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

Shu Zhao,Yuvaraja Teekaraman

doi:10.1155/2021/6179177

Abstract

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 (P > 0.05). Compared with group B, neonates' body weight in group A was decreased, while the maternal complication rate in group A was increased (P < 0.05). 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.

Highlights

Premature delivery is a common clinical phenomenon with relatively high clinical incidence. e occurrence of complications such as neonatal acute respiratory distress syndrome, cerebral hypoxia, and others is frequent, and some of the infants may have poor prognosis such as death, which seriously threatens the health and life safety of the newborn and affects the quality of the new generation [1, 2]
Convulsions, and changes in muscle tone in severe cases can lead to the occurrence of adverse prognosis such as disability and even neonatal death [14, 15]. is study focused on the incidence of complications in preterm infants. e results of this study showed that the incidence of neonatal hypoxic-ischemic encephalopathy was as high as about 28%
Erefore, this study analyzed the effects and safety of singleand multiple-course prenatal corticosteroids applied to threatened preterm delivery on neurological deficits and prognosis in preterm infants. e results of this study showed that single- and multiple-course prenatal corticosteroids applied to threatened preterm delivery had little difference in the incidence of hypoxic-ischemic encephalopathy in neonates, the serum neuron-specific enolase (NSE) concentration at birth and at 3 days of birth, the neonatal behavioral neurological score (NBNA) score, the incidence of respiratory distress syndrome (RDS), and the perinatal mortality rate. is was consistent with the results of Roberts et al (2017) [19] and Crowther et al (2019) [20]

Summary

Introduction

Premature delivery is a common clinical phenomenon with relatively high clinical incidence. e occurrence of complications such as neonatal acute respiratory distress syndrome, cerebral hypoxia, and others is frequent, and some of the infants may have poor prognosis such as death, which seriously threatens the health and life safety of the newborn and affects the quality of the new generation [1, 2]. MRI is the preferred method for assessing brain development [3]. MRI images do not have radiation damage and can observe the pathological changes of brain damage and reflect the early metabolic level to a certain extent. It is widely used in the research of neonatal ischemic hypoxic encephalopathy and other brain damage diseases. Medical image segmentation is a key link in the image processing process. After image is processed using clustering algorithms, image segmentation accuracy and detection accuracy are further optimized and improved [4]

Methods

Results

Conclusion