A comprehensive exploration of artificial intelligence in orthopaedics within lower-middle-income countries: a narrative review.

Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs) promises landmark improvement in patient care. Delving into specific use cases-fracture detection, spine imaging, bone tumour classification, and joint surgery optimisation-the review illuminates the areas where AI can significantly enhance orthopaedic practices. AI could play a pivotal role in improving diagnoses, enabling early detection, and ultimately enhancing patient outcomes- crucial in regions with constrained healthcare services. Challenges to the integration of AI include financial constraints, shortage of skilled professionals, data limitations, and cultural and ethical considerations. Emphasising AI's collaborative role, it can act as a complementary tool working in tandem with physicians, aiming to address gaps in healthcare access and education. We need continued research and a conscientious approach, envisioning AI as a catalyst for equitable, efficient, and accessible orthopaedic healthcare for patients in LMICs.

Chondrosarcoma evaluation using hematein-based x-ray staining and high-resolution 3D micro-CT: a feasibility study.

BACKGROUND: Chondrosarcomas are rare malignant bone tumors diagnosed by analyzing radiological images and histology of tissue biopsies and evaluating features such as matrix calcification, cortical destruction, trabecular penetration, and tumor cell entrapment. METHODS: We retrospectively analyzed 16 cartilaginous tumor tissue samples from three patients (51-, 54-, and 70-year-old) diagnosed with a dedifferentiated chondrosarcoma at the femur, a moderately differentiated chondrosarcoma in the pelvis, and a predominantly moderately differentiated chondrosarcoma at the scapula, respectively. We combined a hematein-based x-ray staining with high-resolution three-dimensional (3D) microscopic x-ray computed tomography (micro-CT) for nondestructive 3D tumor assessment and tumor margin evaluation. RESULTS: We detected trabecular entrapment on 3D micro-CT images and followed bone destruction throughout the volume. In addition to staining cell nuclei, hematein-based staining also improved the visualization of the tumor matrix, allowing for the distinction between the tumor and the bone marrow cavity. The hematein-based staining did not interfere with further conventional histology. There was a 5.97 ± 7.17% difference between the relative tumor area measured using micro-CT and histopathology (p = 0.806) (Pearson correlation coefficient r = 0.92, p = 0.009). Signal intensity in the tumor matrix (4.85 ± 2.94) was significantly higher in the stained samples compared to the unstained counterparts (1.92 ± 0.11, p = 0.002). CONCLUSIONS: Using nondestructive 3D micro-CT, the simultaneous visualization of radiological and histopathological features is feasible. RELEVANCE STATEMENT: 3D micro-CT data supports modern radiological and histopathological investigations of human bone tumor specimens. It has the potential for being an integrative part of clinical preoperative diagnostics. KEY POINTS: • Matrix calcifications are a relevant diagnostic feature of bone tumors. • Micro-CT detects all clinically diagnostic relevant features of x-ray-stained chondrosarcoma. • Micro-CT has the potential to be an integrative part of clinical diagnostics.

HAS THE AGING OF BRAZILIANS IMPACTED THE OCCURRENCE OF OSTEO-CARTILAGINOUS NEOPLASMS?

Cancer cases and survival have increased significantly in recent decades. OBJECTIVE: In this study, we sought to evidence whether bone, joint and cartilage neoplasms are increasing with the aging of the Brazilian population, using the analysis of the DATASUS and IBGE databases, between 1979 and 2020. METHODS: We compared the means and the proportion of death in Brazil, to observe the confidence interval overlaps, separated by region. Comparison between genders, age group, death and specific rate were compared via proportion tests and the trend was investigated via time series analysis. RESULTS: Through the analyses, we can see that there is an increasing trend of cases, about 2.5 times in the period. Separated by region, the Southeast stands out, with a number of deaths about 6 times higher than other regions. CONCLUSION: Metastatic carcinoma is the most common neoplasm treated by orthopedic surgeons, and it is essential to adapt to this future projection, with cases of pathological bone involvement resulting from metastatic carcinomas, increasingly present in the routine of orthopedic surgeons. Level of Evidence IV, Cross-Sectional Observational Study.

Os casos oncológicos e a sobrevida aumentaram expressivamente nas últimas décadas. Objetivo: Investigar se as neoplasias de osso, articulação e cartilagem estão aumentando com o envelhecimento da população brasileira, por meio da análise das bases de dado do Sistema Único de Saúde (DATASUS) e do Instituto Brasileiro de Geografia e Estatística (IBGE), entre os anos de 1979 e 2020. Métodos: Realizamos a comparação de médias e de proporção de morte entre as regiões do Brasil para observar as sobreposições de intervalo de confiança em cada região. A comparação entre sexo, faixa etária, óbito e taxa específica foi feita via testes de proporção, e a tendência foi investigada via análise de séries temporais. Resultados: Foi evidenciada uma tendência crescente dos casos de neoplasia, com um aumento de cerca de 2,5 vezes no período analisado. Entre as regiões do Brasil, destacou-se o Sudeste, com número de mortes cerca de seis vezes maior que outras regiões. Conclusão: O carcinoma metastático é a neoplasia mais comum tratada pelos cirurgiões ortopédicos, e é fundamental nos adequarmos a essa projeção futura, com casos de comprometimento ósseo patológicos decorrentes de carcinomas metastáticos cada vez mais presentes na rotina do cirurgião ortopédico. Nível de Evidência IV, Estudo Observacional Transversal.

Osteoblastoma of the Capitate Bone: Case Report.

Carpal bone tumors must be investigated in clinical cases of chronic wrist pain with no previous trauma. Intraosseous ganglion, enchondroma, osteoid osteoma, and, less commonly, osteoblastoma are potential causes of osteolytic lesions affecting the carpal bones. In most cases, the clinical presentation alone is not enough to differentiate such lesions. Knowledge of certain characteristics, including the radiological and histopathological aspects of each of these tumors, is critical in order to make the differential diagnosis. We present a rare case of osteoblastoma of the capitate bone and review the literature on the subject.

Recommender-based bone tumour classification with radiographs-a link to the past.

OBJECTIVES: To develop an algorithm to link undiagnosed patients to previous patient histories based on radiographs, and simultaneous classification of multiple bone tumours to enable early and specific diagnosis. MATERIALS AND METHODS: For this retrospective study, data from 2000 to 2021 were curated from our database by two orthopaedic surgeons, a radiologist and a data scientist. Patients with complete clinical and pre-therapy radiographic data were eligible. To ensure feasibility, the ten most frequent primary tumour entities, confirmed histologically or by tumour board decision, were included. We implemented a ResNet and transformer model to establish baseline results. Our method extracts image features using deep learning and then clusters the k most similar images to the target image using a hash-based nearest-neighbour recommender approach that performs simultaneous classification by majority voting. The results were evaluated with precision-at-k, accuracy, precision and recall. Discrete parameters were described by incidence and percentage ratios. For continuous parameters, based on a normality test, respective statistical measures were calculated. RESULTS: Included were data from 809 patients (1792 radiographs; mean age 33.73 ± 18.65, range 3-89 years; 443 men), with Osteochondroma (28.31%) and Ewing sarcoma (1.11%) as the most and least common entities, respectively. The dataset was split into training (80%) and test subsets (20%). For k = 3, our model achieved the highest mean accuracy, precision and recall (92.86%, 92.86% and 34.08%), significantly outperforming state-of-the-art models (54.10%, 55.57%, 19.85% and 62.80%, 61.33%, 23.05%). CONCLUSION: Our novel approach surpasses current models in tumour classification and links to past patient data, leveraging expert insights. CLINICAL RELEVANCE STATEMENT: The proposed algorithm could serve as a vital support tool for clinicians and general practitioners with limited experience in bone tumour classification by identifying similar cases and classifying bone tumour entities. KEY POINTS: • Addressed accurate bone tumour classification using radiographic features. • Model achieved 92.86%, 92.86% and 34.08% mean accuracy, precision and recall, respectively, significantly surpassing state-of-the-art models. • Enhanced diagnosis by integrating prior expert patient assessments.

GIANT CELL TUMOR OF BONE: A MULTICENTER EPIDEMIOLOGICAL STUDY IN BRAZIL.

Introduction: Giant cell tumor of bone (GCTB) mainly affects young adults' long bone epiphyses, threatening bone strength and joint function. Surgery is the primary treatment, although post-surgery recurrence is significant. This study analyzes patient profiles, treatments, and outcomes for GCTB in Brazil. Methods: We retrospectively assessed local recurrence, metastasis, and treatment approaches in 643 GCTB patients across 16 Brazilian centers (1989-2021), considering regional differences. Results: 5.1% (n=33) developed pulmonary metastases, 14.3% (n=92) had pathological fractures, and the local recurrence rate was 18.2% (n=114). Higher rates of pulmonary metastases (12.1%) and advanced tumors (Campanacci III, 88.9%) were noted in lower-income North and Northeast regions. The North also had more pathological fractures (33.3%), extensive resections (61.1%), and amputations (27.8%). These regions faced longer surgical delays (36-39 days) than the South and Southeast (27-33 days). Conclusions: Our findings corroborate international data, underscoring regional disparities in Brazil that may lead to worse outcomes in disadvantaged areas. This highlights the need for improved orthopedic oncology care in Brazil's economically and structurally challenged regions. Level of Evidence III; Retrospective Cohort.

Introdução: O tumor de células gigantes do osso (TCG) atinge principalmente epífises de ossos longos em adultos jovens, impactando a resistência óssea e a funcionalidade articular. O tratamento principal é cirúrgico, mas há significativa recorrência pós-operatória. Este estudo analisa o perfil de pacientes e tumores de TCG no Brasil, abordagens de tratamento e resultados. Métodos: Avaliamos retrospectivamente taxas de recorrência, metástase e tratamentos em 643 pacientes tratados em 16 centros brasileiros de 1989 a 2021, considerando a distribuição geopolítica. Resultados: 5,1% desenvolveram metástases pulmonares e 14,3% tiveram fraturas patológicas. A recorrência local foi de 18,2%. Regiões economicamente menos favorecidas, como Norte e Nordeste, mostraram maiores incidências de metástases pulmonares (12,1%) e tumores avançados (Campanacci III, 88,9%). O Norte teve alta ocorrência de fraturas patológicas (33,3%), cirurgias extensas (61,1%) e amputações (27,8%). Nessas regiões, o tempo pré-cirúrgico foi mais longo (médias de 36 e 39 dias) comparado ao Sul e Sudeste (27 e 33 dias, respectivamente). Conclusões: Os resultados refletem disparidades regionais no Brasil, sugerindo que condições socioeconômicas influenciam os desfechos clínicos. Estes achados são importantes para melhorar o cuidado oncológico ortopédico em regiões desfavorecidas do país. Nível de Evidência III; Coorte Retrospectiva.

Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study.

OBJECTIVE: To develop and evaluate a deep learning model for automated segmentation and detection of bone metastasis on spinal MRI. MATERIALS AND METHODS: We included whole spine MRI scans of adult patients with bone metastasis: 662 MRI series from 302 patients (63.5 ± 11.5 years; male:female, 151:151) from three study centers obtained between January 2015 and August 2021 for training and internal testing (random split into 536 and 126 series, respectively) and 49 MRI series from 20 patients (65.9 ± 11.5 years; male:female, 11:9) from another center obtained between January 2018 and August 2020 for external testing. Three sagittal MRI sequences, including non-contrast T1-weighted image (T1), contrast-enhanced T1-weighted Dixon fat-only image (FO), and contrast-enhanced fat-suppressed T1-weighted image (CE), were used. Seven models trained using the 2D and 3D U-Nets were developed with different combinations (T1, FO, CE, T1 + FO, T1 + CE, FO + CE, and T1 + FO + CE). The segmentation performance was evaluated using Dice coefficient, pixel-wise recall, and pixel-wise precision. The detection performance was analyzed using per-lesion sensitivity and a free-response receiver operating characteristic curve. The performance of the model was compared with that of five radiologists using the external test set. RESULTS: The 2D U-Net T1 + CE model exhibited superior segmentation performance in the external test compared to the other models, with a Dice coefficient of 0.699 and pixel-wise recall of 0.653. The T1 + CE model achieved per-lesion sensitivities of 0.828 (497/600) and 0.857 (150/175) for metastases in the internal and external tests, respectively. The radiologists demonstrated a mean per-lesion sensitivity of 0.746 and a mean per-lesion positive predictive value of 0.701 in the external test. CONCLUSION: The deep learning models proposed for automated segmentation and detection of bone metastases on spinal MRI demonstrated high diagnostic performance.

Novel and unusual USP6 fusion partners in aneurysmal bone cyst and their role in pathogenesis and histopathological evaluation of this disease.

AIMS: The purpose of this study is to report novel and unusual USP6 fusion partners in aneurysmal bone cysts (ABCs). These findings may be useful in routine diagnostics as well as in studying the biology of USP6-related disorders. METHODS: A cohort of seven patients diagnosed with ABC examined between 2014 and 2023 at Motol University Hospital in Prague was included into this retrospective non-randomised study. All cases were analysed using histopathological evaluation, immunohistochemistry and Anchored multiplex RNA methods. Demographic characteristics and clinical data were also analysed. RESULTS: We identified two novel (ZFX and IP6K2), three unusual (MEF2A, EIF1 and COL1A2) and two common (CDH11) fusion partners with USP6 gene among all seven cases of ABC. CONCLUSIONS: Cases in our study were diagnosed as ABCs due to characteristic clinical and morphological presentation. However, not all cases are as self-evident, and molecular testing is necessary. The identification of these gene alterations can be useful in distinction between true ABC and ABC-like changes among many benign and malignant bone tumours.

Feasibility of a Novel In-situ Local Tumor Ablation and Recycling Machine Based on Radiofrequency Dielectric Heating: In-depth Review on Research Background and Preliminary Report of an Experimental Study.

Background: In bone sarcomas, chemotherapy has improved the prognosis with advances in diagnostic and surgical technologies, which has led to attempts to save limbs. As early detection and multidisciplinary treatment have improved the survival rate, curative surgery is considered for selected patients with metastatic bone carcinomas. Limb salvage procedures may vary in relation to the reconstruction method, which is accompanied by different complications. To overcome them, we devised a novel concept, in-situ local tumor ablation and recycling machine based on radiofrequency (RF)-induced heating and intended experiments to demonstrate its feasibility. Methods: The fresh femurs of 6-month-old pigs were used after removing the epiphyses; the distal parts were placed in a heating chamber. Fiber-optic temperature sensors were inserted in the metaphysis, meta-diaphysis, and diaphysis. Temperatures were measured six times each during heating at 27.12 MHz at various powers. Additionally, the compressive and bending stiffnesses were measured six times each for the unprocessed, RF-treated, and pasteurized bones, and the results were compared. Results: Under 200 W power output, the temperatures at all measurement sites reached 70 ℃ or higher in 6 minutes, and the temperatures were maintained. The median compressive stiffness of RF-heated bones was 79.2% higher than that of pasteurized bones, but the difference was statistically insignificant. The median bending stiffness of RF-heated bones was approximately 66.3% of that of unprocessed bones, which was 20% higher than that of pasteurized bones. Conclusions: The feasibility to rapidly attain and maintain temperatures for tumor ablation is shown, which favorably preserves bone stiffness through the in-situ local tumor ablation and recycling based on RF heating. The problem of nonuniform temperature distribution might be solved by an optimal design determined from simulation research and additional experiments.

Deep learning for differentiation of osteolytic osteosarcoma and giant cell tumor around the knee joint on radiographs: a multicenter study.

OBJECTIVES: To develop a deep learning (DL) model for differentiating between osteolytic osteosarcoma (OS) and giant cell tumor (GCT) on radiographs. METHODS: Patients with osteolytic OS and GCT proven by postoperative pathology were retrospectively recruited from four centers (center A, training and internal testing; centers B, C, and D, external testing). Sixteen radiologists with different experiences in musculoskeletal imaging diagnosis were divided into three groups and participated with or without the DL model's assistance. DL model was generated using EfficientNet-B6 architecture, and the clinical model was trained using clinical variables. The performance of various models was compared using McNemar's test. RESULTS: Three hundred thirty-three patients were included (mean age, 27 years ± 12 [SD]; 186 men). Compared to the clinical model, the DL model achieved a higher area under the curve (AUC) in both the internal (0.97 vs. 0.77, p = 0.008) and external test set (0.97 vs. 0.64, p < 0.001). In the total test set (including the internal and external test sets), the DL model achieved higher accuracy than the junior expert committee (93.1% vs. 72.4%; p < 0.001) and was comparable to the intermediate and senior expert committee (93.1% vs. 88.8%, p = 0.25; 87.1%, p = 0.35). With DL model assistance, the accuracy of the junior expert committee was improved from 72.4% to 91.4% (p = 0.051). CONCLUSION: The DL model accurately distinguished osteolytic OS and GCT with better performance than the junior radiologists, whose own diagnostic performances were significantly improved with the aid of the model, indicating the potential for the differential diagnosis of the two bone tumors on radiographs. CRITICAL RELEVANCE STATEMENT: The deep learning model can accurately distinguish osteolytic osteosarcoma and giant cell tumor on radiographs, which may help radiologists improve the diagnostic accuracy of two types of tumors. KEY POINTS: • The DL model shows robust performance in distinguishing osteolytic osteosarcoma and giant cell tumor. • The diagnosis performance of the DL model is better than junior radiologists'. • The DL model shows potential for differentiating osteolytic osteosarcoma and giant cell tumor.

AI applications in musculoskeletal imaging: a narrative review.

This narrative review focuses on clinical applications of artificial intelligence (AI) in musculoskeletal imaging. A range of musculoskeletal disorders are discussed using a clinical-based approach, including trauma, bone age estimation, osteoarthritis, bone and soft-tissue tumors, and orthopedic implant-related pathology. Several AI algorithms have been applied to fracture detection and classification, which are potentially helpful tools for radiologists and clinicians. In bone age assessment, AI methods have been applied to assist radiologists by automatizing workflow, thus reducing workload and inter-observer variability. AI may potentially aid radiologists in identifying and grading abnormal findings of osteoarthritis as well as predicting the onset or progression of this disease. Either alone or combined with radiomics, AI algorithms may potentially improve diagnosis and outcome prediction of bone and soft-tissue tumors. Finally, information regarding appropriate positioning of orthopedic implants and related complications may be obtained using AI algorithms. In conclusion, rather than replacing radiologists, the use of AI should instead help them to optimize workflow, augment diagnostic performance, and keep up with ever-increasing workload.Relevance statement This narrative review provides an overview of AI applications in musculoskeletal imaging. As the number of AI technologies continues to increase, it will be crucial for radiologists to play a role in their selection and application as well as to fully understand their potential value in clinical practice. Key points • AI may potentially assist musculoskeletal radiologists in several interpretative tasks.• AI applications to trauma, age estimation, osteoarthritis, tumors, and orthopedic implants are discussed.• AI should help radiologists to optimize workflow and augment diagnostic performance.

Analgesic efficacy and safety of percutaneous thermal ablation plus cementoplasty for painful bone metastases: a systematic review and meta-analysis.

PURPOSE: To conduct a systematic review and meta-analysis of publications to evaluate the analgesic efficacy and safety of percutaneous thermal ablation (PTA) plus percutaneous cementoplasty (PCP) (PTA + PCP) for painful bone metastases. METHODS: We searched PubMed, Cochrane Library and Embase for articles published up to October 2022. Outcomes were a 10-point pain scale, morphine equivalents daily dose (MEDD) and complications. A subgroup confined to spinal bone metastases was analyzed. RESULTS: Twenty-one articles were selected for the analysis. The 21 selected articles involved a total of 661 cases. The pooled pain scales at pre-PTA + PCP, 1 day, 1 week and 1-, 3-, and 6 months post-PTA + PCP were 7.60 (95% confidence interval [CI], 7.26-7.95, I2 = 89%), 3.30 (95% CI, 2.25-4.82, I2 = 98%), 2.58 (95% CI, 1.99-3.35, I2 = 94%), 2.02 (95% CI, 1.50-2.71, I2 = 93%), 1.78 (95% CI, 1.26-2.53, I2 = 95%), and 1.62 (95% CI, 1.14-2.31, I2 = 88%), and in the subgroup, 7.97 (95% CI, 7.45-8.52, I2 = 86%), 3.01 (95% CI, 1.43-6.33, I2 = 98%), 2.95 (95% CI, 1.93-4.51, I2 = 95%), 2.34 (95% CI, 1.82-3.01, I2 = 68%), 2.18 (95% CI, 1.57-3.03, I2 = 78%), and 2.01 (95% CI, 1.16-3.48, I2 = 86%). Mean MEDD decreased up to 3 months post-PTA + PCP in 4 articles. The overall pooled major complication rate was 4% (95% CI, 2-6%, I2 = 2%). CONCLUSIONS: The updated systematic review and meta-analysis indicates that PTA + PCP for painful bone metastases is safe, and can lead to rapid and sustained pain reduction.

Demographics and additional haematologic cancers of patients with histiocytic/dendritic cell neoplasms.

AIMS: The discovery of somatic genetic alterations established many histiocytic disorders as haematologic neoplasms. We aimed to investigate the demographic characteristics and additional haematologic cancers of patients diagnosed with histiocytic disorders in The Netherlands. METHODS AND RESULTS: We retrieved data on histiocytosis patients from the Dutch Nationwide Pathology Databank (Palga). During 1993 to 2022, more than 4000 patients with a pathologist-assigned diagnosis of a histiocytic disorder were registered in Palga. Xanthogranulomas were the most common subtype, challenging the prevailing assumption that Langerhans cell histiocytosis (LCH) is the most common histiocytic disorder. LCH and juvenile xanthogranuloma (JXG) had a peak incidence in the first years of life; males were overrepresented among all histiocytosis subgroups. 118 patients had a histiocytic disorder and an additional haematologic malignancy, including 107 (91%) adults at the time of histiocytosis diagnosis. In 16/118 patients, both entities had been analysed for the same genetic alteration(s). In 11 of these 16 patients, identical genetic alterations had been detected in both haematologic neoplasms. This included two patients with PAX5 p.P80R mutated B cell acute lymphoblastic leukaemia and secondary histiocytic sarcoma, further supporting that PAX5 alterations may predispose (precursor) B cells to differentiate into the myeloid lineage. All 4/11 patients with myeloid neoplasms as their additional haematologic malignancy had shared N/KRAS mutations. CONCLUSIONS: This population-based study highlights the frequency of xanthogranulomas. Furthermore, our data add to the growing evidence supporting clonal relationships between histiocytic/dendritic cell neoplasms and additional myeloid or lymphoid malignancies. Particularly adult histiocytosis patients should be carefully evaluated for the development of these associated haematologic cancers.

Giant cell tumor of bone: a multicenter epidemiological study in brazil / Tumor de células gigantes ósseas: estudo epidemiológico multicêntrico no brasil

ABSTRACT Introduction: Giant cell tumor of bone (GCTB) mainly affects young adults' long bone epiphyses, threatening bone strength and joint function. Surgery is the primary treatment, although post-surgery recurrence is significant. This study analyzes patient profiles, treatments, and outcomes for GCTB in Brazil. Methods: We retrospectively assessed local recurrence, metastasis, and treatment approaches in 643 GCTB patients across 16 Brazilian centers (1989-2021), considering regional differences. Results: 5.1% (n=33) developed pulmonary metastases, 14.3% (n=92) had pathological fractures, and the local recurrence rate was 18.2% (n=114). Higher rates of pulmonary metastases (12.1%) and advanced tumors (Campanacci III, 88.9%) were noted in lower-income North and Northeast regions. The North also had more pathological fractures (33.3%), extensive resections (61.1%), and amputations (27.8%). These regions faced longer surgical delays (36-39 days) than the South and Southeast (27-33 days). Conclusions: Our findings corroborate international data, underscoring regional disparities in Brazil that may lead to worse outcomes in disadvantaged areas. This highlights the need for improved orthopedic oncology care in Brazil's economically and structurally challenged regions. Level of Evidence III; Retrospective Cohort.

RESUMO Introdução: O tumor de células gigantes do osso (TCG) atinge principalmente epífises de ossos longos em adultos jovens, impactando a resistência óssea e a funcionalidade articular. O tratamento principal é cirúrgico, mas há significativa recorrência pós-operatória. Este estudo analisa o perfil de pacientes e tumores de TCG no Brasil, abordagens de tratamento e resultados. Métodos: Avaliamos retrospectivamente taxas de recorrência, metástase e tratamentos em 643 pacientes tratados em 16 centros brasileiros de 1989 a 2021, considerando a distribuição geopolítica. Resultados: 5,1% desenvolveram metástases pulmonares e 14,3% tiveram fraturas patológicas. A recorrência local foi de 18,2%. Regiões economicamente menos favorecidas, como Norte e Nordeste, mostraram maiores incidências de metástases pulmonares (12,1%) e tumores avançados (Campanacci III, 88,9%). O Norte teve alta ocorrência de fraturas patológicas (33,3%), cirurgias extensas (61,1%) e amputações (27,8%). Nessas regiões, o tempo pré-cirúrgico foi mais longo (médias de 36 e 39 dias) comparado ao Sul e Sudeste (27 e 33 dias, respectivamente). Conclusões: Os resultados refletem disparidades regionais no Brasil, sugerindo que condições socioeconômicas influenciam os desfechos clínicos. Estes achados são importantes para melhorar o cuidado oncológico ortopédico em regiões desfavorecidas do país. Nível de Evidência III; Coorte Retrospectiva.

Quality of life issues in patients with bone metastases: A systematic review.

INTRODUCTION: Bones are frequent sites of metastatic disease, observed in 30-75% of advanced cancer patients. Quality of life (QoL) is an important endpoint in studies evaluating the treatments of bone metastases (BM), and many patient-reported outcome tools are available. The primary objective of this systematic review was to compile a list of QoL issues relevant to BM and its interventions. The secondary objective was to identify common tools used to assess QoL in patients with BM, and the QoL issues they fail to address. METHODS: A search was conducted on Ovid MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials databases between 1946 and 27 January 2023 with the keywords "bone metastases", "quality of life", and "patient reported outcomes". Specific QoL issues in original research studies and the QoL tools used were extracted. RESULTS: The review identified the QoL issues most prevalent to BM in the literature. Physical and functional issues observed in patients included pain, interference with ambulation and daily activities, and fatigue. Psychological symptoms, such as helplessness, depression, and anxiety were also common. These issues interfered with patients' relationships and social activities. Items not mentioned in existing QoL tools were related to newer treatments of BM, such as pain flare, flu-like symptoms, and jaw pain due to osteonecrosis. CONCLUSIONS: This systematic review highlights that QoL issues for patients with BM have expanded over time due to advances in BM-directed treatments. If they are relevant, additional treatment-related QoL issues identified need to be validated prospectively by patients and added to current assessment tools.

Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study.

OBJECTIVES: To develop an ensemble multi-task deep learning (DL) framework for automatic and simultaneous detection, segmentation, and classification of primary bone tumors (PBTs) and bone infections based on multi-parametric MRI from multi-center. METHODS: This retrospective study divided 749 patients with PBTs or bone infections from two hospitals into a training set (N = 557), an internal validation set (N = 139), and an external validation set (N = 53). The ensemble framework was constructed using T1-weighted image (T1WI), T2-weighted image (T2WI), and clinical characteristics for binary (PBTs/bone infections) and three-category (benign/intermediate/malignant PBTs) classification. The detection and segmentation performances were evaluated using Intersection over Union (IoU) and Dice score. The classification performance was evaluated using the receiver operating characteristic (ROC) curve and compared with radiologist interpretations. RESULT: On the external validation set, the single T1WI-based and T2WI-based multi-task models obtained IoUs of 0.71 ± 0.25/0.65 ± 0.30 for detection and Dice scores of 0.75 ± 0.26/0.70 ± 0.33 for segmentation. The framework achieved AUCs of 0.959 (95%CI, 0.955-1.000)/0.900 (95%CI, 0.773-0.100) and accuracies of 90.6% (95%CI, 79.7-95.9%)/78.3% (95%CI, 58.1-90.3%) for the binary/three-category classification. Meanwhile, for the three-category classification, the performance of the framework was superior to that of three junior radiologists (accuracy: 65.2%, 69.6%, and 69.6%, respectively) and comparable to that of two senior radiologists (accuracy: 78.3% and 78.3%). CONCLUSION: The MRI-based ensemble multi-task framework shows promising performance in automatically and simultaneously detecting, segmenting, and classifying PBTs and bone infections, which was preferable to junior radiologists. CLINICAL RELEVANCE STATEMENT: Compared with junior radiologists, the ensemble multi-task deep learning framework effectively improves differential diagnosis for patients with primary bone tumors or bone infections. This finding may help physicians make treatment decisions and enable timely treatment of patients. KEY POINTS: • The ensemble framework fusing multi-parametric MRI and clinical characteristics effectively improves the classification ability of single-modality models. • The ensemble multi-task deep learning framework performed well in detecting, segmenting, and classifying primary bone tumors and bone infections. • The ensemble framework achieves an optimal classification performance superior to junior radiologists' interpretations, assisting the clinical differential diagnosis of primary bone tumors and bone infections.

Aneurysmal bone cyst-like changes developed in melorheostosis with epiphyseal osteopoikilosis.

Aneurysmal bone cyst (ABC) is a rare and usually painful condition, representing about 1% of all bone tumors. A geographical lytic, expansile, and septated radiological pattern, with fluid-fluid levels on MRI, is classically displayed. ABC can be a primary bone lesion (70% of patients) or can arise in an underlying condition and is subsequently named "ABC-like changes" (30%). ABC-like changes are more frequently encountered in skeletal segments affected by chondroblastoma, fibrous dysplasia, giant cell tumor, osteoblastoma, non-ossifying fibroma, and osteosarcoma. In this article, we describe the first case of ABC-like changes developed in association with an ultra-rare sclerosing bone disease: melorheostosis. Melorheostosis is characterized by recognizable patterns on radiological studies with a pathological increased bone density and a cortical thickening within the periosteal or endosteal space, usually with a "dripping candle wax" appearance. More rarely, other different radiological patterns can be observed, such as "osteopatia striata-like," "osteoma-like," "myositis ossificans-like," and mixed patterns. Pain and limb hypotrophy are the most common clinical manifestations. We report the case of a Caucasian male with a clinic-radiological diagnosis of melorheostosis (with epiphyseal osteopoikilosis) since the age of twelve. At the age of nineteen, he suffered from increased pain in the proximal right thigh, and the radiological control revealed an expansive septated lesion at the right proximal femoral bone. The diagnosis of ABC-like changes developed in melorheostosis was obtained after CT-guided bone biopsy and confirmed by open-incisional biopsy.

Myoepithelial carcinoma of soft tissues and bone.

AIM: Myoepithelial carcinoma occurs mainly in salivary glands but rarely can also occur in soft tissues or bone. In this paper, we evaluated the role of surgical margins, radiotherapy, and chemotherapy in myoepithelial carcinoma of soft tissue and bone (MC-SB) treated at our Institute. METHODS: Medical records of 33 patients presenting with MC-SB between 1998 and 2015 at our institution were retrospectively analysed, and diagnosis and treatment were studied. RESULTS: The median follow-up was 58.5 months. Twenty patients had tumours originating in soft tissues and 13 in bone. Eight patients (24.2%) had metastases at diagnosis, the remaining 25 had localised disease. Thirty-two underwent resection of the primary lesion. In 29 surgical margins were evaluated: wide in 28 with 10/28 who recurred (35.7%) and marginal resection in 1 who also recurred. Six patients received adjuvant radiotherapy. Metastases developed in 15/25 patients (60%) with localised disease at onset. Chemotherapy was administered in patients with metastatic advanced disease. Cisplatin+doxorubicin was administered in six patients as first-line chemotherapy with an objective response in 5/6 patients with a median 4-month duration. Five-year overall survival rate was 62.6% in patients with localised tumours and 12.5% in those metastatic at diagnosis. CONCLUSIONS: MC-SB showed a high incidence of local recurrences and metastases. Despite different chemotherapy regimens, the outcome remains poor in patients with metastatic disease. Due to the absence of a standard protocol, we encourage treatment by multidisciplinary teams in referral centres with renowned expertise.

Evaluation of Bone and Soft Tissue Tumors of the Shoulder Girdle.

INTRODUCTION: The shoulder girdle comprises the scapula, clavicle, proximal humerus, and the soft tissues surrounding these structures. Bone and soft tissue tumors are notably more prevalent in the lower extremity than in the upper extremity. However, the shoulder ranks as the third most common site for primary tumors, following the hip-pelvis and knee. MATERIALS AND METHODS: This study conducted a retrospective examination of patients who presented with pain and swelling in the shoulder and its vicinity. The evaluation was carried out using a multidisciplinary approach by the Bone and Soft Tissue Tumors Council. RESULTS: The study included 224 patients diagnosed with a tumoral lesion in the shoulder girdle between 2004 and 2021. Among these patients, 22 were assessed to have lesions other than tumors, while 105 (51.98%) had benign lesions, and 97 had malignant lesions. The most prevalent benign lesions were cystic bone lesions (30) and soft tissue lipomas (10). The primary form of malignant lesion was metastatic tumors (49). CONCLUSION: Pathologies in the shoulder girdle may manifest through pain, palpable swelling, pathological fractures, or may be incidentally detected via radiological imaging. Notably, pain, hypercalcemia, and pathological fractures are significant indicators, especially in cases of bone metastases, which often follow a highly fatal course when involving long bones. The musculoskeletal system is the third most common site for metastasis, following the lungs and liver. Hence, particular attention should be directed toward metastatic concerns in the shoulder and its surrounding area.

RESECTION OF ANKLE TUMOR LESION AND RECONSTRUCTION WITH THE USE OF ALLOGRAFT.

Reconstruction of the distal third of the tibia due to resection of a malignant tumor has some hindering factors, such as a thin subcutaneous layer, neurovascular bundles that cross compartments, prolonged operative duration, specific orthopedic material, and a trained multidisciplinary team. Allografting with material from tissue banks is part of this orthopaedic arsenal. OBJECTIVE: To describe the protocol used at Instituto Nacional de Traumatologia e Ortopedia Jamil Haddad. METHODS: Series of six cases subjected to resection with oncologic margins, allograft reconstruction, and use of a retrograde ankle nail as limb-salvage surgery. Three of the six patients were women, the lesions were on average 9.3 cm long, and the average operative duration was 3.25 hours. RESULTS: The main short-term complication (≤ 30 days) was peroneal nerve palsy, while the main long-term complication (> 30 days) was surgical site infection (two cases). Consolidation of the two foci occurred in three patients, and two patients developed asymptomatic pseudoarthrosis of the proximal focus with consolidation of the distal focus. CONCLUSION: Despite the complications, the proposed surgery gives patients the chance to preserve their limb in the face of immediate radical surgery. Level of Evidence IV, Case Series.

A reconstrução do terço distal da tíbia devido à ressecção de tumor maligno apresenta alguns fatores que dificultam sua realização, como camada subcutânea delgada, feixes neurovasculares que transpassam os compartimentos, tempo cirúrgico prolongado, material ortopédico específico e equipe multidisciplinar treinada. O aloenxerto de banco de tecido faz parte deste arsenal ortopédico. Objetivo: Descrever o protocolo realizado no Instituto Nacional de Traumatologia e Ortopedia Jamil Haddad. Métodos: Série de seis casos submetidos à ressecção com margens oncológicas, reconstrução com aloenxerto e uso de haste retrógrada de tornozelo como cirurgia preservadora do membro. Três dos seis pacientes eram do sexo feminino, as lesões tinham em média 9,3 cm de comprimento e o tempo cirúrgico médio foi de 3,25 horas. Resultados: A principal complicação de curto prazo (≤ 30 dias) foi a paralisia do nervo fibular, enquanto a principal complicação de longo prazo (> 30 dias) foi a infecção do sítio cirúrgico (dois casos). A consolidação dos dois focos ocorreu em três pacientes, e dois pacientes evoluíram para pseudoartrose assintomática do foco proximal com consolidação do foco distal. Conclusão: Apesar das complicações, a cirurgia proposta permite ao paciente a chance de preservar seu membro diante de uma cirurgia radical imediata. Nível de Evidência IV, Série de Casos.