# Diagnostic Value and High-Risk Factors of Two-Dimensional Ultrasonography Combined with Four-Dimensional Ultrasonography in Prenatal Ultrasound Screening of Fetal Congenital Malformations

Authors: Xinyou Yu; Fang Liu; Wei Gao; Xiangrong Shi; Ruiping Lu; Lihua Pan
Journal: Computational and Mathematical Methods in Medicine
 (2022)

---

## Abstract

Objective. This study mainly analyzes the diagnostic value of two-dimensional ultrasonography (2D-US) combined with four-dimensional ultrasonography (4D-US) in prenatal ultrasound screening of fetal congenital malformations (CMs) and explores the high-risk factors affecting fetal malformations. Methods. The clinical and imaging data of 2247 pregnant women who underwent prenatal fetal malformation screening in the General Hospital of Ningxia Medical University between February 2020 and October 2021 were collected and analyzed, retrospectively. All pregnant women underwent 2D-US, and those with suspected fetal malformations were further inspected by 4D-US. The accuracy of ultrasound examination results relative to actual pregnancy outcomes was analyzed, taking the neonatal malformation after induced labor or actual delivery as the gold standard, and the risk factors influencing the occurrence of fetal malformations were discussed. Results. A total of 87 cases (3.87%) of fetal malformations were detected out of the 2247 parturients examined. The accuracy, sensitivity, and specificity of 2D-US diagnosis were 81.40%, 43.68%, and 82.92%, respectively, while the data were 83.67%, 51.72%, and 84.95% for 4D-US, respectively, and 93.59%, 90.80%, and 93.70%, respectively, for 2D-US +4D-US. The combined diagnosis of 2D-US +4D-US achieved statistically higher accuracy, sensitivity, and specificity than either of them alone. One-way analysis of variance and multivariate logistic regression analysis identified that the independent risk factors affecting fetal malformation were age≥35, history of adverse pregnancy and childbirth, medication during pregnancy, toxic exposure during pregnancy, and history of seropositive for TORCH-IgM. Folic acid supplementation was a protective factor. Conclusions. Prenatal US is an effective approach for screening fetal malformations. 2D-US +4D-US can effectively improve the diagnostic rate of fetal malformations. For pregnant women with high-risk factors, prevention should be given priority, and prenatal screening and prenatal diagnosis should be standardized to reduce the occurrence of fetal malformations.


---

## Body

## 1. Introduction

Birth defects (BDs) are an important cause of infant mortality and lifelong disability [1]. According to the 2010 Global Burden of Disease Study, BDs, which lead to 6.4% of neonatal deaths, rank fifth among all causes of death [2] and place an enormous burden on families and society. Notably, the impact of BDs is particularly severe in low- and middle-income countries, including China. Approximately 900,000 babies are born with BDs every year in China, accounting for 5.6 percent of all births, according to a 2012 Report on The Prevention of Birth Defects in China [3]. Fetal structural malformation refers to fetal structural or chromosomal abnormalities occurring in utero due to its own genetic factors or maternal or external environmental factors, which accounts for over 90% of BDs and is one of the prime reasons for perinatal death. Studies have shown that about 2-3% of pregnancies are complicated with fetal structural abnormalities [4–6]. Generally speaking, it will lead to a series of deformities of different human systems in fetuses, such as nervous system, cardiovascular system, genitourinary system, and limb skeletal system, which has a great impact on the life and health quality of fetuses [7–9].Ultrasound screening for fetal structural abnormalities is a routine component of prenatal care in resource-rich countries. Antenatal examination for structural abnormalities provides prospective parents with an opportunity to obtain early information about fetal structural abnormalities, including the nature, etiology, prognosis, and the feasibility of prenatal or postpartum treatment [10]. Prenatal screening can reduce the birth rate of malformed fetuses, which not only improves the quality of newborns but also promotes the development of every family and society at large [11]. Screening for chromosomal abnormalities is mainly based on the detection of serum in the second trimester of pregnancy. If abnormalities are indicated, further diagnosis can be made by amniocentesis or ultrasonography. Once the chromosome abnormalities is confirmed, the pregnancy will be terminated [12]. However, despite the high diagnostic accuracy of amniocentesis, puncturing or terminating a pregnancy in the second trimester can cause great harm to pregnant women, so finding a noninvasive and high-accuracy method for chromosomal abnormality screening is of utmost importance. As the most commonly used prenatal noninvasive examination method, ultrasound plays a critical role in fetal malformation and chromosome screening [13, 14]. At present, two-dimensional ultrasonography (2D-US) has become the main and routine method for prenatal screening because of its advantages of low cost, noninvasiveness and no X-ray exposure [15]. However, 2D-US is limited by the fact that its plane image can only show one side of the fetus, with limited detection metrics [16]. Studies have shown that the missed diagnosis or misdiagnosis of fetal craniocerebral abnormalities may be due to artifacts caused by umbilical cord interference [17]. Therefore, if fetal abnormalities are suspected on 2D-US and clearer images are needed for further evaluation, an examination modality with more advanced imaging capabilities is required. Four-dimensional ultrasonography (4D-US) is generated from continuous 3D images [18], which allows continuous monitoring of the fetal face and surface, including real-time movement and sharper images, giving a clear view of the fetus’ overall appearance and fine structure [19]. 4D-US provides additional benefits in evaluating fetal prenatal condition [20]. However, the final performance of obstetric ultrasound images depends on various factors such as fetal recumbent position, uterine wall, abdominal wall fat, amniotic fluid, and number of gestational fetuses [21].Therefore, if abnormalities are suspected on 2D ultrasound and clearer images and further evaluation are required, 4D ultrasound can be added to prenatal screening. This study retrospectively analyzed the ultrasonic features of 2247 pregnant women who were screened for prenatal fetal malformations. The main purpose was to explore the diagnostic effects of 2D-US and 4D-US on prenatal fetal malformations, and to compare the accuracy of their combined diagnosis and single diagnosis. Besides, we analyzed the risk factors related to malformations of fetuses with abnormal development, which is of great significance to improve the quality of birth population. The report is as follows.


## 2. Data and Methods

### 2.1. Study Population

The clinical and imaging examination data of 2247 pregnant women who underwent prenatal fetal malformation screening in the General Hospital of Ningxia Medical University between February 2020 and October 2021 were retrospectively analyzed. The age of the enrolled pregnant women was 20-40 years old, with an average of30.09±4.44 years old, and the gestational weeks ranged from 18 to 32 weeks, with a mean of 26.54±2.13 weeks. In terms of the types of parturients, there were 1157 primiparas and 1090 multiparas. Inclusion criteria: (1) normal intrauterine pregnancy; (2) single pregnancy; (3) those who underwent 2D-US and 4D-US examinations; (4) complete clinical, imaging, and follow-up data. Exclusion criteria: (1) twin or multiple pregnancies; (2) severe heart, liver, and kidney diseases; (3) severe mental illness; (4) blood diseases and autoimmune diseases; (5) incomplete clinical, imaging, and follow-up data. This study was reviewed and approved by the hospital ethics committee.


### 2.2. Inspection Methods

A total of 2247 pregnant women were examined by Voluson E8 color Doppler ultrasound scanner (GE Healthcare, USA) with a probe frequency of 5.0-7.0 MHz. During the 2D-US examination, all patients were placed in the supine position with the abdomen exposed, and all aspects of the fetus were comprehensively scanned according to a common operation standard to carefully observe the state, structure, and size of each part of the fetus. The biological indicators of the fetus, such as biparietal diameter, head circumference, femur length, humerus length, abdominal circumference, placental position, and amniotic fluid index and maximum depth, were measured. The integrity of fetal skull was observed, and the ossification degree of fetal brain structure was detected. In addition, the head circumference, biparietal diameter, and posterior fossa depth were measured, the fetal face was observed in multiple sections, and the spine was checked for continuity. The normal development of chest structures such as heart and lungs, as well as the growth and development of the fetus were strictly evaluated. For pregnant women with suspected fetal malformations, 4D-US examination was carried out using a special probe RAB4-8-D with a frequency of 2.5-7.0 MHz. The dynamic imaging of the fetus was presented to ensure the clarity of the image acquisition. The accuracy of inspection results relative to induced labor and fetal indicators after delivery was compared and analyzed. All prenatal ultrasound examiners have received unified provincial training on prenatal ultrasound diagnosis. To ensure the accuracy of diagnosis, all cases were diagnosed by sonographers with provincial prenatal screening and diagnosis qualifications.


### 2.3. Endpoints

Pregnant women with possible fetal malformations indicated by prenatal B-ultrasound screening were followed up, and the accuracy, sensitivity, and specificity of 2D-/4D-US as well as their combined examinations in the diagnosis of fetal malformations were determined, with the neonatal malformation of pregnant women after induced labor or actual delivery as the gold standard.Accuracy=truepositives+truenegatives/totalcases×100%. Sensitivity=truepositives/truepositives+falsenegatives×100%. Specificity=truenegatives/truenegatives+falsepositives×100%.The case data of pregnant women, including age, history of adverse pregnancy and childbirth, history of cold during pregnancy, history of medication during pregnancy, history of toxic exposure during pregnancy, and TORCH (toxoplasmosis, rubella, cytomegalovirus, and Herpes simplex virus) testing results of pregnant women, were investigated and analyzed by univariate and logistic regression analyses.


### 2.4. Statistical Analysis

The data of this study were tested by SPSS20.0 (IBM, NY, USA).Mean±SD was used to represent measurement data; for count data recorded as n (%), the chi-square test was used for comparison. The threshold of significance was P<0.05.


## 2.1. Study Population

The clinical and imaging examination data of 2247 pregnant women who underwent prenatal fetal malformation screening in the General Hospital of Ningxia Medical University between February 2020 and October 2021 were retrospectively analyzed. The age of the enrolled pregnant women was 20-40 years old, with an average of30.09±4.44 years old, and the gestational weeks ranged from 18 to 32 weeks, with a mean of 26.54±2.13 weeks. In terms of the types of parturients, there were 1157 primiparas and 1090 multiparas. Inclusion criteria: (1) normal intrauterine pregnancy; (2) single pregnancy; (3) those who underwent 2D-US and 4D-US examinations; (4) complete clinical, imaging, and follow-up data. Exclusion criteria: (1) twin or multiple pregnancies; (2) severe heart, liver, and kidney diseases; (3) severe mental illness; (4) blood diseases and autoimmune diseases; (5) incomplete clinical, imaging, and follow-up data. This study was reviewed and approved by the hospital ethics committee.


## 2.2. Inspection Methods

A total of 2247 pregnant women were examined by Voluson E8 color Doppler ultrasound scanner (GE Healthcare, USA) with a probe frequency of 5.0-7.0 MHz. During the 2D-US examination, all patients were placed in the supine position with the abdomen exposed, and all aspects of the fetus were comprehensively scanned according to a common operation standard to carefully observe the state, structure, and size of each part of the fetus. The biological indicators of the fetus, such as biparietal diameter, head circumference, femur length, humerus length, abdominal circumference, placental position, and amniotic fluid index and maximum depth, were measured. The integrity of fetal skull was observed, and the ossification degree of fetal brain structure was detected. In addition, the head circumference, biparietal diameter, and posterior fossa depth were measured, the fetal face was observed in multiple sections, and the spine was checked for continuity. The normal development of chest structures such as heart and lungs, as well as the growth and development of the fetus were strictly evaluated. For pregnant women with suspected fetal malformations, 4D-US examination was carried out using a special probe RAB4-8-D with a frequency of 2.5-7.0 MHz. The dynamic imaging of the fetus was presented to ensure the clarity of the image acquisition. The accuracy of inspection results relative to induced labor and fetal indicators after delivery was compared and analyzed. All prenatal ultrasound examiners have received unified provincial training on prenatal ultrasound diagnosis. To ensure the accuracy of diagnosis, all cases were diagnosed by sonographers with provincial prenatal screening and diagnosis qualifications.


## 2.3. Endpoints

Pregnant women with possible fetal malformations indicated by prenatal B-ultrasound screening were followed up, and the accuracy, sensitivity, and specificity of 2D-/4D-US as well as their combined examinations in the diagnosis of fetal malformations were determined, with the neonatal malformation of pregnant women after induced labor or actual delivery as the gold standard.Accuracy=truepositives+truenegatives/totalcases×100%. Sensitivity=truepositives/truepositives+falsenegatives×100%. Specificity=truenegatives/truenegatives+falsepositives×100%.The case data of pregnant women, including age, history of adverse pregnancy and childbirth, history of cold during pregnancy, history of medication during pregnancy, history of toxic exposure during pregnancy, and TORCH (toxoplasmosis, rubella, cytomegalovirus, and Herpes simplex virus) testing results of pregnant women, were investigated and analyzed by univariate and logistic regression analyses.


## 2.4. Statistical Analysis

The data of this study were tested by SPSS20.0 (IBM, NY, USA).Mean±SD was used to represent measurement data; for count data recorded as n (%), the chi-square test was used for comparison. The threshold of significance was P<0.05.


## 3. Results

### 3.1. Pregnancy Outcomes and Distribution of Fetal Malformations in Pregnant Women

A total of 87 cases (3.87%) of fetal malformations were detected in 2247 puerperae, including 21 neurological malformations, 15 cardiovascular malformations, 17 facial deformities, 5 digestive system malformations, 9 skeletal system deformity of extremities, 14 genitourinary system malformations, and 6 multiple malformations (Table1). 2D-US imaging features of two malformed fetuses are shown in Figure 1.Table 1
Distribution of fetal malformations.
Classification of fetal malformationsNumber of cases (n)Constituent ratio (%)Neurological malformation2124.14Cardiovascular system malformation1517.24Facial deformity1719.54Digestive system malformation55.75Skeletal system deformity of extremities910.34Genitourinary system malformation1416.09Multiple malformations66.90Total87100.00Figure 1
Two-dimensional ultrasonic imaging features of malformed fetuses ((a) two-dimensional ultrasonography shows a “crab pincer” splitting of one foot; (b) two-dimensional ultrasonography shows severe dilation to the stomach and duodenum near the obstruction, with fluid retention and double bubble signs).
(a)(b)


### 3.2. Comparison of 2D- and 4D-US Diagnosis of Fetal Malformations

The comparison results between different inspection methods and the gold standard, namely, the occurrence of neonatal malformations after induced labor or actual delivery, were shown in Table2. By calculation, it was found that the accuracy, sensitivity, and specificity of 2D-US diagnosis were 81.40%, 43.68%, and 82.92%, respectively, while the data for 4D-US were 83.67%, 51.72%, and 84.95%, respectively, and were 93.59%, 90.80%, and 93.70%, respectively, for 2D-US +4D-US. The combined diagnosis of 2D-US +4D-US achieved obviously higher accuracy, sensitivity, and specificity than either of them alone (Table 3).Table 2
Comparison of 2D-US, 4D-US, and their combined detection results with pregnancy outcomes.
Examination methodPregnancy outcomesTotalPositiveNegative2D-USPositive38 (1.69)369 (16.42)407 (18.11)Negative49 (2.18)1791 (79.71)1840 (81.89)4D-USPositive45 (2.00)325 (14.46)370 (16.47)Negative42 (1.87)1835 (81.66)1877 (83.53)Joint examinationPositive79 (3.52)136 (6.05)215 (9.57)Negative8 (0.36)2024 (90.08)2032 (90.43)Table 3
Diagnostic efficacy analysis of different detection methods.
Examination methodAccuracy (%)Sensitivity (%)Specificity (%)2D-US81.40∗43.68∗82.92∗4D-US83.67∗51.72∗84.95∗Joint examination93.5990.8093.70Note:∗P<0.05 vs. combination group.


### 3.3. Univariate Analysis of Risk Factors for Fetal Malformations

Univariate analysis showed thatage≥35, adverse pregnancy and childbirth history, folic acid (FA) supplementation, medication history during pregnancy, toxic exposure history during pregnancy, and history of seropositive for TORCH-IgM in pregnant women were related to fetal malformations, and the differences were statistically significant (P<0.05), as shown in Table 4.Table 4
Univariate analysis of risk factors for fetal malformation.
Risk factorsNormal fetal group (n=2160)Malformed fetus group (n=87)χ2PAge22.75100.0069<351651 (76.44)47 (54.02)≥35509 (23.56)40 (45.98)Adverse pregnancy and childbirth history29.3710<0.0001With590 (27.31)44 (50.57)None1570 (72.69)43 (49.43)Folic acid supplementation7.91510.0049Yes705 (32.64)41 (47.13)No1455 (67.36)46 (52.87)History of cold during pregnancy1.91310.1666Yes882 (40.83)42 (48.28)No1278 (59.17)45 (51.72)History of medication during pregnancy54.9810<0.0001Yes367 (16.99)42 (48.28)No1793 (83.01)45 (51.72)History of toxic exposure during pregnancy93.7010<0.0001Yes77 (3.56)22 (25.29)No2083 (96.44)65 (74.71)History79.8510<0.0001Yes74 (3.43)20 (22.99)No2086 (96.57)67 (77.01)


### 3.4. Multivariate Logistic Regression Analysis of Risk Factors for Fetal Malformations

Variables with significant differences in the univariate analysis were selected for further multivariate logistic regression analysis. It showed thatage≥35, history of adverse pregnancy and childbirth, history of medication during pregnancy, history of toxic exposure during pregnancy, and history of seropositive for TORCH-IgM in pregnant women were independently associated with increased risks of fetal malformations, while FA supplementation was a protective factor (P<0.05), as shown in Table 5.Table 5
Logistic regression analysis of risk factors for fetal malformations.
Risk factorsβSEPOR95% CIAge (0: <35, 1: ≥35)0.6960.2600.0072.0051.204-3.338History of adverse pregnancy and childbirth (0: no, 1: yes)2.0760.6370.0017.9742.288-27.793Folic acid supplementation (0: no, 1: yes)-3.2320.7900.0000.0390.008-0.186Medication history during pregnancy (0: no, 1: yes)2.1170.5300.0008.3062.941-23.461Toxic exposure during pregnancy (0: no, 1: yes)0.9590.3720.0102.6101.258-5.415History of seropositive for TORCH-IgM (0: no, 1: yes)0.8310.3480.0172.2961.160-4.542


## 3.1. Pregnancy Outcomes and Distribution of Fetal Malformations in Pregnant Women

A total of 87 cases (3.87%) of fetal malformations were detected in 2247 puerperae, including 21 neurological malformations, 15 cardiovascular malformations, 17 facial deformities, 5 digestive system malformations, 9 skeletal system deformity of extremities, 14 genitourinary system malformations, and 6 multiple malformations (Table1). 2D-US imaging features of two malformed fetuses are shown in Figure 1.Table 1
Distribution of fetal malformations.
Classification of fetal malformationsNumber of cases (n)Constituent ratio (%)Neurological malformation2124.14Cardiovascular system malformation1517.24Facial deformity1719.54Digestive system malformation55.75Skeletal system deformity of extremities910.34Genitourinary system malformation1416.09Multiple malformations66.90Total87100.00Figure 1
Two-dimensional ultrasonic imaging features of malformed fetuses ((a) two-dimensional ultrasonography shows a “crab pincer” splitting of one foot; (b) two-dimensional ultrasonography shows severe dilation to the stomach and duodenum near the obstruction, with fluid retention and double bubble signs).
(a)(b)


## 3.2. Comparison of 2D- and 4D-US Diagnosis of Fetal Malformations

The comparison results between different inspection methods and the gold standard, namely, the occurrence of neonatal malformations after induced labor or actual delivery, were shown in Table2. By calculation, it was found that the accuracy, sensitivity, and specificity of 2D-US diagnosis were 81.40%, 43.68%, and 82.92%, respectively, while the data for 4D-US were 83.67%, 51.72%, and 84.95%, respectively, and were 93.59%, 90.80%, and 93.70%, respectively, for 2D-US +4D-US. The combined diagnosis of 2D-US +4D-US achieved obviously higher accuracy, sensitivity, and specificity than either of them alone (Table 3).Table 2
Comparison of 2D-US, 4D-US, and their combined detection results with pregnancy outcomes.
Examination methodPregnancy outcomesTotalPositiveNegative2D-USPositive38 (1.69)369 (16.42)407 (18.11)Negative49 (2.18)1791 (79.71)1840 (81.89)4D-USPositive45 (2.00)325 (14.46)370 (16.47)Negative42 (1.87)1835 (81.66)1877 (83.53)Joint examinationPositive79 (3.52)136 (6.05)215 (9.57)Negative8 (0.36)2024 (90.08)2032 (90.43)Table 3
Diagnostic efficacy analysis of different detection methods.
Examination methodAccuracy (%)Sensitivity (%)Specificity (%)2D-US81.40∗43.68∗82.92∗4D-US83.67∗51.72∗84.95∗Joint examination93.5990.8093.70Note:∗P<0.05 vs. combination group.


## 3.3. Univariate Analysis of Risk Factors for Fetal Malformations

Univariate analysis showed thatage≥35, adverse pregnancy and childbirth history, folic acid (FA) supplementation, medication history during pregnancy, toxic exposure history during pregnancy, and history of seropositive for TORCH-IgM in pregnant women were related to fetal malformations, and the differences were statistically significant (P<0.05), as shown in Table 4.Table 4
Univariate analysis of risk factors for fetal malformation.
Risk factorsNormal fetal group (n=2160)Malformed fetus group (n=87)χ2PAge22.75100.0069<351651 (76.44)47 (54.02)≥35509 (23.56)40 (45.98)Adverse pregnancy and childbirth history29.3710<0.0001With590 (27.31)44 (50.57)None1570 (72.69)43 (49.43)Folic acid supplementation7.91510.0049Yes705 (32.64)41 (47.13)No1455 (67.36)46 (52.87)History of cold during pregnancy1.91310.1666Yes882 (40.83)42 (48.28)No1278 (59.17)45 (51.72)History of medication during pregnancy54.9810<0.0001Yes367 (16.99)42 (48.28)No1793 (83.01)45 (51.72)History of toxic exposure during pregnancy93.7010<0.0001Yes77 (3.56)22 (25.29)No2083 (96.44)65 (74.71)History79.8510<0.0001Yes74 (3.43)20 (22.99)No2086 (96.57)67 (77.01)


## 3.4. Multivariate Logistic Regression Analysis of Risk Factors for Fetal Malformations

Variables with significant differences in the univariate analysis were selected for further multivariate logistic regression analysis. It showed thatage≥35, history of adverse pregnancy and childbirth, history of medication during pregnancy, history of toxic exposure during pregnancy, and history of seropositive for TORCH-IgM in pregnant women were independently associated with increased risks of fetal malformations, while FA supplementation was a protective factor (P<0.05), as shown in Table 5.Table 5
Logistic regression analysis of risk factors for fetal malformations.
Risk factorsβSEPOR95% CIAge (0: <35, 1: ≥35)0.6960.2600.0072.0051.204-3.338History of adverse pregnancy and childbirth (0: no, 1: yes)2.0760.6370.0017.9742.288-27.793Folic acid supplementation (0: no, 1: yes)-3.2320.7900.0000.0390.008-0.186Medication history during pregnancy (0: no, 1: yes)2.1170.5300.0008.3062.941-23.461Toxic exposure during pregnancy (0: no, 1: yes)0.9590.3720.0102.6101.258-5.415History of seropositive for TORCH-IgM (0: no, 1: yes)0.8310.3480.0172.2961.160-4.542


## 4. Discussion

Prenatal invasive diagnosis such as amniocentesis remains the gold standard for diagnosing fetal chromosomal abnormalities. However, amniocentesis is a traumatic procedure that carries a high risk of infection and abortion, so most pregnant women are reluctant to undergo it [22]. At present, 2D-US is a routine approach to screen fetal malformations before delivery. However, it can only provide a cross-sectional image of a certain part of the fetus, which cannot show the subtle structural features of the fetus, nor can it provide clearer and more effective stereoscopic images [23]. With the advancement of modern medical technology and the trend of refinement of medical devices, 4D-US has become an important supplement to 2D-US [24].In this paper, 87 fetal malformations were detected among the 2247 parturients examined, accounting for 3.87%. The accuracy, sensitivity, and specificity of 2D-US diagnosis were 81.40%, 43.68%, and 82.92%, respectively, while were 83.67%, 51.72%, and 84.95%, respectively, for 4D-US, and 93.59%, 90.80%, and 93.70%, respectively, for 2D-US +4D-US. It indicates that the combined diagnosis of 2D-US +4D-US has significantly superior higher accuracy, sensitivity, and specificity to either 2D-US or 4D-US. These findings are consistent with those of Wang et al., who found that 2D-UD plus 4D-US can better identify various fetal brain abnormalities and provide early and more accurate information for clinicians and maternal patients to make decisions. In addition, 2D-US +4D-US has efficient application value in prenatal screening of fetuses at different gestational weeks. Deng et al. [25] found inferior diagnostic accuracy of 2D-US to 2D-US plus 4D-US for fetal anomaly at gestational week. Tudorache et al. [26] also reported that 2D-US and 4D-US are highly accurate tools for the early diagnosis of major congenital heart diseases by using high-quality systems and standard protocols.This study also explored and analyzed the risk factors leading to fetal malformations. The results showed thatage≥35, adverse pregnancy and childbirth history, medication history during pregnancy, toxic exposure history during pregnancy, and history of seropositive for TORCH-IgM in pregnant women were all independent risk factors for fetal malformations, while FA supplementation was a protective factor. According to the study of Ge et al. [27], advanced pregnancy is a high-risk pregnancy that is more prone to neonatal developmental malformations. In most cases, environmental factors such as exposure to certain drugs, infections, or radiation during pregnancy can cause fetal deformities, though sometimes genetic [28]. The history of medication during pregnancy is also critical to the development of fetal malformations. Misuse of progesterones, estrogens, and androgens early in pregnancy may potentially lead to fetal brain and skull malformations [29]. However, it is inevitable for pregnant women with underlying diseases to take drugs to stabilize their condition. A study evaluating fetal malformations and seizure control in epileptic patients after discontinuation of sodium valproate (VPA) found that reducing the dose of VPA before pregnancy reduces the risk of fetal malformations, while discontinuation of VPA reduces harm to the general population, but at the cost of reduced seizure control during pregnancy [30]. This study also suggests that preventive measures should be taken when taking medicine during pregnancy, preferably by seeking medical advice. Multiple scientific evidence suggests that the environment may be associated with the occurrence of congenital malformations (CMs) such as limb deformities, orofacial clefts, and male genitourinary development, as well as with spontaneous abortion, which is more severe when parents are exposed to toxic pesticides [30, 31]. Parental exposure to toxic agrochemicals may increase the chances of children being born with CMs, particularly those related to the male reproductive system [32]. Maternal infections transmitted in utero by multiple pathogens at different stages of pregnancy are primarily responsible for newborn and infant deaths worldwide, with TORCH infections long associated with poor obstetric outcomes [33]. A prospective study on the relationship between TORCH infections and CMs in China demonstrated that TORCH infections are an important risk factor for severe fetal injury, especially CMs [34].However, this study still has some limitations. First, we only studied patients during the second trimester of pregnancy and did not stratify the diagnostic value of 2D-US and 4D-US screening at different gestational weeks. Second, there were other risk factors that were not considered, such as radiation, smoking or drinking history of the husband, and genetic diseases. Thus, more research should be conducted to comprehensively analyze the diagnostic value of 2D-US and 4D-US in the screening of fetal congenital malformations.


## 5. Conclusion

To sum up, the combination of 2D- and 4D-DS can effectively improve the diagnosis rate of fetal malformations. The popularization of prenatal screening and timely prenatal diagnosis contributes to the reduction of newborn BDs. At the same time, pregnant women should stay away from environmental teratogenic factors and avoid all kinds of high-risk factors leading to fetal malformations and strengthen the awareness of prenatal and postnatal care, to improve the quality of birth population.



---

*Source: 7082832-2022-07-12.xml*