Purpose: The Canadian C-spine (cervical spine) Rule (CCR) and the National Emergency X-Radiography Utilization Low-Risk Criteria (NLC) are criteria designed to guide C-spine radiography in trauma patients. It is unclear how these 2 rules compare with young children.
Methods: This study retrospectively examined case-matched trauma patients 10 years or younger. Two cohorts were identified-cohort A where C-spine imaging was performed and cohort B where no imaging was conducted. The CCR and NLC criteria were then applied retrospectively to each cohort.
Results: Cohort A contained 125 cases and cohort B with 250 cases. Seven patients (3%) had significant C-spine injuries. In cohort A, NLC criteria could be applied in 108 (86.4%) of 125 and CCR in 109 (87.2%) of 125. National Emergency X-Radiography Utilization Low-Risk Criteria suggested that 70 (58.3%) cases required C-spine imaging compared to 93 (76.2%) by CCR. National Emergency X-Radiography Utilization Low-Risk Criteria missed 3 C-spine injuries, and CCR missed one. In cohort B, NLC criteria could be applied in 132 (88%) of 150 and CCR in 131 (87.3%) of 150. The NLC criteria identified 8 cases and CCR identified 13 cases that would need C-spine radiographs. Fisher's 2-sided Exact test demonstrated that CCR and NLC predictions were significantly different (P = .002) in both cohorts. The sensitivity of CCR was 86% and specificity was 94%, and the NLC had a sensitivity of 43% and a specificity of 96%.
Conclusions: Although CCR and NLC criteria may reduce the need for C-spine imaging in children 10 years and younger; they are not sensitive or specific enough to be used as currently designed.
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http://dx.doi.org/10.1016/j.jpedsurg.2009.01.044 | DOI Listing |
Pharmaceuticals (Basel)
December 2024
Department of Biotechnology, BIODIATECH-Proplanta Research Centre for Applied Biotechnology in Diagnosis and Molecular Therapy, 400478 Cluj-Napoca, Romania.
: Pentacyclic triterpenoids are increasingly studied as anticancer agents with many advantages compared to synthetic chemotherapeutics. The aim of this study was to prepare liposomal and nanostructured lipid formulations including a standardized extract of silver birch () outer bark (TTs) and to evaluate their potential as anticancer agents in vitro, using Melanoma B16-F10 and Walker carcinoma cells. : Appropriate solvents were selected for efficient TTs extraction, and original recipes were used to obtain Pegylated liposomes and nanolipid complexes with entrapped TTs, comparative to pure standards (betulinic acid and doxorubicin) in similar conditions.
View Article and Find Full Text PDFBMJ Open Qual
January 2025
Rheumatology and immunology department, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
Objectives: This study sought to assess the effectiveness of nurse-led care (NLC) in patients with rheumatoid arthritis (RA).
Methods: We conducted a comprehensive search of the Cochrane Library, Web of Science, PubMed, Embase, CINAHL, ClinicalTrials.gov databases and the references from relevant literature published prior to May 2023.
Capillary zone electrophoresis (CZE) is gaining attention in the field of single-cell proteomics for its ultra-low-flow and high-resolution separation abilities. Even more sample-limited yet rich in biological information are phosphoproteomics experiments, as the phosphoproteome composes only a fraction of the whole cellular proteome. Rapid analysis, high sensitivity, and maximization of sample utilization are paramount for single-cell analysis.
View Article and Find Full Text PDFEur Radiol
December 2024
Department of Radiology and Nuclear Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily attributed to limited usefulness and trust in current AI tools. Instead of technically driven development, little effort has been put into value-based development to ensure AI tools will have a clinically relevant impact on patient care.
View Article and Find Full Text PDFEur Radiol
November 2024
Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Background: Segmentations are crucial in medical imaging for morphological, volumetric, and radiomics biomarkers. Manual segmentation is accurate but not feasible in clinical workflow, while automatic segmentation generally performs sub-par.
Purpose: To develop a minimally interactive deep learning-based segmentation method for soft-tissue tumors (STTs) on CT and MRI.
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