Objective: Our aim was to compare the clinical results of two different methods for treatment of subtrochanteric nonunion: an additional fixation to the previous hardware, and exchange of previous hardware.
Methods: We retrospectively analyzed 19 cases of subtrochanteric nonunion, and compared clinical results from 10 cases (Group 1) with exchange of the previous hardware, and 9 cases (Group 2) with retained previous hardware and an additional fixation. Autogenous bone grafting were performed for all cases. The mean age of the patients was 49.1 years in Group 1, and 48.2 years in Group 2. The mean follow-up period was 19.3 months.
Results: The union rate was 100% in Group 1, and 77.8% in Group 2 (p<0.05). The average time of union was 7.6 months in Group 1, and 6.9 months in Group 2. The mean preoperative leg length discrepancy (LLD) was 8.3 mm in Group 1, 10.0 mm in Group 2; and the mean final LLD was 13.9 mm in Group 1, and 11.2 mm in Group 2. The mean length of hospital stay was 23.8±3.3 days in Group 1, and 18.2±2.7 days in Group 2; the mean amount of blood transfusion was 960 ml in Group 1, and 647 ml in Group 2; and the mean operative time was 3.7±0.8 hrs in Group 1, and 2.7±0.6 hrs in Group 2 (p<0.05).
Conclusion: The union rate in patients with exchange of the previous hardware was better than in those with retained hardware in the treatment of subtrochanteric nonunion by complete removal of the interposed fibrous tissue and meticulous bone grafting leading to a biological environment to achieve bony union.
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http://dx.doi.org/10.3944/aott.2013.2887 | DOI Listing |
Micromachines (Basel)
December 2024
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China.
Reconfigurable processor-based acceleration of deep convolutional neural network (DCNN) algorithms has emerged as a widely adopted technique, with particular attention on sparse neural network acceleration as an active research area. However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. Consequently, there remains significant potential for further exploration into improving the efficiency, latency, and power consumption of neural network accelerators across diverse computational scenarios.
View Article and Find Full Text PDFJ Funct Biomater
January 2025
Spine Surgery, IRCCS-Istituto Ortopedico Rizzoli, Via G.C. Pupilli 1, 40136 Bologna, Italy.
Surgical site infections (SSIs) following spinal instrumentation surgery are among the most concerning complications. This study is aimed at assessing the effectiveness of a new treatment approach for SSIs that includes a single-stage approach with the removal of the previous hardware, accurate debridement, and single-stage instrumentation using a silver fixation system (SFS) made of titanium alloy coated with silver (Norm Medical, Ankara, Turkey) by means of a retrospective observational study. The demographic data, type of surgery, comorbidities, pathogens, and treatment details of consecutive patients with an SSI who received the SFS between 2018 and 2021 were extracted from their medical records and analyzed.
View Article and Find Full Text PDFFront Robot AI
January 2025
Department of Materials and Production, Aalborg University, Aalborg, Denmark.
Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.
View Article and Find Full Text PDFJ Vasc Surg Cases Innov Tech
April 2025
Department of Radiology and Nuclear Medicine, University Teaching and Research Hospital Lucerne, Luzern, Switzerland.
Objective: The aim of this single-center case series is to demonstrate that an ultra-low dose (ULD) can be routinely achieved in the hybrid operating room in standard endovascular aortic repair (EVAR) for infrarenal abdominal aortic aneurysm by adjusting the manufacturer's predefined imaging parameters, hardware configurations and user protocols (including benchmarking).
Methods: The hybrid operating room manufacturer predefined EVAR software setup of the dose exposure control software (OPTIQ, Siemens Healthineers, Forchheim, Germany) at our university medical center was screened for possible improvements regarding radiation dose application. Tests on a water-equivalent as well as polymethyl methacrylate phantom model to assess the impact of technical settings were performed, including comparison of settings for exposure control software, different magnification, collimation configurations and detector distance.
Cureus
December 2024
Internal Medicine, O'Connor Hospital, Santa Clara, USA.
Osteomyelitis is commonly caused by pathogens like , but rare organisms such as , typically associated with superficial skin infections, can also be implicated. Recognizing these atypical pathogens presents diagnostic and therapeutic challenges, especially in the presence of orthopedic hardware. We conducted a literature review yielding 25 studies and encompassing 797 patient cases, which highlights the emerging role of species in osteomyelitis, particularly following trauma or surgical interventions.
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