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CT影像组学在非小细胞肺癌临床分期中的价值

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中华放射学杂志 2017年第12期51卷 906-911页

作者：何兰黄燕琪马泽兰梁翠珊黄晓媚程梓轩梁长虹刘再毅华南理工大学医学院广州510006 广东省医学科学院广东省人民医院放射科

目的探讨基于术前CT图像的影像组学预测模型在鉴别非小细胞肺癌（NSCLC）临床分期中的价值。方法回顾性分析2007年10月至2014年12月广东省人民医院，经手术病理证实、具有完整的术前胸部CT检查资料且术前常规检查等临床资料齐全的657例N... 详细信息

目的探讨基于术前CT图像的影像组学预测模型在鉴别非小细胞肺癌（NSCLC）临床分期中的价值。方法回顾性分析2007年10月至2014年12月广东省人民医院，经手术病理证实、具有完整的术前胸部CT检查资料且术前常规检查等临床资料齐全的657例NSCLC患者，将2007年10月到2012年4月的331例作为训练组，2012年5月到2014年12月的326例作为验证组。所有患者均行胸部CT平扫与增强扫描。按照术中及术后病理结果，对患者进行术后病理分期（PTNM），分为早期（Ⅰ、Ⅱ期）和晚期（Ⅲ、Ⅳ期）。采用基于Matlab 2014a软件的特征提取算法提取影像组学特征并进行特征筛选以建立影像组学标签。通过纳入影像组学标签及患者的临床资料建立多变量logistic回归模型，并进行模型简化及验证。采用ROC评价模型鉴别早期和晚期NSCLC的预测效能。结果建立的影像组学标签对于鉴别NSCLC术后病理分期具有较好的预测效能，训练组和验证组影像组学标签值鉴别临床分期的ROC下面积（AUC）分别为0.715（95%可信区间为0.709~0.721）和0.724（95%可信区间为0.717~0.731）。影像组学标签、肿瘤最大径、癌胚抗原水平和非小细胞肺癌抗原CYFRA21-1水平均为独立显著的危险因素。预测模型在训练组中鉴别预测效能的AUC为0.787（95%可信区间为0.781~0.793），敏感度为73.4%，特异度为72.2%，阳性预测值为0.707，阴性预测值为0.868；在验证样本中的AUC为0.777（95%可信区间为0.771~0.783），敏感度为91.3%，特异度为67.3%，阳性预测值为0.607，阴性预测值为0.946。结论通过联合基于术前胸部CT建立的影像组学标签及临床和实验室指标（术前癌胚抗原、CYFRA21-1水平及肿瘤最大径）建立的影像组学预测模型，对术前鉴别早期和晚期NSCLC具有价值。

关键词：肺肿瘤体层摄影术 X线计算机影像组学

Economic effect of China's carbon neutrality target under shared socioeconomic pathways

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Science China Earth Sciences 2025年第1期68卷 142-157页

作者： Zemiao liu Xianjin HUANG Xinxian QI School of Geography and Ocean Science Nanjing University Key Laboratory of Carbon Neutrality and Territory Optimization Ministry of Natural Resources Frontiers Science Center for Critical Earth Material Cycling Nanjing University

Economic feasibility is crucial for achieving the carbon neutrality target. However, current integrated assessments often underestimate the economic impacts of mitigation policies due to the lack of consideration of their economic benefits. This study integrates a warming-labour productivity model with a typical integrated assessment model using shared socioeconomic pathways. It simulates China's economic development and carbon emission levels under both baseline and carbon-neutral policy scenarios, evaluating the economic costs and benefits of emission reduction policies aimed at achieving carbon neutrality. These findings reveal the following:(1) The economic costs of emission reduction policies are projected to peak between 2050 and 2060, ranging from 0.41% to 9.37% of total GDP in the baseline scenario, primarily due to increased energy prices and R&D investments. These costs are expected to decline rapidly after 2070.(2) China's carbon-neutral policies will mitigate global warming, with the economic benefits of mitigation projected to reach 5.65% to 17.24% of China's total GDP by 2100.(3) Lowcarbon scenarios SSP1 and SSP4 could significantly reduce initial economic costs and advance the onset of net economic gains to 2060. This integrated assessment confirms that China's carbon neutrality target offers substantial net economic benefits in the long term. To minimize initial economic costs, efforts should focus on enhancing consumption-side transitions, upgrading lowcarbon technologies, and adopting new energy sources.

关键词： Climate change China Carbon neutrality Economic effects Policy

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Oxidation Resistance of Form-stable Hightemperature Phase Change Thermal Energy Storage Materials Doped by Impregnated Graphite

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 1-12页

作者： LI Baorang DAI Jianhuan ZHANG Wei liu Xiangchen YANG liu School of Energy Power and Mechanical Engineering North China Electric Power UniversityBeijing 102206China School of Ener-gy and Environment Southeast UniversityNanjing 210096China

We adopted the solution impregnation route with aluminum dihydrogen phosphate solution as liquid medium for effective surface modification on graphite *** mass ratio of graphite to Al(H_(2)PO_(4))_(3) changed from 0.5:1 to 4:1,and the impregnation time changed from 1 to 7 *** typical composite phase change thermal storage materials doped with the as-treated graphite were fabricated using form-stable *** investigate the oxidation and anti-oxidation behavior of the impregnated graphite at high temperatures,the samples were put into a muffle furnace for a cyclic heat *** on SEM,EDS,DSC techniques,analyses on the impregnated technique suggested an optimized processing conditions of a 3 h impregnation time with the ratio of graphite:Al(H_(2)PO_(4))_(3) as 1:3 for graphite impregnation *** investigations on high-temperature phase change heat storage materials doped by the treated graphite suggested excellent oxidation resistance and thermal cycling performance.

关键词： phase change materials graphite impregnation method oxidation,sintering thermal analysis

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支架材质对冠状动脉支架CTA成像影响

医学影像学杂志 2016年第7期26卷 1208-1211页

作者：刘健萍高明勇刘辉刘再毅梁长虹中山大学附属佛山医院影像科广东佛山528000 广东省人民医院放射科广东广州510080

目的分析支架材质对冠状动脉支架CTA成像的影响。方法回顾性分析60例冠状动脉支架CTA资料。以不同材质把支架分组并与金标准冠状动脉造影对照,评价不同材质支架组间CTA图像质量并比较组间CTA诊断冠状动脉支架再狭窄的准确性。结果 60例... 详细信息

目的分析支架材质对冠状动脉支架CTA成像的影响。方法回顾性分析60例冠状动脉支架CTA资料。以不同材质把支架分组并与金标准冠状动脉造影对照,评价不同材质支架组间CTA图像质量并比较组间CTA诊断冠状动脉支架再狭窄的准确性。结果 60例患者共置入95个支架,包含13种不同支架厂商产品,两种支架材质,分别是钴铬合金支架(22个)和不锈钢支架(73个)。钴铬合金支架较不锈钢支架伪影少,可评价率(86.7%vs 77.5%,P=0.002)、诊断准确性高(94.7%vs 71.2%,P=0.034)。结论钴铬合金支架较不锈钢支架伪影少,可评价率高,诊断准确性高,有利于冠脉支架CTA评价,值得推荐厂家采用的较理想的支架材质。不锈钢价值伪影相对较多,冠脉支架CTA评价准确率相对较低,值得引起临床及厂家的注意。

关键词：冠状动脉支架体层摄影术,X线计算机血管成像

Engineering nanoparticle structure at synergistic Ru-Na interface for integrated CO2 capture and hydrogenation

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Journal of Energy Chemistry 2025年第1期100卷 779-791页

作者： Hanzi liu Ling Cen Xinlin Xie Lei liu Zhao Sun Zhiqiang Sun Hunan Engineering Research Center of Clean and Low-Carbon Energy Technology School of Energy Science and Engineering Central South University

The development of dual functional material for cyclic CO2capture and hydrogenation is of great significance for converting diluted CO2into valuable fuels,but suffers from kinetic limitation and deactivation of adsorbent and ***,we engineered a series of RuNa/γ-Al2O3materials,varying the size of ruthenium from single atoms to clusters/*** coordination environment and structure sensitivity of ruthenium were quantitatively investigated at atomic *** findings reveal that the reduced Ru nanoparticles,approximately 7.1 nm in diameter with a Ru-Ru coordination number of 5.9,exhibit high methane formation activity and selectivity at 340°*** Ru-Na interfacial sites facilitate CO2migration through a deoxygenation pathway,involving carbonate dissociation,carbonyl formation,and ***-situ experiments and theoretical calculations show that stable carbonyl intermediates on metallic Ru nanoparticles facilitate heterolytic C–O scission and C–H bonding,significantly lowering the energy barrier for activating stored CO2.

关键词： Carbon capture and utilization

基于CT的影像组学术前预测胃癌Ki-67表达水平的研究

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基于深度学习的CT影像预测胃癌HER2状态

国际医学放射学杂志 2020年第6期43卷 631-638页

作者：董梦艺赵秉超李叶兴黄佳夏婷梁长虹刘再毅南方医科大学第二临床医学院广州510515 广东省人民医院放射科华南理工大学计算机科学与工程学院汕头大学医学院华南理工大学医学院

目的基于CT影像建立手工特征和深度学习特征的标签,并联合临床危险因素建立影像组学模型,探讨模型对术前胃癌病人Ki-67表达水平的诊断效能.方法回顾性收集2009年1月—2019年1月行上腹部CT增强扫描且术后行胃癌组织Ki-67表达水平检测的... 详细信息

目的基于CT影像建立手工特征和深度学习特征的标签,并联合临床危险因素建立影像组学模型,探讨模型对术前胃癌病人Ki-67表达水平的诊断效能.方法回顾性收集2009年1月—2019年1月行上腹部CT增强扫描且术后行胃癌组织Ki-67表达水平检测的468例胃癌病人的影像和临床病理资料,随机分为训练集(310例)和验证集(158例),并根据Ki-67表达水平将病人分为高表达组(训练集177例,验证集79例)和低表达组(训练集133例,验证集79例).在训练集中基于CT影像分别提取、筛选肿瘤的手工特征及深度学习特征以建立影像组学标签,并联合临床信息进行多因素逻辑回归分析,构建可术前个体化预测胃癌Ki-67表达水平的影像组学模型.采用受试者操作特征(ROC)曲线分别评价训练集与验证集中影像组学标签及联合模型预测Ki-67表达水平的效能,并计算曲线下面积(AUC).采用校准曲线评估联合预测模型术前预测Ki-67状态的结果与术后病理真实状态的拟合度,采用决策曲线分析(DCA)计算联合模型的净获益的阈值概率.采用独立样本t检验或卡方检验对高低表达组间的临床和病理特征、影像组学评分进行比较.结果最终获得与胃癌Ki-67水平显著相关的20个影像组学特征(9个手工特征,11个深度学习特征),结合多因素逻辑回归分析得到的临床危险因素(年龄)构建影像-临床联合预测模型,并将该模型可视化为诺谟图.ROC曲线示单纯的影像组学标签预测Ki-67表达水平的AUC在训练集和验证集分别为0.637(95％CI:0.570～0.704)和0.724(95％CI:0.641～0.807).加入了临床危险因素的联合模型可在术前更好地预测胃癌Ki-67表达水平,训练集和验证集的AUC分别为0.656(95％CI:0.589～0.724)和0.733(95％CI:0.650～0.816).校准曲线评估显示联合模型在验证集中有更好的拟合度,DCA表明影像组学联合模型具有良好的临床应用价值.结论基于CT影像建立的手工和深度影像组学标签,并结合临床危险因素建立的联合预测模型可作为术前评估胃癌病人Ki-67表达状态的一种无创性辅助工具,有利于协助临床决策,改善病人预后.

关键词：胃癌影像组学 Ki-67 体层摄影术,X线计算机诺谟图

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暨南大学学报（自然科学与医学版） 2023年第1期44卷 78-86页

作者：张昊辰邱炳江崔艳芬陈鑫姚丽莎刘再毅华南理工大学医学院广东广州510006 南方医科大学附属广东省人民医院(广东省医学科学院)放射科广东广州510080 广东省心血管病研究所广东省人民医院广东省医学科学院广东广州510080 广州市第一人民医院放射科广东广州510180 广东省医学影像智能分析与应用重点实验室广东广州510080

目的:构建并验证一个深度学习模型,旨在全自动流程地对胃癌病灶进行检出并预测胃癌患者人表皮生长因子受体(HER2)状态。方法:回顾性收集经手术病理证实为胃癌及明确HER2状态的135例胃癌患者CT及临床数据(HER2阴性88例;HER2阳性47例),随... 详细信息

目的:构建并验证一个深度学习模型,旨在全自动流程地对胃癌病灶进行检出并预测胃癌患者人表皮生长因子受体(HER2)状态。方法:回顾性收集经手术病理证实为胃癌及明确HER2状态的135例胃癌患者CT及临床数据(HER2阴性88例;HER2阳性47例),随机分为训练集(n=95)和验证集(n=40)。基于级联nnUNet神经网络建立胃分割模型和胃癌自动检出模型,选择合适区域,以此建立基于ResNet网络的HER2状态预测模型,并验证模型的预测性能。结果:胃分割模型五折交叉验证的Dice系数为91.4%。胃癌检出模型在训练集和验证集中检出率分别为96.8%和97.5%。HER2预测模型敏感度训练集为78.1%,95%置信区间(CI)(61.2%,88.9%);验证集为71.4%,95%CI (45.4%,88.3%)。特异性训练集为67.9%,95%CI (54.8%,78.6%);验证集为69.2%,95%CI (50.0%,83.5%)。ROC曲线下面积(AUC)训练集为84.0%,95%CI (76.4%,90.7%);验证集为78.6%,95%CI (65.9%,90.0%)。结论:本研究建立的胃癌HER2预测模型不仅可自动检出胃癌,还作为非侵入性工具在预测HER2状态方面具有良好性能,具有指导临床评估的价值。

关键词：胃癌深度学习人表皮生长因子受体2(HER2) 电子计算机断层摄影(CT)

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Boosting cationic and anionic redox activity of Li-rich layered oxide cathodes via Li/Ni disordered regulation

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Journal of Energy Chemistry 2025年第1期100卷 533-543页

作者： Zewen liu Zhen Wu Hao Wang Xudong Zhang Yuanzhen Chen Yongning liu Shengwu Guo Shenghua Chen Yanli Nan Yan liu State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong University School of Materials Science and Engineering Xi'an University of Architecture and Technology Hefei Advanced Computing Center Operation Management Corp Ltd Network Information Center Xi'an Jiaotong University

Lithium-rich layered oxides （LLOs） are increasingly recognized as promising cathode materials for nextgeneration high-energy-density lithium-ion batteries （LIBs）.However,they suffer from voltage decay and low initial Coulombic efficiency （ICE） due to severe structural degradation caused by irreversible O ***,we introduce a three-in-one strategy of increasing Ni and Mn content,along with Li/Ni disordering and TM–O covalency regulation to boost cationic and anionic redox activity simultaneously and thus enhance the electrochemical activity of *** target material,Li1.2Ni0.168Mn0.558Co0.074O2（L1）,exhibits an improved ICE of 87.2%and specific capacity of 293.2 mA h g-1and minimal voltage decay of less than 0.53 m V cycle-1over 300 cycles at 1C,compared to Li1.2Ni0.13Mn0.54Co0.13O2（Ls）(274.4 mA h g-1for initial capacity,73.8%for ICE and voltage decay of 0.84 mV/cycle over 300 cycles at 1C).Theoretical calculations reveal that the density of states （DOS） area near the Fermi energy level for L1 is larger than that of Ls,indicating higher anionic and cationic redox reactivity than ***,L1 exhibits increased O-vacancy formation energy due to higher Li/Ni disordering of 4.76%（quantified by X-ray diffraction Rietveld refinement） and enhanced TM–O covalency,making lattice O release more difficult and thus improving electrochemical *** increased Li/Ni disordering also leads to more Ni2+presence in the Li layer,which acts as a pillar during Li+de-embedding,improving structural *** research not only presents a viable approach to designing low-Co LLOs with enhanced capacity and ICE but also contributes significantly to the fundamental understanding of structural regulation in high-performance LIB cathodes.

关键词： Ice

Mesh-supported V2O5-WO3/TiO2 nanosheet array catalysts for efficient removal of NOx

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Tungsten 2025年第1期7卷 100-111页

作者： Zhi-Qi Zhang liu Yang Wen Luo Vladimir An Jing Li Bao-Dan liu School of Materials Science and Engineering Northeastern University Foshan Graduate School of Innovation Northeastern University Kizhner Research Center School of Advanced Manufacturing Technologies Tomsk Polytechnic University

The design and synthesis of vanadium-based denitration catalysts with low-temperature activity pose significant challenges in the field of toxic gas *** this study,we have developed a novel approach to fabricate highly efficient V2O5-WO3/TiO2monolithic mesh catalysts for NOxreduction at low ***,TiO2nanosheets with strong adhesion and large surface area were grown on Ti mesh using plasma electrolytic oxidation technology and hydrothermal ***,super-small traces of WO3and V2O5active nano-species were subsequently deposited on TiO2nanosheets using the deposition-precipitation *** to traditional ceramic-based V2O5-WO3/TiO2catalysts,our V2O5-WO3/TiO2monolithic mesh catalyst exhibits superior mechanical performance,excellent thermal conductivity,lower pressure drop,higher utilization of active components,and stronger synergistic ***,the V2O5-WO3/TiO2monolithic mesh catalysts exhibited excellent low-temperature catalytic activity with 98% of NOxconversion at 220℃,and remarkable long-term SO2tolerance and water resistance in the selective catalytic reduction（SCR） of NOxwith *** SCR reaction of tiny V2O5and WO3active species supported on TiO2nanosheets directly demonstrated to follow the Eley-Rideal mechanism by in situ infrared spectra.

关键词： Low temperature activity Monolithic mesh catalysts NH3-SCR SO2 tolerance V2O5-WO3/TiO2