Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Motion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning-Based Denoising.
Invest Radiol
January 2025
From the Department of Radiology, Stanford University, Stanford, CA (K.W., M.J.M., A.M.L., A.B.S., A.J.H., D.B.E., R.L.B.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA (K.W.); GE HealthCare, Houston, TX (X.W.); GE HealthCare, Boston, MA (A.G.); and GE HealthCare, Menlo Park, CA (P.L.).
Objectives: Pancreatic diffusion-weighted imaging (DWI) has numerous clinical applications, but conventional single-shot methods suffer from off resonance-induced artifacts like distortion and blurring while cardiovascular motion-induced phase inconsistency leads to quantitative errors and signal loss, limiting its utility. Multishot DWI (msDWI) offers reduced image distortion and blurring relative to single-shot methods but increases sensitivity to motion artifacts. Motion-compensated diffusion-encoding gradients (MCGs) reduce motion artifacts and could improve motion robustness of msDWI but come with the cost of extended echo time, further reducing signal.
View Article and Find Full Text PDFUtility of 3D facial reconstruction for forensic identification: a focus on facial soft tissue thickness and customized techniques.
Forensic Sci Med Pathol
January 2025
Department of Anatomy, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Facial reconstruction, a crucial method in forensic identification, finds particular significance in cases where conventional means of identification are unavailable. This study addresses a significant gap in the field of forensic facial reconstruction focusing on facial soft tissue thickness (FSTT) and facial reconstruction techniques specifically tailored to the Thai population. By developing and implementing the 3D (three-dimensional) facial reconstruction program and compiling an extensive dataset of FSTT, this research makes substantial progress in advancing forensic facial reconstruction methodologies employing the combination Manchester Method, 3D skull images obtained through cone beam computed tomography (CBCT) scans were reconstructed using Autodesk Maya software.
View Article and Find Full Text PDFRethinking speech sound disorder (SSD) in non-syndromic cleft lip and palate: The importance of recognizing phonological and language difficulties.
Int J Lang Commun Disord
January 2025
School of Education, Communication and Language Sciences, Newcastle University, Newcastle upon Tyne, UK.
Background: Children born with cleft palate ± lip (CP ± L) are at risk of speech sound disorder (SSD). Up to 40% continue to have SSD at age 5-6 years. These difficulties are typically described as articulatory in nature and often include cleft speech characteristics (CSC) hypothesized to result from structural differences.
View Article and Find Full Text PDFCohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization.
PLoS One
January 2025
Observational Health Data Analytics, Janssen Research and Development, LLC, Titusville, NJ, United States of America.
Objective: This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics.
Materials And Methods: The method is based on several diagnostic criteria to evaluate a patient cohort returned by a PA. Diagnostics include estimates of incidence rate, index date entry code breakdown, and prevalence of all observed clinical events prior to, on, and after index date.
Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers.
Acad Emerg Med
January 2025
Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, Texas, USA.
Objectives: We applied three electronic triggers to study frequency and contributory factors of missed opportunities for improving diagnosis (MOIDs) in pediatric emergency departments (EDs): return visits within 10 days resulting in admission (Trigger 1), care escalation within 24 h of ED presentation (Trigger 2), and death within 24 h of ED visit (Trigger 3).
Methods: We created an electronic query and reporting template for the triggers and applied them to electronic health record systems of five pediatric EDs for visits from 2019. Clinician reviewers manually screened identified charts and initially categorized them as "unlikely for MOIDs" or "unable to rule out MOIDs" without a detailed chart review.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!