MRtextureanalysisinthedifferentialdiagnosisofintracranialsolitaryfibroustumor/hemangiopericytomasandvascularmeningioma
10.3969/j.issn.1002-1671.2019.04.003
- VernacularTitle:MR纹理分析鉴别颅内孤立性纤维瘤/血管外皮细胞瘤与血管型脑膜瘤的价值
- Author:
Fei XIONG
1
;
Chipeng WANG
;
Wencai HUANG
;
Huibin TAN
;
Ying WANG
;
Shun YAO
Author Information
1. 中国人民解放军武汉总医院放射科
- Keywords:
magneticresonanceimaging;
solitaryfibroustumor/hemangiopericytomas;
vascularmeningiomas;
textureanalysis
- From:
Journal of Practical Radiology
2019;35(4):523-526
- CountryChina
- Language:Chinese
-
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.
