Detection of Gestational Diabetes Mellitus and Influence on Perinatal Outcomes from B-Mode Ultrasound Images Using Deep Neural Network

Yuhui Liu,Yang Zhang,Yu Wang,Rulei Cheng,M Pallikonda Rajasekaran

doi:10.1155/2021/2283768

Abstract

The study was intended to explore the risk factors of gestational diabetes mellitus (GDM) and their influence on perinatal outcomes through deep neural network (DNN)-based Doppler color ultrasound (B-mode ultrasound) images. Specifically, 75 women with GDM were selected as the experimental group, and 75 healthy pregnant women were selected as the control (Ctrl) group. DNN uses the unsupervised method to pretrain layer by layer and then uses the supervised method to accumulate parameters of each layer, which can obtain good performance. In this study, the risk factors of GDM and their influence on the perinatal outcomes were analyzed by DNN-based B-mode ultrasound images. It was found that pregnancy age was a risk factor for GDM (OR = 2.566), preference for sweets was a risk factor for GDM (OR = 1.678, P < 0.001 ), and family history of DM was also a risk factor for GDM (OR = 12.789, P < 0.001 ). The incidence of complications in the experimental group was higher than that in the Ctrl group ( P < 0.05 ). Therefore, the true positive recognition (TPR) rate of DNN was significantly higher than that of the traditional method, and the pregnancy age, the preference for sweets before pregnancy, and the family history of DM may be risk factors for GDM; also, GDM was an influencing factor for pregnancy outcome, neonatal outcome, and complications.

Highlights

Diabetes mellitus (DM) is a type of metabolic type disease caused by a variety of pathogenic factors, characterized by hyperglycemia
gestational diabetes mellitus (GDM) will weaken fetal heart function and cause neonatal hypoxia or even asphyxiation [4]. e clinical treatment process of pregnant women with DM is very complicated, which is risky for both mothers and children. erefore, GDM risk factors should be explored to reduce the occurrence of complications suffered by perinatal pregnant women and newborns [5]
75 women with GDM who visited the hospital from November 18, 2018, to October 20, 2019, were selected as the experimental group, and 75 healthy pregnant women were selected as the Ctrl group. e study has got permission from the medical ethics committee of the hospital, and the patients and their families have signed informed consent forms

Summary

Introduction

Diabetes mellitus (DM) is a type of metabolic type disease caused by a variety of pathogenic factors, characterized by hyperglycemia. GDM is a type of DM that only appears during pregnancy. E incidence of GDM around the world is about 1% to 14%, and that in China is about 1% to 5%, accounting for about 80% of pregnant women with DM, and it has increased in recent years [3]. GDM will weaken fetal heart function and cause neonatal hypoxia or even asphyxiation [4]. Erefore, GDM risk factors should be explored to reduce the occurrence of complications suffered by perinatal pregnant women and newborns [5]. Doppler ultrasound was adopted to detect GDM, analyze its risk factors, and explore the influence of these risk factors on the perinatal outcomes

Methods

Results

Discussion

Conclusion