Objective The aim of this study was to investigate macular perfusion changes and ganglion cell complex(GCC)loss in patients with unexplained visual loss following vitrectomy and silicone oil(SO)tamponade,and to evalua...Objective The aim of this study was to investigate macular perfusion changes and ganglion cell complex(GCC)loss in patients with unexplained visual loss following vitrectomy and silicone oil(SO)tamponade,and to evaluate the correlation between retinal blood flow and GCC loss using optical coherence tomography angiography(OCTA)and optical coherence tomography(OCT).Methods This retrospective study included seven eyes(seven patients)with unexpected visual loss after vitrectomy and SO tamponade.OCTA was used to evaluate the alterations in retinal vessel density(VD)in the superficial capillary plexus(SCP),deep capillary plexus(DCP),and radial peripapillary capillary plexus(RPCP).OCT was used to measure the thickness of GCC and retinal nerve fiber layer(RNFL).Medical records of patients were reviewed.Results Quantitative analysis of OCTA images revealed a significant reduction in SCP VD in the affected eyes compared with the controls(all sections P<0.05).No difference was found in GCC thickness,but FLV(focal loss volume)and GLV(global loss volume)were significantly higher in the affected eyes(both P<0.001).SCP VD was inversely correlated with FLV and GLV.Conclusions Silicone oil-related severe visual loss was associated with superficial retinal microvasculature damage and ganglion cell apoptosis.展开更多
Objective To develop a few-shot learning(FSL) approach for classifying optical coherence tomography(OCT) images in patients with inherited retinal disorders(IRDs).Methods In this study, an FSL model based on a student...Objective To develop a few-shot learning(FSL) approach for classifying optical coherence tomography(OCT) images in patients with inherited retinal disorders(IRDs).Methods In this study, an FSL model based on a student–teacher learning framework was designed to classify images. 2,317 images from 189 participants were included. Of these, 1,126 images revealed IRDs, 533 were normal samples, and 658 were control samples.Results The FSL model achieved a total accuracy of 0.974–0.983, total sensitivity of 0.934–0.957, total specificity of 0.984–0.990, and total F1 score of 0.935–0.957, which were superior to the total accuracy of the baseline model of 0.943–0.954, total sensitivity of 0.866–0.886, total specificity of 0.962–0.971,and total F1 score of 0.859–0.885. The performance of most subclassifications also exhibited advantages. Moreover, the FSL model had a higher area under curves(AUC) of the receiver operating characteristic(ROC) curves in most subclassifications.Conclusion This study demonstrates the effective use of the FSL model for the classification of OCT images from patients with IRDs, normal, and control participants with a smaller volume of data. The general principle and similar network architectures can also be applied to other retinal diseases with a low prevalence.展开更多
Leptospirosis,a major zoonotic disease widespread in the world,would infect humans and other animals by direct contacting with the soil or water contaminated by the pathogenic leptospires.This report analyzes the accu...Leptospirosis,a major zoonotic disease widespread in the world,would infect humans and other animals by direct contacting with the soil or water contaminated by the pathogenic leptospires.This report analyzes the accuracy of polymerase chain reaction(PCR)assay used in the detection of leptospira specific genes in humans.Seventeen published articles which included 2526 samples satisfied all inclusion standards and were applied to meta-analysis.Pooled sensitivity and specificity were 0.73(95%CI 0.70-0.76)and 0.94(95%CI 0.93-0.95),respectively.Heterogeneity was statistically significant among studies,but none of the sources for heterogeneity(disease stage,PCR type,targeted genes)could adequately interpret this finding.Meta-regression advised that real-time PCR(qPCR)targeted 16 s rRNA would be the best choice for early detection of cases during the acute stage of the disease and was accounted as a good screening tool in all stages of the disease.展开更多
在公路隧道爆破中,为了获得准确、真实的振动特征,基于鲁棒性局部均值分解(robust local mean decomposition,RLMD)和经验小波变换(empirical wavelet transform,EWT),建立了一种RLMD-EWT联合降噪方法。首先,将实测信号进行RLMD分解,得...在公路隧道爆破中,为了获得准确、真实的振动特征,基于鲁棒性局部均值分解(robust local mean decomposition,RLMD)和经验小波变换(empirical wavelet transform,EWT),建立了一种RLMD-EWT联合降噪方法。首先,将实测信号进行RLMD分解,得到若干乘积函数(product functions,PF)分量,结合相关系数和样本熵(sample entropy,SE)对PF分量进行分类,对含噪分量进行EWT分解,进而实现降噪目标。通过降噪效果对比,RLMD-EWT联合降噪方法具备可行性,相较LMD、EWT、RLMD和LMD-WT方法,表现出更优的降噪性能、更高的降噪效率和准确度。结合HHT频谱图,RLMD-EWT方法对于30~50 Hz、250 Hz以上2个频段的噪声可实现有效滤除,具备良好的信号适用度。展开更多
基金supported by Capital Medical University Affiliated Beijing Tongren Hospital Key Medical Development Plan[trzdyxzy201801].
文摘Objective The aim of this study was to investigate macular perfusion changes and ganglion cell complex(GCC)loss in patients with unexplained visual loss following vitrectomy and silicone oil(SO)tamponade,and to evaluate the correlation between retinal blood flow and GCC loss using optical coherence tomography angiography(OCTA)and optical coherence tomography(OCT).Methods This retrospective study included seven eyes(seven patients)with unexpected visual loss after vitrectomy and SO tamponade.OCTA was used to evaluate the alterations in retinal vessel density(VD)in the superficial capillary plexus(SCP),deep capillary plexus(DCP),and radial peripapillary capillary plexus(RPCP).OCT was used to measure the thickness of GCC and retinal nerve fiber layer(RNFL).Medical records of patients were reviewed.Results Quantitative analysis of OCTA images revealed a significant reduction in SCP VD in the affected eyes compared with the controls(all sections P<0.05).No difference was found in GCC thickness,but FLV(focal loss volume)and GLV(global loss volume)were significantly higher in the affected eyes(both P<0.001).SCP VD was inversely correlated with FLV and GLV.Conclusions Silicone oil-related severe visual loss was associated with superficial retinal microvasculature damage and ganglion cell apoptosis.
基金supported by National Natural Science Foundation of China [No.82171073]。
文摘Objective To develop a few-shot learning(FSL) approach for classifying optical coherence tomography(OCT) images in patients with inherited retinal disorders(IRDs).Methods In this study, an FSL model based on a student–teacher learning framework was designed to classify images. 2,317 images from 189 participants were included. Of these, 1,126 images revealed IRDs, 533 were normal samples, and 658 were control samples.Results The FSL model achieved a total accuracy of 0.974–0.983, total sensitivity of 0.934–0.957, total specificity of 0.984–0.990, and total F1 score of 0.935–0.957, which were superior to the total accuracy of the baseline model of 0.943–0.954, total sensitivity of 0.866–0.886, total specificity of 0.962–0.971,and total F1 score of 0.859–0.885. The performance of most subclassifications also exhibited advantages. Moreover, the FSL model had a higher area under curves(AUC) of the receiver operating characteristic(ROC) curves in most subclassifications.Conclusion This study demonstrates the effective use of the FSL model for the classification of OCT images from patients with IRDs, normal, and control participants with a smaller volume of data. The general principle and similar network architectures can also be applied to other retinal diseases with a low prevalence.
基金the National Natural Science Foundation of China(81271781)the Natural Science Foundation of Zhejiang Province(LY17H190002)the Higher Education Institutions of Gansu Province of China(2019B-230)。
文摘Leptospirosis,a major zoonotic disease widespread in the world,would infect humans and other animals by direct contacting with the soil or water contaminated by the pathogenic leptospires.This report analyzes the accuracy of polymerase chain reaction(PCR)assay used in the detection of leptospira specific genes in humans.Seventeen published articles which included 2526 samples satisfied all inclusion standards and were applied to meta-analysis.Pooled sensitivity and specificity were 0.73(95%CI 0.70-0.76)and 0.94(95%CI 0.93-0.95),respectively.Heterogeneity was statistically significant among studies,but none of the sources for heterogeneity(disease stage,PCR type,targeted genes)could adequately interpret this finding.Meta-regression advised that real-time PCR(qPCR)targeted 16 s rRNA would be the best choice for early detection of cases during the acute stage of the disease and was accounted as a good screening tool in all stages of the disease.
文摘在公路隧道爆破中,为了获得准确、真实的振动特征,基于鲁棒性局部均值分解(robust local mean decomposition,RLMD)和经验小波变换(empirical wavelet transform,EWT),建立了一种RLMD-EWT联合降噪方法。首先,将实测信号进行RLMD分解,得到若干乘积函数(product functions,PF)分量,结合相关系数和样本熵(sample entropy,SE)对PF分量进行分类,对含噪分量进行EWT分解,进而实现降噪目标。通过降噪效果对比,RLMD-EWT联合降噪方法具备可行性,相较LMD、EWT、RLMD和LMD-WT方法,表现出更优的降噪性能、更高的降噪效率和准确度。结合HHT频谱图,RLMD-EWT方法对于30~50 Hz、250 Hz以上2个频段的噪声可实现有效滤除,具备良好的信号适用度。
