Injury
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Accurate microbiological identification is crucial when managing chronic osteomyelitis (COM) and post-traumatic osteomyelitis (PTO). Although bone single photon emission computed tomography/computed tomography (SPECT/CT) has helped in localizing osteomyelitis lesions, its effectiveness in guiding microbiological sampling remains unclear. This study aimed to determine whether bone SPECT/CT can improve microbiological identification rates in COM or PTO of the extremities. ⋯ Bone SPECT/CT effectively identifies optimal sites for microbiological sampling in COM and PTO of the extremities, particularly when antibiotics have been discontinued for ≥2 weeks, enhancing pathogen detection rates.
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The anatomical study of the modified medial approach for addressing fractures of the distal third of the humeral shaft aimed to elucidate the benefits of this method in providing optimal exposure for surgical intervention. ⋯ The modified medial approach, as revealed by anatomical studies, focuses on the fracture site with a straight skin incision aligned between the most prominent point of the medial epicondyle and the midpoint of the axilla, positioned one transverse finger from the radial side. Using the basilic vein as a reference, major vessels and nerves remain undisturbed, ensuring a safe operative zone. This technique allows for significant exposure of both the anterior and external humeral shaft fracture site and the ulnar side butterfly fragment while minimizing tissue damage and facilitating rapid recovery. The approach offers notable clinical value due to its reduced invasiveness and accelerated postoperative rehabilitation.
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Missed fractures are the most common radiologic error in clinical practice, and erroneous classification could lead to inappropriate treatment and unfavorable prognosis. Here, we developed a fully automated deep learning model to detect and classify femoral neck fractures using plain radiographs, and evaluated its utility for diagnostic assistance and physician training. ⋯ The model represents a valuable tool for physicians to better visualize fractures and improve training outcomes, indicating deep learning algorithms as a promising approach to improve clinical practice and medical education.
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The fractures in the condylar area are a challenge for every surgeon, for the treatment of which trapezoidal condylar plate is used in most cases. However, it is not possible to position the plate in the ideal osteosynthesis lines according to Meyer et al. in every clinical situation. In many cases, the fracture line is also not in the centre of the trapezoidal plate. ⋯ The results have shown that an inferior position of the fracture line leads to greater mobility of the fragments if the position of the osteosynthesis material is the same. With a deep fracture line, a more cranial positioning of the plate leads to better stabilisation. This study needs to be experimentally validated.