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Normal fetal echocardiography ratios - a multicenter cross-sectional retrospective study

  • Jiaoyang Xie , Zongjie Weng , Tingyang Yang , Hanbin Wu , Ni Peng , Hairui Wang , Ye Zhang , Jiancheng Han , Xueqin Ji , Xiaoli Liu , Lixin Zhang , Yihua He EMAIL logo and Xiaoyan Gu EMAIL logo
Published/Copyright: April 17, 2025

Abstract

Objectives

Normal fetal echocardiography ratios reflect blood flow balance and developmental patterns, providing a basis for more accurate diagnosis and prediction of congenital heart disease in fetuses. Despite its significance, standardized studies with ample samples are lacking. We aim to establish reference ranges for fetal cardiac structural parameters and hemodynamics using extensive multicenter data, including 11 ratios, and to clarify how these ratios change with gestational age.

Methods

This is a multicenter cross-sectional retrospective study. 23,313 normal fetal echocardiographic examinations were enrolled from three medical centers. Analysis included 11 fetal cardiac-related ratios, such as right/left heart diameter ratio, mitral and tricuspid valve E/A-wave velocity ratio. To determine the reference ranges for various ratios across different gestational ages, a nonparametric quantile regression model, which does not presuppose normality, was utilized. The study investigated how the ratios change with gestational age by examining nonparametric regression plots and their first and second derivatives.

Results

We established normal percentile reference ranges for 11 ratios at each gestational day. Analysis of ratio changes across gestation reveals several key patterns: The right heart system consistently dominates, with the right heart/left heart internal diameter ratio accelerating from 21.7 weeks of gestation; throughout fetal development, the E/A ratio of the mitral and tricuspid valves initially remains below one but increases progressively with gestational age, both reaching their maximum growth rates at week 25.7.

Conclusions

This study provides new references for routine obstetric screening, may enhance the understanding of the growth and developmental patterns of normal fetal hearts.

Objectives

Congenital heart disease (CHD) stands as the predominant birth defect, exhibiting an incidence rate of 8–12 ‰ and contributing to 10 % of neonatal mortalities [1]. Fetal echocardiography emerges as the premier prenatal diagnostic modality for CHD. Despite the formulation of guidelines and the advocacy for fetal heart-specific views in prenatal screening, the global prenatal diagnostic rate of CHD remains deficient, ranging from 13.2 to 86.7 %, averaging 43.1 % [2], 3]. While prenatal diagnosis of CHD predominantly adopts a qualitative approach, certain conditions like aortic coarctation and pulmonary valve stenosis often present alterations in cardiac chamber dimensions and major vessel diameters. Hence, quantitative assessment of cardiac parameters serves as the cornerstone for CHD diagnosis and prognosis. On the basis of qualitative diagnosis, quantitative diagnosis of fetal cardiac parameters has gradually gained attention. This approach not only enhances the detection rate of CHD but also reflects the physiological and pathological processes of embryonic development.

The fetal cardiovascular system operates via parallel circulation, striving for equilibrium between left and right heart systems and hemodynamics during fetal development. Pathological alterations in fetal CHD frequently manifest as disparities in cardiac structural parameters or hemodynamic irregularities [4]. Consequently, the examination of fetal ultrasound ratio parameters offers a more nuanced portrayal of the disease. Moreover, ratios, grounded on prior research and clinical expertise, offer enhanced intuitiveness and stability compared to individual parameters, bearing indispensable value in CHD diagnosis [5].

This study intends to establish the reference range of 11 important ratio parameters, such as fetal left and right heart development, inflow and outflow tracts. Additionally, it further explores how these ratios change with gestational age, may provide a foundation for disease diagnosis.

Methods

Study population

A retrospective analysis included 23,313 healthy fetuses from three medical institutions: Beijing Anzhen Hospital, Fujian Maternity and Child Health Hospital, and Ningxia Women and Children’s Hospital, from August 2010 to March 2023. Each fetus contributed data once, with gestational ages ranging from 16 to 37 weeks (25.61±2.53 weeks), divided into 10 units of 0.1 weeks. Maternal ages ranged from 17 to 45 years (31.71±4.13 years), with all fetuses of Han Chinese ethnicity. Gestational age was determined by the last menstrual period and fetal biometric measurements.

Inclusion criteria comprised: [1]: singleton pregnancy; [2] mid to late gestation; [3] comprehensive and normal fetal echocardiogram; [4] absence of maternal high-risk factors; [5] absence of intrauterine or extrauterine fetal abnormalities; [6] absence of fetal arrhythmias. Exclusion criteria included: [1] multiple pregnancies; [2] early gestation; [3] maternal conditions such as hypertension, hyperthyroidism, diabetes, liver disease, or other potentially fetal-affecting illnesses; [4] fetal intrauterine or extrauterine abnormalities; [5] arrhythmias; [6] intrauterine growth restriction.

The study adhered to the principles of the Helsinki Declaration and was approved by the Ethics Committees of Beijing Anzhen Hospital and the participating institutions. Written informed consent from prospective parents was waived by the ethics committees.

Data acquisition

Fetal echocardiographic assessments were performed using the Voluson E8 and E10 systems, Aloka 10 system, and Philips iU22 system, following guidelines from the American Society of Echocardiography and the International Society of Ultrasound in Obstetrics and Gynecology [3], [6], [7], [8], [9], [10]. The images were acquired on the machines and exported on hard drives and sent to Beijing Anzhen Hospital for subsequent analysis. All imagery, measurements, and clinical data were archived. Each fetus underwent a systematic fetal echocardiographic examination, with measurements conducted solely on zoomed-in images.

Study variables

Eleven cardiac and hemodynamic ratios were established from literature and institutional expertise (Table 1). Measurements were performed by operators with at least 5 years of experience, recorded as the mean of three measurements, and images were sent to Beijing Anzhen Hospital for analysis.

Table 1:

Ratios included in the study.

Two-dimensional heart structure ratio RA/LA RV/LV PA/AO
PA/DA CTAR
Hemodynamic ratio PV-Vs/AV-Vs DA-Vs/AA-Vs DA-Vd/AA-Vd
MV-E/A TV-E/A CPR
  1. CPR, cerebroplacental ratio; CTAR, cardiothoracic area ratio; DA-Vd/AA-Vd, ductus arteriosus peak velocity in diastole/aortic arch peak velocity in diastole ratio; DA-Vs/AA-Vs, ductus arteriosus peak velocity in systole/aortic arch peak velocity in systole ratio; MV-E/A, mitral valve E/A-wave velocity ratio; PA/AO, pulmonary artery/aortic diameter ratio; PA/DA, pulmonary artery/ductus arteriosus diameter ratio; PV-Vs/AV-Vs, pulmonary valve peak velocity in systole/aortic peak velocity in systole ratio; RA/LA, right atrial/left atrial diameter ratio; RV/LV, right ventricular/left ventricular diameter ratio; TV-E/A, tricuspid valve E/A-wave velocity ratio.

Statistical analysis

Test of normality

The Jarque-Bera test assessed data normality using skewness and kurtosis for overall and weekly gestational age data. Logarithmic transformations were re-evaluated, and Spearman correlation analysis was performed to assess relationships between parameters and gestational age.

Establishment of reference ranges

Linear and non-parametric quantile regression models were separately established. The linear model represented the quantile lines of each fetal cardiac parameter as first-order polynomials of specific percentiles for fetal age [11]. The non-parametric model utilized cubic spline smoothing regression for each fetal cardiac parameter [12]. Both models plotted regression lines for the 97.5th, 50th, and 2.5th percentiles. The 95 % confidence interval was delineated as the range between the 2.5th and 97.5th percentile lines.

To assess the goodness of fit of the two models, Akaike information criterion (AIC) values of the medians in both models were calculated and compared. Subsequently, the non-parametric quantile regression model with the lower AIC value was chosen to establish the reference ranges.

Using R software, all points on the 97.5th, 50th, and 2.5th percentiles of the non-parametric quantile regression model were extracted, denoted as (GAα, Rα), with a 0.1-week interval between each pair of adjacent GAα (where α represents percentiles 2.5, 50, and 97.5, GA represents gestational age, and R represents ratios). The 97.5th and 2.5th percentiles served as the upper and lower bounds of the normal range, respectively.

First and second derivative models based on non-parametric quantile regression

The first derivative of each line segment between adjacent points (GAα, Rα) on the non-parametric regression curve was computed. The formula for the first derivative was defined as: Dα=(Rα’ − Rα)/(GAα’ − GAα). Following the computation of all Dα values, the 97.5th, 50th, and 2.5th first derivative curves of each parameter against gestational age were plotted.

To accurately identify points of gestational age change in the first derivative, second derivative calculations were performed. The formula for the second derivative was defined as: SDα= (Dα’ − Dα)/(GAα’ − GAα). After computing all SDα values, the 97.5th, 50th, and 2.5th second derivative curves of each parameter against gestational age were plotted [13].

The first derivative was used to determine the magnitude and direction of changes in parameter ratios with respect to gestational age. The second derivative was employed to assess the acceleration of these ratios over time, allowing for the identification of inflection points in their change with gestational age. A second derivative absolute value less than 0.0005 was defined as approximately zero, indicating that the rate of change of the ratios during that gestational age interval was extremely low (Supplementary Figure S1).

Test of intra-observer and inter-observer variability

Fifty randomly selected studies were utilized to evaluate intra-observer and inter-observer variability. Inter-observer variability was evaluated by three observers performing fetal echocardiographic measurements without knowledge of other observers’ results. Three observers measured all parameters and repeated the measurements after 3–4 weeks. Intraclass correlation coefficients (ICC) were employed to determine consistency within and between observers.

Statistical analysis was conducted using Python and R software, version 4.3.2 (R Foundation for Statistical Computing). All statistical tests were two-tailed, with significance set at p<0.05. The flow chart of the overall research is shown in Figure 1.

Figure 1: 
Flow chart.
Figure 1:

Flow chart.

Results

  1. The 11 echocardiographic parameters for normal fetal hearts showed non-normal distributions from 16 to 37 weeks of gestation (p<0.01). The non-parametric quantile regression model yielded lower Akaike information criterion (AIC) values for median parameters compared to the linear model, indicating a better fit (Supplementary Table S1). This model established reference ranges for these parameters, providing normal percentiles from 16 to 37 weeks. The 95 % confidence intervals were defined, with the upper and lower bounds represented by the 97.5 and 2.5 % regression lines for each gestational age. Table 2 lists reference ranges for some ratios. Non-parametric quantile regression plots for right atrial/left atrial diameter ratio (RA/LA), right ventricular/left ventricular diameter ratio (RV/LV), pulmonary artery/aortic diameter ratio (PA/AO) and pulmonary valve peak velocity in systole/aortic peak velocity in systole ratio (PV-Vs/AV-Vs) are shown in Figure 2, with additional plots in Supplementary Figure S2. All ratios displayed weak correlations with gestational age.

  2. The patterns of change for the 11 ratios with gestational age were determined and categorized into four groups for analysis.

    1. Ratios related to left and right heart system growth and development (RA/LA, RV/LV, PA/AO, PV-Vs/AV-Vs) exhibited the following trends with gestational age:

During gestational weeks 16–37, the 50th percentiles of RA/LA, RV/LV, and PA/AO ratios were all greater than 1.0. Starting from gestational week 21.7, the growth rates of RA/LA and RV/LV ratios accelerated, continuing until weeks 25.5 and 27.3, respectively. The PA/AO ratio exhibited a gradual decrease in growth rate from weeks 16.0 to 26.0, stabilizing after week 26.0 with a change rate approaching zero.

Table 2:

Normal reference values of fetal cardiac ratios at the first day of each gestational age.

GA RA/LA RV/LV PA/AO PV-Vs/AV-Vs MV-E/A TV-E/A
2.5 % 97.5 % 2.5 % 97.5 % 2.5 % 97.5 % 2.5 % 97.5 % 2.5 % 97.5 % 2.5 % 97.5 %
16+0 0.94 1.29 0.92 1.22 1.04 1.39 0.65 1.27 0.42 0.71 0.46 0.76
17+0 0.94 1.29 0.92 1.22 1.04 1.39 0.64 1.25 0.42 0.72 0.46 0.77
18+0 0.93 1.28 0.92 1.22 1.04 1.40 0.63 1.23 0.43 0.73 0.47 0.77
19+0 0.93 1.28 0.92 1.22 1.05 1.40 0.62 1.21 0.43 0.74 0.47 0.77
20+0 0.93 1.28 0.92 1.22 1.05 1.41 0.62 1.20 0.44 0.75 0.47 0.78
21+0 0.93 1.28 0.92 1.22 1.05 1.41 0.61 1.18 0.44 0.75 0.47 0.78
22+0 0.93 1.28 0.92 1.22 1.06 1.42 0.60 1.16 0.45 0.76 0.48 0.79
23+0 0.93 1.28 0.92 1.22 1.06 1.42 0.59 1.15 0.45 0.77 0.48 0.80
24+0 0.93 1.28 0.92 1.22 1.06 1.42 0.58 1.13 0.46 0.78 0.49 0.80
25+0 0.94 1.29 0.92 1.22 1.06 1.43 0.58 1.13 0.46 0.79 0.49 0.81
26+0 0.94 1.29 0.92 1.22 1.06 1.43 0.58 1.13 0.47 0.80 0.50 0.82
27+0 0.94 1.30 0.93 1.22 1.06 1.43 0.58 1.13 0.48 0.82 0.50 0.83
28+0 0.95 1.30 0.93 1.23 1.06 1.43 0.59 1.14 0.49 0.83 0.51 0.84
29+0 0.95 1.31 0.93 1.23 1.06 1.43 0.59 1.14 0.49 0.84 0.51 0.85
30+0 0.95 1.31 0.94 1.24 1.06 1.43 0.59 1.15 0.50 0.85 0.51 0.85
31+0 0.96 1.32 0.94 1.24 1.06 1.43 0.60 1.15 0.50 0.85 0.52 0.86
32+0 0.96 1.32 0.94 1.25 1.07 1.43 0.60 1.16 0.51 0.86 0.52 0.86
33+0 0.97 1.33 0.95 1.25 1.07 1.43 0.60 1.16 0.51 0.87 0.52 0.87
34+0 0.97 1.33 0.95 1.26 1.07 1.43 0.60 1.16 0.51 0.87 0.53 0.87
35+0 0.97 1.34 0.95 1.26 1.07 1.43 0.60 1.17 0.51 0.88 0.53 0.87
36+0 0.98 1.34 0.96 1.27 1.07 1.43 0.60 1.17 0.52 0.88 0.53 0.88
37+0 0.98 1.35 0.96 1.27 1.07 1.43 0.60 1.17 0.52 0.88 0.53 0.88
  1. GA, gestational age; RA/LA, right atrial/left atrial diameter ratio; RV/LV, right ventricular/left ventricular diameter ratio; PA/AO, pulmonary artery/aortic diameter ratio; PV-Vs/AV-Vs, pulmonary valve peak velocity in systole/aortic peak velocity in systole; MV-E/A, mitral valve E/A-wave velocity ratio; TV-A, tricuspid valve A-wave velocity.

Figure 2: 
(A–D) Non-parametric quantile regression plots for RA/LA, RV/LV, PA/AO and PV-Vs/AV-Vs. The x-axis denotes gestational age, while the y-axis indicates the respective ratio values. The 50th percentile line is shown in green. The 97th and 2.5th percentile lines as upper and lower limits are shown in red.
Figure 2:

(A–D) Non-parametric quantile regression plots for RA/LA, RV/LV, PA/AO and PV-Vs/AV-Vs. The x-axis denotes gestational age, while the y-axis indicates the respective ratio values. The 50th percentile line is shown in green. The 97th and 2.5th percentile lines as upper and lower limits are shown in red.

Figure 3: 
(A–D) The first derivative plots for RA/LA, RV/LV, PA/AO, and PV-Vs/AV-Vs. The x-axis represents gestational age, and the y-axis signifies the corresponding first derivatives of the ratios. The 50th percentile line is shown in blue. The 97th and 2.5th percentile lines as upper and lower limits are shown in grey.
Figure 3:

(A–D) The first derivative plots for RA/LA, RV/LV, PA/AO, and PV-Vs/AV-Vs. The x-axis represents gestational age, and the y-axis signifies the corresponding first derivatives of the ratios. The 50th percentile line is shown in blue. The 97th and 2.5th percentile lines as upper and lower limits are shown in grey.

During gestational weeks 16–37, the 50th percentile of the PV-Vs/AV-Vs ratio was less than 1.0. From week 25.2 onwards, the growth rate of this ratio increased, indicating a significant rise in PV-Vs compared to AV-Vs after this gestational week. The first derivative images of RA/LA, RV/LV, PA/AO, and PV-Vs/AV-Vs ratios are shown in Figure 3, while the first derivative images of the remaining ratios are provided in Supplementary Figure S3.

  1. Ratios related to arterial duct (PA/DA, DA-Vs/AA-Vs, DA-Vd/AA-Vd) exhibited the following trends with gestational age:

The growth rate of DA-Vs/AA-Vs ratio began to increase from week 23.3. The 50th percentiles of DA-Vs/AA-Vs ratio were exceeding 1.0 from week 31.1. The ductus arteriosus peak velocity in diastole/aortic arch peak velocity in diastole ratio (DA-Vd/AA-Vd) was greater than 1.0 throughout weeks 16–37, with a rapid increase observed between weeks 29.0 and 32.0, followed by a steady growth rate after week 32.0.

The pulmonary artery/ductus arteriosus diameter ratio (PA/DA) ranged from 1.79 to 1.91 between weeks 16–37, with the growth rate of this ratio gradually slowing down from week 20.8 and continuing to do so until week 37. This suggests that the DA diameter and systolic flow rate showed notable increases from weeks 20.8–23.3, while diastolic flow rates increased significantly from week 29.0 onwards.

  1. Ratios related to ventricular diastolic function (MV-E/A, TV-E/A) exhibited the following trends with gestational age:

During gestational weeks 16–37, the 50th percentiles of MV-E/A and TV-E/A ratios were both less than 1.0, with the ratios increasing as gestational age progressed. The growth rate of MV-E/A consistently exceeded that of TV-E/A, although both reached their maximum growth rates at week 25.7.

  1. Other ratios (CPR, CTAR) exhibited the following trends with gestational age:

The cardiothoracic area ratio (CTAR) exhibited slow growth between weeks 16–37, with minimal rate changes. The 50th percentile of CPR was consistently above 1.0 during weeks 16–37, with an increasing growth rate. The fastest growth rate was reached between weeks 25.6 and 34.7.

  1. Inter-observer ICC and Intra-observer ICC for all absolute value parameters and ratio parameters included in this study are listed in Supplementary Table S2 and Supplementary Table S3. The results show that the average Inter-observer ICC and Intra-observer ICC for absolute values are 0.852 and 0.917, respectively, while for ratios, the average Inter-observer ICC and Intra-observer ICC are 0.900 and 0.927, respectively.

Discussion

CHD presents structural and hemodynamic changes on imaging. Ratio parameters related to fetal cardiac function reflects the balance between left and right heart systems, evolving with gestational age, and are applicable across diverse clinical contexts, unaffected by factors like race or weight [14]. Besides, we find that the reproducibility of ratios is superior to that of absolute values, likely because ratios eliminate errors introduced by measurement habits of the observers.

Previous studies on fetal cardiac ratio parameters have mainly targeted individual diseases or specific ratios [15], 16]. Our research, involving 23,313 normal fetuses, selected five cardiac structure and six hemodynamic ratio parameters. We aimed to systematically map fetal heart circulatory patterns reflecting growth. A large sample size allowed for daily gestational age detail, providing precise and broadly applicable reference ranges for normal echocardiographic parameters.

This study revealed that fetal cardiac ultrasound parameters, including logarithmic transformations, had skew distributions, making Z-scores unsuitable. We utilized quantile regression models to establish normal values, following similar approaches by Mosimann et al. [17] and Gu et al. [18] to enhance anomaly detection and provide a theoretical basis.

Left and right heart system development

Our study further confirms that during 16–37 weeks of gestation, the fetal heart exhibits right heart dominance. The right ventricle accounts for approximately 2/3 of the total ventricular output [19], the average pressure in the right atrium is 1–2 mmHg higher than in the left atrium, and the right heart experiences a greater workload, with an increase in both the number and volume of myocardial cells. Morphologically, the right heart’s internal diameter has always been larger than that of the left heart. We found that the ratios RA/LA and RV/LV began to increase more rapidly from 21.7 weeks, continuing to accelerate until 25.5 and 27.3 weeks, respectively, after which the growth rate remained constant. This indicates that during this period, the fetal heart and overall development enter a phase of rapid growth [20], 21]. The pronounced right heart dominance observed is due to this rapid growth phase. In late gestation, the constant growth rate is attributed to the decreased pressure load, with reductions in placental, pulmonary, and cerebral vascular resistance. Among these, placental vascular resistance is the primary factor affecting right heart afterload. Therefore, in late gestation, the reduction in right heart afterload is more pronounced, leading to increased right heart output and maintaining right heart dominance, with the ratio of right to left heart gradually increasing at a constant rate as gestational age progresses [22], 23].

PA/AO ratio consistently >1 from 16 to 37 weeks of gestation also reflects right heart dominance but does not show a growth pattern consistent with cardiac chambers. After 26 weeks of gestation, the PA/AO ratio growth rate stabilizes, indicating consistent aortic diameter development post-26 weeks. Notably, Sahn et al. [24] suggest minimal influence of perinatal circulation changes on aortic diameter size, as the PA/AO ratio only slightly decreases from 1.18±0.01 in the fetal period to 1.14±0.02 within 36 h after birth.

Arterial duct development

During fetal development, DA plays a vital role by receiving 80 % of its blood supply from PA to maintain circulatory balance. Sutton et al. [25] found that while fetal blood flow velocity in the DA is similar to that in the PA from 18 to 22 weeks of gestation, it notably exceeds pulmonary artery flow velocity after 22 weeks. Our research confirms this, focusing on the velocity ratio between the DA and aortic arch. We observed a surpassing of systolic flow velocity in the DA compared to the aortic arch after 23.3 weeks of gestation, and from 30.9 weeks onward, the DA’s flow velocity exceeds that in the aortic arch. This ductal constriction likely results from increased fetal lung perfusion as pregnancy progresses, leading to enhanced prostaglandin degradation [26].

Ventricular diastolic function

Fetal ventricular myocardial stiffness exceeds that of neonates or adults, with atrial contraction primarily driving ventricular filling [27]. This is reflected in the consistently lower maximum rate of active filling (E wave) compared to passive filling (A wave), resulting in an E/A ratio of less than 1. MV-E/A and TV-E/A can reflect ventricular diastolic function. Previous studies have shown that when the mother has diabetes, the MV-E/A and TV-E/A of the fetus are lower than those of normal fetuses [28]. This suggests a reduction in ventricular diastolic function in these fetuses. The establishment of normal reference values for atrioventricular valve E/A ratios in a large sample of normal fetuses in this study will provide a foundational basis for such research.

Fetal ventricular stiffness decreases with gestational age [29], as shown by increasing MV-E/A and TV-E/A ratios, both peaking at 25.7 weeks. This indicates a progressive improvement in active ventricular filling, with the most rapid enhancement occurring around this time. Moreover, the increase in MV-E/A occurs faster than in TV-E/A, likely due to postnatal hemodynamic changes that demand greater active filling capacity in the left ventricle, setting the stage for left heart dominance after birth [30].

Other categories

CTAR revealed gradual growth from weeks 16–37 with stable velocity changes, indicating balanced fetal heart and overall fetus development. CTAR variations are indicators of fetal cardiac and extracardiac anomalies [31].

The extensive CPR literature is gaining attention for its value in predicting adverse outcomes related to the fetal-placental-cardiac axis [32]. Our findings align with Ebbing et al. [33], indicating a continuous increase in CPR values throughout pregnancy, signaling improved fetal cerebral blood supply. We noted the fastest CPR growth at 25.6 weeks, peaking at 34.7 weeks, and stabilizing thereafter, providing insights into cerebral blood flow in CHD-affected fetal brains. For example, fetuses with hypoplastic left heart syndrome may exhibit lower CPR values due to protective mechanisms in late gestation [34], [35], [36]. The rising evidence points to a higher risk of neurodevelopmental impairment in CHD fetuses, highlighting challenges in predicting neurological outcomes in modern CHD management, with CPR ratio studies offering a foundation. Fetal growth restriction can also impact fetal cardiac development by increasing placental circulatory resistance. Previous studies have shown that fetal cardiac remodeling occurs in a significant proportion of pregnancies complicated by late-onset fetal growth restriction [37], 38]. CPR, as an effective indicator, can help identify these fetuses, thereby improving management strategies.

Limitation

This study utilized a large multicenter sample, but data were mainly collected during mid-pregnancy, as fetal echocardiography is typically performed between weeks 20–26. Late pregnancy imaging is challenging due to increased fetal weight and amniotic fluid, leading to fewer data points after 37 weeks. This limitation may bias findings when extrapolating to the entire gestational period. Additionally, relying on the last menstrual period for gestational age limited the analysis to a single independent variable, neglecting potential relationships with other indicators like biparietal diameter and femur length. This study included many parameters beyond those recommended by guidelines, but it is still not comprehensive, such as the ventricular sphericity index, among others. The study included only East Asian participants, requiring validation across other ethnic groups.

Conclusions

Establishing normal ranges for structural and multidimensional ratio parameters in fetal cardiac hemodynamics is vital for CHD screening via ultrasound. This study introduces a model with enhanced fitting effects and establishes reference ranges for these parameters across gestational age. Utilizing multicenter, large-sample data, it systematically investigates ratio changes over gestational age, which may enhance the understanding of normal fetal heart development.


Corresponding authors: Yihua He and Xiaoyan Gu, Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, No. 2 Anzhen Road, Chaoyang District, Beijing, China, E-mail: (Y. He), (X. Gu)
Jiaoyang Xie and Zongjie Weng share first authorship.

Funding source: Beijing Municipal Administration of Hospitals Incubating Program

Award Identifier / Grant number: PX2022026

Funding source: Dengfeng project of talent training plan of Beijing Medical Management Center

Award Identifier / Grant number: DFL20220601

Funding source: Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease

Award Identifier / Grant number: BZ0308

Funding source: Beijing Municipal Commission of Science and Technology, the central guiding local special

Award Identifier / Grant number: Z231100007423010

  1. Research ethics: The study adhered to the principles of the Helsinki Declaration, approved by the Ethics Committees of Beijing Anzhen Hospital and the participating institutions (KS2023025).

  2. Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. J.X: Writing- original draft, Methodology, Visualization, Writing-review and editing. Z.W: Conceptualization, Resources. T.Y, H.W, X.L, H.W: Methodology, Formal analysis. N.P, L.Z: Data curation. Y.Z, J.H, X.J: Resources. X.G, Y.H: Project administration, Resources, Supervision, Investigation, Writing-review and editing.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: (1) Beijing Municipal Administration of Hospitals Incubating Program (PX2022026). (2) Dengfeng project of talent training plan of Beijing Medical Management Center (DFL20220601). (3) Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease (BZ0308). (4) Beijing Municipal Commission of Science and Technology, the central guiding local special, Code: Z231100007423010.

  7. Data availability: The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/jpm-2024-0591).


Received: 2024-12-09
Accepted: 2025-02-21
Published Online: 2025-04-17
Published in Print: 2025-06-26

© 2025 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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