The reactivity parameters,Q and e,in the Q-e scheme reflect the reactivities of a monomer(or a radical)in free-radical copolymerizations.By applying multiple linear regression(MLR)analysis,the optimal quantitative str...The reactivity parameters,Q and e,in the Q-e scheme reflect the reactivities of a monomer(or a radical)in free-radical copolymerizations.By applying multiple linear regression(MLR)analysis,the optimal quantitative structure-activity relationship(QSAR)model for the reactivity parameter lnQ was developed based on five descriptors(NAF,NOF,EαLUMO,EβHOMO,and EβLUMO)and 69 monomers with the root mean square(rms)error of 0.61.The optimal MLR model of the parameter e obtained from five descriptors(TOcl,NpN,NSO,EαHOMO and DH)and 68 monomers produced rms error of 0.42.Compared with previous models,the two optimal MLR models in this paper show satisfactory statistical characteristics.The feasibility of combining 2D descriptors obtained from the monomers and 3D descriptors calculated from the radical structures(formed from monomers+H )to predict parameters Q and e has been demonstrated.展开更多
目的:探讨自动乳腺全容积成像技术(Automated Breast Volume Scan,ABVS)联合多种超声技术在乳腺癌新辅助化疗(Neoadjuvant Chemotherapy,NAC)疗效评估中的价值。方法:于2020年1月~2023年7月选取在本院接受治疗的乳腺癌患者40例作为研究...目的:探讨自动乳腺全容积成像技术(Automated Breast Volume Scan,ABVS)联合多种超声技术在乳腺癌新辅助化疗(Neoadjuvant Chemotherapy,NAC)疗效评估中的价值。方法:于2020年1月~2023年7月选取在本院接受治疗的乳腺癌患者40例作为研究对象,所有患者入院后均接受NAC治疗,并于化疗前后对所有患者进行ABVS检查与多种超声检查,观察ABVS联合多种超声技术的疗效评估价值。结果:化疗后所有患者肿瘤最大径、肿瘤面积、肿瘤体积等指标均明显小于化疗前(P<0.05)。化疗后患者的肿块大小、血流速度、阻力指数等指标均较化疗前更低(P<0.05)。ABVS联合多种超声技术对NAC治疗后疗效评估准确率为92.50%(37/40),灵敏度为93.75%(30/32),特异度为87.50%(7/8)。结论:ABVS联合多种超声技术可较为准确地对乳腺癌NAC疗效价值进行评估,有益于临床观察肿瘤病灶对NAC的疗效并及时做出判断。展开更多
基金supported by the National Natural Science Foundation of China(No.21472040)the Scientific Research Fund of Hunan Education Department(Nos.16A047 and 18A344)the Open Project Program of Hunan Provincial Key Laboratory of Environmental Catalysis & Waste Regeneration(Hunan Institute of Engineering)(2018KF11)
文摘The reactivity parameters,Q and e,in the Q-e scheme reflect the reactivities of a monomer(or a radical)in free-radical copolymerizations.By applying multiple linear regression(MLR)analysis,the optimal quantitative structure-activity relationship(QSAR)model for the reactivity parameter lnQ was developed based on five descriptors(NAF,NOF,EαLUMO,EβHOMO,and EβLUMO)and 69 monomers with the root mean square(rms)error of 0.61.The optimal MLR model of the parameter e obtained from five descriptors(TOcl,NpN,NSO,EαHOMO and DH)and 68 monomers produced rms error of 0.42.Compared with previous models,the two optimal MLR models in this paper show satisfactory statistical characteristics.The feasibility of combining 2D descriptors obtained from the monomers and 3D descriptors calculated from the radical structures(formed from monomers+H )to predict parameters Q and e has been demonstrated.
文摘目的:探讨自动乳腺全容积成像技术(Automated Breast Volume Scan,ABVS)联合多种超声技术在乳腺癌新辅助化疗(Neoadjuvant Chemotherapy,NAC)疗效评估中的价值。方法:于2020年1月~2023年7月选取在本院接受治疗的乳腺癌患者40例作为研究对象,所有患者入院后均接受NAC治疗,并于化疗前后对所有患者进行ABVS检查与多种超声检查,观察ABVS联合多种超声技术的疗效评估价值。结果:化疗后所有患者肿瘤最大径、肿瘤面积、肿瘤体积等指标均明显小于化疗前(P<0.05)。化疗后患者的肿块大小、血流速度、阻力指数等指标均较化疗前更低(P<0.05)。ABVS联合多种超声技术对NAC治疗后疗效评估准确率为92.50%(37/40),灵敏度为93.75%(30/32),特异度为87.50%(7/8)。结论:ABVS联合多种超声技术可较为准确地对乳腺癌NAC疗效价值进行评估,有益于临床观察肿瘤病灶对NAC的疗效并及时做出判断。
