mri增强后弥散加权成像对乳腺良、恶性肿瘤临床应用研究

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1、1．增强后采集的DWI图像，其SNR及CNR无明显差异，增强后进行DWI是可行的。2．ADC值、eADC值对乳腺良恶性病变的定性具有重要价值，无论增强前后，两者均具有较高的敏感度及特异度。3．增强扫描后乳腺癌ADC值明显减低、eADC值明显升高，而良性肿瘤的ADC及eADC值改变则无统计学差异，提示增强后进行DWI有助于提高其对乳腺良恶性病变的鉴别能力。【关键词】乳腺癌；磁共振弥散加权成像；表观弥散系数；指数表观弥散系数；Gd．DTPAEvaluationofdiffusion—weightedimagingaftercontrastfor【Objective】cha

2、racterizingbreasttumorsAbstractMagneticresonanceimagingiseme唱ingasapowerfulclinicaltoolfordetectingbreaStlesions，andDiffusionWeightedImaging(DWI)haSthecapabilitytoimprovesensitivityandspecificityfordetectingbreaStlesions．DWIisusuallyperformedbeforecontrastagents．IthaSbeenreportedthatiti

3、spossibleaftercontrast，buttheeffectsofcontraStagentonDWIvaluesinnormalbreaSttissueandinbreaStlesionshavenotyetbeenfullyexamined．Thepurposeofthisstudyistoevaluatetheeffectsofintravenousadministrationofgadolinium—DTPAondiffusionweightedimaging(DWI)ofbreastlesions，apparentdiffusioncoeffici

4、ent(ADC)andExponentApparentDiffusionCoefficient(eADC)values；toanalyzetheADCandeADCvaluesbetweenpre·。andpost_‘contraSt；andtoevaluatethediagnosticperformanceofADCandeADCvaluesaftertheadministrationofcontraStagentfordifferentiatingbenignfrommalignantlesions．【Methods】38histopathologicallyco

5、nfirmedbreaStlesions(meansize22nun)wereanalyzed．Alldatawereacquiredbeforeanyprimarysystemicchemotherapyorhormonaltherapy,eachcaSewaSconfirmedbyhistopathologyofspecimensobtainedbysurgeryorcoreneedlebiopsy．Patients’agerangedfrom23to80years(mean：40·8years)．Oftheanalyzedlesions，22werebenign

6、，includingfibroadenoma(n=17lesions)，intraductalpapilloma(n-2lesions)，sclerosingadenosis(n=1lesion)，cystichyperplasiaandadenomatoidproliferativenodule(n=llesion)，andphyllodetUlTIOrofthebreaSt(n51lesion)；16weremalignant，includinginfiltratingductalcarcinoma(n512lesions)，infiltratinglobular

7、carcinoma(n=3lesions)，ductalcarcinomainsitu(n=1lesion)．WeobtainedDWIimagesusingsingle—shotecho．planarimagingwithabvalueof800s／mm2．Patientswereinjectedwith0．1mmolgadopentetate4dimeglumineper1kgbodyweight．Thesignal-to-noiseratios(SNRs)ofthenormalbreastandthelesions，thecontrast-to