Objective:To evaluate the diagnostic value of fluorescence in situ hybridization(FISH)in bladder cancer.Methods:We enrolled healthy volunteers and patients who were clinically suspected to have bladder cancer and cond...Objective:To evaluate the diagnostic value of fluorescence in situ hybridization(FISH)in bladder cancer.Methods:We enrolled healthy volunteers and patients who were clinically suspected to have bladder cancer and conducted FISH tests and cytology examinations from August 2007 to December 2008.Receiver operating characteristic(ROC)curve analysis was performed and the area under curve(AUC)values were calculated for both the FISH and urine cytology tests.Results:A cohort of 988 healthy volunteers was enrolled to establish a reference range for the normal population.A total of 4807 patients with hematuria were prospectively,randomly enrolled for the simultaneous analysis of urine cytology,FISH testing,and a final diagnosis as determined by the pathologic findings of a biopsy or a surgically-excised specimen.Overall,the sensitivity of FISH in detecting transitional-cell carcinoma was 82.7%,while that of cytology was 33.4%(p<0.001).The sensitivity values of FISH for non-muscle invasive and muscle invasive bladder transitional-cell carcinoma were 81.7%and 89.6%,respectively(p=0.004).The sensitivity values of FISH for low and high grade bladder cancer were 82.6%and 90.1%,respectively(p=0.002).Conclusion:FISH is significantly more sensitive than voided urine cytology for detecting bladder cancer in patients evaluated for gross hematuria at all cancer grades and stages.Higher sensitivity using FISH was obtained in high grade and muscle invasive tumors.展开更多
A novel 2×5 model of insert-plug piezoelectric quartz crystal tumor marker micro-array immunosensor constructed with screw clamp apparatus has been developed for quantitative detection of the tumor markers such a...A novel 2×5 model of insert-plug piezoelectric quartz crystal tumor marker micro-array immunosensor constructed with screw clamp apparatus has been developed for quantitative detection of the tumor markers such as alpha-fetoprotein (AFP),carcino-embryonic antigen (CEA),prostate specific antigen (PSA),and human chorionic gonadotropin (hCG) in serum,in which every crystal unit can oscillate independently with the stability of±1 hertz (Hz) in air and±2 Hz in liquid.These response characteristics of Pz tumor marker micro-array immunosensor such as temperature, time-cost,reproducibility and specificity etc were also investigated.The detection ranges for AFP,CEA,PSA,and hCG obtained by Pz micro-array immunosensor were 20 ng/ml～640 ng/ml,1.56 ng/ml～50 ng/ml,1.25 ng/ml～50 ng/ml,and 2.5 mIU/ml～250 mlU/mi respectively with the coefficient of variance (CV) less than 5%.No cross-reactivates with other tumor markers in serum were observed.The results of AFP,CEA,PSA,and hCG obtained by this method from 68 serum samples were in good agreement with those given by chemiluminescence immunoassay with the correlation coefficients of 0.92,0.90,0.91,and 0.94 respectively.The Pz immunosensor regenerated by urea solution could be reused for five times without appreciable loss of response activity.Therefore,the proposed insert-plug immunosensor provides a rapid, sensitive,specific,reusable,convenient and reliable alternative for the detection of tumor markers in clinical laboratory.展开更多
The fast and accurate design of terahertz devices for specific applications remains challenging,especially for tailoring metadevices,owing to the complex electromagnetic characteristics of these devices and their larg...The fast and accurate design of terahertz devices for specific applications remains challenging,especially for tailoring metadevices,owing to the complex electromagnetic characteristics of these devices and their large structural parameter space.The unique functionalities achieved by metadevices come at the cost of structural complexity,resulting in a time-consuming parameter sweep for conventional metadevice design.Here,we propose a general solution to achieve efficient inverse design for a terahertz metagrating via machine learning.Metagratings with different structural parameters were selected as illustrations to verify the effectiveness of this method.As proof-of-principle examples,the metagratings predicted via the inverse design model are numerically calculated and experimentally demonstrated.Initially,the physical modeling of a metagrating is performed via the finite element method(FEM).A spectrum dataset obtained from FEM simulation is prepared for the training of machine learning models.Then,trained machine learning models,including the Elman neural network(Elman),support vector machine(SVM),and general regression neutral network(GRNN),are used to predict probable structural parameters.The results of these models are compared and analyzed comprehensively,which verifies the effectiveness of the inverse design method.Compared with conventional methods,the inverse design method is much faster and can encompass a high degree of freedom to generate metadevice structures,which can ensure that the spectra of generated structures resemble the desired ones and can provide accurate data support for metadevice modeling.Furthermore,a metagrating tailored by an inverse design is used as a biological sensor to distinguish different microorganisms.The proposed data-driven inverse design method realizes fast and accurate design of the metagrating,which is expected to have great potential in metadevice design and tailoring for specific applications.展开更多
基金This clinical research was funded by the Ministry of Health People’s Republic of China(No.WKJ2007-3-001).
文摘Objective:To evaluate the diagnostic value of fluorescence in situ hybridization(FISH)in bladder cancer.Methods:We enrolled healthy volunteers and patients who were clinically suspected to have bladder cancer and conducted FISH tests and cytology examinations from August 2007 to December 2008.Receiver operating characteristic(ROC)curve analysis was performed and the area under curve(AUC)values were calculated for both the FISH and urine cytology tests.Results:A cohort of 988 healthy volunteers was enrolled to establish a reference range for the normal population.A total of 4807 patients with hematuria were prospectively,randomly enrolled for the simultaneous analysis of urine cytology,FISH testing,and a final diagnosis as determined by the pathologic findings of a biopsy or a surgically-excised specimen.Overall,the sensitivity of FISH in detecting transitional-cell carcinoma was 82.7%,while that of cytology was 33.4%(p<0.001).The sensitivity values of FISH for non-muscle invasive and muscle invasive bladder transitional-cell carcinoma were 81.7%and 89.6%,respectively(p=0.004).The sensitivity values of FISH for low and high grade bladder cancer were 82.6%and 90.1%,respectively(p=0.002).Conclusion:FISH is significantly more sensitive than voided urine cytology for detecting bladder cancer in patients evaluated for gross hematuria at all cancer grades and stages.Higher sensitivity using FISH was obtained in high grade and muscle invasive tumors.
文摘A novel 2×5 model of insert-plug piezoelectric quartz crystal tumor marker micro-array immunosensor constructed with screw clamp apparatus has been developed for quantitative detection of the tumor markers such as alpha-fetoprotein (AFP),carcino-embryonic antigen (CEA),prostate specific antigen (PSA),and human chorionic gonadotropin (hCG) in serum,in which every crystal unit can oscillate independently with the stability of±1 hertz (Hz) in air and±2 Hz in liquid.These response characteristics of Pz tumor marker micro-array immunosensor such as temperature, time-cost,reproducibility and specificity etc were also investigated.The detection ranges for AFP,CEA,PSA,and hCG obtained by Pz micro-array immunosensor were 20 ng/ml～640 ng/ml,1.56 ng/ml～50 ng/ml,1.25 ng/ml～50 ng/ml,and 2.5 mIU/ml～250 mlU/mi respectively with the coefficient of variance (CV) less than 5%.No cross-reactivates with other tumor markers in serum were observed.The results of AFP,CEA,PSA,and hCG obtained by this method from 68 serum samples were in good agreement with those given by chemiluminescence immunoassay with the correlation coefficients of 0.92,0.90,0.91,and 0.94 respectively.The Pz immunosensor regenerated by urea solution could be reused for five times without appreciable loss of response activity.Therefore,the proposed insert-plug immunosensor provides a rapid, sensitive,specific,reusable,convenient and reliable alternative for the detection of tumor markers in clinical laboratory.
基金National Natural Science Foundation of China(82272428,61905177)Foundation of National Key Laboratory of Shock Wave and Detonation Physics(JCKYS2022212001)+2 种基金Natural Science Foundation of Tianjin Municipality(23JCYBJC00300)Key Research and Development Program of Tianjin City(23YFZCSN00090)Natural Science Foundation of Chongqing Municipality(CSTB2024NSCQ-MSX0057)。
文摘The fast and accurate design of terahertz devices for specific applications remains challenging,especially for tailoring metadevices,owing to the complex electromagnetic characteristics of these devices and their large structural parameter space.The unique functionalities achieved by metadevices come at the cost of structural complexity,resulting in a time-consuming parameter sweep for conventional metadevice design.Here,we propose a general solution to achieve efficient inverse design for a terahertz metagrating via machine learning.Metagratings with different structural parameters were selected as illustrations to verify the effectiveness of this method.As proof-of-principle examples,the metagratings predicted via the inverse design model are numerically calculated and experimentally demonstrated.Initially,the physical modeling of a metagrating is performed via the finite element method(FEM).A spectrum dataset obtained from FEM simulation is prepared for the training of machine learning models.Then,trained machine learning models,including the Elman neural network(Elman),support vector machine(SVM),and general regression neutral network(GRNN),are used to predict probable structural parameters.The results of these models are compared and analyzed comprehensively,which verifies the effectiveness of the inverse design method.Compared with conventional methods,the inverse design method is much faster and can encompass a high degree of freedom to generate metadevice structures,which can ensure that the spectra of generated structures resemble the desired ones and can provide accurate data support for metadevice modeling.Furthermore,a metagrating tailored by an inverse design is used as a biological sensor to distinguish different microorganisms.The proposed data-driven inverse design method realizes fast and accurate design of the metagrating,which is expected to have great potential in metadevice design and tailoring for specific applications.
