Study Design: Reliability and validation study.
Objective: The objective of this study is to evaluate a new lower cervical spine injury classification system and assess its reliability, teachability, and clinical applications.
Summary Of Background Data: The recently proposed Cervical Spine Injury Severity Score (CSISS) morphologically describes lower cervical spine injuries and grades them on a score of 1 to 20 depending on the integrity of the 4 columns that make up the cervical spine. Early data suggests that this classification system is both reliable and reproducible. Reliability data from additional institutions and data exploring teachability of this classification system is not available.
Methods: Fifteen subjects (12 residents and 3 attendings trained in the management of spinal trauma) reviewed radiographs and CT scans of 50 patients and scored them according to the CSISS. Six residents scored the patients 1 month before an instructional lecture given by the senior author and then again immediately following the lecture to assess teachability of the new classification system. All subjects then reviewed the films a final time 1 month later to assess both intraobserver and interobserver reliability. The patients' scores were also analyzed in conjunction with their clinical treatment.
Results: Interobserver reliability overall was excellent (0.975) with junior residents performing similarly to those with more extensive training. Intraobserver reliability was also excellent overall (0.983). Teachability scores improved in the ability to score all 4 columns. Furthermore, this classification system was a fair overall predictor of surgical candidates as a score of 7 predicted 19 out of 26 surgical patients (76% sensitivity, 100% specificity).
Conclusion: The CSISS is a useful new adjunct in the treatment and classification of lower cervical spine injuries. The system is reliable, reproducible, and teachable. It is clinically useful for all levels of orthopedic training and experience.
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http://dx.doi.org/10.1097/BRS.0b013e3181af053c | DOI Listing |
Anal Methods
January 2025
Department of Food Science and Postharvest Technology, School of Applied Sciences and Technology, Cape Coast Technical University, Cape Coast, Ghana.
This research examined the distinction between organic and conventional mango fruits, chips, and juice using portable near-infrared (NIR) spectroscopy. A comprehensive analysis was conducted on a sample of 100 mangoes (comprising 50 organic and 50 conventional) utilising a portable NIR spectrometer that spans a wavelength range from 900 to 1700 nm. The mangoes were assessed in their entirety and their juice and chip forms.
View Article and Find Full Text PDFStroke
January 2025
Department of Neurology, University of Pennsylvania, PA. (L.I., S.E.Z., S.E.K., B.L.C.).
Background: A modified computed tomography angiography (CTA)-based Carotid Plaque Reporting and Data System (Plaque-RADS) classification was applied to a cohort of patients with embolic stroke of undetermined source to test whether high-risk Plaque-RADS subtypes are more prevalent on the ipsilateral side of stroke. With the widespread use of CTA for stroke evaluation, a CTA-based Plaque-RADS would be valuable for generalizability.
Methods: A retrospective observational cross-sectional study was conducted at a single integrated health system comprised of 3 hospitals with a comprehensive stroke center between October 1, 2015, and April 1, 2017.
The aim of the study was to compare the outcomes of bone transport in treating upper- middle vs. lower- middle tibial bone defects. Sixty-two patients with tibial infected large segmental defects treated by bone transport were analyzed retrospectively and divided into distal group (lower- middle tibial bone defects and proximal transport, n=38) and proximal group (upper- middle tibial bone defects and distal transport, n=24).
View Article and Find Full Text PDFThere is a lack in understanding the reasons for different lengths of sick leave in patients who sustain ankle fractures. The aim of this study is to examine variations in the length of sick leave in ankle fracture patients and how treatment, type of ankle fracture and the patient-reported outcome are associated with the length of sick leave. In this study were data from the Swedish Social Insurance Agency (SSIA) and the Swedish Fracture Register (SFR), combined.
View Article and Find Full Text PDFInt J Neural Syst
January 2025
Alibaba Cloud, Hangzhou, P. R. China.
Multi-label zero-shot learning (ML-ZSL) strives to recognize all objects in an image, regardless of whether they are present in the training data. Recent methods incorporate an attention mechanism to locate labels in the image and generate class-specific semantic information. However, the attention mechanism built on visual features treats label embeddings equally in the prediction score, leading to severe semantic ambiguity.
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