背景:腰椎后路椎弓根螺钉内固定已成为腰椎压缩性骨折常见的治疗方式之一,传统手术切开行椎弓根螺钉内固定通常产生较多局部肌肉组织的损伤,在微创下进行腰椎内固定是脊柱微创外科的一大进展。目的:探讨经皮微创Sextant内固定系统修复...背景:腰椎后路椎弓根螺钉内固定已成为腰椎压缩性骨折常见的治疗方式之一,传统手术切开行椎弓根螺钉内固定通常产生较多局部肌肉组织的损伤,在微创下进行腰椎内固定是脊柱微创外科的一大进展。目的:探讨经皮微创Sextant内固定系统修复腰椎骨折的临床效果,对比观察内固定前后患者目测类比评分、伤椎前后缘高度比以及脊柱后凸Cobb角变化。方法:选择58例腰椎压缩骨折患者资料进行回顾性分析。所有病例均由同一高年资骨科副主任医师(第二作者)于2008年1月至2013年12月在成都市第一人民医院骨科完成。均行经后路腰椎Sextant系统内固定。主要观察术中失血量,内固定前后目测类比评分、伤椎前后缘高度比以及脊柱后凸Cobb角变化。结果与结论:术中平均出血量40 m L,内固定后平均引流量80 m L,内固定后患者腰背部疼痛明显缓解(P<0.01),平均卧床2周即可下地行早期功能康复锻炼。内固定后伤椎前后缘高度比及后凸Cobb角均较内固定前有明显改善(P<0.05),未出现螺钉松动、断裂。说明经后路腰椎Sextant系统内固定修复腰椎压缩性骨折,能够较好的恢复椎体前缘高度、矫正脊柱后凸,并且失血量少,内固定后疼痛症状轻,便于患者术后早期功能锻炼。展开更多
Hepatocellular carcinoma(HCC)is one of the most common malignancies in the world and it is one of the main complications of cirrhosis and portal hypertension.Even in the presence of a well-established follow-up protoc...Hepatocellular carcinoma(HCC)is one of the most common malignancies in the world and it is one of the main complications of cirrhosis and portal hypertension.Even in the presence of a well-established follow-up protocol for cirrhotic patients,to date poor data are available on predictive markers for primary HCC occurrence in the setting of compensated advanced chronic liver disease patients(cACLD).The gold standard method to evaluate the prognosis of patients with cACLD,beyond liver fibrosis assessed with histology,is the measurement of the hepatic venous pressure gradient(HVPG).An HVPG≥10 mmHg has been related to an increased risk of HCC in cACLD patients.However,these methods are burdened by additional costs and risks for patients and are mostly available only in referral centers.In the last decade increasing research has focused on the evaluation of several,simple,non-invasive tests(NITs)as predictors of HCC development.We reviewed the currently available literature on biochemical and ultrasound-based scores developed for the noninvasive evaluation of liver fibrosis and portal hypertension in predicting primary HCC.We found that the most reliable methods to assess HCC risk were the liver stiffness measurement,the aspartate aminotransferase to platelet ratio index score and the fibrosis-4 index.Other promising NITs need further investigations and validation for different liver disease aetiologies.展开更多
BACKGROUND Acute bleeding due to esophageal varices(EVs)is a life-threatening complication in patients with cirrhosis.The diagnosis of EVs is mainly through upper gastrointestinal endoscopy,but the discomfort,contrain...BACKGROUND Acute bleeding due to esophageal varices(EVs)is a life-threatening complication in patients with cirrhosis.The diagnosis of EVs is mainly through upper gastrointestinal endoscopy,but the discomfort,contraindications and complications of gastrointestinal endoscopic screening reduce patient compliance.According to the bleeding risk of EVs,the Baveno VI consensus divides varices into high bleeding risk EVs(HEVs)and low bleeding risk EVs(LEVs).We sought to identify a non-invasive prediction model based on spleen stiffness measurement(SSM)and liver stiffness measurement(LSM)as an alternative to EVs screening.AIM To develop a safe,simple and non-invasive model to predict HEVs in patients with viral cirrhosis and identify patients who can be exempted from upper gastrointestinal endoscopy.METHODS Data from 200 patients with viral cirrhosis were included in this study,with 140 patients as the modelling group and 60 patients as the external validation group,and the EVs types of patients were determined by upper gastrointestinal endoscopy and the Baveno Ⅵ consensus.Those patients were divided into the HEVs group(66 patients)and the LEVs group(74 patients).The effect of each parameter on HEVs was analyzed by univariate and multivariate analyses,and a noninvasive prediction model was established.Finally,the discrimination ability,calibration ability and clinical efficacy of the new model were verified in the modelling group and the external validation group.RESULTS Univariate and multivariate analyses showed that SSM and LSM were associated with the occurrence of HEVs in patients with viral cirrhosis.On this basis,logistic regression analysis was used to construct a prediction model:Ln[P/(1-P)]=-8.184-0.228×SSM+0.642×LSM.The area under the curve of the new model was 0.965.When the cut-off value was 0.27,the sensitivity,specificity,positive predictive value and negative predictive value of the model for predicting HEVs were 100.00%,82.43%,83.52%,and 100%,respectively.Compared with the four prediction models of l展开更多
predicting high-risk esophageal varices based on liver and spleen stiffness".Acute bleeding caused by esophageal varices is a life-threatening complication in patients with liver cirrhosis.Due to the discomfort,c...predicting high-risk esophageal varices based on liver and spleen stiffness".Acute bleeding caused by esophageal varices is a life-threatening complication in patients with liver cirrhosis.Due to the discomfort,contraindications,and associated complications of upper gastrointestinal endoscopy screening,it is crucial to identify an imaging-based non-invasive model for predicting high-risk esophageal varices in patients with cirrhosis.展开更多
The principle of the technique of microscope laser light scattering spectroscopy, its development and applications to the studies on single intact cells, including our work on non-invasive in situ real time measuremen...The principle of the technique of microscope laser light scattering spectroscopy, its development and applications to the studies on single intact cells, including our work on non-invasive in situ real time measurements on single intact erythrocyte simultaneously at the levels of cellular, sub-cellular and intracellular molecules, are introduced.展开更多
The optimum rate and application timing of Nitrogen(N)fertilizer are crucial in achieving a high yield in rice cultivation;however,conventional laboratory testing of plant nutrients is time-consuming and expensive.To ...The optimum rate and application timing of Nitrogen(N)fertilizer are crucial in achieving a high yield in rice cultivation;however,conventional laboratory testing of plant nutrients is time-consuming and expensive.To develop a site-specific spatial variable rate application method to overcome the limitations of traditional techniques,especially in fields under a double-cropping system,this study focused on the relationship between Soil Plant Analysis Development(SPAD)chlorophyll meter readings and N content in leaves during different growth stages to introduce the most suitable stage for assessment of crop N and prediction of rice yield.The SPAD readings and leaf N content were measured on the uppermost fully expanded leaf at panicle formation and booting stages.Grain yield was also measured at the end of the season.The analysis of variance,variogram,and kriging were calculated to determine the variability of attributes and their relationship,and finally,variability maps were created.Significant linear relationships were observed between attributes,with the same trends in different sampling dates;however,accuracy of semivariance estimation reduces with the growth stage.Results of the study also implied that there was a better relationship between rice leaf N content(R^2=0.93),as well as yield(R2=0.81),with SPAD readings at the panicle formation stage.Therefore,the SPAD-based evaluation of N status and prediction of rice yield is more reliable on this stage rather than at the booting stage.This study proved that the application of SPAD chlorophyll meter paves the way for real-time paddy N management and grain yield estimation.It can be reliably exploited in precision agriculture of paddy fields under double-cropping cultivation to understand and control spatial variations.展开更多
This study proposed a measurement platform for continuous blood pressure estimation based on dual photoplethysmography(PPG)sensors and a deep learning(DL)that can be used for continuous and rapid measurement of blood ...This study proposed a measurement platform for continuous blood pressure estimation based on dual photoplethysmography(PPG)sensors and a deep learning(DL)that can be used for continuous and rapid measurement of blood pressure and analysis of cardiovascular-related indicators.The proposed platform measured the signal changes in PPG and converted them into physiological indicators,such as pulse transit time(PTT),pulse wave velocity(PWV),perfusion index(PI)and heart rate(HR);these indicators were then fed into the DL to calculate blood pressure.The hardware of the experiment comprised 2 PPG components(i.e.,Raspberry Pi 3 Model B and analog-todigital converter[MCP3008]),which were connected using a serial peripheral interface.The DL algorithm converted the stable dual PPG signals acquired from the strictly standardized experimental process into various physiological indicators as input parameters and finally obtained the systolic blood pressure(SBP),diastolic blood pressure(DBP)and mean arterial pressure(MAP).To increase the robustness of the DL model,this study input data of 100 Asian participants into the training database,including those with and without cardiovascular disease,each with a proportion of approximately 50%.The experimental results revealed that the mean absolute error and standard deviation of SBP was 0.17±0.46 mmHg.The mean absolute error and standard deviation of DBP was 0.27±0.52 mmHg.The mean absolute error and standard deviation of MAP was 0.16±0.40 mmHg.展开更多
A new non-invasive blood glucose measuring apparatus (NBGMA) made up of MSP430F149 SCM (single chip micyoco) was developed,which can measure blood glucose level (BGL) frequently,conveniently and painlessly. The hardwa...A new non-invasive blood glucose measuring apparatus (NBGMA) made up of MSP430F149 SCM (single chip micyoco) was developed,which can measure blood glucose level (BGL) frequently,conveniently and painlessly. The hardware and software of this apparatus were designed,and detecting algorithms based on conservation of energy method (COEM) were presented. According to the law of conservation of energy that the energy derived by human body equals energy consumed by metabolism,and the relationship between convection,evaporation,radiation and the BGL was established. The sensor module was designed. 20 healthy volunteers were involved in the clinical experiment. The BGL measured by an automatic biochemical analyzer (ABA) was set as the reference. Regression analysis was performed to compare the conservation of energy method with the biochemical method,using the 20 data points with blood glucose concentrations ranging from 680 to 1 100 mg/L. Reproducibility was measured for healthy fasting volunteers. The results show that the means of BGL detected by NBGMA and ANA are very close to each other,and the difference of standard deviation (SD) is 24.7 mg/L. The correlative coefficient is 0.807. The coefficient of variation (CV) is 4% at 921.6 mg/L. The resultant regression is evaluated by the Clarke error grid analysis (EGA) and all data points are included in the clinically acceptable regions (region A:100%,region B:0%). Accordingly,it is feasible to measure BGL with COEM.展开更多
文摘背景:腰椎后路椎弓根螺钉内固定已成为腰椎压缩性骨折常见的治疗方式之一,传统手术切开行椎弓根螺钉内固定通常产生较多局部肌肉组织的损伤,在微创下进行腰椎内固定是脊柱微创外科的一大进展。目的:探讨经皮微创Sextant内固定系统修复腰椎骨折的临床效果,对比观察内固定前后患者目测类比评分、伤椎前后缘高度比以及脊柱后凸Cobb角变化。方法:选择58例腰椎压缩骨折患者资料进行回顾性分析。所有病例均由同一高年资骨科副主任医师(第二作者)于2008年1月至2013年12月在成都市第一人民医院骨科完成。均行经后路腰椎Sextant系统内固定。主要观察术中失血量,内固定前后目测类比评分、伤椎前后缘高度比以及脊柱后凸Cobb角变化。结果与结论:术中平均出血量40 m L,内固定后平均引流量80 m L,内固定后患者腰背部疼痛明显缓解(P<0.01),平均卧床2周即可下地行早期功能康复锻炼。内固定后伤椎前后缘高度比及后凸Cobb角均较内固定前有明显改善(P<0.05),未出现螺钉松动、断裂。说明经后路腰椎Sextant系统内固定修复腰椎压缩性骨折,能够较好的恢复椎体前缘高度、矫正脊柱后凸,并且失血量少,内固定后疼痛症状轻,便于患者术后早期功能锻炼。
文摘Hepatocellular carcinoma(HCC)is one of the most common malignancies in the world and it is one of the main complications of cirrhosis and portal hypertension.Even in the presence of a well-established follow-up protocol for cirrhotic patients,to date poor data are available on predictive markers for primary HCC occurrence in the setting of compensated advanced chronic liver disease patients(cACLD).The gold standard method to evaluate the prognosis of patients with cACLD,beyond liver fibrosis assessed with histology,is the measurement of the hepatic venous pressure gradient(HVPG).An HVPG≥10 mmHg has been related to an increased risk of HCC in cACLD patients.However,these methods are burdened by additional costs and risks for patients and are mostly available only in referral centers.In the last decade increasing research has focused on the evaluation of several,simple,non-invasive tests(NITs)as predictors of HCC development.We reviewed the currently available literature on biochemical and ultrasound-based scores developed for the noninvasive evaluation of liver fibrosis and portal hypertension in predicting primary HCC.We found that the most reliable methods to assess HCC risk were the liver stiffness measurement,the aspartate aminotransferase to platelet ratio index score and the fibrosis-4 index.Other promising NITs need further investigations and validation for different liver disease aetiologies.
基金Supported by the Shaanxi Provincial Key Research and Development Plan,No.2020SF-159.
文摘BACKGROUND Acute bleeding due to esophageal varices(EVs)is a life-threatening complication in patients with cirrhosis.The diagnosis of EVs is mainly through upper gastrointestinal endoscopy,but the discomfort,contraindications and complications of gastrointestinal endoscopic screening reduce patient compliance.According to the bleeding risk of EVs,the Baveno VI consensus divides varices into high bleeding risk EVs(HEVs)and low bleeding risk EVs(LEVs).We sought to identify a non-invasive prediction model based on spleen stiffness measurement(SSM)and liver stiffness measurement(LSM)as an alternative to EVs screening.AIM To develop a safe,simple and non-invasive model to predict HEVs in patients with viral cirrhosis and identify patients who can be exempted from upper gastrointestinal endoscopy.METHODS Data from 200 patients with viral cirrhosis were included in this study,with 140 patients as the modelling group and 60 patients as the external validation group,and the EVs types of patients were determined by upper gastrointestinal endoscopy and the Baveno Ⅵ consensus.Those patients were divided into the HEVs group(66 patients)and the LEVs group(74 patients).The effect of each parameter on HEVs was analyzed by univariate and multivariate analyses,and a noninvasive prediction model was established.Finally,the discrimination ability,calibration ability and clinical efficacy of the new model were verified in the modelling group and the external validation group.RESULTS Univariate and multivariate analyses showed that SSM and LSM were associated with the occurrence of HEVs in patients with viral cirrhosis.On this basis,logistic regression analysis was used to construct a prediction model:Ln[P/(1-P)]=-8.184-0.228×SSM+0.642×LSM.The area under the curve of the new model was 0.965.When the cut-off value was 0.27,the sensitivity,specificity,positive predictive value and negative predictive value of the model for predicting HEVs were 100.00%,82.43%,83.52%,and 100%,respectively.Compared with the four prediction models of l
基金the Shaanxi Provincial Key Research and Development Plan,No.2020SF-159.
文摘predicting high-risk esophageal varices based on liver and spleen stiffness".Acute bleeding caused by esophageal varices is a life-threatening complication in patients with liver cirrhosis.Due to the discomfort,contraindications,and associated complications of upper gastrointestinal endoscopy screening,it is crucial to identify an imaging-based non-invasive model for predicting high-risk esophageal varices in patients with cirrhosis.
文摘The principle of the technique of microscope laser light scattering spectroscopy, its development and applications to the studies on single intact cells, including our work on non-invasive in situ real time measurements on single intact erythrocyte simultaneously at the levels of cellular, sub-cellular and intracellular molecules, are introduced.
基金the partially financial support of the Ministry of Education,Youth and Sport of the Czech Republic-projects‘CENAKVA’(project No.CZ.1.05/2.1.00/01.0024),‘CENAKVA II’(project No.LO1205 under the NPU I program).
文摘The optimum rate and application timing of Nitrogen(N)fertilizer are crucial in achieving a high yield in rice cultivation;however,conventional laboratory testing of plant nutrients is time-consuming and expensive.To develop a site-specific spatial variable rate application method to overcome the limitations of traditional techniques,especially in fields under a double-cropping system,this study focused on the relationship between Soil Plant Analysis Development(SPAD)chlorophyll meter readings and N content in leaves during different growth stages to introduce the most suitable stage for assessment of crop N and prediction of rice yield.The SPAD readings and leaf N content were measured on the uppermost fully expanded leaf at panicle formation and booting stages.Grain yield was also measured at the end of the season.The analysis of variance,variogram,and kriging were calculated to determine the variability of attributes and their relationship,and finally,variability maps were created.Significant linear relationships were observed between attributes,with the same trends in different sampling dates;however,accuracy of semivariance estimation reduces with the growth stage.Results of the study also implied that there was a better relationship between rice leaf N content(R^2=0.93),as well as yield(R2=0.81),with SPAD readings at the panicle formation stage.Therefore,the SPAD-based evaluation of N status and prediction of rice yield is more reliable on this stage rather than at the booting stage.This study proved that the application of SPAD chlorophyll meter paves the way for real-time paddy N management and grain yield estimation.It can be reliably exploited in precision agriculture of paddy fields under double-cropping cultivation to understand and control spatial variations.
基金This study was supported in part by the Ministry of Science and Technology MOST 108-2221-E-150-022-MY3 and Taiwan Ocean University.
文摘This study proposed a measurement platform for continuous blood pressure estimation based on dual photoplethysmography(PPG)sensors and a deep learning(DL)that can be used for continuous and rapid measurement of blood pressure and analysis of cardiovascular-related indicators.The proposed platform measured the signal changes in PPG and converted them into physiological indicators,such as pulse transit time(PTT),pulse wave velocity(PWV),perfusion index(PI)and heart rate(HR);these indicators were then fed into the DL to calculate blood pressure.The hardware of the experiment comprised 2 PPG components(i.e.,Raspberry Pi 3 Model B and analog-todigital converter[MCP3008]),which were connected using a serial peripheral interface.The DL algorithm converted the stable dual PPG signals acquired from the strictly standardized experimental process into various physiological indicators as input parameters and finally obtained the systolic blood pressure(SBP),diastolic blood pressure(DBP)and mean arterial pressure(MAP).To increase the robustness of the DL model,this study input data of 100 Asian participants into the training database,including those with and without cardiovascular disease,each with a proportion of approximately 50%.The experimental results revealed that the mean absolute error and standard deviation of SBP was 0.17±0.46 mmHg.The mean absolute error and standard deviation of DBP was 0.27±0.52 mmHg.The mean absolute error and standard deviation of MAP was 0.16±0.40 mmHg.
基金Project(07JJ6133) supported by the Natural Science Foundation of Hunan Province, China
文摘A new non-invasive blood glucose measuring apparatus (NBGMA) made up of MSP430F149 SCM (single chip micyoco) was developed,which can measure blood glucose level (BGL) frequently,conveniently and painlessly. The hardware and software of this apparatus were designed,and detecting algorithms based on conservation of energy method (COEM) were presented. According to the law of conservation of energy that the energy derived by human body equals energy consumed by metabolism,and the relationship between convection,evaporation,radiation and the BGL was established. The sensor module was designed. 20 healthy volunteers were involved in the clinical experiment. The BGL measured by an automatic biochemical analyzer (ABA) was set as the reference. Regression analysis was performed to compare the conservation of energy method with the biochemical method,using the 20 data points with blood glucose concentrations ranging from 680 to 1 100 mg/L. Reproducibility was measured for healthy fasting volunteers. The results show that the means of BGL detected by NBGMA and ANA are very close to each other,and the difference of standard deviation (SD) is 24.7 mg/L. The correlative coefficient is 0.807. The coefficient of variation (CV) is 4% at 921.6 mg/L. The resultant regression is evaluated by the Clarke error grid analysis (EGA) and all data points are included in the clinically acceptable regions (region A:100%,region B:0%). Accordingly,it is feasible to measure BGL with COEM.
