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Ultrasound in Diagnosis of Congenital Hypertrophic Pyloric Stenosis / 中国医学影像学杂志
Chinese Journal of Medical Imaging ; (12): 276-279,284, 2018.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-706455
Responsible library: WPRO
ABSTRACT
Purpose To explore the value of Doppler ultrasound in the diagnosis of congenital hypertrophic pyloric stenosis (CHPS) by observing pylorus. Materials and Methods Sixyt-five children with CHPS diagnosed by ultrasound in Neonatology Department of Guangzhou First People's Hospital from 2006 to 2015 were retrospectively analyzed. CHPS group and 50 infants in control group were examined by Doppler ultrasound to observe the features of blood flow distribution and blood flow grading, and Doppler spectrum analysis was performed to observe contrast agent passing through pyloric canal. Results The difference of the thickness of muscular layer and mucous layer, and that of the long diameter and inner diameter of pyloric canal in CHPS group and control group all suggested marked statistical significance (P<0.01); the blood flow grading in muscular layer and mucous layer between the two groups showed statistical significance (t=13.33 and 18.77, all P<0.01). The blood flow velocity in muscular layer of CHPS group was (16.96±0.91) cm/s, resistance index (RI) 0.68±0.33, inner diameter of pyloric canal (1.98±0.33) mm. Conclusion Doppler ultrasound enables us to grasp the distribution and grading of blood flow of pylorus as well as the condition of contrast agent passing through pyloric canal, in which way the degree of pyloric stenosis can be evaluated by combining indexes such as Vmax and RI, and an objective basis for clinical choice of treatment can be provided, possessing high application value.

Full text: Available Database: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Year: 2018 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Year: 2018 Document type: Article
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