management. Despite advancements, there remains a lack of reliable, automated tools for objective pre- and postoperative assessment, limiting progress in treatment optimization. This study introduces the AI Research Metrics Model (CAARISMA ® ARMM) to evaluate FP severity and outcomes following microsurgical gracilis muscle transfer.
View Article and Find Full Text PDFNeural Netw
December 2024
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China.
Session-based recommendation aims to recommend the next item based on short-term interactions. Traditional session-based recommendation methods assume that all interacted items are closely related to the user's interests. However, noise (e.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!