Your browser doesn't support javascript.
loading
Correlation of intraoperative ultrasonography and immunohistochemical markers expression in glioma / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 831-835, 2018.
Artigo em Chinês | WPRIM | ID: wpr-706338
ABSTRACT
Objective To investigate the correlation between intraoperative ultrasonographic features and expression of immunohistochemical markers in patients with glioma.Methods Totally 116 patients with glioma confirmed pathologically were collected.Ultrasonic features were observed,including the main site of the tumor,maximum diameter,border,cystic degeneration,calcification,the degree of peritumoral edema and CDFI blood flow classification,and the correlation between ultrasonographic features and immunohistochemical results such as Ki-67 and isocitrate dehydrogenase 1 (IDH1) was analyzed.Results Univariate analysis showed that the border,peritumoral edema and CDFI blood flow were significantly different between negative and positive Ki-67 expression patients (P< 0.01).The border,cystic degeneration and peritumoral edema were distinct between negative and positive IDH1 patients (P<0.01).Multivariate analysis showed that gliomas with clear border,high degree of peritumoral edema and rich CDFI blood flow tended to show positive Ki-67 expression,while those with vague border,low degree of peritumoral edema were frequently accompanied by positive IDH1 expression.Conclusion The border of gliomas,peritumoral edema and blood flow showed on ultrasonography may predict the expression of Ki-67 and IDH1.It is of great significance for preliminary evaluation on biological behaviors and prognosis of the tumors before surgical operation.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2018 Tipo de documento: Artigo

Similares

MEDLINE

...
LILACS

LIS

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2018 Tipo de documento: Artigo