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Diffusion weighted imaging research in fetus with mild ventriculomegaly / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 726-730, 2017.
Article in Chinese | WPRIM | ID: wpr-609659
ABSTRACT
Objective To explore the diagnostic value of ADC values in fetus with mild ventriculomegaly.Methods Fifteen fetuses with mild ventriculomegaly (mild ventriculomegaly group) and fifteen healthy controls (control group) were scanned with DWI.The ADC values in bilateral frontal lobes,parietal lobes,temporal lobes,occipital lobes,basal ganglia,thalamus and cerebella were measured.The ADC values of mild ventriculomegaly group were compared with those of control group.And the ADC values in left regions were compared with those in right regions of fetuses with mild ventriculomegaly.The correlation between ADC values of all fetuses and gestational age,as well as the correlation between the diameters of ventriculomegaly in feutes with mild ventriculomegaly and gestational age were analyzed.Results Compared with control group,ADC values were lower in bilateral frontal lobes and parictal lobes in mild ventriculomegaly group (all P< 0.05).There were no significant differences of ADC values between left regions and right regions (all P>0.05).Correlation analysis showed that ADC values of all fetuses in bilateral occipital lobes,basal ganglia,thalamus,cerebella and left temporal lobe were negatively correlated with gestational age.The diameters of ventriculomegaly were positively correlated with gestational age (r=0.635,P=0.011).Conclusion The ADC values decrease in frontal lobes and parietal lobes in fetuses with mild ventriculomegaly.The ADC value may be more sensitive for detecting potential damage of brain,which is helpful for the diagnosis of fetus ventriculomegaly.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article