Aims. Monocyte-lymphocyte ratio (MLR) or neutrophil-lymphocyte ratio (NLR) are useful for diagnosing periprosthetic joint infection (PJI), but their diagnostic values are unclear for screening fixation-related infection (FRI) in patients for whom conversion total hip arthroplasty (THA) is planned after failed internal fixation for femoral neck fracture. Methods. We retrospectively included 340 patients who underwent conversion THA after internal fixation for femoral neck fracture from January 2008 to September 2020. Those patients constituted two groups: noninfected patients and patients diagnosed with FRI according to the 2013 International Consensus Meeting Criteria. Receiver operating characteristic (ROC) curves were used to determine maximum sensitivity and specificity of these two preoperative ratios. The
The purpose of this study was to develop a convolutional neural network (CNN) for fracture detection, classification, and identification of greater tuberosity displacement ≥ 1 cm, neck-shaft angle (NSA) ≤ 100°, shaft translation, and articular fracture involvement, on plain radiographs. The CNN was trained and tested on radiographs sourced from 11 hospitals in Australia and externally validated on radiographs from the Netherlands. Each radiograph was paired with corresponding CT scans to serve as the reference standard based on dual independent evaluation by trained researchers and attending orthopaedic surgeons. Presence of a fracture, classification (non- to minimally displaced; two-part, multipart, and glenohumeral dislocation), and four characteristics were determined on 2D and 3D CT scans and subsequently allocated to each series of radiographs. Fracture characteristics included greater tuberosity displacement ≥ 1 cm, NSA ≤ 100°, shaft translation (0% to < 75%, 75% to 95%, > 95%), and the extent of articular involvement (0% to < 15%, 15% to 35%, or > 35%).Aims
Methods
A prospective study was performed to develop
a clinical prediction rule that incorporated demographic and clinical factors
predictive of a fracture of the scaphoid. Of 260 consecutive patients
with a clinically suspected or radiologically confirmed scaphoid
fracture, 223 returned for evaluation two weeks after injury and
formed the basis of our analysis. Patients were evaluated within
72 hours of injury and at approximately two and six weeks after injury
using clinical assessment and standard radiographs. Demographic
data and the results of seven specific tests in the clinical examination
were recorded. There were 116 (52%) men and their mean age was 33 years (13
to 95; Our study has demonstrated that clinical prediction rules have
a considerable influence on the probability of a suspected scaphoid
fracture. This will help improve the use of supplementary investigations
where the diagnosis remains in doubt.