目的探讨术前MRI提示前交叉韧带信号异常的患者行内侧活动平台膝关节单髁置换术(unicompartmental knee arthroplasty,UKA)的临床疗效。方法回顾性分析苏州市立医院关节外科2019年1月至2021年12月收治的采用UKA治疗膝骨关节炎患者资料6...目的探讨术前MRI提示前交叉韧带信号异常的患者行内侧活动平台膝关节单髁置换术(unicompartmental knee arthroplasty,UKA)的临床疗效。方法回顾性分析苏州市立医院关节外科2019年1月至2021年12月收治的采用UKA治疗膝骨关节炎患者资料61例。61例患者术前MRI中30膝ACL正常,31膝ACL异常,分为ACL-MRI正常组,ACL-MRI异常组。ACL-MRI正常组30例,男9例,女21例;年龄67~85岁,平均(72.03±1.57)岁;左膝15例,右膝15例。ACL-MRI异常组31例,男11例,女20例;年龄65~80岁,平均(71.87±1.37)岁;左膝14例,右膝17例。两组采用美国特种外科医院(hospital for special surgery,HSS)膝关节评分、疼痛视觉模拟评分(visual analogue scale,VAS)、膝关节活动度(range of motion,ROM)对术前及末次随访时膝关节状态进行评估,观察两组术后膝关节假体松动、感染、垫片移位及磨损等情况,并记录术后并发症。结果61例患者均获得随访,随访时间22~24个月,平均(23.86±0.57)个月。两组术后膝关节HSS评分、ROM、VAS评分较术前均有明显改善,差异有统计学意义(P<0.05);两组术后膝关节HSS评分、ROM、VAS评分比较,差异无统计学意义(P>0.05)。两组术后均未出现假体感染或松动、垫片移位、深静脉血栓等并发症。结论术前MRI中ACL表现异常但术中探查功能性完好的患者行UKA短期临床疗效满意,但长期结果还需要进一步随访研究。展开更多
The contribution rate of equipment system-of-systems architecture(ESoSA)is an important index to evaluate the equipment update,development,and architecture optimization.Since the traditional ESoSA contribution rate ev...The contribution rate of equipment system-of-systems architecture(ESoSA)is an important index to evaluate the equipment update,development,and architecture optimization.Since the traditional ESoSA contribution rate evaluation method does not make full use of the fuzzy information and uncertain information in the equipment system-of-systems(ESoS),and the Bayesian network is an effective tool to solve the uncertain information,a new ESoSA contribution rate evaluation method based on the fuzzy Bayesian network(FBN)is proposed.Firstly,based on the operation loop theory,an ESoSA is constructed considering three aspects:reconnaissance equipment,decision equipment,and strike equipment.Next,the fuzzy set theory is introduced to construct the FBN of ESoSA to deal with fuzzy information and uncertain information.Furthermore,the fuzzy importance index of the root node of the FBN is used to calculate the contribution rate of the ESoSA,and the ESoSA contribution rate evaluation model based on the root node fuzzy importance is established.Finally,the feasibility and rationality of this method are validated via an empirical case study of aviation ESoSA.Compared with traditional methods,the evaluation method based on FBN takes various failure states of equipment into consideration,is free of acquiring accurate probability of traditional equipment failure,and models the uncertainty of the relationship between equipment.The proposed method not only supplements and improves the ESoSA contribution rate assessment method,but also broadens the application scope of the Bayesian network.展开更多
文摘目的探讨术前MRI提示前交叉韧带信号异常的患者行内侧活动平台膝关节单髁置换术(unicompartmental knee arthroplasty,UKA)的临床疗效。方法回顾性分析苏州市立医院关节外科2019年1月至2021年12月收治的采用UKA治疗膝骨关节炎患者资料61例。61例患者术前MRI中30膝ACL正常,31膝ACL异常,分为ACL-MRI正常组,ACL-MRI异常组。ACL-MRI正常组30例,男9例,女21例;年龄67~85岁,平均(72.03±1.57)岁;左膝15例,右膝15例。ACL-MRI异常组31例,男11例,女20例;年龄65~80岁,平均(71.87±1.37)岁;左膝14例,右膝17例。两组采用美国特种外科医院(hospital for special surgery,HSS)膝关节评分、疼痛视觉模拟评分(visual analogue scale,VAS)、膝关节活动度(range of motion,ROM)对术前及末次随访时膝关节状态进行评估,观察两组术后膝关节假体松动、感染、垫片移位及磨损等情况,并记录术后并发症。结果61例患者均获得随访,随访时间22~24个月,平均(23.86±0.57)个月。两组术后膝关节HSS评分、ROM、VAS评分较术前均有明显改善,差异有统计学意义(P<0.05);两组术后膝关节HSS评分、ROM、VAS评分比较,差异无统计学意义(P>0.05)。两组术后均未出现假体感染或松动、垫片移位、深静脉血栓等并发症。结论术前MRI中ACL表现异常但术中探查功能性完好的患者行UKA短期临床疗效满意,但长期结果还需要进一步随访研究。
基金supported by the National Key Research and Development Project(2018YFB1700802)the National Natural Science Foundation of China(72071206)the Science and Technology Innovation Plan of Hunan Province(2020RC4046).
文摘The contribution rate of equipment system-of-systems architecture(ESoSA)is an important index to evaluate the equipment update,development,and architecture optimization.Since the traditional ESoSA contribution rate evaluation method does not make full use of the fuzzy information and uncertain information in the equipment system-of-systems(ESoS),and the Bayesian network is an effective tool to solve the uncertain information,a new ESoSA contribution rate evaluation method based on the fuzzy Bayesian network(FBN)is proposed.Firstly,based on the operation loop theory,an ESoSA is constructed considering three aspects:reconnaissance equipment,decision equipment,and strike equipment.Next,the fuzzy set theory is introduced to construct the FBN of ESoSA to deal with fuzzy information and uncertain information.Furthermore,the fuzzy importance index of the root node of the FBN is used to calculate the contribution rate of the ESoSA,and the ESoSA contribution rate evaluation model based on the root node fuzzy importance is established.Finally,the feasibility and rationality of this method are validated via an empirical case study of aviation ESoSA.Compared with traditional methods,the evaluation method based on FBN takes various failure states of equipment into consideration,is free of acquiring accurate probability of traditional equipment failure,and models the uncertainty of the relationship between equipment.The proposed method not only supplements and improves the ESoSA contribution rate assessment method,but also broadens the application scope of the Bayesian network.
