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Prostate Cancer Risk Prediction Model Using Clinical and Magnetic Resonance Imaging-Related Findings: Impact of Combining Lesions' Locations and Apparent Diffusion Coefficient Values.
J Comput Assist Tomogr
November 2024
From the Department of Radiology, Mayo Clinic, Rochester, MN.
Objectives: The aims of the study are to develop a prostate cancer risk prediction model that combines clinical and magnetic resonance imaging (MRI)-related findings and to assess the impact of adding Prostate Imaging-Reporting and Data System (PI-RADS) ≥3 lesions-level findings on its diagnostic performance.
Methods: This 3-center retrospective study included prostate MRI examinations performed with clinical suspicion of clinically significant prostate cancer (csPCa) between 2018 and 2022. Pathological diagnosis within 1 year after the MRI was used to diagnose csPCa.
Using deep learning to shorten the acquisition time of brain MRI in acute ischemic stroke: Synthetic T2W images generated from b0 images.
PLoS One
January 2025
Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Objective: This study aimed to assess the feasibility of the deep learning in generating T2 weighted (T2W) images from diffusion-weighted imaging b0 images.
Materials And Methods: This retrospective study included 53 patients who underwent head magnetic resonance imaging between September 1 and September 4, 2023. Each b0 image was matched with a corresponding T2-weighted image.
Biochemical, Antioxidant, and Antimicrobial Profiling of Essential Oils of Indian Origin for Culinary Applications.
Int J Food Sci
December 2024
National Fisheries Development Board, Hyderabad, Telangana, India.
This study investigated the biochemical composition and tested the antioxidant and antimicrobial properties of four Indian-origin essential oils (EOs)-ginger, garlic, clove, and eucalyptus-to evaluate their potential for culinary applications. Gas chromatography-mass spectrometry (GC-MS) analysis was used to identify the chemical constituents of EOs. Antioxidant assays such as 2,2-diphenyl-1-picrylhydrazyl (DPPH) and ferric reducing antioxidant power (FRAP) and antimicrobial assays such as Agar well diffusion, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) were carried out.
View Article and Find Full Text PDFValidation and adaptation of the diffusion of intimate images among adolescents (EDIMA) scale in adolescents from Peru.
Front Psychol
December 2024
Asociación de estudiantes de medicina de la Universidad Señor de Sipán (ASOCIEM USS), Chiclayo, Peru.
Background: The use of technologies through social networks is a common practice among adolescents who use it to communicate. However, the lack of control and supervision of these media means that they disseminate any type of information, including sexual content.
Objective: To evaluate the psychometric properties of the Intimate Images Diffusion Scale (EDIMA) in Peruvian adolescents.
An optimized public opinion communication system in social media networks based on K-means cluster analysis.
Heliyon
December 2024
Xinxiang Medical University, Xinxiang, 453000, China.
This study proposes a public opinion monitoring model that combines the K-means clustering algorithm with Particle Swarm Optimization (PSO) to enhance the accuracy and effectiveness of public opinion monitoring on social media. The model's performance across various dissemination indicators is studied in detail. Through experiments conducted on social media datasets, the study comprehensively evaluates the model from four dimensions: dissemination speed, scope, depth, and sentiment dissemination effectiveness.
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