Objective: The purpose of this case study is to describe the diagnostic imaging studies of a patient who had a traumatic spondylolisthesis at L5-S1 secondary to unilateral facet fractures.
Clinical Features: A 21-year-old man experienced a rollover motor vehicle crash that led to low back pain and progressive left-sided radiculopathy. Later, he sought treatment from a doctor of chiropractic because he continued to have low back pain with progressive pain down his left leg. A magnetic resonance imaging study demonstrated a left paracentral disc protrusion at L5-S1. Follow-up computed tomography demonstrated multiple transverse process fractures and left-sided L5-S1 facet fractures with spondylolisthesis that progressed over time.
Intervention And Outcome: The patient was referred for a neurosurgical consultation 10 months after the injury. At 12 months after the injury, he underwent transforaminal lumbar interbody fusion with a posterior approach. The patient's pain and radicular symptoms resolved after the surgery.
Conclusion: This patient exhibited posterior element fractures, had continued symptom progression, and was monitored for the development of a spondylolisthesis. Because of progression and exacerbation of symptoms, neurosurgical consultation for surgical stabilization was mandated.
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http://dx.doi.org/10.1016/j.jcm.2018.12.002 | DOI Listing |
J Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
J Med Internet Res
January 2025
Centre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macau, China.
This study provides preliminary evidence for real-time functional magnetic resonance imaging neurofeedback (rt-fMRI NF) as a potential intervention approach for internet gaming disorder (IGD). In a preregistered, randomized, single-blind trial, young individuals with elevated IGD risk were trained to downregulate gaming addiction-related brain activity. We show that, after 2 sessions of neurofeedback training, participants successfully downregulated their brain responses to gaming cues, suggesting the therapeutic potential of rt-fMRI NF for IGD (Trial Registration: ClinicalTrials.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Department of Radiology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India.
Purpose: To explore the perceived utility and effect of simplified radiology reports on oncology patients' knowledge and feasibility of large language models (LLMs) to generate such reports.
Materials And Methods: This study was approved by the Institute Ethics Committee. In phase I, five state-of-the-art LLMs (Generative Pre-Trained Transformer-4o [GPT-4o], Google Gemini, Claude Opus, Llama-3.
Neurol Neuroimmunol Neuroinflamm
March 2025
Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin.
Background And Objectives: Cognitive deficits represent a major long-term complication of anti-leucine-rich, glioma-inactivated 1 encephalitis (LGI1-E). Although severely affecting patient outcomes, the structural brain changes underlying these deficits remain poorly understood. In this study, we hypothesized a link between white matter (WM) networks and cognitive outcomes in LGI1-E.
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