Objectives: The transradial approach (TRA) is recommended in coronary catheterization due to the lower rate of bleeding complications compared with the transfemoral approach. However, a disadvantage of TRA is difficulty in puncturing under palpation of the radial pulse alone without arterial visibility. To overcome this limitation, a vessel visualization device using near-infrared rays, Art View (Forte Grow Medical Company), was used in the puncture of the radial artery (RA).
Methods: Patients who underwent coronary angiography via the right RA with Art View were retrospectively surveyed. According to the quality of RA visibility, the performance of the Art View was rated as follows: 5 = excellent; 4 = good; 3 = fair; 2 = not good; and 1 = poor. The primary endpoint was the procedural success of TRA using the Art View device. The secondary endpoints were procedural time (from injection of local anesthesia to successful crossing of the guidewire attached to the sheath), number of RA punctures, and change of puncture method or approach site.
Results: The Art View device was used in 38 patients (mean age, 71 ± 11 years). Puncturing of the visualized RA was successful in 30 patients (79.0%). Among successful cases, the mean procedural time was 142 ± 87 seconds. The success rates of each visualization evaluation were 100%, 100%, 84.6%, 33.3%, and 0% from grades 5 to 1, respectively (P<.01). The mean procedural times were 92 ± 18 seconds, 102 ± 58 seconds, 180 ± 75 seconds, 306 ± 80 seconds, and not available from grades 5 to 1, respectively (P<.01).
Conclusion: The Art View RA visualization device is useful for RA puncture.
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http://dx.doi.org/10.25270/jic/20.00599 | DOI Listing |
J Imaging
December 2024
National Electronic and Computer Technology Center, National Science and Technology Development Agency, Khlong Luang, Pathum Thani 12120, Thailand.
Accurate human action recognition is becoming increasingly important across various fields, including healthcare and self-driving cars. A simple approach to enhance model performance is incorporating additional data modalities, such as depth frames, point clouds, and skeleton information, while previous studies have predominantly used late fusion techniques to combine these modalities, our research introduces a multi-level fusion approach that combines information at early, intermediate, and late stages together. Furthermore, recognizing the challenges of collecting multiple data types in real-world applications, our approach seeks to exploit multimodal techniques while relying solely on RGB frames as the single data source.
View Article and Find Full Text PDFNeural Netw
December 2024
College of Automation, Chongqing University of Posts and Telecommunications, Nan'an District, 400065, Chongqing, China. Electronic address:
Multi-view clustering can better handle high-dimensional data by combining information from multiple views, which is important in big data mining. However, the existing models which simply perform feature fusion after feature extraction for individual views, mostly fails to capture the holistic attribute information of multi-view data due to ignoring the significant disparities among views, which seriously affects the performance of multi-view clustering. In this paper, inspired by the attention mechanism, an approach called Multi-View Fusion Clustering with Attentive Contrastive Learning (MFC-ACL) is proposed to tackle these issues.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
December 2024
High Energy Accelerator Research Organization, Tsukuba, Ibaraki, 305-0801, Japan.
Purpose: In this paper, we describe an algebraic reconstruction algorithm with a total variation regularization (ART + TV) based on the Superimposed Wavefront Imaging of Diffraction-enhanced X-rays (SWIDeX) method to effectively reduce the number of projections required for differential phase-contrast CT reconstruction.
Methods: SWIDeX is a technique that uses a Laue-case Si analyzer with closely spaced scintillator to generate second derivative phase-contrast images with high contrast of a subject. When the projections obtained by this technique are reconstructed, a Laplacian phase-contrast tomographic image with higher sparsity than the original physical distribution of the subject can be obtained.
Comput Struct Biotechnol J
December 2024
School of Information Science and Engineering, Yunnan University, Kunming, 650091, Yunnan, China.
The rapid development of spatial transcriptomics (ST) technology has provided unprecedented opportunities to understand tissue relationships and functions within specific spatial contexts. Accurate identification of spatial domains is crucial for downstream spatial transcriptomics analysis. However, effectively combining gene expression data, histological images and spatial coordinate data to identify spatial domains remains a challenge.
View Article and Find Full Text PDFFront Hum Neurosci
December 2024
Department of Psychology and Institute of Neuroscience, University of Nevada, Reno, NV, United States.
The neural underpinnings of working memory (WM) have been of continuous scientific interest for decades. As the understanding of WM progresses and new theories, such as the distributed view of WM, develop, the need to advance the methods used to study WM also arises. This perspective discusses how building from the state-of-the-art in the field of transcranial magnetic stimulation (TMS), and utilising cortico-cortical TMS, may pave the way for testing some of the predictions proposed by the distributed WM view.
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