MRtextureanalysisinthedifferentialdiagnosisofintracranialsolitaryfibroustumor/hemangiopericytomasandvascularmeningioma / 实用放射学杂志
Journal of Practical Radiology
;
(12): 523-526, 2019.
Article
in Chinese
| WPRIM
| ID: wpr-752386
ABSTRACT
Objective ToinvestigatethevalueofimagetextureanalysisbasedonconventionalMRimagesinthedifferentialdiagnosisof intracranialsolitaryfibroustumor/hemangiopericytoma(SFT/HPC)andvascularmeningiomas.Methods 12casesofSFT/HPCand 16casesofvascularmeningiomaconfirmedbypathologywerecollected.Variousdiscriminantanalysismethodsandimagetextureanalysis techniqueswereappliedtopre-operativeroutineMRIimagesofthebrain,andthebesttextureparameterswereselectedtoclassify cases,includinglineardiscriminantanalysis(LDA),nonlineardiscriminantanalysis(NDA),principalcomponentanalysis(PCA)and rawdataanalysis(RDA).Finally,thebestclassificationsequencetextureparameterswerechosenforstatisticalanalysis.Results The enhancedT1WIwasthebestclassificationsequence.ThePOE+ACC methodhadthelowestmisclassificationrate.Theabsolutegradient skewness,theautocorrelationofthecooccurrencematrix,andthevarianceofthehistograminthetexturefeaturesoftheSFT/HPC andvascularmeningiomasweredifferent(P<0.05).Conclusion ThatbasedontheconventionalMRimagetextureanalysiscanprovidemore quantitativeinformation,anew methodandideafortheidentificationofintracranialSFT/HPCandvascularmeningioma.
Full text:
Available
Index:
WPRIM (Western Pacific)
Language:
Chinese
Journal:
Journal of Practical Radiology
Year:
2019
Type:
Article
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