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
Prompt recognition and identification of the causative microorganism in acute septic arthritis of native and prosthetic joints is vital to increase the chances of successful treatment. The aim of this study was to independently assess the diagnostic accuracy of the multiplex BIOFIRE® Joint Infection (JI) Panel (investigational use only) in synovial fluid for rapid diagnosis Synovial fluid samples were prospectively collected at the University Medical Center Groningen from patients who had a clinical suspicion of a native septic arthritis, early acute (post-operative, within 3 months after arthroplasty) periprosthetic joint infection (PJI) or late acute (hematogenous) PJI. JI Panel results were compared to culture-based methods as reference standard.Aim
Method
Artificial intelligence (AI) is, in essence, the concept of ‘computer thinking’, encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the ‘why’), the current applications (the ‘what’), and the approach to unlocking its full potential (the ‘how’). Cite this article:
The number of convolutional neural networks (CNN) available for fracture detection and classification is rapidly increasing. External validation of a CNN on a temporally separate (separated by time) or geographically separate (separated by location) dataset is crucial to assess generalizability of the CNN before application to clinical practice in other institutions. We aimed to answer the following questions: are current CNNs for fracture recognition externally valid?; which methods are applied for external validation (EV)?; and, what are reported performances of the EV sets compared to the internal validation (IV) sets of these CNNs? The PubMed and Embase databases were systematically searched from January 2010 to October 2020 according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The type of EV, characteristics of the external dataset, and diagnostic performance characteristics on the IV and EV datasets were collected and compared. Quality assessment was conducted using a seven-item checklist based on a modified Methodologic Index for NOn-Randomized Studies instrument (MINORS).Aims
Methods
Diagnosing a prosthetic joint infection (PJI) can be difficult. Several imaging modalities are available, but the choice which technique to use is often based on local expertise, availability and costs. Some centers prefer to use 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) as first imaging modality of choice, but due to a lack of accurate interpretation criteria, FDG-PET is currently not routinely applied for diagnosing PJI. With FDG-PET it is difficult to differentiate between FDG uptake due to reactive inflammation and uptake due to an infection. Since the physiological uptake pattern around a joint prosthesis is not fully elucidated, the aim of this study was to determine: i) the FDG uptake pattern in non-infected total hip prostheses and, ii) to evaluate whether there is a difference in uptake between cemented and non-cemented prostheses. Patients with a primary total hip arthroplasty (1995–2016) without clinical signs of an infection that underwent a FDG-PET for another indication (mainly suspicion of malignancy) were included and retrospectively analysed. Patients in whom the prosthesis was implanted < 6 months prior to FDG-PET were excluded, to avoid post-surgical effects. Scans were visually and quantitatively analysed. Quantitative analysis was performed by calculating maximum and peak standardized uptake values (SUVmax and SUVpeak) by volume of interests (VOIs) at eight different locations around the prosthesis, from which the mean SUV was calculated. SUV was standardized by the liver SUV that was taken as background.Aim
Method
Recently, several synovial biomarkers have been introduced into
the algorithm for the diagnosis of a prosthetic joint infection
(PJI). Alpha defensin is a promising biomarker, with a high sensitivity
and specificity, but it is expensive. Calprotectin is a protein
that is present in the cytoplasm of neutrophils, is released upon
neutrophil activation and exhibits anti-microbial activity. Our
aim, in this study, was to determine the diagnostic potential of
synovial calprotectin in the diagnosis of a PJI. In this pilot study, we prospectively collected synovial fluid
from the hip, knee, shoulder and elbow of 19 patients with a proven
PJI and from a control group of 42 patients who underwent revision
surgery without a PJI. PJI was diagnosed according to the current diagnostic criteria
of the Musculoskeletal Infection Society. Synovial fluid was centrifuged
and the supernatant was used to measure the level of calprotectin
after applying a lateral flow immunoassay. Aims
Patients and Methods
Vascularised fibular grafts (VFGs ) are a valuable
surgical technique in limb salvage after resection of a tumour.
The primary objective of this multicentre study was to assess the
risk factors for failure and complications for using a VFG after
resection of a tumour. The study involved 74 consecutive patients (45 men and 29 women
with mean age of 23 years (1 to 64) from four tertiary centres for
orthopaedic oncology who underwent reconstruction using a VFG after
resection of a tumour between 1996 and 2011. There were 52 primary
and 22 secondary reconstructions. The mean follow-up was 77 months
(10 to 195). In all, 69 patients (93%) had successful limb salvage; all of
these united and 65 (88%) showed hypertrophy of the graft. The mean
time to union differed between those involving the upper (28 weeks;
12 to 96) and lower limbs (44 weeks; 12 to 250). Fracture occurred
in 11 (15%), and nonunion in 14 (19%) patients. In 35 patients (47%) at least one complication arose, with a
greater proportion in lower limb reconstructions, non-bridging osteosynthesis,
and in children. These complications resulted in revision surgery
in 26 patients (35%). VFG is a successful and durable technique for reconstruction
of a defect in bone after resection of a tumour, but is accompanied
by a significant risk of complications, that often require revision
surgery. Union was not markedly influenced by the need for chemo-
or radiotherapy, but should not be expected during chemotherapy.
Therefore, restricted weight-bearing within this period is advocated. Cite this article:
Atypical cartilaginous tumours are usually treated
by curettage. The purpose of this study was to show that radiofrequency
ablation was an effective alternative treatment. We enrolled 20 patients (two male, 18 female, mean age 56 years
(36 to 72) in a proof-of-principle study. After inclusion, biopsy
and radiofrequency ablation were performed, followed three months
later by curettage and adjuvant phenolisation. The primary endpoint
was the proportional necrosis in the retrieved material. Secondary endpoints
were correlation with the findings on gadolinium enhanced MRI, functional
outcome and complications. Our results show that 95% to 100% necrosis was obtained in 14
of the 20 patients. MRI had a 91% sensitivity and 67% specificity
for detecting residual tumour after curettage. The mean functional
outcome (MSTS) score six weeks after radiofrequency ablation was
27.1 (23 to 30) compared with 18.1 (12 to 25) after curettage (p
<
0.001). No complications occurred after ablation, while two
patients developed a pathological fracture after curettage. We have shown that radiofrequency ablation is capable of completely
eradicating cartilaginous tumour cells in selective cases. MRI has
a 91% sensitivity for detecting any residual tumour. Radiofrequency
ablation can be performed on an outpatient basis allowing a rapid
return to normal activities. If it can be made more effective, it
has the potential to provide better local control, while improving
functional outcome. Cite this article:
In this case study, we describe the clinical
presentation and treatment of 36 patients with periosteal chondrosarcoma
collected over a 59-year period by the archive of the Netherlands
Committee on Bone Tumours. The demographics, clinical presentation,
radiological features, treatment and follow-up are presented with
the size, location, the histological grading of the tumour and the
survival. We found a slight predominance of men (61%), and a predilection
for the distal femur (33%) and proximal humerus (33%). The metaphysis
was the most common site (47%) and the most common presentation
was with pain (44%). Half the tumours were classified histologically
as grade 1. Pulmonary metastases were reported in one patient after
an intra-lesional resection. A second patient died from local recurrence
and possible pulmonary and skin metastases after an incomplete resection. It is clearly important to make the diagnosis appropriately because
an incomplete resection may result in local recurrence and metastatic
spread. Staging for metastatic disease is recommended in grade II
or III lesions. These patients should be managed with a contrast-enhanced MRI
of the tumour and histological confirmation by biopsy, followed
by Cite this article:
There has been an increase in the incidence of bone and joint tuberculosis (BJTB) in The Netherlands and we have carried out an epidemiological study in order to find an explanation for this increase. Data from 1993 to 2000 from The Netherlands Tuberculosis Register (NTR) were used. In 1993 there was a total of 52 patients with BJTB. This figure increased gradually to 80 in 1999 before decreasing to 61 in 2000. There was a total of 12 447 patients with tuberculosis; BJTB was found in 532, accounting for 4.3% of all cases and 10.6% of all extrapulmonary cases. Localisation in the spine occurred in 56%. Certain immigrants, in particular from Somalia, were more likely to have BJTB than other immigrants or the native Dutch population. Increased age and female gender were associated with BJTB. Only 15% of BJTB patients also suffered from pulmonary tuberculosis. The usual long delay in the diagnosis of BJTB may be shortened if physicians are more aware of tuberculosis.
