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Bosniak分类在cT诊断肾脏囊性病变中的恶性率和诊断效能——系统性回顾与荟萃分析

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国际医学放射学杂志 2017年第4期 487-488页

作者： S.Sevcenco c.spick T.H.Helbich G.Heinz S.F.Shariat H.c.Klingler 朱珍 Department of Urology Medical University of Vienna

摘要目的系统性回顾文献中cT采用Bosniak分类在诊断恶性囊性病变中的诊断性能及恶性肿瘤的患病率。方法从1986年1月1日—2016年1月18日内选择预定的数据库进行检索。2位独立的研究者根据Bosniak分类并采用预定的标准提取数据中的恶性率...

摘要目的系统性回顾文献中cT采用Bosniak分类在诊断恶性囊性病变中的诊断性能及恶性肿瘤的患病率。方法从1986年1月1日—2016年1月18日内选择预定的数据库进行检索。2位独立的研究者根据Bosniak分类并采用预定的标准提取数据中的恶性率和几个变量。采用QUADAS-2评估研究质量。荟萃分析包括数据汇集、亚组分

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乳腺病变的扩散加权成像:兴趣区选择和不同ADc参数对表观扩散系数的影响

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国际医学放射学杂志 2017年第4期 481-481页

作者： H.Bickel K.Pinker S.Polanec H.Magometschnigg G.Wengert c.spick 朱珍 Division of Molecular and Gender Imaging Department of Biomedical Imaging and Image-Guided TherapyMedical University Vienna

摘要目的探讨兴趣区(ROI)的选择和表观扩散系数(ADc)参数的不同对于乳腺肿瘤ADc值、诊断效能、可重复性及测量时间的影响。方法本研究为伦理委员会批准的回顾性研究,纳入147例妇女(平均年龄53.2岁)经组织病理学证实的149个乳腺肿瘤(恶性...

摘要目的探讨兴趣区(ROI)的选择和表观扩散系数(ADc)参数的不同对于乳腺肿瘤ADc值、诊断效能、可重复性及测量时间的影响。方法本研究为伦理委员会批准的回顾性研究,纳入147例妇女(平均年龄53.2岁)经组织病理学证实的149个乳腺肿瘤(恶性109个,良性40个)。3位放射科医师独立测量病变ADc的最小值、平均值和最大值,每

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仅MRI显示的病变采用乳腺MRI简化分类系统(树形流程图)可减少非必要性活检

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国际医学放射学杂志 2017年第6期 736-736页

作者： R.Woitek c.spick M.Schernthaner M.Rudas P.Kapetas M.Bernathova 边泽宇 Department of Biomedical Imaging and Image-Guided Therapy Medical University of Vienna

摘要目的对于仅MRI显示的乳腺病变,评估树形流程图能否避免不必要的MR引导下活检。方法该回顾性研究经机构伦理委员会批准,评估仅于MRI上显示且在我院

关键词： MRI

MR引导下真空辅助乳腺活检仅MRI显示病变:单中心经验

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国际医学放射学杂志 2017年第1期 102-102页

作者： c.spick M.Schernthaner K.Pinker P.Kapetas M.Bernathova S.H.Polanec 陈丽华 Department of Biomedical Imaging and Image-guided Therapy Division of Molecular and Gender Imaging Medical University of Vienna (AKH)

摘要目的针对MR引导下真空辅助乳腺活检仅MRI显示的病变(MRI-only lesions),比较3种不同活检装置的假阴性及低估率。方法本回顾性单中心研究经IRB批准。免除

关键词： MRI 乳腺活检单中心 MR 真空辅助病变

Light sheet microscope scanning of biointegrated microlasers for localized refractive index sensing

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Photonics Research 2024年第8期12卷 1673-1680页

作者： ROSS c.cOWIE MARcEL ScHUBERT SUPA School of Physics and AstronomyUniversity of St AndrewsSt AndrewsUK Humboldt centre for Nano and Biophotonics Department of ChemistryUniversity of CologneCologneGermany

Whispering gallery mode(WGM)microlasers are highly sensitive to localized refractive index changes allowing to link their emission spectrum to various chemical,mechanical,or physical *** recently found applications in biological studies within single cells,in three-dimensional samples such as multicellular spheroids,or in ***,detailed studies of biological samples also need to account for the structural heterogeneity of tissues and live animals,therefore requiring a combination of high-resolution microscopy and laser ***,we design and construct a light sheet fluorescence microscope with a coupled spectrometer for use in microlaser studies for combined high-resolution,high-speed imaging and WGM spectral *** light sheet illumination profile and the decoupled geometry of excitation and emission hereby directly affect the lasing and sensing properties,mainly through geometric constraints and by light coupling *** demonstrate the basic working principle of microlaser spectroscopy under light sheet excitation and measure the absolute refractive index within agarose and in zebrafish tail muscle *** further analyze the light coupling conditions that lead to the occurrence of two separate oscillation *** so-called cross modes can be scanned around the entire microlaser surface,which allows to estimate a surface-averaged refractive index profile of the microlaser environment.

关键词： refractive index excitation

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Important step towards an understanding of the exotic Z_(c)(3900)

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Science china(Physics,Mechanics & Astronomy) 2024年第9期67卷 199-200页

作者： c.Hanhart Institute for Advanced Simulation Forschungszentrum JulichJilich D-52425Germany

The Standard Model of particle physics,which contains the field theories for the electro-weak interaction(QED)and the strong interaction(QcD),is an extremely successful theory describing a huge variety of phenomena at... 详细信息

关键词： interaction atomic describing

A toast to a zebrafish germ cell induction cocktail

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Science china(Life Sciences) 2024年第6期67卷 1314-1315页

作者： Mary c.Mullins Department of cell and Developmental Biology University of Pennsylvania Perelman School of MedicinePhiladelphia 19104USA

The zebrafish field is ringing in the new year with a publication from Yonghua Sun's laboratory(Wang et al.,2023)of a cocktail of germline factors that can induce all cells of the zebrafish embryo into primordial germ cells(PGcs)at phenomenal *** major advance is not only of great interest to germ cell biologists,but it has important applications to the entire zebrafish field,as shown in Wang et al.(2023).

关键词： fish zebra field

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Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： Leonardo Goliatt c.M.Saporetti L.c.Oliveira E.Pereira Department of computational and Applied Mechanics Federal University of Juiz de ForaJuiz de ForaBrazil Department of computational Modeling Polytechnic InstituteRio de Janeiro State UniversityNova FriburgoBrazil Petrobras Rio de JaneiroBrazil Department of Stratigraphy and Paleontology Rio de Janeiro State UniversityRio de JaneiroBrazil

Rock samples'TOc content is the best indicator of the organic matter in source *** origin rock samples’analysis is used to calculate it manually by *** method requires time and resources because it relies on samples from many well intervals in source ***,research has been done to aid this *** learning algorithms can estimate total organic carbon instead of well logs and stratigraphic *** light of these efforts,the current work present a study on automating the total organic carbon estimation using machine learning approaches improved by an evolutionary methodology to give the model flexibility and *** algorithms,differential evolution,particle swarm optimization,grey wolf optimization,artificial bee colony,and evolution strategies were used to improve machine learning models to predict *** six metaheuristics were integrated into four machine learning methods:extreme learning machine,elastic net linear model,linear support vector regression,and multivariate adaptive regression *** samples from the YuDong-Nan shale gas field,located in the Sichuan basin,were used to evaluate the hybrid *** findings show that combining machine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict *** results show that,independent of the metaheuristic used to guide the model selection,optimized extreme learning machines attained the best performance scores according to six *** hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated machine learning Evolutionary algorithms Geology

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