Although image quality is a well-recognized component in the successful delivery of medical imaging services, it has arguably declined over the past decade owing to several technical, economic, cultural, and geographic factors. To improve quality, the radiologist community must take a more proactive role in image quality analysis and optimization; these require analysis of not just the single step of image acquisition but the entire imaging chain. Radiologists can benefit through improved report accuracy, diagnostic confidence, and workflow efficiency. The derived data-driven analyses offer an objective means for provider performance analysis, which can help combat commoditization trends and self-referral by nonradiologist providers.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jacr.2014.04.008 | DOI Listing |
West J Nurs Res
January 2025
General Medical Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: Systemic lupus erythematosus (SLE) is characterized by a range of symptoms that often cluster together, impacting the quality of life (QoL) of affected individuals.
Objective: To delineate the composition of symptom clusters in patients with SLE and analyze their correlation with QoL, thus providing a basis for symptom management.
Methods: Using convenience sampling, 201 patients were recruited.
Ultrasound Obstet Gynecol
January 2025
Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.
Objective: Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging in gynecology, efforts to synthesize the available evidence have been inadequate. The aim of this systematic review was to summarize and evaluate the literature on the role of AI applied to ultrasound imaging in benign gynecological disorders.
Methods: Web of Science, PubMed and Scopus databases were searched from inception until August 2024.
Med Biol Eng Comput
January 2025
Faculty of Computing, Harbin Institute of Technology, Harbin, 150001, China.
The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and plaques. Discrete-action-based centerline extraction methods suffer from artifacts and plaques. This study aimed to develop a continuous-action-based method which performs more effectively in cases involving artifacts or plaques.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Wuhan, 430030, China.
Purpose: The advent of total-body PET/CT presents an opportunity for significant advancements in imaging of neuroblastoma with [F]meta-fluorobenzylguanidine ([F]mFBG). Small voxel imaging has proven to have better lesion detectability but need enough radioactivity counts. This study aims to balance shortened acquisition times and small voxel reconstruction to keep sufficient image quality and diagnostic confidence on [F]mFBG total-body PET for neuroblastoma.
View Article and Find Full Text PDFEur Radiol
January 2025
Trauma Research Unit, Department of Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Introduction: Injury coding with the Abbreviated Injury Scale (AIS) is an important element for benchmarking, trauma registries and research.
Objective: To compare the severity of traumatic brain injury (TBI) coding derived from the AIS with or without the use of a standardised radiologic template.
Methods: A retrospective two-centre cohort study including patients aged ≥ 18 years with isolated TBI admitted to an intensive care between 2011 and 2016 was conducted.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!