Introduction. The
Introduction. The
Introduction. The human
INTRODUCTION. Tuberculosis (TB) is a public health challenge. However, musculoskeletal involvement represents 10–15% of all extrapulmonary cases. Upper extremity involvement is extremely rare. The slow progressive course of clinical symptoms and lack of radiological signs lead to difficulties in establishing early diagnosis. Hence, the patients who have tuberculosis of the
Introduction. The
Aim. There are no definitive criteria for the definition of osteomyelitis in the hand and
SARS-CoV-2 emerged in Wuhan, China in December 2019 causing pneumonia and resulting in a pandemic, commonly known as COVID-19. This pandemic led to significant changes to our daily lives due to restrictions, such as social distancing, quarantining, stay at home orders and closure of restaurants and shops among other things. The psychological effects of this uncertainty as well as of these changes to our lives have been shown to be significant. This study is a prospective study investigating the mental effects of the pandemic on hand and
Aim: To assess the functional and radiological outcome of AO
Treating 10 consecutive patients requiring
Abstract. Objectives. Falling studies have been conducted in controlled environments but not in field studies for ethical reasons; this limits the validity and applicability of previous studies. We performed field studies on existing YouTube © videos of skateboarders falling. The aims were to measure the
The aim of the study was to compare the radiological findings of
Purpose: To review a clinical series of patients who have had the SLAC (scapho-lunate advanced collapse) procedure. Method: 50 patients with degenerative disorders of the
Pain and disability following
Introduction. With advances in artificial intelligence, the use of computer-aided detection and diagnosis in clinical imaging is gaining traction. Typically, very large datasets are required to train machine-learning models, potentially limiting use of this technology when only small datasets are available. This study investigated whether pretraining of fracture detection models on large, existing datasets could improve the performance of the model when locating and classifying wrist fractures in a small X-ray image dataset. This concept is termed “transfer learning”. Method. Firstly, three detection models, namely, the faster region-based convolutional neural network (faster R-CNN), you only look once version eight (YOLOv8), and RetinaNet, were pretrained using the large, freely available dataset, common objects in context (COCO) (330000 images). Secondly, these models were pretrained using an open-source
The aims of this study in relation to distal radius fractures were to determine (1) the floor and ceiling effects for the QuickDASH and PRWE, (2) the floor and ceiling effects when defined to be within the minimal clinically important difference (MCID) of the minimal or maximal scores, (3) the degree to which patients with a floor or ceiling effect felt that their
Purpose: In skeletally immature children with acceptably angulated (<
= 15 degrees angular deformity at presentation) distal radius and/or ulnar fractures, to determine if a pre-fabricated
Physical examination is critical to formation of a differential diagnosis in patients with ulnar-sided
The