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23篇 您的检索式:作者名="SVETLANA G"
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1Value of two-phase dynamic multidetector computed tomography in differential diagnosis of post-inflammatory strictures from esophageal cancer显示文摘AIM: To characterize the computed tomography(CT) findings in patients with post-inflammatory esophageal strictures(corrosive and peptic) and reveal the optimal scanning phase protocols for distinguishing postinflammatory esophageal stricture and esophageal cancer.METHODS: Sixty-five patients with esophageal strictures of different etiology were included in this study: 24 patients with 27 histopathologically confirmed corrosive strictures, 10 patients with 12 peptic strictures and 31 patients with esophageal cancer were evaluated with a two-phase dynamic contrast-enhanced MDCT. Arterial and venous phases at 10 and 35 s after the attenuation of 200 HU were obtained at the descending aorta, with a delayed phase at 6-8 min after the start of injection of contrast media. For qualitative analysis, CT scans of benign strictures were reviewed for the presence/absence of the following features: 'target sign', luminal mass, homogeneity of contrast medium uptake, concentric wall thickening, conically shapedsuprastenotic dilatation, smooth boundaries of stenosis and smooth mucous membrane at the transition to stenosis, which were compared with a control group of 31 patients who had esophageal cancer. The quantitative analysis included densitometric parameter acquisition using regions-of-interest measurement of the zone of stenosis and normal esophageal wall and the difference between those measurements(ΔCT) at all phases of bolus contrast enhancement. Esophageal wall thickening, length of esophageal wall thickening and size of the regional lymph nodes were also evaluated. RESULTS: The presence of a concentric esophageal wall, conically shaped suprastenotic dilatation, smooth upper and lower boundaries, 'target sign' and smooth mucous membrane at the transition to stenosis were suggestive of a benign cause, with sensitivities of 92.31%, 87.17%, 94.87%, 76.92% and 82.05%, respectively, and specificities of 70.96%, 89.66%, 80.65%, 96.77% and 93.55%, respectively. The features that were most suggestive of a malignant cause were eccentric esophageal wall thickening, tuberous upper and lower boundaries of stenosis, absence of mucous membrane visualization, rupture of the mucous membrane at the upper boundary of stenosis, cup-shaped suprastenotic dilatation, luminal mass and enlarged regional lymph nodes with specificities of 92.31% 94.87%, 67.86%, 100%, 97.44%, 94.87% and 82.86%, respectively and sensitivities of 70.97%, 80.65%, 96.77%, 80.65%, 54.84%, 87.10% and 60%, respectively. The highest tumor attenuation occurred in the arterial phase(mean attenuation 74.13 ± 17.42 HU), and the mean attenuation difference between the tumor and the normal esophageal wall(mean ΔCT) in the arterial phase was 23.86 ± 19.31 HU. Here, 11.5 HU of ΔCT in the arterial phase was the cut-off value used to differentiate esophageal cancer from post-inflammatory stricture(P = 0.000). The highest attenuation of postinflammatory strictures occurred in the delayed phase(mean attenuation 71.66 ± 14.28 HU), and the mean ΔCT in delayed phase was 34.03 ± 15.94 HU. Here, 18.5 HU of ΔCT in delayed phase was the cut-off value used to differentiate post-inflammatory stricture from esophageal cancer(P < 0.0001).CONCLUSION: The described imaging findings reveal high diagnostic significance in the differentiation of benign strictures from esophageal cancer.Grigory G Karmazanovsky Svetlana A Buryakina Evgeny V Kondratiev Qin Yang Dmitry V Ruchkin Dmitry V Kalinin 2015World Journal of Gastroenterology2015,21,29:3
2Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors显示文摘Background: The increasing availability of remotely sensed data has recently challenged the traditional way of performing forest inventories, and induced an interest in model-based inference. Like traditional design-based inference, model-based inference allows for regional estimates of totals and means, but in addition for wall-to-wall mapping of forest characteristics. Recently Light Detection and Ranging(LiDAR)-based maps of forest attributes have been developed in many countries and been well received by users due to their accurate spatial representation of forest resources. However, the correspondence between such mapping and model-based inference is seldom appreciated. In this study we applied hierarchical model-based inference to produce aboveground biomass maps as well as maps of the corresponding prediction uncertainties with the same spatial resolution. Further, an estimator of mean biomass at regional level, and its uncertainty, was developed to demonstrate how mapping and regional level assessment can be combined within the framework of model-based inference.Results: Through a new version of hierarchical model-based estimation, allowing models to be nonlinear, we accounted for uncertainties in both the individual tree-level biomass models and the models linking plot level biomass predictions with LiDAR metrics. In a 5005 km2 large study area in south-central Sweden the predicted aboveground biomass at the level of 18 m×18 m map units was found to range between 9 and 447 Mg·ha^-1. The corresponding root mean square errors ranged between 10 and 162 Mg·ha^-1. For the entire study region, the mean aboveground biomass was 55 Mg·ha^-1 and the corresponding relative root mean square error 8%. At this level 75%of the mean square error was due to the uncertainty associated with tree-level models.Conclusions: Through the proposed method it is possible to link mapping and estimation within the framework of model-based inference. Uncertainties in both tree-level biomass models and models linking plot level biomass with LiDAR data are accounted for, both for the uncertainty maps and the overall estimates. The development of hierarchical model-based inference to handle nonlinear models was an important prerequisite for the study.Svetlana Saarela AndréWästlund Emma Holmström Alex Appiah Mensah Sören Holm Mats Nilsson Jonas Fridman Göran Ståhl 2020Forest Ecosystems2020,7,3:3
3Phenol degradation by immobilized cold-adapted yeast strains of Cryptococcus terreus and Rhodotorula creatinivor显示文摘IRNA K SVETLANA G LUDMILA S 2006Extremophiles2006,,10:1
4Preparative isolation and purifieation of ginsenosides Re from the roots of panax gin- seng with a salt containing solvent system and flow step - gradient 显示文摘Qi x c Svetlana I Luo G 2010J Chromatogr A2010,1217,:1
5Phylogenetic relationships of the siberian iris species inferred from noncoding chloroplast DNAsequences显示文摘Irina M Kseniya G Svetlana Scherbik 0,,02:1
6Efficient reduction of chitosan molecular weight by high - intensity ultrasound : underlying mechanism and effect of process parameters 显示文摘TAO WU SVETLANA ZIVANOVIC DOUGLAS G 2008J Agric Food Chem2008,56,13:1
7Cell Biology Protocols显示文摘Svetlana G Osterman A L 2007John Wiley Prof''essio2007,,2:1
8Encephalomyocarditis virus (EMCV) proteins 2A and 3BCD localize to nuclei and inhibit cellular mRNA transcription but not rRNA transcriplion 显示文摘Aleksey G Aminev A Svetlana P 2003Virus Rec2003,95,:1
9Ageing and the mismatch repair system显示文摘Arie B Y Amiela G Svetlana K 2001Mech Ageing Dev2001,121,:1
10Role of Fat Hydrolysis in Regulating Glucagon-Like Peptide-1 Secretion显示文摘Svetlana Beglinger Juergen Drewe Joerg Schirra Burkhard G?ke Massimo D?Amato Christoph Beglinger 2010The Journal of Clinical Endocrinology & Metabolism2010,,2:1
11The potential advantages of nanoparticle drug delivery systems in chemotherapy of tuberculosis显示文摘SVETLANA G KENIN K MICHAEL D 2005Am J Respir Crit Care Med2005,172,:1
12Synthesis of graphite by chlorination of iron carbide at moderate temperatures 显示文摘Svetlana D Alexei N Yury G 2004Chem Mater2004,24,:1
13Nickel(Ⅱ)-,cobalt(Ⅱ)-,copper(Ⅱ)-,and zinc(Ⅱ)-phthalate and 1-methylimidazole coordination compounds:synthesis,crystal structures and magnetic properties显示文摘Svetlana G Baca Irina G Filippova Olesea A Gherco 2004Inorganica Chimica Acta2004,357,12:1
14The extraction of 3D shape from texture and shading in the human brain显示文摘Svetlana S G James T T Ronald P 2008Cerebral Cortex2008,18,:1
15Multiple enzymic activities of human milk lactoferrin显示文摘Tat'yana G Kanyshkova Svetlana E Babina Dmitry V Semenov 2003Eur J Biochem2003,270,:1
16Mortality of westem flower thrips,Frankliniella occidentalis,under influence of single and mixed fungal inoenlations显示文摘Svetlana G Vladimir G Margaret S 2008Journal of Agricultural Technology2008,4,2:1
17Chemically assisted microbial production of suecinie aeidby the yeast Yarrowia lipolytica grown on ethanol显示文摘Svetlana V K Alsu I Y Natalia G V 2009Appl Microbiol Biotechnol2009,83,:1
18Static bending and toughness of wood polymer composites (Yellow birch and basswood) 显示文摘Schneider Marc H Vasic Svetlana Lande Stig Phillips Jonathan G 2003Wood Science Technology2003,37,34:1
19Kinetic study of brilliant green adsorption from aqueous solution onto white rice husk ash 显示文摘MARIANA P T SVETLANA D G VELYANA G 2013Journal of Colloid and Interface Science2013,409,:1
20Bisoprolol vs. carvedilol in elderly patients with heart failure: rationale and design of the CIBIS-ELD trial显示文摘Hans-Dirk Düngen Svetlana Apostolovi? Simone Inkrot Elvis Tahirovi? Florian Krackhardt Milan Pavlovi? Biljana Putnikovi? Mitja Lain??ak G?tz Gelbrich Frank Edelmann Rolf Wachter Thomas Eschenhagen Finn Waagstein Ferenc Follath Mathias Rauchhaus Wilhelm Ha 2008Clinical Research in Cardiology2008,,9:1
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