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AFP、CEA、CA724、CA125联合胃蛋白酶原检测对早期胃癌的诊断价值

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河北医药 2024年第5期46卷 709-712页

作者：郭博伟殷晓霞张凡河北北方学院附属第一医院病理科河北省张家口市075000

目的探讨甲胎蛋白(AFP)、癌胚抗原(CEA)、癌抗原72-4(CA724)和癌抗原12-5(CA125)联合胃蛋白酶原(PG)在胃癌患者早期中的诊断及预后评估中的价值。方法选取2017年2月至2019年2月确诊的96例胃癌患者作为观察组,106例胃炎患者作为良性组,10... 详细信息

目的探讨甲胎蛋白(AFP)、癌胚抗原(CEA)、癌抗原72-4(CA724)和癌抗原12-5(CA125)联合胃蛋白酶原(PG)在胃癌患者早期中的诊断及预后评估中的价值。方法选取2017年2月至2019年2月确诊的96例胃癌患者作为观察组,106例胃炎患者作为良性组,108例体检的健康受试者作为对照组。分析比较不同组别的血清AFP、CEA、CA724、CA125和PG之间的数据差异和阳性检出率。采用受试者工作特征(ROC)曲线、曲线下面积(AUC),评价这些标志物对胃癌的诊断价值。结果CEA、CA125在观察组中的平均水平明显高于良性组和对照组(P0.05)。在阳性检出率方面,观察组CEA、CA125、CA724和PGR阳性检出率高于良性组和对照组(P<0.05)。联合检测观察组的阳性检出率高于良性组和对照组(P<0.05)。在针对不同标志物的单一诊断中,CEA、CA724、PGI和PGR表现出较高的AUC值,而联合检测这些标志物的AUC值为0.773,显示出更高的诊断性能。结论本研究强调了CEA、CA125、CA724和PGR在早期胃癌诊断中的重要性,特别是其在肿瘤患者和非肿瘤患者之间的显著差异。联合检测这些标志物显示出更高的诊断性能,为早期胃癌筛查和诊断提供了有力的支持,有望在临床实践中广泛应用。

关键词：早期胃癌血清肿瘤标志物胃蛋白酶原联合检测

基于对比增强CT的影像组学模型可预测乳腺癌患者的肿瘤浸润淋巴细胞水平

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影像科学与光化学 2024年第2期42卷 148-154页

作者：李永崔书君杨飞张凡殷晓霞河北北方学院附属第一医院医学影像部河北张家口075000 河北北方学院附属第一医院病理科河北张家口075000

目的:基于对比增强CT开发用于预测乳腺癌(BC)患者肿瘤浸润淋巴细胞(TIL)水平的新型影像组学模型。方法:回顾性纳入210名非特殊浸润性BC患者(训练集:147名,验证集:63名),使用Pyradiomics软件包提取患者对比增强CT图像中的高维影像组学特... 详细信息

目的:基于对比增强CT开发用于预测乳腺癌(BC)患者肿瘤浸润淋巴细胞(TIL)水平的新型影像组学模型。方法:回顾性纳入210名非特殊浸润性BC患者(训练集:147名,验证集:63名),使用Pyradiomics软件包提取患者对比增强CT图像中的高维影像组学特征,然后利用Mann-Whitney U检验、斯皮尔曼相关系数和最小绝对值收敛和选择算子(LASSO)算法进行特征逐步筛选。筛选后的最优特征通过非线性支持向量机(NLSVM)方法在训练集中开发了影像组学模型,并在验证集中对模型的判别能力进行验证。之后利用沙普利加和解释(SHAP)算法对模型进行全局解释与特征重要性排序。结果:模型训练组和验证组的曲线下面积(AUC)分别为0.824(95%CI:0.762~0.886)和0.766(95%CI:0.624~0.909),影像组学模型有3个正向影响特征与4个负向影响特征,其中log-sigma-5-0-mm-3D_firstorder_Maximum对模型的影响力最大,其值越大时,模型输出SHAP值越小。结论:基于对比增强CT的影像组学模型可以帮助临床医生在治疗前准确预测BC患者的肿瘤浸润淋巴细胞水平,促进BC患者的个性化治疗。

关键词：影像组学肿瘤浸润淋巴细胞乳腺癌预测模型

生物陶瓷iRoot BP Plus治疗年轻恒牙再生性牙髓的效果及对牙本质桥形成率、钙化物生成体积的影响

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中国美容医学 2024年第6期33卷 149-152页

作者：沈希明胡小伟闫昱辛樊文君殷晓霞杨娟张家口市口腔医院牙体牙髓科河北张家口075001 张家口市口腔医院儿童口腔科河北张家口075001 张家口市口腔医院牙周科河北张家口075001

目的:探究生物陶瓷iRoot BP Plus治疗年轻恒牙再生性牙髓的效果及对牙本质桥形成率、钙化物生成体积的影响。方法:回顾性分析2019年1月-2021年12月张家口市口腔医院收治的60例(共64颗患牙)年轻恒牙慢性根尖周炎患儿的临床资料,根据治疗... 详细信息

目的:探究生物陶瓷iRoot BP Plus治疗年轻恒牙再生性牙髓的效果及对牙本质桥形成率、钙化物生成体积的影响。方法:回顾性分析2019年1月-2021年12月张家口市口腔医院收治的60例(共64颗患牙)年轻恒牙慢性根尖周炎患儿的临床资料,根据治疗方式不同进行分组,其中将接受常规三氧化矿物凝聚体(Mineral trioxide aggregate,MTA)支架再生牙髓手术者纳入MTA组(n=29,共31颗患牙),接受生物陶瓷iRoot BP Plus支架再生牙髓手术者纳入iRoot BP Plus组(n=31,共33颗患牙)。比较两组临床疗效、牙本质桥形成率、钙化物生成体积及根管改善情况,并随访术后1年患牙的恢复情况。结果:iRoot BP Plus组临床总有效率为93.94%,高于MTA组的74.19%(P<0.05)。术后1个月及术后3个月,iRoot BP Plus组牙本质桥形成率与钙化物生成体积均高于MTA组(P<0.05)。术后3个月,两组患牙根管长度及根管壁厚度均较术前增加,且iRoot BP Plus组高于MTA组(P<0.05)。术后1年,iRoot BP Plus组根尖孔封闭、萌出高度增加及牙色泽正常比例均高于MTA组(P<0.05)。结论:生物陶瓷iRoot BP Plus治疗年轻恒牙再生性牙髓的疗效确切,能有效促进牙本质桥与钙化物的形成,且有助于根管改善与患牙恢复,值得临床推广应用。

关键词： iRoot BP Plus 年轻恒牙再生性牙髓牙本质桥钙化物牙髓手术

Classifiers fusion for improved vessel recognition with application in quantification of generalized arteriolar narrowing

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Journal of Innovative Optical Health Sciences 2020年第1期3卷 48-81页

作者： xiaoxia yin Samra Irshad Yanchun Zhang Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou 510006P.R.China Institute for Sustainable Industries and Liveable Cities Victoria University Melbourne Australia

This paper attempts to estimate diagnostically relevant measure,i.e.,Arteriovenous Ratio with an improved retinal vessel classification using feature ranking strategies and multiple classifiers decision-combination *** features exploited for retinal vessel characterization are based on statistical measures of histogram,different filter responses of images and local gradient *** feature selection process is based on two feature ranking approaches(Pearson Correlation Coefficient technique and Relief-F method)to rank the features followed by use of maximum classification accuracy of three supervised classifiers(κ-Nearest Neighbor,Support Vector Machine and Naïve Bayes)as a threshold for feature subset *** vessels are labeled using the selected feature subset and proposed hybrid classification scheme,i.e.,decision fusion of multiple *** comparative analysis shows an increase in vessel classification accuracy as well as Arteriovenous Ratio calculation *** system is tested on three databases,a local dataset of 44 images and two publically available databases,INSPIRE-AVR containing 40 images and VICAVR containing 58 *** local database also contains images with pathologically diseased *** performance of the proposed system is assessed by comparing the experimental results with the gold standard estimations as well as with the results of previous ***,an accuracy of 90.45%,93.90%and 87.82%is achieved in retinal blood vessel separation with 0.0565,0.0650 and 0.0849 mean error in Arte-riovenous Ratio calculation for Local,INSPIRE-AVR and VICAVR dataset,respectively.

关键词： Hypertensive retinopathy retinal vessel classification optic disk arteriovenous ratio region of analysis support vector machine

Natural products from untapped sources as a potent reserve against antimicrobial resistance crisis

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Chinese Journal of Natural Medicines 2024年第7期22卷 577-579页

作者： GU xiaoxia SUN Weiguang HU Zhengxi Hubei Key Laboratory of Natural Medicinal Chemistry and Resource Evaluation School of PharmacyTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China

Since the discovery of penicillin in 1928,antibiotics have revolutionized modern medicine by effectively treating infectious diseases and saving countless ***,the widespread development of antimicrobial resistance(AMR)now threatens the efficacy and longevity of these critical drugs.A study published in The Lancet reported that bacterial AMR contributed to approximately 4.95 million deaths globally in 2019,with 1.27 million directly attributable to AMR(Fig.1)[1].Natural products(NPs)continue to play a crucial role in discovering new antibiotics.

关键词： Natural products Untapped sources Antimicrobial resistance

Bald Eagle Search Optimization Algorithm Combined with Spherical Random Shrinkage Mechanism and Its Application

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Journal of Bionic Engineering 2024年第1期21卷 572-605页

作者： Wenyan Guo Zhuolin Hou Fang Dai xiaoxia Wang Yufan Qiang Department of Applied Mathematics School of ScienceXi'an University of TechnologyXian 710054ShaanxiChina

Over the last two decades,stochastic optimization algorithms have proved to be a very promising approach to solving a variety of complex optimization *** eagle search optimization(BES)as a new stochastic optimization algorithm with fast convergence speed has the ability of prominent optimization and the defect of collapsing in the local *** avoid BES collapse at local optima,inspired by the fact that the volume of the sphere is the largest when the surface area is certain,an improved bald eagle search optimization algorithm(INMBES)integrating the random shrinkage mechanism of the sphere is ***,the INMBES embeds spherical coordinates to design a more accurate parameter update method to modify the coverage and dispersion of the ***,the population splits into elite and non-elite groups and the Bernoulli chaos is applied to elite group to tap around potential solutions of the *** non-elite group is redistributed again and the Nelder-Mead simplex strategy is applied to each group to accelerate the evolution of the worst individual and the convergence process of the *** results of Friedman and Wilcoxon rank sum tests of CEC2017 in 10,30,50,and 100 dimensions numerical optimization confirm that the INMBES has superior performance in convergence accuracy and avoiding falling into local optimization compared with other potential improved algorithms but inferior to the champion algorithm and ranking *** three engineering constraint optimization problems and 26 real world problems and the problem of extracting the best feature subset by encapsulated feature selection method verify that the INMBES’s performance ranks first and has achieved satisfactory accuracy in solving practical problems.

关键词： Bald eagle search optimization algorithm Spherical coordinates Chaotic variation Simplex method Encapsulated feature selection

An image segmentation framework for extracting tumors from breast magnetic resonance images

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Journal of Innovative Optical Health Sciences 2018年第4期11卷 1-15页

作者： Le Sun Jinyuan He xiaoxia yin Yanchun Zhang Jeon-Hor Chen Tomas Kron Min-ying Su School of Computer and Software Nanjing University of Information Science and Technology P.R.China Center for Applied Informatics Victoria University Australia Center for Functional Onco-Imaging of the Department of Radiological Sciences University of California Irvine USA Department of Radiology E-Da Hospital and I-Shou University KaohsiungTaiwan Peter MacCallum Cancer Centre Australia

Magnetic resonance imaging(MRI)has been a prevalence technique for breast cancer ***-aided detection and segmentation of lesions from MRIs plays a vital role for the MRI-based disease *** are two main issues of the existing breast lesion segmentation techniques:requir ing manual delineation of Regions of Interests(ROIs)as a step of initialization;and requiring a large amount of labeled images for model construction or parameter lear ning,while in real clinical or experimental settings,it is highly challenging to get suficient labeled *** resolve these issues,this work proposes a semi-supervised method for breast tumor segmentation based on super voxel *** image segmentation with advanced cluster techniques,we take a supervised learning step to classify the tumor and nontumor patches in order to automatically locate the tumor regions in an MRI To obtain the opt imal performance of tumor extraction,we take extensive experiments to learn par ameters for tumor segmentation and dassification,and design 225 classifiers corresponding to diferent parameter *** call the proposed method as Semi supervised Tumor Segmentation(SSTS),and apply it to both mass and nonmass *** results show better performance of SsTS compared with five state of-the art methods.

关键词： Breast lesion image segmentation MRI

Spatial patterns of zooplankton abundance,biovolume,and size structure in response to environmental variables:a case study in the Yellow Sea and East China Sea

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Journal of Oceanology and Limnology 2024年第1期42卷 113-127页

作者： Song SUN Haochen XIAN xiaoxia SUN Mingliang ZHU Mengtan LIU Key Laboratory of Marine Ecology and Environmental Sciences Institute of OceanologyChinese Academy of SciencesQingdao 266071China Jiaozhou Bay National Marine Ecosystem Research Station Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China Laboratory for Marine Ecology and Environmental Science Laoshan LaboratoryQingdao 266237China

The Yellow Sea(YS)and East China Sea(ECS)are highly dynamic marginal seas of the northwestern Pacific *** gain an in-depth understanding of zooplankton community structure,zooplankton abundance,biovolume,and size structure in summer 2017 in the YS and ECS were assessed using ZooScan imaging *** abundance and biovolume ranged 2.94–1187.14 inds./m^(3)and 3.13–3438.51 mm^(3)/m^(3),*** on the biovolume data of the categorized size classes of 26 identified taxonomic groups,the zooplankton community was classified into five groups,and each group was coupled with distinctive oceanographic *** the influence of the Yellow Sea Cold Water Mass,the Yellow Sea offshore group featured the lowest bottom temperature(10.84±3.42℃)and the most abundant Calanoids(mainly in the 2–3 mm size class).In the Yellow Sea inshore group,Hydrozoans showed the largest biovolume and dominated in the 3–4-mm and>5-mm size *** East China Sea offshore group,which was affected by the Kuroshio Branch Current,featured high temperature and salinity,and the lowest bottom dissolved oxygen(2.58±0.5 mg/L).The lowest values of zooplankton abundance and biovolume in the East China Sea offshore group might be attributed to the bottom dissolved oxygen *** East China Sea inshore group,which was mainly influenced by the Zhejiang-Fujian Coastal Current and Changjiang Diluted Water,was characterized by high chlorophyll a and the largest biovolume of carnivorous Siphonophores(280.82±303.37 mm^(3)/m^(3)).The Changjiang River estuary offshore group showed the most abundant Cyclopoids,which might be associated with the less turbid water mass in this *** temperature was considered the most important factor in shaping the size compositions of Calanoids in different groups.

关键词： zooplankton size structure ZooScan Yellow Sea East China Sea

Global Research Progress on Municipal Waste and Future Prospect Based on the Cross-national Comparisons

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Chinese Geographical Science 2024年第2期34卷 250-264页

作者： ZHANG Yuxin LIU Xiaoqian YAN xiaoxia MA Sike MAO Weiyun College of Applied Arts and Science of Beijing Union University Beijing 100191China

Due to the acceleration of urbanization,the municipal waste(MW)problem has transformed into a global challenge for urb-an *** elucidate historical trends,current focal points,and future directions in MW research,we conducted a bibliometric analysis and employed knowledge graph visualization to scrutinize a total of 34212 articles,which were published between 1991 and 2021 in the Web of Science(WoS)core *** results indicated that current major research themes encompass waste classifica-tion and recycling,waste management and public behavior,waste disposal methods and technologies,as well as environmental impact and *** has been a shift in the research focus from the environmental impacts of waste incineration to sustainable manage-ment related issues.A comparison of research from six typical countries revealed the differences in research priorities and techniques *** from the USA and Britain initiated MW research earlier than other countries and investigated management issues in depth,such as public behavior and willingness to ***,Japanese,German,and Swedish scholars conducted extensive studies on advanced waste treatment technologies,such as disposal and recycling,risk assessment,and waste-to-energy *** scholars placed particular emphasis on end-of-pipe treatments and their associated environmental *** and poten-tial future frontiers were identified by burst detection *** with high value of burst index(BI)worldwide are food waste and circular *** scholars have put great efforts on waste environmental impact and its recycling technologies,while we’re expecting to further investigating vulnerable ***,this study contributes to bridging the regional gap of scientific research among different countries and fostering international collaboration.

关键词： bibliometrics municipal waste(MW) CiteSpace hotspot prediction burst index(BI) sustainability cross-national comparison Web of Science(WoS)