X-Linked Hypophosphataemia (XLH) is a rare, progressive, hereditary phosphate-wasting disorder characterised by excessive activity of fibroblast growth factor 23. The International XLH Registry was established to provide information on the natural history of XLH and impact of treatment on patient outcomes. The cross-sectional orthopaedic data presented are from the first interim analysis. The XLH Registry (NCT03193476) was initiated in August 2017, aims to recruit 1,200 children and adults with XLH, and will run for 10 years. At the time of analysis (Last Patient In: 30/11/2020; Database Lock: 29/03/2021) 579 subjects diagnosed with XLH were enrolled from 81 hospital sites in 16 countries (360 (62.2%) children, 217 (37.5%) adults, and 2 subjects of unknown age). Of subjects with retrospective clinical data available, skeletal deficits were the most frequently self-reported clinical problems for children (223/239, 93.3%) and adults (79/110, 71.8%). Retrospective fracture data were available for 183 subjects (72 children, 111 adults); 50 had a fracture (9 children, 41 adults). In children, fractures tended to occur in tibia/fibula and/or wrist; only adults reported large bone fractures. Joint conditions were noted for 46 subjects (6 children, 40 adults). For adults reporting osteoarthritis, knees (60%), hips (42.5%), and shoulders (22.5%) were the most frequently affected joints. Retrospective orthopaedic surgery data were collected for 151 subjects (52 children, 99 adults). Osteotomy was the most frequent surgery reported (n=108); joint replacements were recorded for adults only. This is the largest set of orthopaedic data from XLH subjects collected to date. Longitudinal information collected during the 10-year Registry duration will generate real-world evidence which will help to inform clinical practice. Authors acknowledge the contribution of all International XLH Registry Steering Committee members.
To detect early signs of infection infrared thermography has been suggested to provide quantitative information. Our vision is to invent a pin site infection thermographic surveillance tool for patients at home. A preliminary step to this goal is the aim of this study, to automate the process of locating the pin and detecting the pin sites in thermal images efficiently, exactly, and reliably for extracting pin site temperatures. A total of 1708 pin sites was investigated with Thermography and augmented by 9 different methods in to totally 10.409 images. The dataset was divided into a training set (n=8325), a validation set (n=1040), and a test set (n=1044) of images. The Pin Detection Model (PDM) was developed as follows: A You Only Look Once (YOLOv5) based object detection model with a Complete Detection Intersection over Union (CDIoU), it was pre-trained and finetuned by the through transfer learning. The basic performance of the YOLOv5 with CDIoU model was compared with other conventional models (FCOS and YOLOv4) for deep and transition learning to improve performance and precision. Maximum Temperature Extraction (MTE) Based on Region of Interest (ROI) for all pin sites was generated by the model. Inference of MTE using PDM with infected and un-infected datasets was investigated. An automatic tool that can identify and annotate pin sites on conventional images using bounding boxes was established. The bounding box was transferred to the infrared image. The PMD algorithm was built on YOLOv5 with CDIoU and has a precision of 0.976. The model offers the pin site detection in 1.8 milliseconds. The thermal data from ROI at the pin site was automatically extracted. These results enable automatic pin site annotation on thermography. The model tracks the correlation between temperature and infection from the detected pin sites and demonstrates it is a promising tool for automatic pin site detection and maximum temperature extraction for further infection studies. Our work for automatic pin site annotation on thermography paves the way for future research on infection assessment using thermography.
Quantitative ultrasound (QUS) is a promising tool to estimate bone structure characteristics and predict fragile fracture. The aim of this pilot cross-sectional study was to evaluate the performance of a multi-channel residual network (MResNet) based on ultrasonic radiofrequency (RF) signal to discriminate fragile fractures retrospectively in postmenopausal women. RF signal and speed of sound (SOS) were obtained using an axial transmission QUS at one‐third distal radius for 246 postmenopausal women. Based on the involved RF signal, we conducted a MResNet, which combines multi-channel training with original ResNet, to classify the high risk of fragility fractures patients from all subjects. The bone mineral density (BMD) at lumber, hip and femoral neck acquired with DXA was recorded on the same day. The fracture history of all subjects in adulthood were collected. To assess the ability of the different methods in the discrimination of fragile fracture, the odds ratios (OR) calculated using binomial logistic regression analysis and the area under the receiver operator characteristic curves (AUC) were analyzed. Among the 246 postmenopausal women, 170 belonged to the non-fracture group, 50 to the vertebral group, and 26 to the non-vertebral fracture group. MResNet was discriminant for all fragile fractures (OR = 2.64; AUC = 0.74), for Vertebral fracture (OR = 3.02; AUC = 0.77), for non-vertebral fracture (OR = 2.01; AUC = 0.69). MResNet showed comparable performance to that of BMD of hip and lumbar with all types of fractures, and significantly better performance than SOS all types of fractures.Methods
Results
Ubiquitin E3 ligase-mediated protein degradation regulates osteoblast function. Itch, an E3 ligase, affects numerous cell functions by regulating ubiquitination and proteasomal degradation of related proteins. However, the Itch-related cellular and molecular mechanisms by which osteoblast differentiation and function are elevated during bone fracture repair are as yet unknown. We examined the expression levels of E3 ligases and NF-κB members in callus samples during bone fracture repair by quantitative polymerase chain reaction (qPCR) and the total amount of ubiquitinated proteins by Western blot analysis in wild-type (WT) mice. The expression levels of osteoblast-associated genes in fracture callus from Itch knockout (KO) mice and their WT littermates were examined by qPCR. The effect of NF-κB on Itch expression in C2C12 osteoblast cells was determined by a chromatin immunoprecipitation (ChIP) assay.Objectives
Methods
We compare the difference in expression profiles of miRNAs during fracture healing between adult and aged female mice. This study reveals the possibility to improve impaired fracture healing in aged females by regulating key miRNAs at early stage. Impaired fracture healing in aged female skeleton is still a clinical challenge (Holroyd et al., Summary
Introduction
The mechanism of spinal cord injury varies across the human population and this may be important for the development of effective therapies. Therefore, detailed understanding of how variables such as impact velocity and depth affect cord tissue damage is important. Studies have shown an independent effect of impact velocity and depth on injury severity, thereby suggesting importance of the interaction between the two for spinal cord injury. This work examines both the individual and interactive effects of impact velocity and impact depth on demyelination, tissue sparing, and behavioural outcomes in the rat cervical spinal cord. It also aims to understand the contribution of the energy applied during impact, not only the impact factors. Decoupling the effects of these two impact parameters will help to describe the injury mechanism. Maximum principal strain has also been shown to be useful as a predictor for neural tissue damage in vivo and in finite element (FE) models. A better understanding of this relationship with experimental results may help to elucidate the mechanics of spinal cord injury.Summary Statement
Introduction
We studied the origin of the anterior deltoid from the lateral third of the clavicle and the leading anterior edge of the acromion in 18 cadaver shoulders by anatomical and histological methods. The main origin of the deltoid was from the superior surface of the anterior acromion, but muscle and tendinous attachments were also seen on the entire anterior surface of the acromion, its anteroinferior surface and on the whole width of the anterior surface of the clavicle. Mock arthroscopic acromioplasty was shown to detach deltoid fibres from the anterior surfaces, leaving the superior attachment in continuity. Potentially, arthroscopic subacromial and clavicular resection can detach deltoid fibres originating from the anterior and anteroinferior surfaces of the acromion and clavicle and thus weaken the anterior deltoid.
