25 research outputs found

    Surgical Treatment of dialysis-associated spondylosis

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    【Objective】The purposes of this study were to classify the lesions of dialysis-associated spondylosis and evaluate the results of surgical treatment. 【Subjects and methods】The subjects were 87 patients (43 men and 44 women) who underwent surgery. These patients were studied in terms of lesion classification, surgical method, duration of dialysis, duration of surgery, intraoperative blood loss, and postoperative complications. 【Results】Among patients with cervical spine involvement, 13 had destructive spondyloarthropathy (DSA), 29 had amyloid deposition, and 8 had a dens axis lesion. Among patients with lumbar spine involvement, 20 had DSA, and 17 had amyloid deposition. With regard to 6 patients with a dens axis lesion involving atlantoaxial subluxation, each had posterior fusion (PF) of the occiput to the upper cervical spine. With regard to the patients with lumbar DSA, 10 patients had posterolateral fusion (PLF), 8 patients had posterior lumbar interbody fusion (PLIF) and 2 patients had laminectomy. The duration of dialysis in cases of a dens axis lesion varied between 25 and 35 years, with the mean duration being 28.9 years. 【Conclusions】All patients who underwent surgery for dens axis lesions were long-term dialysis patients who had been on dialysis for 25 years. Lumbar spine DSA was treated with PLIF in patients with lateral slipping and marked instability, with laminectomy in patients with a narrowed intervertebral disk space and no instability

    Surgical Treatment of dialysis-associated spondylosis

    Get PDF
    【Objective】The purposes of this study were to classify the lesions of dialysis-associated spondylosis and evaluate the results of surgical treatment. 【Subjects and methods】The subjects were 87 patients (43 men and 44 women) who underwent surgery. These patients were studied in terms of lesion classification, surgical method, duration of dialysis, duration of surgery, intraoperative blood loss, and postoperative complications. 【Results】Among patients with cervical spine involvement, 13 had destructive spondyloarthropathy (DSA), 29 had amyloid deposition, and 8 had a dens axis lesion. Among patients with lumbar spine involvement, 20 had DSA, and 17 had amyloid deposition. With regard to 6 patients with a dens axis lesion involving atlantoaxial subluxation, each had posterior fusion (PF) of the occiput to the upper cervical spine. With regard to the patients with lumbar DSA, 10 patients had posterolateral fusion (PLF), 8 patients had posterior lumbar interbody fusion (PLIF) and 2 patients had laminectomy. The duration of dialysis in cases of a dens axis lesion varied between 25 and 35 years, with the mean duration being 28.9 years. 【Conclusions】All patients who underwent surgery for dens axis lesions were long-term dialysis patients who had been on dialysis for 25 years. Lumbar spine DSA was treated with PLIF in patients with lateral slipping and marked instability, with laminectomy in patients with a narrowed intervertebral disk space and no instability

    An SRAM SEU Cross Section Curve Physics Model

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    Static random access memories (SRAMs) are prone to a single-event upset (SEU), also known as soft errors, due to transient noise caused by a single strike of radiation. Beam testing has been extensively used to measure the SEU cross section of SRAMs as a function of the linear energy transfer (LET) of charged particle radiation. The evolution of the cross section as a function of LET is called the cross section curve, which plays a vital role in upset rate analysis for hardness assurance. Various analytical models have been developed to describe SRAM SEU cross section curves, and they have proven to be useful in reducing the cost of beam testing as well as revealing the physics behind test results. However, they involve arbitrary parameters, which make it challenging to predict cross section curves without any beam results. Moreover, the current method of analyzing cross section curves or the LET dependence of cross sections relies on a model different from that is used in the analysis of power-supply-voltage dependence, which is becoming increasingly important because of the demand for low-power operation. To overcome these problems, this article proposes a unified equation that describes both LET and the power-supply-voltage dependence of SRAM SEU cross sections. It comprises only parameters that are physically clear and familiar to SEU researchers. As well as giving possible constraints, comparisons with data from the literature suggest it can be applied to SRAMs fabricated in bulk and silicon-on-insulator (SOI) processes across generations from the early 1000-nm-scale to the current 10-nm-scale technology nodes
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