Aims. The modern prevalence of primary tumours causing metastatic bone disease is ill-defined in the oncological literature. Therefore, the purpose of this study is to identify the prevalence of primary tumours in the setting of metastatic bone disease, as well as reported rates of pathological fracture, postoperative complications, 90-day mortality, and 360-day mortality for each primary tumour subtype. Methods. The Premier Healthcare Database was queried to identify all patients who were diagnosed with metastatic bone disease from January 2015 to December 2020. The prevalence of all primary tumour subtypes was tabulated. Rates of long bone pathological fracture, 90-day mortality, and 360-day mortality following surgical treatment of pathological fracture were assessed for each primary tumour subtype. Patient characteristics and postoperative outcomes were analyzed based upon whether patients had impending fractures treated prophylactically versus treated completed fractures. Results. In total, 407,893 unique patients with metastatic bone disease were identified. Of the 14 primary tumours assessed, metastatic bone disease most frequently originated from lung (24.8%), prostatic (19.4%), breast (19.3%), gastrointestinal (9.4%), and urological (6.5%) malignancies. The top five malignant tumours resulting in long bone pathological fracture were renal (5.8%), myeloma (3.4%), female reproductive (3.2%), lung (2.8%), and breast (2.7%). Following treatment of pathological fractures of long bones, 90-day mortality rates were greatest for lung (12.1%), central nervous system (10.5%), lymphoma (10.4%), gastrointestinal (10.1%), and non-renal urinary (10.0%) malignancies. Finally, our study demonstrates improved 90-day and 360-day survival in patients treated for impending pathological fracture compared to completed fracture, as well as significantly lower rates of deep vein thrombosis, pulmonary embolism, urinary tract infection, and blood transfusion. Conclusion. This study defines the contemporary characteristics of primary malignancies resulting in metastatic bone disease. These data should be considered by surgeons when prognosticating patient outcomes during treatment of their metastatic bone disease. Cite this article: Bone Jt Open 2023;4(6):424–431

Aims. Bone metastasis ultimately occurs due to a complex multistep process, during which the interactions between cancer cells and bone microenvironment play important roles. Prior to colonization of the bone, cancer cells must succeed through a series of steps that will allow them to gain migratory and invasive properties; epithelial-to-mesenchymal transition (EMT) is known to be integral here. The aim of this study was to determine the effects of G protein subunit alpha Q (GNAQ) on the mechanisms underlying bone metastasis through EMT pathway. Methods. A total of 80 tissue samples from patients who were surgically treated during January 2012 to December 2014 were used in the present study. Comparative gene analysis revealed that the GNAQ was more frequently altered in metastatic bone lesions than in primary tumour sites in lung cancer patients. We investigated the effects of GNAQ on cell proliferation, migration, EMT, and stem cell transformation using lung cancer cells with GNAQ-knockdown. A xenograft mouse model tested the effect of GNAQ using micro-CT analyses and histological analyses. Results. GNAQ-knockdown showed down-regulation of tumour growth through mitogen-activated protein kinase (MAPK) signalling in lung cancer cells, but not increased apoptosis. We found that GNAQ-knockdown induced EMT and promoted invasiveness. GNAQ-knockdown cells injected into the bone marrow of murine tibia induced tumour growth and bone-to-lung metastasis, whereas it did not in control mice. Moreover, the knockdown of GNAQ enhanced cancer stem cell-like properties in lung cancer cells, which resulted in the development of resistance to chemotherapy. Conclusion. The present study reveals that the GNAQ-knockdown induced cancer stem cell-like properties. Cite this article: Bone Joint Res 2021;10(5):310–320

Aims. The incidence of bone metastases is between 20% to 75% depending on the type of cancer. As treatment improves, the number of patients who need surgical intervention is increasing. Identifying patients with a shorter life expectancy would allow surgical intervention with more durable reconstructions to be targeted to those most likely to benefit. While previous scoring systems have focused on surgical and oncological factors, there is a need to consider comorbidities and the physiological state of the patient, as these will also affect outcome. The primary aim of this study was to create a scoring system to estimate survival time in patients with bony metastases and to determine which factors may adversely affect this. Methods. This was a retrospective study which included all patients who had presented for surgery with metastatic bone disease. The data collected included patient, surgical, and oncological variables. Univariable and multivariable analysis identified which factors were associated with a survival time of less than six months and less than one year. A model to predict survival based on these factors was developed using Cox regression. Results. A total of 164 patients were included with a median survival time of 1.6 years (interquartile range 0.5 to 3.1) after surgery. On multivariable analysis, a higher American Society of Anesthesiologists grade (p < 0.001), a high white cell count (p = 0.002), hyponatraemia (p = 0.001), a preoperative resting heart rate of > 100 bpm (p = 0.052), and the type of primary cancer (p = 0.026) remained significant predictors of reduced survival time. The predictive model developed showed good discrimination and calibration to predict both six- and 12-month survival in patients with metastatic bone disease. Conclusion. In addition to surgical and oncological factors, the level of comorbidity and physiological state of the patient has a significant impact on survival in patients with metastatic bone disease. These factors should be considered when assessing the appropriateness of surgical intervention. This is the first study to examine other patient factors alongside surgical and oncological data to identify a relationship between these and survival. Cite this article: Bone Joint J 2021;103-B(11):1725–1730

Objectives. In this prospective cohort study, we investigated whether patient-specific finite element (FE) models can identify patients at risk of a pathological femoral fracture resulting from metastatic bone disease, and compared these FE predictions with clinical assessments by experienced clinicians. Methods. A total of 39 patients with non-fractured femoral metastatic lesions who were irradiated for pain were included from three radiotherapy institutes. During follow-up, nine pathological fractures occurred in seven patients. Quantitative CT-based FE models were generated for all patients. Femoral failure load was calculated and compared between the fractured and non-fractured femurs. Due to inter-scanner differences, patients were analyzed separately for the three institutes. In addition, the FE-based predictions were compared with fracture risk assessments by experienced clinicians. Results. In institute 1, median failure load was significantly lower for patients who sustained a fracture than for patients with no fractures. In institutes 2 and 3, the number of patients with a fracture was too low to make a clear distinction. Fracture locations were well predicted by the FE model when compared with post-fracture radiographs. The FE model was more accurate in identifying patients with a high fracture risk compared with experienced clinicians, with a sensitivity of 89% versus 0% to 33% for clinical assessments. Specificity was 79% for the FE models versus 84% to 95% for clinical assessments. Conclusion. FE models can be a valuable tool to improve clinical fracture risk predictions in metastatic bone disease. Future work in a larger patient population should confirm the higher predictive power of FE models compared with current clinical guidelines. Cite this article: F. Eggermont, L. C. Derikx, N. Verdonschot, I. C. M. van der Geest, M. A. A. de Jong, A. Snyers, Y. M. van der Linden, E. Tanck. Can patient-specific finite element models better predict fractures in metastatic bone disease than experienced clinicians? Towards computational modelling in daily clinical practice. Bone Joint Res 2018;7:430–439. DOI: 10.1302/2046-3758.76.BJR-2017-0325.R2

Advances in cancer therapy have prolonged cancer patient survival even in the presence of disseminated disease and an increasing number of cancer patients are living with metastatic bone disease (MBD). The proximal femur is the most common long bone involved in MBD and pathologic fractures of the femur are associated with significant morbidity, mortality and loss of quality of life (QoL). Successful prophylactic surgery for an impending fracture of the proximal femur has been shown in multiple cohort studies to result in patients more likely to walk after surgery, longer survival, lower transfusion rates and shorter post-operative hospital stays. However, there is currently no optimal method to predict a pathologic fracture. The most well-known tool is Mirel's criteria, established in 1989 and is limited from guiding clinical practice due to poor specificity and sensitivity. The goal of our study is to train a convolutional neural network (CNN) to predict fracture risk when metastatic bone disease is present in the proximal femur. Our fracture risk prediction tool was developed by analysis of prospectively collected data for MBD patients (2009–2016) in order to determine which features are most commonly associated with fracture. Patients with primary bone tumors, pathologic fractures at initial presentation, and hematologic malignancies were excluded. A total of 1146 patients comprising 224 pathologic fractures were included. Every patient had at least one Anterior-Posterior X-ray. The clinical data includes patient demographics, tumor biology, all previous radiation and chemotherapy received, multiple pain and function scores, medications and time to fracture or time to death. Each of Mirel's criteria has been further subdivided and recorded for each lesion. We have trained a convolutional neural network (CNN) with X-ray images of 1146 patients with metastatic bone disease of the proximal femur. The digital X-ray data is converted into a matrix representing the color information at each pixel. Our CNN contains five convolutional layers, a fully connected layers of 512 units and a final output layer. As the information passes through successive levels of the network, higher level features are abstracted from the data. This model converges on two fully connected deep neural network layers that output the fracture risk. This prediction is compared to the true outcome, and any errors are back-propagated through the network to accordingly adjust the weights between connections. Methods to improve learning included using stochastic gradient descent with a learning rate of 0.01 and a momentum rate of 0.9. We used average classification accuracy and the average F1 score across test sets to measure model performance. We compute F1 = 2 x (precision x recall)/(precision + recall). F1 is a measure of a test's accuracy in binary classification, in our case, whether a lesion would result in pathologic fracture or not. Five-fold cross validation testing of our fully trained model revealed accurate classification for 88.2% of patients with metastatic bone disease of the proximal femur. The F1 statistic is 0.87. This represents a 24% error reduction from using Mirel's criteria alone to classify the risk of fracture in this cohort. This is the first reported application of convolutional neural networks, a machine learning algorithm, to an important Orthopaedic problem. Our neural network model was able to achieve impressive accuracy in classifying fracture risk of metastatic proximal femur lesions from analysis of X-rays and clinical information. Our future work will aim to validate this algorithm on an external cohort

Aims. Surgery is often indicated in patients with metastatic bone disease (MBD) to improve pain and maximize function. Few studies are available which report on clinically meaningful outcomes such as quality of life, function, and pain relief after surgery for MBD. This is the published protocol for the Bone Metastasis Audit — Patient Reported Outcomes (BoMA-PRO) multicentre MBD study. The primary objective is to ascertain patient-reported quality of life at three to 24 months post-surgery for MBD. Methods. This will be a prospective, longitudinal study across six UK orthopaedic centres powered to identify the influence of ten patient variables on quality of life at three months after surgery for MBD. Adult patients managed for bone metastases will be screened by their treating consultant and posted out participant materials. If they opt in to participate, they will receive questionnaire packs at regular intervals from three to 24 months post-surgery and their electronic records will be screened until death or five years from recruitment. The primary outcome is quality of life as measured by the European Organisation for Research and the Treatment of Cancer Quality of Life questionnaire (EORTC-QLQ) C30 questionnaire. The protocol has been approved by the Newcastle & North Tyneside 2 Research Ethics Committee (REC ref 19/NE/0303) and the study is funded by the Royal College of Physicians and Surgeons of Glasgow (RCPSG) and the Association for Cancer Surgery (BASO-ACS). Discussion. This will be the first powered study internationally to investigate patient-reported outcomes after orthopaedic treatment for bone metastases. We will assess quality of life, function, and pain relief at three to 24 months post-surgery and identify which patient variables are significantly associated with a good outcome after MBD treatment. Cite this article: Bone Jt Open 2021;2(2):79–85

Advances in cancer therapy have prolonged patient survival even in the presence of disseminated disease and an increasing number of cancer patients are living with metastatic bone disease (MBD). The proximal femur is the most common long bone involved in MBD and pathologic fractures of the femur are associated with significant morbidity, mortality and loss of quality of life (QoL). Successful prophylactic surgery for an impending fracture of the proximal femur has been shown in multiple cohort studies to result in longer survival, preserved mobility, lower transfusion rates and shorter post-operative hospital stays. However, there is currently no optimal method to predict a pathologic fracture. The most well-known tool is Mirel's criteria, established in 1989 and is limited from guiding clinical practice due to poor specificity and sensitivity. The ideal clinical decision support tool will be of the highest sensitivity and specificity, non-invasive, generalizable to all patients, and not a burden on hospital resources or the patient's time. Our research uses novel machine learning techniques to develop a model to fill this considerable gap in the treatment pathway of MBD of the femur. The goal of our study is to train a convolutional neural network (CNN) to predict fracture risk when metastatic bone disease is present in the proximal femur. Our fracture risk prediction tool was developed by analysis of prospectively collected data of consecutive MBD patients presenting from 2009–2016. Patients with primary bone tumors, pathologic fractures at initial presentation, and hematologic malignancies were excluded. A total of 546 patients comprising 114 pathologic fractures were included. Every patient had at least one Anterior-Posterior X-ray and clinical data including patient demographics, Mirel's criteria, tumor biology, all previous radiation and chemotherapy received, multiple pain and function scores, medications and time to fracture or time to death. We have trained a convolutional neural network (CNN) with AP X-ray images of 546 patients with metastatic bone disease of the proximal femur. The digital X-ray data is converted into a matrix representing the color information at each pixel. Our CNN contains five convolutional layers, a fully connected layers of 512 units and a final output layer. As the information passes through successive levels of the network, higher level features are abstracted from the data. The model converges on two fully connected deep neural network layers that output the risk of fracture. This prediction is compared to the true outcome, and any errors are back-propagated through the network to accordingly adjust the weights between connections, until overall prediction accuracy is optimized. Methods to improve learning included using stochastic gradient descent with a learning rate of 0.01 and a momentum rate of 0.9. We used average classification accuracy and the average F1 score across five test sets to measure model performance. We compute F1 = 2 x (precision x recall)/(precision + recall). F1 is a measure of a model's accuracy in binary classification, in our case, whether a lesion would result in pathologic fracture or not. Our model achieved 88.2% accuracy in predicting fracture risk across five-fold cross validation testing. The F1 statistic is 0.87. This is the first reported application of convolutional neural networks, a machine learning algorithm, to this important Orthopaedic problem. Our neural network model was able to achieve reasonable accuracy in classifying fracture risk of metastatic proximal femur lesions from analysis of X-rays and clinical information. Our future work will aim to externally validate this algorithm on an international cohort

Surgical management for acute or impending pathologic fractures in metastatic bone disease (MBD) places patients at high-risk for post-operative venous thromboembolism (VTE). Due to the combination of malignancy, systemic cancer treatment, and surgical treatment, VTE-risk is increased 7-fold in patients with MBD compared to non-cancer patients undergoing the same procedure. The extent and duration of post-operative hypercoagulability in patients with MBD remains unknown and thromboprophylaxis guidelines were developed for non-cancer patients, limiting their applicability to address the elevated VTE-risk in cancer patients. Thrombelastography (TEG) analysis is a point-of-care test that measures clot formation, stabilization, and lysis in whole blood samples. The TEG parameter, maximal amplitude (MA), indicates clot strength and the threshold of ≥65 mm has been used to define hypercoagulability and predict VTE events in non-cancer patients requiring orthopaedic surgery. Therefore, this study aims to quantify the extent and duration of post-operative hypercoagulability in patients with MBD using serial TEG analysis. Consecutive adults (≥18 years) with MBD who required orthopaedic surgery for acute or impending pathologic fractures were enrolled into this single-centre, prospective cohort study. Serial TEG analysis was performed onsite using a TEG®6s haemostasis analyzer (Haemonetics Corporation, Boston, MA) on whole blood samples collected at seven timepoints: pre-operatively; on post-operative day (POD) 1, 3, and 5; and at 2-, 6-, and 12-weeks post-operatively. Hypercoagulability was defined as MA ≥65 mm. Participants received standardized thromboprophylaxis for four weeks and patient-reported compliance with thromboprophylaxis was recorded. VTE was defined as symptomatic DVT or PE, or asymptomatic proximal DVT, and all participants underwent a screening post-operative lower extremity Doppler ultrasound on POD3. Descriptive statistics were performed and difference between pre-operative MA values of participants with VTE versus no VTE was evaluated using Student's t-test (p≤0.05). Twenty-one participants (10 female; 47.6%) with a mean age of 70 ± 12 years were enrolled. Nine different primary cancers were identified amongst participants, with breast (23.8%), colorectal (19.0%), and lung cancer (14.3%) most frequently reported. Most participants (57.1%) were hypercoagulable pre-operatively, and nearly half remained hypercoagulable at 6- and 12-weeks post-operatively (47.1 and 46.7%, respectively). VTE occurred in 5 patients (23.8%) and mean MA was 68.1 ± 4.6 mm at the time of diagnosis. Mean pre-operative MA values were significantly higher (p=0.02) in patients who experienced VTE (68.9 ± 3.5 mm) compared to those who did not (62.7 ± 6.5 mm). VTE incidence was highest in the first week post-operatively, during which time four VTE events (80%) occurred. The proportion of patients in a hypercoagulable state increased at three consecutive timepoints, beginning on POD3 (85.0%), increasing on POD5 (87.5%), and peaking at 2-weeks post-operatively (88.9%). Current thromboprophylaxis guidelines do not consider cancer-associated risk factors that contribute to increased VTE incidence and prescription duration may be inadequate to address prolonged post-operative hypercoagulability in patients with MBD. The high rate of VTE events observed and sustained hypercoagulable state indicate that thromboprophylaxis may be prematurely terminated while patients remain at high risk for VTE. Therefore, extending thromboprophylaxis duration beyond 4-weeks post-operatively in patients with MBD warrants further investigation

Due to advances in the assessment and treatment of patients with metastatic bone disease, the survival has improved in recent years. It was the aim of this met-analysis to assess the outcome of patients with metastatic bone disease across Europe. Five major bone tumour treatment centres participated in the met-analyses. Data had been collected prospectively and was retrieved from the databases for the purpose of this study. All patients were referred to the bone tumour centre for assessment and possible surgical treatment. The data of almost 2500 patients were analysed. The average age at diagnosis was 60 years and the male to female ratio was 1:1.07. The overall 5-year survival was 35%, but this was significantly better in metastatic disease of the thyroid and breast as well as multiple myeloma. The number and site of metastases or the presence of a pathological fracture were not prognostic factors in terms of survival. Patients who were female or younger than 50 years of age at time of diagnosis had a better outcome. This registry will be expanded and more information analysed to try and provide useful information about prognostic factors and outcome for patients with meta-static bone disease

Aims. Advances in treatment have extended the life expectancy of patients with metastatic bone disease (MBD). Patients could experience more skeletal-related events (SREs) as a result of this progress. Those who have already experienced a SRE could encounter another local management for a subsequent SRE, which is not part of the treatment for the initial SRE. However, there is a noted gap in research on the rate and characteristics of subsequent SREs requiring further localized treatment, obligating clinicians to extrapolate from experiences with initial SREs when confronting subsequent ones. This study aimed to investigate the proportion of MBD patients developing subsequent SREs requiring local treatment, examine if there are prognostic differences at the initial treatment between those with single versus subsequent SREs, and determine if clinical, oncological, and prognostic features differ between initial and subsequent SRE treatments. Methods. This retrospective study included 3,814 adult patients who received local treatment – surgery and/or radiotherapy – for bone metastasis between 1 January 2010 and 31 December 2019. All included patients had at least one SRE requiring local treatment. A subsequent SRE was defined as a second SRE requiring local treatment. Clinical, oncological, and prognostic features were compared between single SREs and subsequent SREs using Mann-Whitney U test, Fisher’s exact test, and Kaplan–Meier curve. Results. Of the 3,814 patients with SREs, 3,159 (83%) patients had a single SRE and 655 (17%) patients developed a subsequent SRE. Patients who developed subsequent SREs generally had characteristics that favoured longer survival, such as higher BMI, higher albumin levels, fewer comorbidities, or lower neutrophil count. Once the patient got to the point of subsequent SRE, their clinical and oncological characteristics and one-year survival (28%) were not as good as those with only a single SRE (35%; p < 0.001), indicating that clinicians’ experiences when treating the initial SRE are not similar when treating a subsequent SRE. Conclusion. This study found that 17% of patients required treatments for a second, subsequent SRE, and the current clinical guideline did not provide a specific approach to this clinical condition. We observed that referencing the initial treatment, patients in the subsequent SRE group had longer six-week, 90-day, and one-year median survival than patients in the single SRE group. Once patients develop a subsequent SRE, they have a worse one-year survival rate than those who receive treatment for a single SRE. Future research should identify prognostic factors and assess the applicability of existing survival prediction models for better management of subsequent SREs. Cite this article: Bone Joint Res 2024;13(9):497–506

The presence of metastatic bone disease (MBD) often necessitates major orthopaedic surgery. Patients will enter surgical care either through emergent or electively scheduled care pathways. Patients in a pain crisis or with an acute fracture are generally admitted via emergent care pathways whereas patients with identified high-risk bone lesions are often booked for urgent yet scheduled elective procedures. The purpose of this study is to compare the post-operative outcomes of patients who present through emergent or electively scheduled care pathways in patients in a Canadian health care system. We have conducted a retrospective, multicenter cohort study of all patients presenting for surgery for MBD of the femur, humerus, tibia or pelvis in southern Alberta between 2006 and 2021. Patients were identified by a search query of all patients with a diagnosis of metastatic cancer who underwent surgery for an impending or actual pathologic fracture in the Calgary, South and Central Alberta Zones. Subsequent chart reviews were performed. Emergent surgeries were defined by patients admitted to hospital via urgent care mechanisms and managed via unscheduled surgical bookings (“on call list”). Elective surgeries were defined by patients seen by an orthopaedic surgeon at least once prior to surgery, and booked for a scheduled urgent, yet elective procedure. Outcomes include overall survival from the time of surgery, hospital length of stay, and 30-day hospital readmission rate. We have identified 402 patients to date for inclusion. 273 patients (67.9%) underwent surgery through emergent pathways and 129 patients (32.1%) were treated through urgent, electively scheduled pathways. Lung, prostate, renal cell, and breast cancer were the most common primary malignancies and there was no significant difference in these primaries amongst the groups (p=0.06). Not surprisingly, emergent patients were more likely to be treated for a pathologic fracture (p<0.001) whereas elective patients were more likely to be treated for an impending fracture (p<0.001). Overall survival was significantly shorter in the emergent group (5.0 months, 95%CI: 4.0-6.1) compared to the elective group (14.9 months 95%CI: 10.4-24.6) [p<0.001]. Hospital length of stay was significantly longer in the emergent group (13 days, 95%CI: 12-16 versus 5 days, 95%CI: 5-7 days). There was a significantly greater rate of 30-day hospital readmission in the emergent group (13.3% versus 7.8%) [p=0.01]. Electively managed MBD has multiple benefits including longer post-operative survival, shorter length of hospital stay, and a lower rate of 30-day hospital readmission. These findings from a Canadian healthcare system demonstrate clinical value in providing elective orthopaedic care when possible for patients with MBD. Furthermore, care delivery interventions capable of decreasing the footprint of emergent surgery through enhanced screening or follow-up of patients with MBD has the potential to significantly improve clinical outcomes in this population. This is an ongoing study that will justify refinements to the current surgical care pathways for MBD in order to identify patients prior to emergent presentation. Future directions will evaluate the costs associated with each care delivery method to provide opportunity for health economic efficiencies

Cite this article: Bone Joint J 2024;106-B(1):6–8.

Aims. Accurate estimations of the risk of fracture due to metastatic bone disease in the femur is essential in order to avoid both under-treatment and over-treatment of patients with an impending pathological fracture. The purpose of the current retrospective in vivo study was to use CT-based finite element analyses (CTFEA) to identify a clear quantitative differentiating factor between patients who are at imminent risk of fracturing their femur and those who are not, and to identify the exact location of maximal weakness where the fracture is most likely to occur. Methods. Data were collected on 82 patients with femoral metastatic bone disease, 41 of whom did not undergo prophylactic fixation. A total of 15 had a pathological fracture within six months following the CT scan, and 26 were fracture-free during the five months following the scan. The Mirels score and strain fold ratio (SFR) based on CTFEA was computed for all patients. A SFR value of 1.48 was used as the threshold for a pathological fracture. The sensitivity, specificity, positive, and negative predicted values for Mirels score and SFR predictions were computed for nine patients who fractured and 24 who did not, as well as a comparison of areas under the receiver operating characteristic curves (AUC of the ROC curves). Results. The sensitivity of SFR was 100% compared with 88% for the Mirels score, and the specificity of SFR was 67% compared with 38% for the Mirels score. The AUC was 0.905 for SFR compared with 0.578 for the Mirels score (p = 0.008). Conclusion. All the patients who sustained a pathological fracture of the femur had an SFR of > 1.48. CTFEA was far better at predicting the risk of fracture and its location accurately compared with the Mirels score. CTFEA is quick and automated and can be incorporated into the protocol of CT scanners. Cite this article: Bone Joint J 2020;102-B(5):638–645

Metastatic bone disease resulting in acetabular destruction can provide the orthopaedic surgeon with the difficult challenge of achieving a stable reconstruction of the hip to provide pain relief and restoration of mobility. We review of twenty patients with metastatic disease requiring major acetabular reconstruction presenting to our orthopaedic oncology unit over a five year period was undertaken. This yielded 15 female and 5 male patients with mean age 59 years. The primary lesion was breast (8 cases), renal (3) prostate (2), myeloma (2) and others (5) with a solitary acetabular metastasis in 75% of cases. Eight patients had received radiotherapy to the region pre-operatively. In all cases, diseased bone was macroscopically cleared from the pelvis and reconstruction performed by means of a Harrington procedure with threaded pins passed antegrade from the iliac crest 915 cases) or mesh and screws (5 cases), all reinforced with cement around which a total hip arthroplasty was performed. Mean follow-up was 16 months. Complications were broken pin (1 case), dislocation of femoral prosthesis (1) and deep venous thrombosis (1). Three patients died of their disease at a mean of 12 months from surgery. The remaining 17 patients continue to function at a satisfactory level with no patients having required revision surgery for loosening or deep infection. We believe that surgical reconstruction of the acetabulum is worthwhile and can provide these deserving patients with improvement in quality of life

The aim of the study is to review the results of prophylactic reconstruction of subtrochanteric metastatic bone disease of femur using a Long Gamma Nail. Metastasis in the subtrochanteric region of femur can be challenging to treat not only due to peculiarities in biomechanics and anatomy, but also due to weak and deficient bone stock due to metastasis. Between 1996 and 2002, 28 subtrochanteric metastatic lesions of femur in 25 patients (3 bilateral) were treated with Long Gamma Nail. The outcome measures used in this study were pain relief, postoperative mobilization, and medical and implant related complications rate. There were 16 female and 9 male patients with an average age of 64 years. All patients reported marked pain relief. All but one regained pre-operative mobilization status. There were no intra-operative deaths including 3 bilateral nailings. Significant surgical and implant related complications were seen in 3(12%) patients. Postoperative medical complications were seen in 3 (12%) patients. There were no implant failures and reoperations. At the time of study 14 patients died with an average survival of 9 months and 11 patients were alive with an average survival of 16.5 months. Long Gamma Nail is valuable reconstruction device for the prophylactic treatment of subtrochanteric metastatic bone disease of femur. It is strong, versatile and biomechanically superior to extramedullary devises and compares favourably with other intramedullary devices. In our experience Long Gamma Nail allows immediate unrestricted mobilization with marked pain relief

Introduction. The rising incidence of metastatic bone disease (MBD) in the UK poses a significant management problem. Poorly defined levels of service provision have meant that improvements in patient prognosis have been mediocre at best. For that reason the British Orthopaedic Association (BOA) in conjunction with the British Orthopaedic Oncology Society (BOOS) issued guidelines in 2002 on good practice in the management of MBD. Despite the availability of these standards, there is very little robust data available for audit. The aim of this study was to conduct a regional survey of how these guidelines are being used in the management of MBD. Methods. A questionnaire was designed with 9 multiple choice questions representing the most common MBD scenarios. This was posted to 106 Consultant Orthopaedic Surgeons in 12 NHS Trusts in the South East of England. Results. The overall response rate to the questionnaire was 44%. There was considerable variation in the management of solitary femoral diaphyseal lesions, pathological subtrochanteric and intertrochanteric femoral neck fractures and vertebral metastases. Furthermore only 2 out of the 12 Trusts surveyed had a designated MBD lead as per the BOA/BOOS guidelines. Discussion. Our study reflects the variation in the management of MBD throughout the region, which may in turn be linked to poorer clinical outcomes. The results demonstrate the possibility of (i) inappropriate initial treatment, (ii) subsequent late tertiary referral and (iii) poor understanding of the biomechanical basis of orthopaedic implants, with the potential for inappropriate choice of prostheses and high failure rates. Streamlining cancer care will involve establishing regional MBD units within large centres where multidisciplinary services are available. Consequently all surrounding hospitals will need a designated MBD lead that can function as a conduit to this integrated care for selected patients

The burden of metastatic bone disease (MBD) in our Canadian cancer population continues to increase. MBD has a significant effect on patient morbidity, mortality, and health-related quality of life (HRQOL). There are various technical options used to surgically stabilize MBD lesions, surgical decision-making is variable and largely dependent on anatomic and surgeon-based factors. There is a paucity of research examining how surgical decision-making for MBD can be modified or individualized to improve quality of life (QOL) and functional outcomes, while more accurately aligning with patient-reported goals and expectations. The objective of this study was tosurvey MBD patients, support persons, physicians, and allied health care providers (HCP) with the goal of identifying 1) important contributors to HRQOL, 2) discordance in peri-operative expectations, and 3) perceived measures of success in the surgical management of MBD. This project is a longitudinal patient-engaged research initiative in MBD. A survey was developed based on HRQOL themes in the literature and based on feedback from our patient research partners. Participants were asked to identify 1) important contributors to HRQOL and 2) perceived measures of success relevant to the surgical management of MBD. Participants were asked to rank themes from ‘extremely important’ to ‘not important at all’. Using open-ended questions, participants were asked to identify areas of improvement. Responses from the open-ended questions were analyzed by an experienced qualitative researcher using conventional content analysis. Participant's demographics were calculated using descriptive statistics. Concordance or discordance of perceived measure of success was assessed via a Chi-Square test of independence. All statistical analyses were performed using IBM SPSS® software. Nine patients, seven support persons, 23 orthopaedic surgeons, 11 medical oncologists, 16 radiation oncologists, 16 nurses, and eight physiotherapists completed the survey. Regarding perceived measures of success, increased life expectancy (p Two main themes emerged around the timeliness of surgical care and the coordination of multidisciplinary care from patients and support persons. Patients and support persons expressed a sense of urgency in progressing to surgery/treatment, and frustration at perceived delays in treatment. Within coordination of care, patients and support persons would like clearer communication from the health care team. There is discordance between patient/support person goals compared to physicians/HCP goals in the surgical management of MBD. Surgical decision-making and operative techniques that minimize disease progression and improve survival are important to MBD patients. Timely access to surgery/surgical consultation and improved multidisciplinary communication is important to patients. This data suggests improved peri-operative communication and education is needed for MBD patients. Furthermore, future research evaluating how modern orthopaedic surgical techniques influence survival and disease progression in MBD is highly relevant and important to patients with MBD

Introduction: Sending intramedullary reamings for histology in patients with metastaic bone disease (MBD) is routinely done in many centres. However, whether the results of these reamings help in the diagnosis of MBD remains unclear. Recent studies have shown that on the basis of biopsy of the metastases alone, only 35% of the primary tumours are detected. British Orthopaedic Oncology Society guidelines recommend further investigations and a bone biopsy if the primary disease is unknown. Aim:The aim of this study was to correlate clinical, radiological and histological findings for patients with metastatic bone disease and assess the diagnostic accuracy of the reamings in MBD. Method: Demographic details, clinical evaluation, radiological findings and the histology results of the bone biopsy or reamings were reviewed retrospectively for all patients admitted in the year 2003 with suspected MBD. Results:Records and x-rays were identified of 50 patients admitted in 2003 with suspected primary or MBD of a long bone and pain or pathological fracture. . 56% were male. Average age was 69.2years (range 10–98years). 6 patients had primary bone tumour and were referred to the tumour specialist. Of the remaining patients with suspected MBD all required fixation and in all cases intramedullary reamings were sent for histology. 18 patients had a known primary tumour of which 8 (44%) had no evidence of malignancy on histology. 22 patients had an unknown primary tumour of which 19 (86%) had no evidence of malignancy on histology. Conclusion: Reamings, are a poor method of diagnosis, even in cases where the primary is known the histology is still less than 50 % accurate in confirming malignancy. Therefore, in patients with MBD the diagnostic accuracy of reamings should be re-evaluated due to the high false negative results

Introduction: The rising incidence of metastatic bone disease (MBD) in the UK poses a significant management problem. Poorly defined levels of service provision have meant that improvements in patient prognosis have been mediocre at best. For that reason the British Orthopaedic Association (BOA) in conjunction with the British Orthopaedic Oncology Society (BOOS) issued guidelines in 2002 on good practice in the management of MBD. Despite the availability of these standards, there is very little robust data available for audit. The aim of this study was to conduct a regional survey of how these guidelines are being used in the management of MBD. Methods: A questionnaire was designed with 9 multiple choice questions representing the most common MBD scenarios. This was posted to 106 Consultant Orthopaedic Surgeons in 12 NHS Trusts in the South East of England. Results: The overall response rate to the questionnaire was 44%. There was considerable variation in the management of solitary femoral diaphyseal lesions, pathological subtrochanteric and intertrochanteric femoral neck fractures and vertebral metastases. Furthermore only 2 out of the 12 Trusts surveyed had a designated MBD lead as per the BOA/BOOS guidelines. Discussion: Our study reflects the variation in the management of MBD throughout the region, which may in turn be linked to poorer clinical outcomes. The results demonstrate the possibility of. inappropriate initial treatment,. subsequent late tertiary referral and. poor understanding of the biomechanical basis of orthopaedic implants, with the potential for inappropriate choice of prostheses and high failure rates. Streamlining cancer care will involve establishing regional MBD units within large centres where multidisciplinary services are available. Consequently all surrounding hospitals will need a designated MBD lead that can function as a conduit to this integrated care for selected patients