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Deep learning is revolutionising radiological sciences by enhancing diagnostic accuracy and clinical decision-making across multiple imaging modalities. Recent research demonstrates significant advances in three key areas: imaging appropriateness assessment, fracture detection, and orthopaedic hardware complication identification.In musculoskeletal imaging, contextualised large language models (LLMs) have shown remarkable potential for evaluating MRI scan appropriateness. This technology could serve as valuable clinical decision support, helping reduce unnecessary imaging whilst ensuring appropriate care. Deep convolutional neural networks are proving highly effective in fracture detection. Additionally, deep learning shows promise in detecting orthopaedic hardware complications. A novel study on implant cutout detection achieved 99.7% accuracy with 84.6% sensitivity, demonstrating feasibility for identifying post-surgical complications that could require revision procedures. These developments highlight deep learning's potential to augment radiological practice across the entire care continuum, from streamlining imaging protocols to improving diagnostic accuracy in both emergency and post-operative settings.
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Osteoarthritis (OA) is a debilitating disease that results in pain and physical disability. Currently, more than 250 million people worldwide are affected by this disease and its prevalence will continue to rise as the population ages, contributing to a substantial health burden. There is new evidence to suggest that OA may be due to inflammatory processes associated with alarmins. Alarmins such as S100, high mobility group protein B1 (HMGB1) and heat shock proteins (HSP), are endogenous molecules released during tissue damage, Alarmins have been found abundantly within synovial tissues and have been implicated in proinflammatory responses such as synovial inflammation, cartilage degeneration and osteophyte formation. Our specific aim is to compare the spatial topography of alarmins (specifically, S100, HMGB1 and HSP), chondrocytes and M1/M2 macrophages in the subchondral bone and synovium of an arthritic knee, using tissue samples retrieved from total knee arthroplasty (TKA).
In collaboration with SKH and SGH's Department of Rheumatology, the team conducts radiographic and MRI evaluation of patients with knee osteoarthritis in early and late stages. Serum and synovial fluid analysis of a panel of biomarkers related to innate immunity were also conducted. Associations between inflammatory biomarkers and various MRI features in early-stage osteoarthritis were observed. Follow-up studies to establish temporal relationship between progression of osteoarthritis and changes in biomarker activity are in progress.
Demographic and functional outcome data using validated orthopaedic scoring systems will be recorded for each patient. Radiological data including anteroposterior, lateral, skyline and long-leg X-rays of both knees will be taken preoperatively. Patients will also undergo a 3.0-T MRI of the knee, which will be scored using the Whole Organ Magnetic Resonance Imaging Score (WORMS). The anterior/central/posterior regions of the medial and lateral tibial plateaus will be scored separately for cartilage morphology, subchondral bone cysts, bone marrow lesions (BML), subchondral bone attrition and osteophytes.
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Atypical femoral fractures are fractures of the femur involving the subtrochanteric region and shaft which are often related to bisphosphonate therapy, used to treat osteoporosis and prevent osteoporotic fractures. It is an effective anti-resorptive agent but is associated with complications which include atypical femoral fractures. Atypical femoral fractures are rare but more frequent in Asians and Orientals than Caucasian populations, resulting in a fair number of these cases being reported in Singapore. Orthopaedists at SGH were one of the first to publish a series of these cases. Dr P Chandra Mohan and A/Prof Png Meng Ai, from Department of Diagnostics Radiology, have been collaborating with SGH Department of Orthopaedic Surgery on this project.
With greater awareness, this condition is being detected at the stress fracture or incomplete fracture stage. Clinical management aims to prevent progression to displaced fractures with their associated surgical challenges and complications. Investigation into management of incomplete atypical femoral fractures has been research focus area of A/Prof Png. Some authors advocate routine prophylactic fixation for this group of patients while others have promoted the use of synthetic parathormone or teriparatide in addition to stopping bisphosphonates to improve healing of incomplete fractures. Nevertheless, further research is needed to clarify how to best manage this group of patients.
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