Diffusion-weighted imaging has been used extensively in clinical practice for the early diagnosis of central nervous system conditions that restrict the diffusion of water molecules because it provides information about tumor cellularity or abscesses containing viscous fluid. DTI can detect brain lesions before any conventional imaging. Even though the role of these modalities is well defined for many neurologic lesions that affect the brain, its clinical application in spinal cord diseases is increasing. This article discusses the several central nervous system conditions that may be diagnosed with diffusion imaging.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.mric.2010.10.006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Sarcolemma resilience and skeletal muscle health require O-mannosylation of dystroglycan.
Skelet Muscle
January 2025
Department of Molecular Physiology and Biophysics, and Department of Neurology, Howard Hughes Medical Institute, Senator Paul D. Wellstone Muscular Dystrophy Specialized Research Center, Roy J. and Lucille A. Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA.
Background: Maintaining the connection between skeletal muscle fibers and the surrounding basement membrane is essential for muscle function. Dystroglycan (DG) serves as a basement membrane extracellular matrix (ECM) receptor in many cells, and is also expressed in the outward-facing membrane, or sarcolemma, of skeletal muscle fibers. DG is a transmembrane protein comprised of two subunits: alpha-DG (α-DG), which resides in the peripheral membrane, and beta-DG (β-DG), which spans the membrane to intracellular regions.
View Article and Find Full Text PDFFavourable Outcome of Relapsed PCNSL Among Transplant Eligble Patients.
Eur J Haematol
January 2025
Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland.
Purpose: The prognosis of relapsed primary central nervous system lymphoma remains a concern. This study aimed to compare the effects of various patient- and disease-related factors on the prognosis of relapsed primary central nervous system lymphoma (PCNSL).
Methods: We retrospectively collected real-world data from eight Finnish hospitals on 198 patients diagnosed with PCNSL between 2003 and 2020.
The collective experience of moral distress: a qualitative analysis of perspectives of frontline health workers during COVID-19.
Philos Ethics Humanit Med
January 2025
Department of Allergy, Immunology and Respiratory Medicine, Central Clinical School, The Alfred Hospital, Monash University, Melbourne, Australia.
Background: Moral distress is reported to be a critical force contributing to intensifying rates of anxiety, depression and burnout experienced by healthcare workers. In this paper, we examine the moral dilemmas and ensuing distress personally and collectively experienced by healthcare workers while caring for patients during the pandemic.
Methods: Data are drawn from free-text responses from a cross-sectional national online survey of Australian healthcare workers about the patient care challenges they faced.
Differences in anxiety, depression and pain experience among adults with chronic low back pain as a function of nicotine product use.
J Behav Med
January 2025
Prescription Drug Misuse Education and Research (PREMIER) Center, University of Houston, Houston, USA.
The landscape of nicotine use in the United States (US) has continued to evolve, with electronic cigarette use (hereafter e-cigarette) becoming more evident in recent years. Patterns of dual nicotine use, or using combustible nicotine in conjunction with e-cigarettes, may increase dependence on nicotine, continued exposure to toxins, and corresponding health risks. One of the most prevalent health problems related to nicotine use is the experience of chronic pain.
View Article and Find Full Text PDFExploratory multivariate analysis using R Language for method development in liquid chromatography.
Anal Bioanal Chem
January 2025
Department of Medical Biochemistry, Faculty of Medicine in Hradec Králové, Charles University, Šimkova 870, 500 03, Hradec Králové, Czech Republic.
The visual evaluation of data derived from screening and optimization experiments in the development of new analytical methods poses a considerable time investment and introduces the risk of subjectivity. This study presents a novel approach to processing such data, based on factor analysis of mixed data and hierarchical clustering - multivariate techniques implemented in the R programming language. The methodology is demonstrated in the early-stage screening and optimization of the chromatographic separation of 15 structurally diverse drugs that affect the central nervous system, using a custom R Language script.
View Article and Find Full Text PDFWant 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!