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16篇 您的检索式:作者名="YUAN Dalin"
    题名 作者 年代 出处 被引量
1Prostate cancer in Asia:A collaborative report显示文摘The incidence of prostate cancer(PCa)within Asian population used to be much lower than in the Western population;however,in recent years the incidence and mortality rate of PCa in some Asian countries have grown rapidly.This collaborative report summarized the latest epidemiology information,risk factors,and racial differences in PCa diagnosis,current status and new trends in surgery management and novel agents for castration-resistant prostate cancer.We believe such information would be helpful in clinical decision making for urologists and oncologists,health-care ministries and medical researchers.Rui Chen Shancheng Ren Ming Kwong Yiu Ng Chi Fai Wai Sam Cheng Lap Hong Ian Seiji Naito Tadashi Matsuda Elijah Kehinde Ali Kural Jason Yichun Chiu Rainy Umbas Qiang Wei Xiaolei Shi Liqun Zhou Jian Huang Yiran Huang Liping Xie Lulin Ma Changjun Yin Danfeng Xu Kexin Xu Zhangqun Ye Chunxiao Liu Dingwei Ye Xin Gao Qiang Fu Jianquan Hou Jianlin Yuan Dalin He Tiejun Pan Qiang Ding Fengshuo Jin Benkang Shi Gongxian Wang Xiuheng Liu Dongwen Wang Zhoujun Shen Xiangbo Kong Wanhai Xu Yaoliang Deng Haibo Xia Alexa NCohen Xu Gao Chuanliang Xu Yinghao Sun 2014Asian Journal of Urology2014,1,1:13
2Percent free prostate-specific antigen for prostate cancer diagnosis in Chinese men with a PSA of 4.0-10.0 ng/mL:Results from the Chinese Prostate Cancer Consortium显示文摘Objective:To test the diagnostic performance of percent free prostate-specific antigen(%fPSA)in predicting any prostate cancer(PCa)and high-grade prostate cancer(HGPCa)in a retrospective multi-center biopsy cohort with a PSA level of 4.0e10.0 ng/mL in China.Methods:Consecutive patients with a PSA of 4.0-10.0 ng/mL who underwent transrectal ultrasound-guided biopsy were enrolled at 16 Chinese medical centers from January 1st,2010 to December 31st,2013.Total and free serum PSA determinations were performed using three types of electro-chemiluminescence immunoassays recalibrated to the World Health Organization(WHO)standard.The diagnostic accuracy of PSA,%fPSA,and %fPSA in combination with PSA(%fPSA t PSA)was determined using the area under the receiver operating characteristic(ROC)curve(AUC).Results:A total of 2310 consecutive men with PSA levels between 4.0 and 10.0 ng/mL were included,and the detection rate of PCa was 25.1%.The AUC of%fPSA and %fPSA t PSA in predicting any PCa was superior to PSA alone in men aged≥60 years(0.623 vs.0.534,p<0.0001)but not in men aged 40e59 years(0.517 vs.0.518,p=0.939).Similar result was yield in predicting HGPCa.Conclusion:In a clinical setting of Chinese men with 4.0e10.0 ng/mL PSA undergoing initial prostate biopsy,adding %fPSA to PSA can moderately improve the diagnostic accuracy for any PCa and HGPCa compared with PSA alone in patients≥60 but not in patients aged 40-59 years.Rui Chen Liping Xie Xiaobing Cai Yiran Huang Liqun Zhou Lulin Ma Xu Gao Chuanliang Xu Shancheng Ren Pengfei Shao Danfeng Xu Kexin Xu Zhangqun Ye Chunxiao Liu Dingwei Ye Li Lu Qiang Fu Jianquan Hou Jianlin Yuan Dalin He Tie Zhou Fubo Wang Biming He Yinghao Sun 2015Asian Journal of Urology2015,2,2:8
3A case-control study about the association between vascular endothelial growth inhibitor gene polymorphisms and breast cancer risk in female patients in Northeast China显示文摘Objective: The inhibition of the neovascularization in tumors is a potential therapeutic target of cancer. Vascular endothelial growth inhibitor(VEGI) is a member of the TNF superfamily which has the ability to suppress the formation of new vessels in tumors. In order to study the association between VEGI gene polymorphisms and breast cancer risk, a case-control study was conducted in Chinese Han women in Northeast China.Methods: Our study involved 708 female breast cancer patients and 685 healthy volunteers. Four SNPs of VEGI gene were analyzed through the polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP) method. The association between VEGI gene polymorphisms and breast cancer risk was analyzed in our study. The relation between VEGI gene variants and clinical features of breast cancer including lymph node(LN) metastasis, estrogen receptor(ER), progestrogen receptor(PR), tumor protein 53(p53), human epidermal growth factor receptor 2(Her-2) and triple negative(ER-/PR-/Her-2-) status was analyzed as well.Results: We found that the CT genotype and T allele of rs6478106 were more frequent in patients than in controls. There was also a statistical difference in the distribution of C_(rs6478106)G_(rs4263839) haplotype between patients and controls. In addition, SNP rs6478106 and rs4979462 were related with the Her-2 status.Conclusions: Our results suggest that VEGI gene variants may be related to the breast cancer risk and the clinical features of breast cancer in Chinese Han women in Northeast China.Shaoli Han Lei Liu Fengyan Xu Shuang Chen Weiguang Yuan Zhenkun Fu Dalin Li Dianjun Li 2016Chinese Journal of Cancer Research2016,28,4:7
4The analysis of Radix Angelicae Sinensis (Danggui)显示文摘Lunzhao Yi Yizeng Liang Hai Wu Dalin Yuan 2008Journal of Chromatography A2008,,11:1
5Calibration model transfer for near-infrared spectra based on canonical correlation analysis显示文摘Fan Wei Liang Yizeng Yuan Dalin Wang jiajun 2008Analytica Chimica Acta2008,623,:1
6Ultimate capacity of high- strength rectangular concrete-filled steel hollow section stub columns 显示文摘Liu Dalin Gho W M Yuan Jie 2003Journal of Constructional Steel Research2003,59,12:1
7Rapid simultaneous determination of major isoflavones of Pueraria lobata and discriminative analysis of its geographical origins by principal component analysis显示文摘ZHAO Chenxi CHAN H Y YUAN Dalin 2011Phytochemical Analysis2011,22,6:1
8Advanced human carotid plaque progression correlates positively with flow shear stress using follow-up scan data: An in vivo MRI multi-patient 3D FSI study显示文摘Chun Yang Gador Canton Chun Yuan Marina Ferguson Thomas S. Hatsukami Dalin Tang 2010Journal of Biomechanics2010,,13:1
9A negative correlation between human carotid atherosclerotic plaque progression and plaque wall stress: In vivo MRI-based 2D/3D FSI models显示文摘Dalin Tang Chun Yang Sayan Mondal Fei Liu Gador Canton Thomas S. Hatsukami Chun Yuan 2007Journal of Biomechanics2007,,4:1
103D MRI-Based Multicomponent FSI Models for Atherosclerotic Plaques显示文摘Dalin Tang Chun Yang Jie Zheng Pamela K. Woodard Gregorio A. Sicard Jeffrey E. Saffitz Chun Yuan 2004Annals of Biomedical Engineering2004,,7:1
11Using Multiple Risk Factors and Generalized Linear Mixed Models with 5-Fold Cross-Validation Strategy for Optimal Carotid Plaque Progression Prediction显示文摘Background Cardiovascular diseases are closely linked to atherosclerotic plaque development and rupture.Plaque progression prediction is of fundamental significance to cardiovascular research and disease diagnosis,prevention,and treatment.Generalized linear mixed models(GLMM)is an extension of linear model for categorical responses while considering the correlation among observations.Methods Magnetic resonance image(MRI)data of carotid atheroscleroticplaques were acquired from 20 patients with consent obtained and 3D thin-layer models were constructed to calculate plaque stress and strain for plaque progression prediction.Data for ten morphological and biomechanical risk factors included wall thickness(WT),lipid percent(LP),minimum cap thickness(MinCT),plaque area(PA),plaque burden(PB),lumen area(LA),maximum plaque wall stress(MPWS),maximum plaque wall strain(MPWSn),average plaque wall stress(APWS),and average plaque wall strain(APWSn)were extracted from all slices for analysis.Wall thickness increase(WTI),plaque burden increase(PBI)and plaque area increase(PAI) were chosen as three measures for plaque progression.Generalized linear mixed models(GLMM)with 5-fold cross-validation strategy were used to calculate prediction accuracy for each predictor and identify optimal predictor with the highest prediction accuracy defined as sum of sensitivity and specificity.All 201 MRI slices were randomly divided into 4 training subgroups and 1 verification subgroup.The training subgroups were used for model fitting,and the verification subgroup was used to estimate the model.All combinations(total1023)of 10 risk factors were feed to GLMM and the prediction accuracy of each predictor were selected from the point on the ROC(receiver operating characteristic)curve with the highest sum of specificity and sensitivity.Results LA was the best single predictor for PBI with the highest prediction accuracy(1.360 1),and the area under of the ROC curve(AUC)is0.654 0,followed by APWSn(1.336 3)with AUC=0.6342.The optimal predictor among all possible combinations for PBI was the combination of LA,PA,LP,WT,MPWS and MPWSn with prediction accuracy=1.414 6(AUC=0.715 8).LA was once again the best single predictor for PAI with the highest prediction accuracy(1.184 6)with AUC=0.606 4,followed by MPWSn(1. 183 2)with AUC=0.6084.The combination of PA,PB,WT,MPWS,MPWSn and APWSn gave the best prediction accuracy(1.302 5)for PAI,and the AUC value is 0.6657.PA was the best single predictor for WTI with highest prediction accuracy(1.288 7)with AUC=0.641 5,followed by WT(1.254 0),with AUC=0.6097.The combination of PA,PB,WT,LP,MinCT,MPWS and MPWS was the best predictor for WTI with prediction accuracy as 1.314 0,with AUC=0.6552.This indicated that PBI was a more predictable measure than WTI and PAI. The combinational predictors improved prediction accuracy by 9.95%,4.01%and 1.96%over the best single predictors for PAI,PBI and WTI(AUC values improved by9.78%,9.45%,and 2.14%),respectively.Conclusions The use of GLMM with 5-fold cross-validation strategy combining both morphological and biomechanical risk factors could potentially improve the accuracy of carotid plaque progression prediction.This study suggests that a linear combination of multiple predictors can provide potential improvement to existing plaque assessment schemes.Qingyu Wang Dalin Tang Liang Wang Gador Canton Zheyang Wu Thomas SHatsukami Kristen L Billiar Chun Yuan 2019医用生物力学2019,34,A01:0
12Making More Sense of Human Intention Detection via Reconstruction Models显示文摘Movement intention recognition paves the path to developing Brain-Computer Interface(BCI)applications.Current research mostly focuses on questions like'which hand is intended to move'.While answering questions like'whether a hand is intended to move'is more desirable for widely realworld applications,because we cannot continuously perform intention tasks during usage,and the gap periods may cause unintended operation resulting in system failures.However,this kind of intention detection task is more difficult,since for a'whether'problem,it is hard to know what the'not'situation is and consequently to acquire training samples for the'not'situation.Furthermore,the occurrence of genuine intentions is comparatively scarce and unexpected,making the intention detection task hard and computation-consuming.To tackle this problem,we propose a Reconstruction-based Intention Detection(RID)framework,which utilises a reconstruction model to represent a high-level abstraction of EEG signals and leverages the reconstruction errors to determine'whether'there is a movement intention.Our framework is not only theoretically flexible and robust to any sophisticated real-world scenarios but also hand-crafted feature and domain knowledge free.Comprehensive experiments on detecting movement intention tasks with different reconstruction models demonstrate the promising performance of the proposed reconstruction intention detection framework.Wei Liang Dalin Zhang Xigang Yuan 2020China Communications2020,17,7:0
13Angle of Attack between Blood Flow and Mitral Valve Leaflets in Hypertrophic Obstructive Cardiomyopathy: An In Vivo Multipatient CT-based FSI Study显示文摘The mechanisms of systolic anterior motion(SAM)of the mitral valve in hypertrophic obstructive cardiomyopathy(HOCM)remain unclear.To investigate the angle of attack between blood flow and mitral valve leaflets at pre-SAM time point,patient-specific CT-based computational models were constructed for 5 patients receiving septal myectomy surgery to obtain pre-and post-operative 2D vector flow mapping.The comparisons between pre-and post-operative angles of attack based on 2D vector flow mapping of 5 patients were performed.It was found that there was no statistically significant difference between pre-and post-operative angles of attack(61.1±t wa o vs.56.2±56.o,p=0.306,n=5).Therefore,we propose that the angle of attack might not play an important role in the initiation of SAM.Long Deng Xueying Huang Heng Zuo Yuan Zheng Chun Yang Yunhu Song Dalin Tang 2018Computer Modeling in Engineering & Sciences2018,,8:0
14Making Sense of Reconstruction Models for Human Intention Detection显示文摘Movement intention recognition paves the path to developing Brain-Computer Interface(BCI)applications.Current research mostly focuses on questions like“which hand is intended to move”.While answering questions like“whether a hand is intended to move”is more desirable for widely real-world applications,because we cannot continuously perform intention tasks during usage,and the gap periods may cause unintended operation resulting in system failures.However,this kind of intention detection task is more difficult,since for a“whether”problem,it is hard to know what the“not”situation is and consequently to acquire training samples for the“not”situation.Furthermore,the occurrence of genuine intentions is comparatively scarce and unexpected,making the intention detection task hard and computation-consuming.To tackle this problem,we propose a Reconstruction-based Intention Detection(RID)framework,which utilises a reconstruction model to represent a high-level abstraction of EEG signals and leverages the reconstruction errors to determine“whether”there is a movement intention.Our framework is not only theoretically flexible and robust to any sophisticated real-world scenarios but also hand-crafted feature and domain knowledge free.Comprehensive experiments on detecting movement intention tasks with different reconstruction models demonstrate the promising performance of the proposed reconstruction intention detection framework.Wei Liang Dalin Zhang Xigang Yuan Kaixuan Chen 2020China Communications2020,17,4:0
15Niobium fluoride-modified hydrogen evolution reaction of magnesium borohydride diammoniate显示文摘Metal borohydride ammoniates have become one of the most promising hydrogen storage materials due to their ultrahigh capacities.However,their application is still restricted by the high temperature of hydrogen desorption and the release of ammonia.Here,to promote the dehydrogenation evolution and suppress the ammonia release,different amounts of NbF 5 were introduced into Mg(BH4)2·2NH3.Compared to the pure Mg(BH_(4))_(2)·2NH_(3),the Mg(BH_(4))_(2)·2NH_(3)-NbF_(5) composites exhibit lower onset dehydriding temperatures(53–57℃)and higher dehydriding capacities(5.6 wt.%–8.2 wt.%)at below 200℃,with the complete suppression of ammonia.In addition,7.4 wt.%H_(2) could be released from Mg(BH_(4))_(2)·2NH_(3)–5 mol%NbF5 composite at 200℃ within 20 min and the apparent activation energy is calculated to be 60.28 kJ mol^(-1),which is much lower than that of pure Mg(BH_(4))_(2)·2NH_(3)(92.04 kJ mol^(-1)).Mg(BH_(4))_(2)·2NH_(3) should mechanochemically react with NbF5,forming dual-metal(Mg,Nb)borohydride ammoniate and spherical MgF2.The introduction of electronegative Nb cation results in-situ formation of(Mg,Nb)borohydride ammoniate towards a lower dehydrogenation temperature and a higher hydrogen release purity.The increased phase boundaries among the Mg(BH_(4))_(2)·2NH_(3),dual-metal(Mg,Nb)borohydride ammoniate,and MgF2 phases further facilitate the hydrogen diffusion during the dehydrogenation of the composites.Yujie Lv Bao Zhang Haixiang Huang Bogu Liu Wei Lv Jianguang Yuan Guanglin Xia Xuebin Yu Dalin Sun Ying Wu 2023Journal of Materials Science & Technology2023,,25:0
16全基因组关联研究发现中国人群前列腺癌两个新易感位点9q31.2和19q13.4显示文摘0前言在全球范围内,前列腺癌的发病率和病死率存在着巨大差异。该病在西方发达国家发病率最高,在非裔美国人群病死率最高,而在亚洲人群中发病率及病死率均为全球最低,提示不同人种在前列腺癌的遗传方面存在异质性。在欧美和日本人群中,全基因组关联研究(GWAS)技术已经被用于检测前列腺癌的遗传易感性位点,但至今尚无关于GWAS检测中国人群前列腺癌易感位点的报道。Jianfeng Xu Zengnan Mo Dingwei Ye Meilin Wang Fang Liu Guangfu Jin Chuanliang Xu Xiang Wang Qiang Shao Zhiwen Chen Zhihua Tao Jun Qi Fangjian Zhou Zhong Wang Yaowen Fu Dalin He Qiang Wei Jianming Guo Denglong Wu Xin Gao Jianlin Yuan Gongxian Wang Yong Xu Guozeng Wang Haijun Yao Pei Dong Yang Jiao Mo Shen Jin Yang Jun Ou-Yang Haowen Jiang Yao Zhu Shancheng Ren Zhengdong Zhang Changjun Yin Xu Gao Bo Dai Zhibin Hu Yajun Yang Qijun Wu Hongyan Chen Peng Peng Ying Zheng Xiaodong Zheng Yongbing Xiang Jirong Long Jian Gong Rong Na Xiaoling Lin Hongjie Yu Sha Tao Junjie Feng Jishan Sun Wennuan Liu Ann Hsing Jianyu Rao Qiang Ding Fredirik Wiklund Henrik Gronberg Xiao-Ou Shu Wei Zheng Hongbing Shen Li Jin Rong Shi Daru Lu Xuejun Zhang Jielin Sun S Lilly Zheng Yinghao Sun 2013第二军医大学学报2013,34,4:0
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