The aim of this study was to compare the accuracies of cognitive fusion-guided targeted biopsy(TB),systematic biopsy(SB),and combined TB+SB for the detection of prostate cancer(PCa)and clinically significant PCa(csPCa...The aim of this study was to compare the accuracies of cognitive fusion-guided targeted biopsy(TB),systematic biopsy(SB),and combined TB+SB for the detection of prostate cancer(PCa)and clinically significant PCa(csPCa)in males with lesions detected by magnetic resonance imaging(MRI).We conducted a retrospective analysis of individuals who underwent prostate biopsy at Peking University People's Hospital(Beijing,China),with an emphasis on patients with both transrectal TB and SB.The main objective was to determine the precisions of SB,TB,and TB+SB for diagnosing PCa and csPCa.We also evaluated the detection rates of TB,SB,TB+ipsilateral-SB(ipsi-SB),TB+contralateral-SB(contra-SB),and TB+SB for PCa and csPCa in patients with unilateral MRI lesions.We compared the diagnostic yields of the various biopsy schemes using the McNemar’s test.A total of 180 patients were enrolled.The rates of PCa detection using TB,SB,and TB+SB were 52.8%,62.2%,and 66.7%,respectively,and the corresponding rates for csPCa were 46.1%,56.7%,and 58.3%,respectively.Among patients with unilateral MRI lesions,the PCa detection rates for TB,SB,TB+ipsi-SB,TB+contra-SB,and TB+SB were 53.3%,64.8%,65.6%,61.5%,and 68.0%,respectively.TB+ipsi-SB detected 96.4%of PCa and 95.9%of csPCa cases.These findings suggest that the combination of TB+SB has better diagnostic accuracy compared with SB or TB alone.For patients with unilateral MRI lesions,the combination of TB+ipsi-SB may be suitable in clinical settings.展开更多
Purpose-Recently,the number of online learners and learning resources has increased dramatically,and the knowledge network generated in the e-learning platform is getting vaster and more complex than ever.Analyzing le...Purpose-Recently,the number of online learners and learning resources has increased dramatically,and the knowledge network generated in the e-learning platform is getting vaster and more complex than ever.Analyzing learners’potential preferences by aggregating high-level semantic information from this network and accurately modeling their cognitive states is crucial for identifying similar learners.Combining similar learners’learning records helps recommend suitable exercises to improve the effectiveness of exercise recommendations.This article tackles the challenging problem of how to aggregate high-level semantic information in a huge graph and accurately model learners’cognitive states.Design/methodology/approach-Firstly,this approach constructs e-learning environments’knowledge graphs by integrating the difficulty of exercises and characteristics of answering behaviors,and the knowledge graph attention network(KGAT)is used to train the graph embedding model of the knowledge graph.Secondly,a score reevaluation method is designed based on the coefficient of completion quality to help accurately model learners’cognitive states.Then,the learners’actual cognitive states,obtained by the cognitive diagnosis model(CDM),are innovatively incorporated into graph matching for acquiring similar subgraphs.Finally,the personalized recommendation results are ranked according to learners’interaction probability on similar exercises.Findings-First,the proposed method has superior exercise recommendation performance.Experiments demonstrate that,compared to the existing approach,the proposed approach has an increase rate of 3.21%,3.32%,3.27%and 0.38%in precision,recall,F1 score and HR@10,respectively,in the large-scale graph data scenario.Second,aggregating high-level semantic information from the knowledge network helps explore learners’potential preferences.Finally,the fine-grained scoring mechanism based on learners’exercise completion quality can better reflect the actual mastery levels of learners,which improves the accuracy of modeling their cognitive states.Originality/value-First,an approach to personalized exercise recommendation is proposed via knowledge enhancement and fuzzy cognitive fusion.The experiments demonstrate the effectiveness and feasibility of this approach in a scenario with large-scale graph data.Second,this approach provides a flexible and adaptable framework.In it,the CDM can be replaced to explore for better accuracy of cognitive evaluation.Third,KGAT is employed to embed the knowledge graph in e-learning environments for aggregating high-level semantic information from the graph.Finally,a score reevaluation method is designed to analyze learners’learning behavior for accurately modeling their cognitive states.展开更多
BACKGROUND Prostate cancer(PCa)is one of the most common cancers among men.Various strategies for targeted biopsy based on multiparametric magnetic resonance imaging(mp-MRI)have emerged,which may improve the accuracy ...BACKGROUND Prostate cancer(PCa)is one of the most common cancers among men.Various strategies for targeted biopsy based on multiparametric magnetic resonance imaging(mp-MRI)have emerged,which may improve the accuracy of detecting clinically significant PCa in recent years.AIM To investigate the diagnostic efficiency of a template for cognitive MRIultrasound fusion transperineal targeted plus randomized biopsy in detecting PCa.METHODS Data from patients with an increasing prostate-specific antigen(PSA)level but less than 20 ng/mL and at least one lesion suspicious for PCa on MRI from December 2015 to June 2018 were retrospectively analyzed.All patients underwent cognitive fusion transperineal template-guided targeted biopsy followed by randomized biopsy outside the targeted area.A total of 127 patients with complete data were included in the final analysis.A multivariable logistic regression analysis was conducted,and a two-sided P<0.05 was considered statistically significant.RESULTS PCa was detected in 66 of 127 patients,and 56 cases presented clinically significant PCa.Cognitive fusion targeted biopsy alone detected 59/127 cases of PCa,specifically 52/59 cases with clinically significant PCa and 7/59 cases with clinically insignificant PCa.A randomized biopsy detected seven cases of PCa negative on targeted biopsy,and four cases had clinically significant PCa.PSA density(OR:1.008,95%CI:1.003-1.012,P=0.001;OR:1.006,95%CI:1.002-1.010,P=0.004)and Prostate Imaging-Reporting and Data System(PI-RADS)scores(both P<0.001)were independently associated with the results of cognitive fusion targeted biopsy combined with randomized biopsy and targeted biopsy alone.CONCLUSION This single-centered study proposed a feasible template for cognitive MRIultrasound fusion transperineal targeted plus randomized biopsy.Patients with higher PSAD and PI-RADS scores were more likely to be diagnosed with PCa.展开更多
A cognitive magnetic resonance imaging(MRI)-targeted prostate biopsy conducted by an experienced clinician enhances the detection rate of(high-grade)prostate cancer;however,this method is less successful in the hands ...A cognitive magnetic resonance imaging(MRI)-targeted prostate biopsy conducted by an experienced clinician enhances the detection rate of(high-grade)prostate cancer;however,this method is less successful in the hands of inexperienced surgeons.Therefore,an alternative method of conducting a cognitive MRI-targeted biopsy that can be successfully performed by the inexperienced clinicians should be developed.Ninety-six males suspected of prostate cancer were analyzed using systematic biopsy and cognitive MRI-targeted biopsy based on our novel three-dimensional matrix positioning method.Typically,the core principle of the latter procedure was to put the MRI and ultrasound images into the same virtual coordinate system.Afterward,the targeted biopsy was transformed to target a coordinate for the suspected lesion in the MRI.Subsequently,patients were assessed for the presence/absence of prostate cancer or high-grade prostate cancer.According to our results,the overall detection rate of prostate cancer was 70.8%(68/96),and the detection rate of high-grade prostate cancer was 56.3%(54/96).Specifically,the detection rate of prostate cancer by systematic biopsy was 54.2%(52/96)and that by targeted biopsy was 59.4%(57/96;P=0.560).Clearly,the combined application of targeted biopsy could remarkably increase the detection rates of prostate cancer(P=0.025)and high-grade prostate cancer(P=0.009).Taken together,the findings of this study suggest that the combination of systematic biopsy with our three-dimensional matrix positioning-driven cognitive-targeted biopsy is superior to systematic biopsy in detecting prostate cancer and high-grade prostate cancer.展开更多
Introduction: Prostate cancer (PCa) is the third most prevalent cancer among Malaysian males, often diagnosed at advanced stages, leading to suboptimal outcomes. While transrectal ultrasound-guided systematic biopsy (...Introduction: Prostate cancer (PCa) is the third most prevalent cancer among Malaysian males, often diagnosed at advanced stages, leading to suboptimal outcomes. While transrectal ultrasound-guided systematic biopsy (TRUS-SB) is the primary diagnostic method, prebiopsy multiparametric magnetic resonance imaging (mpMRI) is gaining popularity in identifying suspicious lesions. This study addresses the lack of comprehensive investigations into the efficacy of cognitive registration TRUS targeted biopsy (COG-TB) compared to conventional TRUS-SB, considering the resource limitations of the Malaysian healthcare system. Materials and Methods: A retrospective cohort study was conducted in two Malaysian healthcare facilities. 116 adult patients with a prostate-specific antigen (PSA) level of more than 4 ng/mL who underwent both COG-TB and TRUS-SB between October 2020 and March 2022 were included. Primary outcomes were cancer detection rate and histopathological outcomes, including Gleason score. Results: COG-TB showed a higher overall cancer detection rate (50%) compared to TRUS-SB (44%). Clinically significant cancer detection rates were similar between COG-TB and TRUS-SB (37.1%). Further analysis revealed that both COG-TB and TRUS-SB detected clinically significant cancer in 30.2% of patients, did not detect it in 56.0%, and had conflicting findings in 16 patients (p Conclusion: COG-TB and TRUS-SB have comparable detection rates for clinically significant prostate cancer, with COG-TB showing a higher tendency to detect insignificant prostate cancer. Further studies comparing these methods are warranted.展开更多
Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amo...Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amongthem, the hybrid network system architecture which is thedistributed configuration combining with the centralized cognition and its soft/hardware framework with the sense-detectionintegration are proposed, and the information processing framebased on the lens principle and its information processing flowwith receive-transmit joint adaption are designed, which buildand parse the work law for cognition and its self feedback adjustment with the lens focus model and five stages informationprocessing sequence. After that, the system simulation andthe performance analysis and comparison are provided, whichinitially proves the rationality and advantages of the proposedideas. Finally, four important development ideas of futureSWOTHR toward ＂high frequency intelligence information processing system＂ are discussed, which are scene information fusion, dynamic reconfigurable system, hierarchical and modulardesign, and sustainable development. Then the conclusion thatthe cognitive SWOTHR can cause the performance improvement is gotten.展开更多
基金supported by the National Natural Science Foundation of China(No.82071777)Peking University People's Hospital Scientific Research Development Funds(No.RDJP2022-10).
文摘The aim of this study was to compare the accuracies of cognitive fusion-guided targeted biopsy(TB),systematic biopsy(SB),and combined TB+SB for the detection of prostate cancer(PCa)and clinically significant PCa(csPCa)in males with lesions detected by magnetic resonance imaging(MRI).We conducted a retrospective analysis of individuals who underwent prostate biopsy at Peking University People's Hospital(Beijing,China),with an emphasis on patients with both transrectal TB and SB.The main objective was to determine the precisions of SB,TB,and TB+SB for diagnosing PCa and csPCa.We also evaluated the detection rates of TB,SB,TB+ipsilateral-SB(ipsi-SB),TB+contralateral-SB(contra-SB),and TB+SB for PCa and csPCa in patients with unilateral MRI lesions.We compared the diagnostic yields of the various biopsy schemes using the McNemar’s test.A total of 180 patients were enrolled.The rates of PCa detection using TB,SB,and TB+SB were 52.8%,62.2%,and 66.7%,respectively,and the corresponding rates for csPCa were 46.1%,56.7%,and 58.3%,respectively.Among patients with unilateral MRI lesions,the PCa detection rates for TB,SB,TB+ipsi-SB,TB+contra-SB,and TB+SB were 53.3%,64.8%,65.6%,61.5%,and 68.0%,respectively.TB+ipsi-SB detected 96.4%of PCa and 95.9%of csPCa cases.These findings suggest that the combination of TB+SB has better diagnostic accuracy compared with SB or TB alone.For patients with unilateral MRI lesions,the combination of TB+ipsi-SB may be suitable in clinical settings.
文摘Purpose-Recently,the number of online learners and learning resources has increased dramatically,and the knowledge network generated in the e-learning platform is getting vaster and more complex than ever.Analyzing learners’potential preferences by aggregating high-level semantic information from this network and accurately modeling their cognitive states is crucial for identifying similar learners.Combining similar learners’learning records helps recommend suitable exercises to improve the effectiveness of exercise recommendations.This article tackles the challenging problem of how to aggregate high-level semantic information in a huge graph and accurately model learners’cognitive states.Design/methodology/approach-Firstly,this approach constructs e-learning environments’knowledge graphs by integrating the difficulty of exercises and characteristics of answering behaviors,and the knowledge graph attention network(KGAT)is used to train the graph embedding model of the knowledge graph.Secondly,a score reevaluation method is designed based on the coefficient of completion quality to help accurately model learners’cognitive states.Then,the learners’actual cognitive states,obtained by the cognitive diagnosis model(CDM),are innovatively incorporated into graph matching for acquiring similar subgraphs.Finally,the personalized recommendation results are ranked according to learners’interaction probability on similar exercises.Findings-First,the proposed method has superior exercise recommendation performance.Experiments demonstrate that,compared to the existing approach,the proposed approach has an increase rate of 3.21%,3.32%,3.27%and 0.38%in precision,recall,F1 score and HR@10,respectively,in the large-scale graph data scenario.Second,aggregating high-level semantic information from the knowledge network helps explore learners’potential preferences.Finally,the fine-grained scoring mechanism based on learners’exercise completion quality can better reflect the actual mastery levels of learners,which improves the accuracy of modeling their cognitive states.Originality/value-First,an approach to personalized exercise recommendation is proposed via knowledge enhancement and fuzzy cognitive fusion.The experiments demonstrate the effectiveness and feasibility of this approach in a scenario with large-scale graph data.Second,this approach provides a flexible and adaptable framework.In it,the CDM can be replaced to explore for better accuracy of cognitive evaluation.Third,KGAT is employed to embed the knowledge graph in e-learning environments for aggregating high-level semantic information from the graph.Finally,a score reevaluation method is designed to analyze learners’learning behavior for accurately modeling their cognitive states.
基金the Beijing Hospital Clinical Research 121 Project(BJ-2018-090 to Ming Liu).
文摘BACKGROUND Prostate cancer(PCa)is one of the most common cancers among men.Various strategies for targeted biopsy based on multiparametric magnetic resonance imaging(mp-MRI)have emerged,which may improve the accuracy of detecting clinically significant PCa in recent years.AIM To investigate the diagnostic efficiency of a template for cognitive MRIultrasound fusion transperineal targeted plus randomized biopsy in detecting PCa.METHODS Data from patients with an increasing prostate-specific antigen(PSA)level but less than 20 ng/mL and at least one lesion suspicious for PCa on MRI from December 2015 to June 2018 were retrospectively analyzed.All patients underwent cognitive fusion transperineal template-guided targeted biopsy followed by randomized biopsy outside the targeted area.A total of 127 patients with complete data were included in the final analysis.A multivariable logistic regression analysis was conducted,and a two-sided P<0.05 was considered statistically significant.RESULTS PCa was detected in 66 of 127 patients,and 56 cases presented clinically significant PCa.Cognitive fusion targeted biopsy alone detected 59/127 cases of PCa,specifically 52/59 cases with clinically significant PCa and 7/59 cases with clinically insignificant PCa.A randomized biopsy detected seven cases of PCa negative on targeted biopsy,and four cases had clinically significant PCa.PSA density(OR:1.008,95%CI:1.003-1.012,P=0.001;OR:1.006,95%CI:1.002-1.010,P=0.004)and Prostate Imaging-Reporting and Data System(PI-RADS)scores(both P<0.001)were independently associated with the results of cognitive fusion targeted biopsy combined with randomized biopsy and targeted biopsy alone.CONCLUSION This single-centered study proposed a feasible template for cognitive MRIultrasound fusion transperineal targeted plus randomized biopsy.Patients with higher PSAD and PI-RADS scores were more likely to be diagnosed with PCa.
基金the Fund for National Natural Science Foundation Youth Project(No.81702514,to RC).
文摘A cognitive magnetic resonance imaging(MRI)-targeted prostate biopsy conducted by an experienced clinician enhances the detection rate of(high-grade)prostate cancer;however,this method is less successful in the hands of inexperienced surgeons.Therefore,an alternative method of conducting a cognitive MRI-targeted biopsy that can be successfully performed by the inexperienced clinicians should be developed.Ninety-six males suspected of prostate cancer were analyzed using systematic biopsy and cognitive MRI-targeted biopsy based on our novel three-dimensional matrix positioning method.Typically,the core principle of the latter procedure was to put the MRI and ultrasound images into the same virtual coordinate system.Afterward,the targeted biopsy was transformed to target a coordinate for the suspected lesion in the MRI.Subsequently,patients were assessed for the presence/absence of prostate cancer or high-grade prostate cancer.According to our results,the overall detection rate of prostate cancer was 70.8%(68/96),and the detection rate of high-grade prostate cancer was 56.3%(54/96).Specifically,the detection rate of prostate cancer by systematic biopsy was 54.2%(52/96)and that by targeted biopsy was 59.4%(57/96;P=0.560).Clearly,the combined application of targeted biopsy could remarkably increase the detection rates of prostate cancer(P=0.025)and high-grade prostate cancer(P=0.009).Taken together,the findings of this study suggest that the combination of systematic biopsy with our three-dimensional matrix positioning-driven cognitive-targeted biopsy is superior to systematic biopsy in detecting prostate cancer and high-grade prostate cancer.
文摘Introduction: Prostate cancer (PCa) is the third most prevalent cancer among Malaysian males, often diagnosed at advanced stages, leading to suboptimal outcomes. While transrectal ultrasound-guided systematic biopsy (TRUS-SB) is the primary diagnostic method, prebiopsy multiparametric magnetic resonance imaging (mpMRI) is gaining popularity in identifying suspicious lesions. This study addresses the lack of comprehensive investigations into the efficacy of cognitive registration TRUS targeted biopsy (COG-TB) compared to conventional TRUS-SB, considering the resource limitations of the Malaysian healthcare system. Materials and Methods: A retrospective cohort study was conducted in two Malaysian healthcare facilities. 116 adult patients with a prostate-specific antigen (PSA) level of more than 4 ng/mL who underwent both COG-TB and TRUS-SB between October 2020 and March 2022 were included. Primary outcomes were cancer detection rate and histopathological outcomes, including Gleason score. Results: COG-TB showed a higher overall cancer detection rate (50%) compared to TRUS-SB (44%). Clinically significant cancer detection rates were similar between COG-TB and TRUS-SB (37.1%). Further analysis revealed that both COG-TB and TRUS-SB detected clinically significant cancer in 30.2% of patients, did not detect it in 56.0%, and had conflicting findings in 16 patients (p Conclusion: COG-TB and TRUS-SB have comparable detection rates for clinically significant prostate cancer, with COG-TB showing a higher tendency to detect insignificant prostate cancer. Further studies comparing these methods are warranted.
基金supported by the National Natural Science Foundation of China(61471391)the China Postdoctoral Science Foundation(2013M542541)
文摘Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amongthem, the hybrid network system architecture which is thedistributed configuration combining with the centralized cognition and its soft/hardware framework with the sense-detectionintegration are proposed, and the information processing framebased on the lens principle and its information processing flowwith receive-transmit joint adaption are designed, which buildand parse the work law for cognition and its self feedback adjustment with the lens focus model and five stages informationprocessing sequence. After that, the system simulation andthe performance analysis and comparison are provided, whichinitially proves the rationality and advantages of the proposedideas. Finally, four important development ideas of futureSWOTHR toward ＂high frequency intelligence information processing system＂ are discussed, which are scene information fusion, dynamic reconfigurable system, hierarchical and modulardesign, and sustainable development. Then the conclusion thatthe cognitive SWOTHR can cause the performance improvement is gotten.
