乳腺肿块灰阶超声造影与预后因子相关性分析

乳腺肿块灰阶超声造影与预后因子相关性分析

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页数:70页

时间:2019-02-01

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1、上海交通大学医学院硕士学位论文英文摘要CorrelationbetweenPrognosticFactorswithGray-scaleContrast-enhancedUltrasoundinBreastTumorsAbstractPartIQualitativeAnalysisofGray-scaleContrast-enhancedUltrasoundParametersinBreastTumorsObjectiveToexploretheclinicaldiagnosticvalueofthequalitativ

2、eparametersofcontrast-enhancedultrasound(CEUS)inbreasttumors.MethodsCEUSwascarriedoutin151patientswithbreasttumorsforpreoperativepreparation.EsaoteMylab90(Esaote,Genoa,Italy)wasperformedwithSonoVue(SonoVue,Bracco,Italy).Theparametersthatweobservedwereasfollows:en

3、hancementorder,thedistributionofperfusion,non-perfusioninthemass,peakintensity,boundaryconditions,peripheralpenetratingvessels,non-perfusionintheouter1/2oftumor,non-perfusionintheinternal1/2oftumor,areawithoutperfusion,coursesofinternalvessels,dilateddegreeofinte

4、rnalvessels,vascularperfusionform,numbersofmajorfeedingarteries,wash-intime,timetopeak,wash-outtimeandcalculatethedifferencebetweenthethreetime.ResultsBetween108malignantand43benigntumor,thesize(P=0.000)、distributionpatterns(P=0.001)、non-perfusioninthemass(P=0.00

5、0)、boundaryconditions(P=0.000)、non-perfusionintheouter1/2oftumor(P=0.001)、non-perfusionintheinternal1/2oftumor(P=0.013)、areawithoutperfusion(P=0.019)、coursesofinternalvessels(P=0.000)、dilateddegreeofinternalvessels(P=0.000)andotherparameterswerestatisticallysigni

6、ficant.Moreover,thesensitivityofnon-perfusioninIV万方数据上海交通大学医学院硕士学位论文英文摘要themasswasthehighest(88.9%),andthespecificityofboundaryconditionswasthehighest(90.7%).Betweenbenignandmalignanttumor,timeparametersofperfusion(P>0.05)andnumbersofmajorfeedingarteries(P=0.196)

7、wasnotstatisticallysignificantdifferent.Analysisofmorphologicalclassificationoftumorperfusion,presenceofperipheralpenetratingvessels,presenceofcoarsecircularorsemi-circularrimperfusionmaybemalignantcharacteristicperformance.ConclusionContrast-enhancedultrasoundca

8、nshowthemicrovascularperfusioninbreasttumors,andqualitativeanalysisofperfusioncharacteristicscanhelptodeterminebenignityormalignancy.PartIIDifferentObservation

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