Value of conventional MRI features in solitary cerebral glioma grading / 西安交通大学学报(医学版)
Journal of Xi'an Jiaotong University(Medical Sciences)
; (6): 866-871, 2017.
Article
em Zh
| WPRIM
| ID: wpr-658159
Biblioteca responsável:
WPRO
ABSTRACT
Objective To evaluate the value of conventional MRI in determining high-or low-grade solitary cerebral glioma.Methods We divided 218 patients with solitary cerebral glioma confirmed by surgical pathology into low-grade group (n =134)and high-grade group (n =84).MRI features include the following:in contact with subventricular zone (SVZ ), tumor heterogeneity, tumor boundary, necrosis, hemorrhage, crossing midline, occupying effect,peritumoral edema,volume of enhancement,and enhanced inhomogeneity.The t-test,chi-square test and logistic regression analysis were used to evaluate the differences in age,gender and magnetic resonance imaging between the high-and low-grade glioma groups.MRI findings were then correlated with grade of gliomas. Results There was a significant difference in age between the two groups (P <0.001).There was no significant difference in men and women between the two groups (P =0.864).Seven out of ten MRI findings were identified to be significantly different between high- and low-grade groups.They were SVZ contact (P = 0.011 ),tumor heterogeneity (P <0.001),cystic change and necrosis (P =0.037),degree of edema (P =0.017),occupying effect (P = 0.009 ),tumor boundary (P < 0.001 ),and volume of enhancement (P < 0.001 ).Moreover,the logistic regression analysis indicated that age,cystic change and necrosis,tumor boundary,and volume of enhancement were independently associated with high-grade gliomas. Conclusion Conventional MRI findings are useful in determining high-or low-grade gliomas.Presence of the following MRI features suggests high-grade gliomas:older age,notable cystic changes and necrosis,unclear tumor boundary,and significant enhancement.
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Índice:
WPRIM
Tipo de estudo:
Prognostic_studies
Idioma:
Zh
Revista:
Journal of Xi'an Jiaotong University(Medical Sciences)
Ano de publicação:
2017
Tipo de documento:
Article