目的:评估甲状腺相关眼病(thyroid-associated ophthalmopathy,TAO)在糖皮质激素脉冲治疗后眼部各参数的变化,初步探讨MRI眼肌结构量化评估在糖皮质激素脉冲治疗TAO疗效评估中的价值。方法:对18例活动性TAO病例在甲基强的松龙治疗前后...目的:评估甲状腺相关眼病(thyroid-associated ophthalmopathy,TAO)在糖皮质激素脉冲治疗后眼部各参数的变化,初步探讨MRI眼肌结构量化评估在糖皮质激素脉冲治疗TAO疗效评估中的价值。方法:对18例活动性TAO病例在甲基强的松龙治疗前后分别行3.0 T MR眼眶扫描,分别测量眼球突出度、眼球内侧脂肪厚度、最高信号强度眼外肌厚度、眼外肌最高信号强度与同侧颞肌最高信号强度的信号强度比(signal intensity ratio,SIR)。通过配对t检验对比甲基强的松龙治疗前后各参数的变化。结果:标准化糖皮质激素脉冲治疗后,患者突眼度、眼眶内侧脂肪厚度下降不明显;但眼外肌/颞肌SIR、最高信号强度眼外肌厚度、临床活动性评分(clinical active score,CAS)明显下降。结论:糖皮质激素治疗可降低TAO患者眼外肌/颞肌SIR和眼外肌厚度,MRI眼肌结构量化评估技术可辅助TAO的疗效评估。展开更多
An efficient and accurate prediction of a precise tidal level in estuaries and coastal areas is indispensable for the management and decision-making of human activity in the field wok of marine engineering. The variat...An efficient and accurate prediction of a precise tidal level in estuaries and coastal areas is indispensable for the management and decision-making of human activity in the field wok of marine engineering. The variation of the tidal level is a time-varying process. The time-varying factors including interference from the external environment that cause the change of tides are fairly complicated. Furthermore, tidal variations are affected not only by periodic movement of celestial bodies but also by time-varying interference from the external environment. Consequently, for the efficient and precise tidal level prediction, a neuro-fuzzy hybrid technology based on the combination of harmonic analysis and adaptive network-based fuzzy inference system（ANFIS）model is utilized to construct a precise tidal level prediction system, which takes both advantages of the harmonic analysis method and the ANFIS network. The proposed prediction model is composed of two modules： the astronomical tide module caused by celestial bodies’ movement and the non-astronomical tide module caused by various meteorological and other environmental factors. To generate a fuzzy inference system（FIS） structure,three approaches which include grid partition（GP）, fuzzy c-means（FCM） and sub-clustering（SC） are used in the ANFIS network constructing process. Furthermore, to obtain the optimal ANFIS based prediction model, large numbers of simulation experiments are implemented for each FIS generating approach. In this tidal prediction study, the optimal ANFIS model is used to predict the non-astronomical tide module, while the conventional harmonic analysis model is used to predict the astronomical tide module. The final prediction result is performed by combining the estimation outputs of the harmonious analysis model and the optimal ANFIS model. To demonstrate the applicability and capability of the proposed novel prediction model, measured tidal level samples of Fort Pulaski tidal station are selected as the testing database. Simulation and experimental results confirm that the proposed prediction approach can achieve precise predictions for the tidal level with high accuracy, satisfactory convergence and stability.展开更多
文摘目的:评估甲状腺相关眼病(thyroid-associated ophthalmopathy,TAO)在糖皮质激素脉冲治疗后眼部各参数的变化,初步探讨MRI眼肌结构量化评估在糖皮质激素脉冲治疗TAO疗效评估中的价值。方法:对18例活动性TAO病例在甲基强的松龙治疗前后分别行3.0 T MR眼眶扫描,分别测量眼球突出度、眼球内侧脂肪厚度、最高信号强度眼外肌厚度、眼外肌最高信号强度与同侧颞肌最高信号强度的信号强度比(signal intensity ratio,SIR)。通过配对t检验对比甲基强的松龙治疗前后各参数的变化。结果:标准化糖皮质激素脉冲治疗后,患者突眼度、眼眶内侧脂肪厚度下降不明显;但眼外肌/颞肌SIR、最高信号强度眼外肌厚度、临床活动性评分(clinical active score,CAS)明显下降。结论:糖皮质激素治疗可降低TAO患者眼外肌/颞肌SIR和眼外肌厚度,MRI眼肌结构量化评估技术可辅助TAO的疗效评估。
基金The National Natural Science Foundation of China under contract No.51379002the Fundamental Research Funds for the Central Universities of China under contract Nos 3132016322 and 3132016314the Applied Basic Research Project Fund of the Chinese Ministry of Transport of China under contract No.2014329225010
文摘An efficient and accurate prediction of a precise tidal level in estuaries and coastal areas is indispensable for the management and decision-making of human activity in the field wok of marine engineering. The variation of the tidal level is a time-varying process. The time-varying factors including interference from the external environment that cause the change of tides are fairly complicated. Furthermore, tidal variations are affected not only by periodic movement of celestial bodies but also by time-varying interference from the external environment. Consequently, for the efficient and precise tidal level prediction, a neuro-fuzzy hybrid technology based on the combination of harmonic analysis and adaptive network-based fuzzy inference system（ANFIS）model is utilized to construct a precise tidal level prediction system, which takes both advantages of the harmonic analysis method and the ANFIS network. The proposed prediction model is composed of two modules： the astronomical tide module caused by celestial bodies’ movement and the non-astronomical tide module caused by various meteorological and other environmental factors. To generate a fuzzy inference system（FIS） structure,three approaches which include grid partition（GP）, fuzzy c-means（FCM） and sub-clustering（SC） are used in the ANFIS network constructing process. Furthermore, to obtain the optimal ANFIS based prediction model, large numbers of simulation experiments are implemented for each FIS generating approach. In this tidal prediction study, the optimal ANFIS model is used to predict the non-astronomical tide module, while the conventional harmonic analysis model is used to predict the astronomical tide module. The final prediction result is performed by combining the estimation outputs of the harmonious analysis model and the optimal ANFIS model. To demonstrate the applicability and capability of the proposed novel prediction model, measured tidal level samples of Fort Pulaski tidal station are selected as the testing database. Simulation and experimental results confirm that the proposed prediction approach can achieve precise predictions for the tidal level with high accuracy, satisfactory convergence and stability.
