Background: Posterior-anterior chest x-ray (PA-CXR) is among the most commonly used imaging methods in the diagnosis both in the emergency departments (ED) and the other clinics. The aim of the present study was to evaluate the diagnostic reliability of PA-CXRs sent via a smartphone.
Methods: This study was conducted as an inter-observer study. PA-CXRs were photographed with a smartphone and they were sent to two separate participants (emergency medicine specialists one with 4 years experience and another with 3) via the WhatsApp application. And the participants evaluated to these images on their mobile phone.
Results: A poor concordance was determined in a ratio of 3/8 and good concordance was detected in a ratio of 3/8 between the two participants (p < 0.05). It was observed that only the mediastinum assessments could be an alternative to the gold standard (p < 0.01).
Conclusion: We may conclude that the assessments done via a smartphone (photographing and sharing) may not be reliable.
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http://dx.doi.org/10.1016/j.ajem.2020.10.069 | DOI Listing |
Arch Orthop Trauma Surg
December 2024
Sitaram Bhartia Institute of Science and Research, New Delhi, India.
Purpose: Achieving precise postoperative alignment is critical for the long-term success of total knee arthroplasty (TKA). Long-leg standing radiograph (LLR) at 6 weeks post-op is the gold standard for assessing alignment, but its reliance on weight-bearing and positioning makes it less practical in the early postoperative period. Supine computed tomography scanogram (CTS) offers a potential alternative.
View Article and Find Full Text PDFBr J Radiol
December 2024
Rheumatology Unit, Department of Internal Medicine, Faculty of Medicine, Universiti Teknologi MARA, 47000, Sungai Buloh, Malaysia.
Objectives: This study explores the correlation between volunteer demographics with enthesis stiffness and intra and inter -observer agreements using shear wave elastography (SWE).
Methods: 98 healthy volunteers were recruited. SWE was performed on quadriceps, suprapatellar, infrapatellar, and Achilles entheses.
PLoS One
December 2024
Digital Environment Research Institute (DERI), Queen Mary University of London, London, United Kingdom.
Deep learning techniques are increasingly being used to classify medical imaging data with high accuracy. Despite this, due to often limited training data, these models can lack sufficient generalizability to predict unseen test data, produced in different domains, with comparable performance. This study focuses on thyroid histopathology image classification and investigates whether a Generative Adversarial Network [GAN], trained with just 156 patient samples, can produce high quality synthetic images to sufficiently augment training data and improve overall model generalizability.
View Article and Find Full Text PDFUltrasound Med Biol
December 2024
Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden.
Objectives: The enormous burden that cardiovascular diseases put on individuals and societies warrants reliable biomarkers of disease risk to optimize disease prevention. We studied longitudinal movement (LMov) in arterial walls using ultrasound of the common carotid artery (CCA). We believe that LMov could be a sensitive biomarker of cardiovascular health and in this study, we evaluate the intra-observer repeatability and inter-observer precision of our method.
View Article and Find Full Text PDFFront Oncol
December 2024
Radiotherapy Department, Montpellier Regional Cancer Institute, Montpellier, France.
Introduction: Following a preliminary work validating the technological feasibility of an adaptive workflow with Ethos for whole-breast cancer, this study aims to clinically evaluate the automatic segmentation generated by Ethos.
Material And Methods: Twenty patients initially treated on a TrueBeam accelerator for different breast cancer indications (right/left, lumpectomy/mastectomy) were replanned using the Ethos emulator. The adaptive workflow was performed using 5 randomly selected extended CBCTs per patient.
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