Total hip arthroplasty (THA) patients undergoing or having a prior lumbar spine fusion (LSF) have an increased risk of mechanical complications. The aim of this registry-based, retrospective comparative cohort study is to assess the longer term survival of THA in patients who have undergone a LSF during a 17-year period (2000 to 2017). A registry-based population study was conducted on 679 patients who underwent both THA and LSF surgeries. Patients were identified from the regional arthroplasty data base and cross linked to patients with LSF from the regional hospital discharge database between 2000 and 2017. Demographic data, diagnosis leading to primary THA, primary implant survival, perioperative complications, number and causes of failure, and patients requiring revision arthroplasty were collated and compared. For comparison, data from 67,919 primary THAs performed during the same time time period were also retrieved and analyzed.Aims
Methods
DVC is a novel full-field and contactless measurement technique for calculating displacements and strains inside bones (Grassi and Isaksson 2015) through the comparison of 3D reconstructions (CT, micro-CT, MRI, etc.) from unloaded and loaded samples. Recent in zero-strain tests to estimate the measurement precision by applying a known state of strain (Palanca, Tozzi et al. 2015) suggested that DVC is suitable to identify regions where bone tissue is yielded (i.e. subjected to high strains). Conversely to reliably measure strain in the physiological range a severe compromise with spatial resolution is necessary (Dall'Ara, Barber et al. 2014, Palanca, Tozzi et al. 2015). In order to use DVC to explore the relationship between the local physiological strain and bone microarchitecture, an error lower than 200 microstrain (an order of magnitude lower than the mean strain) and a spatial resolution of the strain measurement lower than 100 μm is required. The aim of this work is to define if, and to what extend, high-quality images obtained by synchrotron radiation micro computed tomography (SR-μCT) improve the precision of a global DVC approach. Cylindrical specimens of cortical and trabecular bone were extracted from a fresh bovine femur and embedded in acrylic resin. Both samples were scanned twice without any repositioning (‘repeated scantest’) at beamline l13–2 of Diamond Light Source (Oxford, UK). 4000 projections of 53 ms exposure were collected via fly-scanning with a CdWO4scintillator-coupled pco.edge 5.5 detector with 4× magnification and an effective pixel size of 1.6μm. Strains were evaluated using a global DVC approach (ShIRT-FE) in two cubic volumes of interest (VOI) of 1,000 voxels in side length, for each specimen, exploring a DVC spatial resolution from 16 to 498 μm. The precision of measurements was evaluated extracting a similar indicator to (Liu and Morgan 2007). Precision improved with decreasing spatial resolution, confirming a trend similar to that obtained with ‘laboratory source’ μCT on similar specimens (Palanca, Tozzi et al. 2015). To obtain a precision of better than 200 microstrains the cortical and trabecular samples required spatial resolutions of 41 and 80 μm respectively. Comparing these results to those of previous studies, where similar specimens were scanned with ‘laboratory source’ μCT (effective voxel size of the order of ten μm) the errors were vastly reduced (approximately one order of magnitude). In fact, in order to obtain a precision of better than 200 microstrain, spatial resolutions of 550 (cortical) and 480 (trabecular) μm were needed (Dall'Ara, Barber et al. 2014). This work showed that using high-quality tomograms obtained by synchrotron radiation μCT decreases the measurement uncertainties of a global DVC approach with respect to those obtained with laboratory source μCT. DVC could therefore be used with μCT data to evaluate displacement and strain in the physiological range with remarkable spatial resolution.
A retrospective study on 98 patients shows that FE-based bone strength from CT data (using validated FE models) is a suitable candidate to discriminate fractured versus controls within a clinical cohort. Subject-specific Finite element models (FEM) from CT data are a promising tool to non-invasively assess the bone strength and the risk of fracture of bones in vivo in individual patients. The current clinical indicators, based on the epidemiological models like the FRAX tool, give limitation estimation of the risk of femoral neck fracture and they do not account for the mechanical determinants of the fracture. Aim of the present study is to prove the better predictive accuracy of individualised computer models based a CT-FEM protocol, with the accuracy of a widely used standard of care, the FRAX risk indicator.Summary
Introduction
In a retrospective study, FE-based bone strength from CT data showed a greater ability than aBMD to discriminate proximal femur fractures versus controls. Personalised Finite Element (FE) models from Computed Tomography (CT) data are superior to bone mineral density (BMD) in predicting proximal femoral strength Summary Statement
Introduction
We investigated the effect of pre-heating a femoral component on the porosity and strength of bone cement, with or without vacuum mixing used for total hip replacement. Cement mantles were moulded in a manner simulating clinical practice for cemented hip replacement. During polymerisation, the temperature was monitored. Specimens of cement extracted from the mantles underwent bending or fatigue tests, and were examined for porosity. Pre-heating the stem alone significantly increased the mean temperature values measured within the mantle (+14.2°C) (p <
0.001) and reduced the mean curing time (−1.5 min) (p <
0.001). The addition of vacuum mixing modulated the mean rise in the temperature of polymerisation to 11°C and reduced the mean duration of the process by one minute and 50 seconds (p = 0.01 and p <
0.001, respectively). In all cases, the maximum temperature values measured in the mould simulating the femur were <
50°C. The mixing technique and pre-heating the stem slightly increased the static mechanical strength of bone cement. However, the fatigue life of the cement was improved by both vacuum mixing and pre-heating the stem, but was most marked (+ 280°C) when these methods were combined. Pre-heating the stem appears to be an effective way of improving the quality of the cement mantle, which might enhance the long-term performance of bone cement, especially when combined with vacuum mixing.
Bone reconstruction in pediatric oncology always has to face two major problems: the frequent unavailability of small prosthetic tools and the difficulty in finding bone allografts of adequate size. Aim of this work is to present the research lines in this field, currently active in our institution to improve the planning and the results of reconstructive tumor surgery in children. Starting from patient’s CT data sets, subject-specific 3D models of bone segments can be created and compared with the similar models obtained by the CT analysis of massive allografts stored in the Rizzoli Bone Bank. In the same time the computer modelling technologies allow the development of three-dimensional environment, where the surgeon can navigate and exploit both artificial (prostheses, metallic plates and screws) or biological tools (bone allografts or autografts). The presented method has been utilized with success in 10 children (mean age 8, range 4–13) that underwent a skeletal reconstruction of the limbs in the last year (proximal humerus 1, diaphyseal humerus 1, total humerus 1, distal radius 1, proximal femur 3, diaphyseal femur 1, proximal tibia 1, diaphyseal tibia
Most of the approaches to computer aided surgery currently in use share the need for an accurate pre-operative surgical planning to establish the optimal conditions that the surgeon should achieve using such specialised instrumentation. The penetration of these computer-aided planning tools in the clinical practice is still limited. The systems that replicate such 2D planning are user-friendly, but lack the full three-dimensional definition of the implant position. On the contrary, systems based on CT data, which allow a fully 3D planning, usually have cumbersome interfaces. Last but not least all programs currently available are only aimed to visualise the position and orientation of the prosthetic components, presuming that the anatomical referencing is sufficient for the surgeon to decide the correctness of the planning. The Hip-Op research project was aimed to the development of a complete surgical simulation software environment for the pre-operative planning of total hip replacement surgery. The software had to fulfil the following basic requirements: a CT-based three-dimensional planning environment; a user-friendly graphic user interface based on the Multimodal Display approach; the possibility to integrate analysis modules aimed to provide the surgeon with additional functional data; complete independence from the type of hip prosthesis or from the intra-operative instrumentation. The graphical interface of Hip-Op is based on an innovative visualisation paradigm, which is called Multimodal display. Hip-Op represents the anatomical objects by means of multiple views, each of which simulates a different medical imaging modality familiar to the medical professional. Two analysis modules are currently integrated in Hip-Op to provide clinically relevant 3D indicators of the implant fit and fill in the host femur.