Background: Ultrasound has been utilized in various settings for evaluation and treatment of skeletal injuries. Bone has different tissue acoustic impedance than soft tissue allowing visualization of the cortical disruption found in fractures.
Objective: To determine emergency physicians' accuracy in diagnosing cranial and long bone fractures using ultrasound.
Methods: This multi-center prospective double-blinded study used high-frequency linear ultrasound to detect induced fractures among eight test locations from eight cadaver models. After a standard orientation, blinded emergency physicians interpreted real-time sonographic images of test locations.
Results: Proximal tibia combined sensitivity (SE)/specificity (SP) was 87.3/69.8% with a combined positive predictive value (PPV)/negative predictive value (NPV) of 84.6/74.3%. Distal radius combined SE/SP was 93.7/93.5% with a combined PPV/NPV of 93.4/90.8%. Frontal combined SE/SP was 84.1/88.9% with a PPV/NPV of 84.9/88.3%. Temporal-parietal combined SE/SP was 95.2/87.9% with a PPV/NPV of 94.8/88.2%. Time to decision varied from less than 10 seconds to 357 seconds. Mean time to decision was 43 to 63 seconds depending on fracture site.
Conclusion: Ultrasound by trained emergency medicine physicians can reliably identify fractures in the radius, tibia, frontal, and temporal bones in a very short amount of time, allowing for triage, treatment, and resource management.
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http://dx.doi.org/10.7205/milmed-d-11-00407 | DOI Listing |
J Gynecol Oncol
September 2024
Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.
Int J Mol Sci
June 2024
Department of Population Medicine and Lifestyle Diseases Prevention, The Faculty of Medicine, Medical University of Białystok, 15-269 Białystok, Poland.
Ovarian cancer (OC) has an unfavorable prognosis. Due to the lack of effective screening tests, new diagnostic methods are being sought to detect OC earlier. The aim of this study was to evaluate the concentration and diagnostic utility of selected matrix metalloproteinases (MMPs) as OC markers in comparison with HE4, CA125 and the ROMA algorithm.
View Article and Find Full Text PDFClin Epidemiol
June 2024
Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Purpose: This research aimed to develop and validate a META-algorithm combining individual immune-mediated inflammatory disease (IMID)-specific algorithms to identify the exact IMID indications for incident biological drug users from claims data within the context of the Italian VALORE project.
Methods And Patients: All subjects with at least one dispensing of TNF-alpha inhibitors, anti-interleukin agents, and selective immunosuppressants approved for IMIDs were identified from claims databases of Latium region in Italy (observation period: 2010-2020). Validated coding algorithms for identifying individual IMIDs from claims databases were found from published literature and combined into a META-algorithm.
Entropy (Basel)
December 2023
BioMIT.org, Electronic Engineering Department, Universitat Politecnica de Valencia, 46022 Valencia, Spain.
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia often treated concomitantly with other cardiac interventions through the Cox-Maze procedure. This highly invasive intervention is still linked to a long-term recurrence rate of approximately 35% in permanent AF patients. The aim of this study is to preoperatively predict long-term AF recurrence post-surgery through the analysis of atrial activity (AA) organization from non-invasive electrocardiographic (ECG) recordings.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2023
Depressive Disorder (DD) is a leading cause of disability worldwide. Passive tools for screening the symptoms of DD are essential in monitoring and limiting the spread of the disease. From an alternative perspective, individuals' kinetic expression and activities, including smartphone interaction, reflect their mental status.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!