Abstract
In this work, the related risk factors and perinatal outcomes of pregnant women with gestational diabetes mellitus (GDM) were analyzed based on color Doppler ultrasound (CDU) diagnosis. Backpropagation (BP) algorithm-based CDU imaging algorithm (BPC) was constructed in this study and applied in CDU images of 80 pregnant women with GDM. Besides, amplitude and phase estimation (APES) and low-complexity adaptive beam (LCA) algorithms were introduced for comparison with BPC in turn. It was found that Dice similarity coefficient (96.44%), sensitivity (95.45%), and specificity (91.56%) of BPC were greater than those of APES (83.97%, 85.84%, 78.45%) and LCA (84.74%, 86.29%, 82.35%), while its running time (6.44 ± 1.39 s) was shorter than that of APES (11.87 ± 2.41 s) and LCA (13.76 ± 1.54 s) ( P < 0.05 ). Pregnant women in the experimental group (group B) were older than those in the control group (group A) ( P < 0.05 ). The pulsatility index (PI) and renal artery resistance index (RI) of fetuses in group B (0.95 ± 0.15) were higher than those of group A (0.57 ± 0.24) ( P < 0.05 ). In addition, pregnancy age, family history of hypertension, and abortion history were positively correlated with GDM ( P < 0.05 ). In conclusion, BPC could not only improve diagnosis accuracy in fetuses’ CDU images but also shorten calculation time. Pregnancy age, family history of hypertension, and abortion history were the related risk factors for GDM in pregnant women.
Highlights
DM is a metabolic disease caused by a variety of pathogenic factors, which is mainly manifested as chronic hyperglycemia and characteristic of multisystem dysfunction caused by carbohydrate, fat, and protein metabolism [1]
gestational diabetes mellitus (GDM) is a type of DM which only appears or is diagnosed during pregnancy [2]; that is, the patient has glucose metabolism before pregnancy. e incidence of GDM is about 1%–14% worldwide while it is about 1%–5% in China. e GDM patients in China account for about 80% of pregnant women with DM, which has increased in recent years [3]. e GDM will weaken the heart function of the fetus and cause hypoxia or even asphyxia in the fetuses [4]. e clinical treatment process of GDM is very complicated, which puts both the mother and the fetus at risk. erefore, the exploration of risk factors for GDM is beneficial to reducing the incidence of perinatal complications [5]
It was found that the Dice similarity coefficient of APES was 83.97%, its Se was 85.84%, its Sp was 78.45%, and its running time was 11.87 ± 2.41 seconds. e Dice similarity coefficient, Se, Sp, and running time of low-complexity adaptive beam (LCA) were 84.74%, 86.29%, 82.35%, and 13.76 ± 1.54 seconds in turn
Summary
DM is a metabolic disease caused by a variety of pathogenic factors, which is mainly manifested as chronic hyperglycemia and characteristic of multisystem dysfunction caused by carbohydrate, fat, and protein metabolism [1]. E incidence of GDM is about 1%–14% worldwide while it is about 1%–5% in China. E clinical treatment process of GDM is very complicated, which puts both the mother and the fetus at risk. Erefore, the exploration of risk factors for GDM is beneficial to reducing the incidence of perinatal complications [5]. E blood flow signal obtained by autocorrelation technology is color-coded and superimposed on a two-dimensional image in real time. It has the advantages of two-dimensional ultrasound images and provides rich information on hemodynamics [8, 9]. Deep learning is a branch of machine learning.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
