Spinal fusion remains the gold-standard treatment for several pathological spine conditions. Although, autologous Iliac Crest Bone Grafting is considered the goldstandard graft choice to promote spinal fusion; however...Spinal fusion remains the gold-standard treatment for several pathological spine conditions. Although, autologous Iliac Crest Bone Grafting is considered the goldstandard graft choice to promote spinal fusion; however, it is associated with significant donor site morbidity and a limited graft quantity. Therefore, several bone graft alternatives have been developed, to augment arthrodesis. The purpose of this review is to present the results of clinical studies concerning the use of demineralized bone matrix(DBM), alone or as a composite graft, in the spinal fusion. A critical review of the English-language literature was conducted on Pubmed, using key word "demineralized bone matrix", "DBM", "spinal fusion", and "scoliosis". Results had been restricted to clinical studies. The majority of clinical trials demonstrate satisfactory fusion rates when DBM is employed as a graft extender or a graft enhancer.Limited number of prospective randomized controlled trials(4 studies), have been performed comparing DBM to autologous iliac crest bone graft in spine fusion. The majority of the clinical trials demonstrate comparable efficacy of DBM when it used as a graft extender in combination with autograft, but there is no clinical evidence to support its use as a standalone graft material. Additionally, high level of evidence studies are required, in order to optimize and clarify the indications of its use and the appropriate patient population that will benefit from DBM in spine arthrodesis.展开更多
The random noises of multi-sensor and the environment make observations uncertain and correlative, so the performance of fusion algorithms is reduced by using observations directly. To solve this problem, a multi-laye...The random noises of multi-sensor and the environment make observations uncertain and correlative, so the performance of fusion algorithms is reduced by using observations directly. To solve this problem, a multi-layer track fusion algorithm based on supporting degree matrix is proposed. Combined with the track fusion algorithm based on filtering step by step, it uses multi-sensor observations to establish supporting degree matrix and realize multi-layer fusion. Simulation results show its estimation precision is higher than the original algorithm and is increased by 20% around. Therefore, it solves the problem of target tracking further in the distributed track fusion system.展开更多
针对行人轨迹预测中存在的时序特征建模不足、多尺度融合缺乏明确区分以及多任务训练不稳定等问题,提出一种基于矩阵记忆长短期记忆网络(matrix long short-term memory, mLSTM)的纯时序预测算法。该算法构建以mLSTM为核心的编码器-解...针对行人轨迹预测中存在的时序特征建模不足、多尺度融合缺乏明确区分以及多任务训练不稳定等问题,提出一种基于矩阵记忆长短期记忆网络(matrix long short-term memory, mLSTM)的纯时序预测算法。该算法构建以mLSTM为核心的编码器-解码器架构,挖掘轨迹的时间依赖特征;设计多尺度轨迹特征融合模块,采用双向策略实现短期与长期特征的层次化表达;引入指数移动平均标准化的多任务机制,提升训练的稳定性与模型的泛化能力。在ETH和UCY数据集上的实验结果表明,该算法相较于Trajectory-Transformer和SGCN,在平均位移误差上分别降低14.81%和16.21%,在最终位移误差上分别降低19.66%和4.62%,展现出良好的预测精度与鲁棒性,为行人轨迹预测提供稳健有效的基础模型。展开更多
AIM To assess use of demineralized bone matrix(DBM) use in anterior cervical discectomy and fusion(ACDF) in outpatient setting.METHODS One hundred and forty-five patients with prospectively collected data undergoing s...AIM To assess use of demineralized bone matrix(DBM) use in anterior cervical discectomy and fusion(ACDF) in outpatient setting.METHODS One hundred and forty-five patients with prospectively collected data undergoing single and two level ACDF with DBM packed within and anterior to polyetheretherketone(PEEK) cages. Two groups created, Group 1(75) outpatients and control Group 2(70) hospital patients. Prevertebral soft tissue swelling(PVSTS) was measured anterior to C2 and C6 on plain lateral cervical radiographs preoperatively and one week postoperatively and fusion assessed at two years. RESULTS There was no intergroup significance between preoperative and postoperative visual analogue scales(VAS)and neck disability index(NDI) scores between Group 1 and 2. Mean preoperative PVSTS in Group 1 was 4.7 ± 0.2 mm at C2 level and 11.1 ± 0.5 at C6 level compared to Group 2 mean PVSTS of 4.5 ± 0.5 mm and 12.8 ± 0.5, P = 0.172 and 0.127 respectively. There was no radiographic or clinical evidence of adverse reaction noted. In Group 1 mean postoperative PVSTS was 5.5 ± 0.4 mm at C2 and 14.9 ± 0.6 mm at C6 compared Group 2 mean PVSTS was 4.9 ± 0.3 mm at C2 and 14.8 ± 0.5 mm at C6, P = 0.212 and 0.946 respectively. No significant increase in prevertebral soft tissue space at C2 and C6 level demonstrated.CONCLUSION ACDF with adjunct DBM packed PEEK cages showed a statistical significant intragroup improvement in VAS neck pain scores and NDI scores(P = 0.001). There were no reported serious patient complications; post-operative radiographs demonstrated no significant difference in prevertebral space. We conclude that ACDF with DBMpacked PEEK cages can be safely done in an ASC with satisfactory outcomes.展开更多
This paper reports the results of 24 cases of bone defect resulting from bone tumor or tumor condition excision, and of posterior spinal fusion, treated by human bone matrix gelatin. The success rate of bone defect re...This paper reports the results of 24 cases of bone defect resulting from bone tumor or tumor condition excision, and of posterior spinal fusion, treated by human bone matrix gelatin. The success rate of bone defect repair and spinal fusion is 91. 67 %. The results suggest that human bone matrix gelatin has. excellent osteoinductive effect and is ideal substitute for bone autografts.展开更多
针对传统卷积神经网络对微小热斑区域特征表达能力不足进而导致整体识别准确率下降的问题,提出了一种基于拓扑特征与纹理特征的图像重构(Image reconstruction based on topological and textural features,IR-TTF)算法。首先,将灰度化...针对传统卷积神经网络对微小热斑区域特征表达能力不足进而导致整体识别准确率下降的问题,提出了一种基于拓扑特征与纹理特征的图像重构(Image reconstruction based on topological and textural features,IR-TTF)算法。首先,将灰度化光伏红外热斑图像划分为多个互不重叠子区域。针对每一个子区域,利用持久同调提取增强的持久性条形码信息作为拓扑特征;同时利用灰度共生矩阵计算并放大对比度、同质性及能量特征作为纹理特征。最终,融合多个子区域的拓扑、纹理及灰度特征完成基于拓扑特征与纹理特征图像重构,进而构建新数据集,实现微小特征的增强表达。为验证IR-TTF算法有效性,利用3种对比卷积神经网络模型对重构数据集进行分类识别对比实验。实验表明,融合拓扑、纹理及灰度特征的数据集在3种卷积神经网络的平均识别准确率达到98%,较原数据集提高2.40%,较仅融合拓扑、灰度特征的数据集提高1.33%,从而验证了IR-TTF算法的有效性。展开更多
文摘Spinal fusion remains the gold-standard treatment for several pathological spine conditions. Although, autologous Iliac Crest Bone Grafting is considered the goldstandard graft choice to promote spinal fusion; however, it is associated with significant donor site morbidity and a limited graft quantity. Therefore, several bone graft alternatives have been developed, to augment arthrodesis. The purpose of this review is to present the results of clinical studies concerning the use of demineralized bone matrix(DBM), alone or as a composite graft, in the spinal fusion. A critical review of the English-language literature was conducted on Pubmed, using key word "demineralized bone matrix", "DBM", "spinal fusion", and "scoliosis". Results had been restricted to clinical studies. The majority of clinical trials demonstrate satisfactory fusion rates when DBM is employed as a graft extender or a graft enhancer.Limited number of prospective randomized controlled trials(4 studies), have been performed comparing DBM to autologous iliac crest bone graft in spine fusion. The majority of the clinical trials demonstrate comparable efficacy of DBM when it used as a graft extender in combination with autograft, but there is no clinical evidence to support its use as a standalone graft material. Additionally, high level of evidence studies are required, in order to optimize and clarify the indications of its use and the appropriate patient population that will benefit from DBM in spine arthrodesis.
基金Supported by the Aviation Science Funds (20090580013)the Fundamental Research Funds for the Central Universities (ZYGX2009J092)
文摘The random noises of multi-sensor and the environment make observations uncertain and correlative, so the performance of fusion algorithms is reduced by using observations directly. To solve this problem, a multi-layer track fusion algorithm based on supporting degree matrix is proposed. Combined with the track fusion algorithm based on filtering step by step, it uses multi-sensor observations to establish supporting degree matrix and realize multi-layer fusion. Simulation results show its estimation precision is higher than the original algorithm and is increased by 20% around. Therefore, it solves the problem of target tracking further in the distributed track fusion system.
文摘基于广义约化R矩阵理论,使用RAC程序(R-matrix analysis code)综合分析了^(6)He系统中所有可以利用的实验数据,给出了氚核入射10-2—20 MeV能量范围内主要反应道的评价核数据.其中积分截面包括T(t,2n)^(4)He,T(t,n)^(5)He,T(t,d)^(4)H;微分截面包括T(t,2n)^(4)He,T(t,n)^(5)He,T(t,d)^(4)H,T(t,t)T.结果表明,RAC的评价结果与实验数据和ENDF/B-Ⅷ.1的评价数据整体符合良好.重点关注T(t,2n)^(4)He反应,评价值在10^(-2)—20 MeV范围内与已有实验数据一致,在2.9 Me V附近出现由2+能级主导的共振,在1.9 Me V处,已有实验同时测量了积分截面和角分布,本工作的评价结果在两类数据上均表现出良好的一致性,积分截面与微分截面的联合约束有效提升了R矩阵参数的稳定性和评价结果的可靠性.基于6He系统的整体评价,进一步补充了T(t,n)^(5)He和T(t,d)^(4)H反应的截面数据.本工作完善了聚变反应相关的数据基础,并为后续与镜像系统6Be系统的联合分析奠定了基础.
文摘针对行人轨迹预测中存在的时序特征建模不足、多尺度融合缺乏明确区分以及多任务训练不稳定等问题,提出一种基于矩阵记忆长短期记忆网络(matrix long short-term memory, mLSTM)的纯时序预测算法。该算法构建以mLSTM为核心的编码器-解码器架构,挖掘轨迹的时间依赖特征;设计多尺度轨迹特征融合模块,采用双向策略实现短期与长期特征的层次化表达;引入指数移动平均标准化的多任务机制,提升训练的稳定性与模型的泛化能力。在ETH和UCY数据集上的实验结果表明,该算法相较于Trajectory-Transformer和SGCN,在平均位移误差上分别降低14.81%和16.21%,在最终位移误差上分别降低19.66%和4.62%,展现出良好的预测精度与鲁棒性,为行人轨迹预测提供稳健有效的基础模型。
文摘AIM To assess use of demineralized bone matrix(DBM) use in anterior cervical discectomy and fusion(ACDF) in outpatient setting.METHODS One hundred and forty-five patients with prospectively collected data undergoing single and two level ACDF with DBM packed within and anterior to polyetheretherketone(PEEK) cages. Two groups created, Group 1(75) outpatients and control Group 2(70) hospital patients. Prevertebral soft tissue swelling(PVSTS) was measured anterior to C2 and C6 on plain lateral cervical radiographs preoperatively and one week postoperatively and fusion assessed at two years. RESULTS There was no intergroup significance between preoperative and postoperative visual analogue scales(VAS)and neck disability index(NDI) scores between Group 1 and 2. Mean preoperative PVSTS in Group 1 was 4.7 ± 0.2 mm at C2 level and 11.1 ± 0.5 at C6 level compared to Group 2 mean PVSTS of 4.5 ± 0.5 mm and 12.8 ± 0.5, P = 0.172 and 0.127 respectively. There was no radiographic or clinical evidence of adverse reaction noted. In Group 1 mean postoperative PVSTS was 5.5 ± 0.4 mm at C2 and 14.9 ± 0.6 mm at C6 compared Group 2 mean PVSTS was 4.9 ± 0.3 mm at C2 and 14.8 ± 0.5 mm at C6, P = 0.212 and 0.946 respectively. No significant increase in prevertebral soft tissue space at C2 and C6 level demonstrated.CONCLUSION ACDF with adjunct DBM packed PEEK cages showed a statistical significant intragroup improvement in VAS neck pain scores and NDI scores(P = 0.001). There were no reported serious patient complications; post-operative radiographs demonstrated no significant difference in prevertebral space. We conclude that ACDF with DBMpacked PEEK cages can be safely done in an ASC with satisfactory outcomes.
文摘This paper reports the results of 24 cases of bone defect resulting from bone tumor or tumor condition excision, and of posterior spinal fusion, treated by human bone matrix gelatin. The success rate of bone defect repair and spinal fusion is 91. 67 %. The results suggest that human bone matrix gelatin has. excellent osteoinductive effect and is ideal substitute for bone autografts.
文摘针对传统卷积神经网络对微小热斑区域特征表达能力不足进而导致整体识别准确率下降的问题,提出了一种基于拓扑特征与纹理特征的图像重构(Image reconstruction based on topological and textural features,IR-TTF)算法。首先,将灰度化光伏红外热斑图像划分为多个互不重叠子区域。针对每一个子区域,利用持久同调提取增强的持久性条形码信息作为拓扑特征;同时利用灰度共生矩阵计算并放大对比度、同质性及能量特征作为纹理特征。最终,融合多个子区域的拓扑、纹理及灰度特征完成基于拓扑特征与纹理特征图像重构,进而构建新数据集,实现微小特征的增强表达。为验证IR-TTF算法有效性,利用3种对比卷积神经网络模型对重构数据集进行分类识别对比实验。实验表明,融合拓扑、纹理及灰度特征的数据集在3种卷积神经网络的平均识别准确率达到98%,较原数据集提高2.40%,较仅融合拓扑、灰度特征的数据集提高1.33%,从而验证了IR-TTF算法的有效性。
