Objective: To devise a new urodynamic imaging framework that can provide time-resolved visualization of urinary flow and urethral deformation during the initiation phase of voiding.
Materials And Methods: Contrast-enhanced urodynamic vector projectile imaging (CE-UroVPI) was devised using the principles of high-frame rate ultrasound, microbubble contrast agents, and flow vector mapping. CE-UroVPI was implemented using a research-purpose ultrasound scanner (5 MHz frequency) and commercial contrast agents (USphere Prime). The performance of CE-UroVPI was evaluated using 2 custom-designed deformable urethra phantoms - a healthy model and a diseased model with benign prostatic hyperplasia (BPH) - that respectively simulate urodynamics in the urinary tract with and without mechanical obstruction. The corresponding spatiotemporal urodynamics were investigated and analyzed.
Results: Using a frame rate of 1,250 fps that corresponds to 0.8 ms time resolution, CE-UroVPI effectively depicted the transient urodynamic events during the initiation phase of voiding. Anomalous spatiotemporal characteristics were observed in the urodynamics of the BPH-obstructed urethra. Specifically, upstream from the obstruction site, a transient surge in flow speed was observed in the first 100 ms of voiding. Also, downstream from the obstruction site, complex urodnyamics had emerged in the forms of flow jet and vortices. These anomalies were not found in the healthy urethra.
Conclusion: CE-UroVPI is the first imaging framework that can visualize complex urodynamics over an entire voiding episode including its initiation phase. This new tool may be used to potentially gain new insight into the causal relationships between urethral morphokinetic factors and lower urinary tract symptoms.
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http://dx.doi.org/10.1016/j.urology.2020.03.005 | DOI Listing |
Anal Chem
January 2025
Department of Life Technologies/Biotechnology, Faculty of Technology, University of Turku, Kiinamyllynkatu 10, 20520 Turku, Finland.
The anti-Stokes emission of photon upconversion nanoparticles (UCNPs) facilitates their use as labels for ultrasensitive detection in biological samples as infrared excitation does not induce autofluorescence at visible wavelengths. The detection of extremely low-abundance analytes, however, remains challenging as it is impossible to completely avoid nonspecific binding of label conjugates. To overcome this limitation, we developed a novel hybridization complex transfer technique using UCNP labels to detect short nucleic acids directly without target amplification.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
This paper introduces a novel method for spleen segmentation in ultrasound images, using a two-phase training approach. In the first phase, the SegFormerB0 network is trained to provide an initial segmentation. In the second phase, the network is further refined using the Pix2Pix structure, which enhances attention to details and corrects any erroneous or additional segments in the output.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China. Electronic address:
Bioresour Technol
January 2025
Department of Chemical and Biomolecular Engineering, National University of Singapore, S117585, Singapore; Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), S138602, Singapore. Electronic address:
Pseudomonas putida degraded 35 % of compounds in alkali-pretreated lignin liquor under nitrogen-replete conditions but with low polyhydroxyalkanoates (PHA) production, while limiting nitrogen supplement improved PHA content (PHA/dry cell weight) to 43 % at the expense of decreased lignin degradation of 22 %. Increase of initial cell biomass (0.1--1.
View Article and Find Full Text PDFActa Biomater
January 2025
School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, 325027, P. R. China. Electronic address:
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