Background: In most hospitals, children with acute wrist trauma are routinely referred for radiography.
Objective: To develop and validate a clinical decision rule to decide whether radiography in children with wrist trauma is required.
Materials And Methods: We prospectively developed and validated a clinical decision rule in two study populations. All children who presented in the emergency department of four hospitals with pain following wrist trauma were included and evaluated for 18 clinical variables. The outcome was a wrist fracture diagnosed by plain radiography.
Results: Included in the study were 787 children. The prediction model consisted of six variables: age, swelling of the distal radius, visible deformation, distal radius tender to palpation, anatomical snuffbox tender to palpation, and painful or abnormal supination. The model showed an area under the receiver operator characteristics curve of 0.79 (95% CI: 0.76-0.83). The sensitivity and specificity were 95.9% and 37.3%, respectively. The use of this model would have resulted in a 22% absolute reduction of radiographic examinations. In a validation study, 7/170 fractures (4.1%, 95% CI: 1.7-8.3%) would have been missed using the decision model.
Conclusion: The decision model may be a valuable tool to decide whether radiography in children after wrist trauma is required.
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http://dx.doi.org/10.1007/s00247-015-3436-3 | DOI Listing |
Phys Med Biol
January 2025
Department of Trauma and Reconstructive Surgery, BG Hospital Bergmanntrost, Merseburger Straße 165 06112 Halle, Halle, Sachsen-Anhalt, 06112, GERMANY.
The purpose of this study was to develop a robust deep learning approach trained with a small in-vivo MRI dataset for multi-label segmentation of all eight carpal bones for therapy planning and wrist dynamic analysis. Approach: A small dataset of 15 3.0-T MRI scans from five health subjects was employed within this study.
View Article and Find Full Text PDFArch Osteoporos
January 2025
Department of Orthopaedics and Traumatology, Queen Mary Hospital The University of Hong Kong, 102 Pok Fu Lam Road, Hong Kong, China.
Unlabelled: Grip strength measurement, as a surrogate of sarcopenia diagnosis, effectively predicts secondary fracture risk in distal radius fracture patients. This simple tool enhances clinical practice by identifying high-risk patients for targeted interventions, potentially preventing or reversing functional decline and recurrent fractures.
Purpose: To evaluate grip strength and hand muscle cross-sectional area as predictors of secondary fracture risk in patients with a history of distal radius fracture (DRF), serving as surrogates of the diagnosis of sarcopenia.
Eur J Trauma Emerg Surg
January 2025
Trauma Research Unit, Department of Surgery, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands.
Purpose: Distal radius fractures (DRFs) are often initially assessed by junior doctors under time constraints, with limited supervision, risking significant consequences if missed. Convolutional Neural Networks (CNNs) can aid in diagnosing fractures. This study aims to internally and externally validate an open source algorithm for the detection and localization of DRFs.
View Article and Find Full Text PDFBackground: Perilunate/lunate injuries are frequently misdiagnosed. We hypothesize that utilization of a machine learning algorithm can improve human detection of perilunate/lunate dislocations.
Methods: Participants from emergency medicine, hand surgery, and radiology were asked to evaluate 30 lateral wrist radiographs for the presence of a perilunate/lunate dislocation with and without the use of a machine learning algorithm, which was used to label the lunate.
J Pediatr Orthop
January 2025
Division of Orthopaedic Surgery, Rady Children's Hospital-San Diego, San Diego, CA.
Background: Distal radius physeal injuries can result in growth arrest and progressive deformity in children. Ulnar epiphysiodesis may be used to prevent deformity in the skeletally immature child; however, predicting success may be challenging. The purpose of this study was to (1) develop a method to predict successful ulnar epiphysiodesis, and (2) determine the utility of adding a sliding bone autograft as an adjunct to achieving successful epiphysiodesis.
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