靶Snake模型在早产儿脑室周围白质软化超声诊断中的应用研究

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Abstract Objective: To explore the value of quantified analysis of periventricular leukomalacia(PVL) using color Doppler ultrasound and Snake model medical image analysis software. Methods: The cranial ultrasound examination was performed in 120 premature infants with PVL within 7 days after birth. And 80 newborns were taken as control group. According to the gray anatomic distribution of ultrasound images, using the “manual analysis” to fix edge, five regions-of-interest(ROIs) were identified: basal ganglia, area around the anterior horn of lateral ventricle, area around cornu posterious ventriculi lateralis, choroid plexus and cerebellar vermis. Two consecutive images from each ROI were digitally stored. For off-line analysis, the ROI corresponding to each structure was delineated and the average gray value was calculated. Reproducibility of the experimental data(image analysis software variation, EV) and reproducibility(variation measurer, AV) were analyzed, with 95% confidence intervals to reflect its variability for 120 cases of premature infants with PVL. Results: The average gray values of basal ganglia, area around the anterior horn of lateral ventricle, area around cornu posterious ventriculi lateralis in premature infants with PVL were 130.64±4.12, 131.35±3.02 and 133.46±2.94, respectively, higher than those in control group(92.51±6.89, 81.64±2.78 and 85.75±3.65)(μ=44.49, 119.78, 97.57, P<0.01). The average gray values in choroid plexus and cerebellar vermis of PVL premature infants were 132.90±4.88 and 132.25±2.56, respectively, with no significant difference with control group(131.98±5.82, 131.43±4.47). The repeatability EV was 2.70%, reproducibility AV was 0.56%, and the repeatability and reproducibility(R&R) was 2.70% for premature infants with PVL. Conclusion: Quantitative analysis of ultrasonographic gray value of premature infants with PVL is characteristic by Snake model medical image analysis software, which can provide important information in the early diagnosis and in evaluating the prognosis of this disease.

Key words： Leukomalacia, periventricular Ultrasonography, Doppler, color

Received: 04 May 2016

PACS:	Ｒ742
	Ｒ445.1

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	HE Xue-hua
	GUAN Bu-yun
	ZHU Li-ling

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HE Xue-hua,GUAN Bu-yun,ZHU Li-ling. Ultrasonic diagnosis of premature infant with periventricular leukomalacia by Snake model software[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2016, 27(12): 842-846.

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http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2016/V27/I12/842

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