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Number of involved nodal stations: a better lymph node classification for clinical stage IA lung adenocarcinoma
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作者 Mengwen Liu Lei Miao +7 位作者 Rongshou Zheng Liang Zhao Xin Liang Shiquan Yin Jingjing Li Cong Li Meng Li Li Zhang 《Journal of the National Cancer Center》 2023年第3期197-202,共6页
Background:With the popularization of lung cancer screening,more early-stage lung cancers are being detected.This study aims to compare three types of N classifications,including location-based N classification(pathol... Background:With the popularization of lung cancer screening,more early-stage lung cancers are being detected.This study aims to compare three types of N classifications,including location-based N classification(pathologic nodal classification[pN]),the number of lymph node stations(nS)-based N classification(nS classification),and the combined approach proposed by the International Association for the Study of Lung Cancer(IASLC)which incorporates both pN and nS classification to determine if the nS classification is more appropriate for early-stage lung cancer.Methods:We retrospectively reviewed the clinical data of lung cancer patients treated at the Cancer Hospital,Chinese Academy of Medical Sciences between 2005 and 2018.Inclusion criteria was clinical stage IA lung adenocarcinoma patients who underwent resection during this period.Sub-analyses were performed for the three types of N classifications.The optimal cutoffvalues for nS classification were determined with X-tile software.Kaplan‒Meier and multivariate Cox analyses were performed to assess the prognostic significance of the different N classifications.The prediction performance among the three types of N classifications was compared using the concordance index(C-index)and decision curve analysis(DCA).Results:Of the 669 patients evaluated,534 had pathological stage N0 disease(79.8%),82 had N1 disease(12.3%)and 53 had N2 disease(7.9%).Multivariate Cox analysis indicated that all three types of N classifications were independent prognostic factors for prognosis(all P<0.001).However,the prognosis overlaps between pN(N1 and N2,P=0.052)and IASLC-proposed N classification(N1b and N2a1[P=0.407],N2a1 and N2a2[P=0.364],and N2a2 and N2b[P=0.779]),except for nS classification subgroups(nS0 and nS1[P<0.001]and nS1 and nS>1[P=0.006]).There was no significant difference in the C-index values between the three N classifications(P=0.370).The DCA results demonstrated that the nS classification provided greater clinical utility.Conclusion:The nS classification might be a better choice for nodal classification in clinical stage IA lung adeno-carcinoma. 展开更多
关键词 n classification Clinical stage IA lung adenocarcinoma number of involved nodal stations Pathologic nodal classification IASLC-proposed n classifications
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DOMAIN DECOMPOSITION METHOD FOR PARABOLIC EQUATION ON GENERAL DOMAIN 被引量:1
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作者 RUI HONGXING 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 1995年第1期25-34,共10页
The nonoverlapping domain decomposition method for parabolic partialdifferential equation on general domain is considered. A kind of domain decompositionthat uses the finite element procedure is given. The problem ove... The nonoverlapping domain decomposition method for parabolic partialdifferential equation on general domain is considered. A kind of domain decompositionthat uses the finite element procedure is given. The problem over the domains can beimplemented on parallel computer. Convergence analysis is also presented. 展开更多
关键词 1991 MR Subject classification 65n15 65n55 65n30
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CHARACTERISTICS DIFFERENCE METHOD FOR INCOMPRESSIBLE MISCIBLE FLOW IN POROUS MEDIA
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作者 Cheng Aijie 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 1999年第2期144-152,共9页
Abstract Two phase,incompressible miscible flow in porous media is governed by a system of nonlinear partial differential equations.The pressure equation,which is elliptic in appearance,is discretized by a standard fi... Abstract Two phase,incompressible miscible flow in porous media is governed by a system of nonlinear partial differential equations.The pressure equation,which is elliptic in appearance,is discretized by a standard five points difference method.The concentration equation is treated by an implicit finite difference method that applies a form of the method of characteristics to the transport terms.A class of biquadratic interpolation is introduced for the method of characteristics.Convergence rate is proved to be O(Δt+h 2). 展开更多
关键词 1991 MR Subject classification 65n15 65n30
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FULL DISCRETE NONLINEAR GALERKIN METHOD FOR THE NAVIER-STOKES EQUATIONS 
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作者 LIKAITAI HEYINNIAN XIANGYIMIN 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 1994年第1期11-30,共20页
This paper deals with the inertial manifold and the approximate inertialmanifold concepts of the Navier-Stokes equations with nonhomogeneous boundary conditions and inertial algorithm. Furtheremore,we provide the erro... This paper deals with the inertial manifold and the approximate inertialmanifold concepts of the Navier-Stokes equations with nonhomogeneous boundary conditions and inertial algorithm. Furtheremore,we provide the error estimates of the approximate solutions of the Navier-Stokes Equations. 展开更多
关键词 Full Discrete nonlinear Galerkin Method Fractional Step Method Approximate Inertial Manifold navier-Stokes Equations.AMS Subject classification.65n30 65M60.
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Classification of the Index Sets of Low[n]~p and High [n]~p
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作者 眭跃飞 《Journal of Computer Science & Technology》 SCIE EI CSCD 1991年第3期285-290,共6页
In this paper we will first give the characterization of the p^-low p^-degree,and prove that a p.r.e. degree(?)contains a p^-speedable set A if and only if(?)′>P(?)′.Then we classify the index sets of Low[n]~p an... In this paper we will first give the characterization of the p^-low p^-degree,and prove that a p.r.e. degree(?)contains a p^-speedable set A if and only if(?)′>P(?)′.Then we classify the index sets of Low[n]~p and High[n]~p and prove that Low [n]~p is Σ~P[n+3]-complete and High [n]~p is Σ~P [n+4]-complete. 展开更多
关键词 classification of the Index Sets of Low[n p and High
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