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Optimized Clustering Algorithm for Comparative Analysis of Different Prenatal Corticosteroid Neurological Deficits in Premature Infants through Magnetic Reasoning Imaging (MRI)

机译:优化聚类算法,用于通过磁性推理成像(MRI)过早婴幼儿不同产前皮质类固醇神经缺陷的比较分析

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Objective. This study aimed to explore the application of different prenatal corticosteroids in the assessment of neurological deficits and prognosis in premature infants through Magnetic Reasoning Imaging (MRI) under optimized cluster algorithm. Methods . 100 pregnant women with threatened preterm labor were retrospectively analyzed, in which 38 pregnant women with lasting threatened preterm labor (group A) were treated with multiple courses of antenatal corticosteroids (dexamethasone treatment) and 62 cases of pregnant women with threatened preterm labor (group B) were treated with single course of dexamethasone treatment. Craniocerebral MRI images based on optimal clustering algorithm were used to examine neonates. Neonatal hypoxic-ischemic encephalopathy (HIE) rate, serum neuron-specific enolase (NSE) concentration, neonatal behavioral neurological score (NBNA), respiratory distress syndrome (RDS) rate, perinatal mortality, neonatal birth weight, and maternal complications rate of two groups were compared. Results . Compared with other traditional image segmentation algorithms, this algorithm had the best segmentation effect, the shortest running time (1.43?s), the least number of iterations (5 times), and the highest segmentation accuracy (97.98%). There was no significant difference in the HIE rate, serum NSE concentration, NBNA score, RDS score, and perinatal mortality in group A and group B ( ). Compared with group B, neonates’ body weight in group A was decreased, while the maternal complication rate in group A was increased ( ). Conclusion . MRI images based on optimized clustering algorithm can be used in the diagnosis of neonatal hypoxic-ischemic encephalopathy. There is no significant difference in the application of different antenatal corticosteroids affecting premature nerve function defect and prognosis, but multiple courses of antenatal corticosteroids can affect neonatal body mass and increased maternal complications to a certain extent; therefore, before threatened premature delivery treatment, the pros and cons of multiple courses of antenatal corticosteroids should fully be considered and in the treatment, measures should be actively taken to alleviate the side effect.
机译:客观的。本研究旨在探讨不同产前皮质类固醇在优化聚类算法下通过磁性推理成像(MRI)在早产儿的评估中的应用。方法 。回顾性分析了100个受威胁的早产劳动力的孕妇,其中38名具有持久受威胁的早产(A组)的孕妇进行了多种产前病变醇(DexameLasone治疗)和62例孕妇的早产劳动力(B组)用单一的地塞米松治疗治疗。基于最佳聚类算法的颅脑MRI图像用于检查新生儿。新生儿缺氧缺血性脑病(HIE)率,血清神经元特异性烯醇酶(NSE)浓度,新生儿行为神经学评分(NBNA),呼吸窘迫综合征(RDS)率,围产期死亡率,新生儿出生体重,以及两组的母体并发症率比较了。结果 。与其他传统的图像分割算法相比,该算法具有最佳的分割效果,最短的运行时间(1.43?s),迭代数量最少(5次),以及最高的分割精度(97.98%)。 HIE率,血清NSE浓度,NBNA评分,RDS评分和A组和B()中的围产期死亡率没有显着差异。与B组相比,Neonates A组体重减少,而A组母体并发症率增加()。结论 。基于优化聚类算法的MRI图像可用于新生儿缺氧缺血性脑病的诊断。不同的产瓣皮质类固醇的应用没有显着差异,影响过早神经功能缺陷和预后,但多种产前皮质类固醇的课程可以影响新生儿体重并在一定程度上增加母体并发症;因此,在受威胁的过早递送治疗之前,应充分考虑多种疗程的产前皮质类固醇的优缺点,并在治疗中,应积极采取措施来缓解副作用。

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