Assessment of fetal lung maturity and prediction of neonatal respiratory distress syndrome by MV-Flow imaging

Article information

Ultrasonography. 2025;44(6):470-482
Publication date (electronic) : 2025 August 4
doi : https://doi.org/10.14366/usg.24200
Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
Correspondence to: Yuhong Lin, MD, The Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Zhuhai 519000, China Tel. +86-13726219345 Fax. +86-0756-2528888 E-mail: linyh97@mail.sysu.edu.cn
*

These authors contributed equally to this work.

Received 2024 October 29; Revised 2025 August 3; Accepted 2025 August 4.

Abstract

Purpose

Neonatal respiratory distress syndrome (NRDS) is a leading cause of morbidity in preterm infants. Existing prenatal tests for fetal lung maturity are either invasive or insufficiently reliable. Microvascular flow imaging (MV-Flow) is a novel Doppler ultrasound technique capable of detecting low-velocity microvascular flow. This study evaluated its utility for visualizing fetal pulmonary microcirculation and predicting NRDS risk.

Methods

A prospective, two-part study was conducted. In part 1, 167 normal singleton pregnancies (12-42 weeks) underwent MV-Flow imaging of the fetal lungs. The vascular intensity of microvascular volume (VIMV) was measured using different regions of interest and compared with conventional Doppler; reproducibility and gestational-age trends were assessed. In part 2, 42 fetuses scanned within 72 hours of delivery were followed postnatally. VIMV values were compared between NRDS and non-NRDS neonates, and logistic regression was used to evaluate predictive value.

Results

MV-Flow successfully visualized fine peripheral lung vessels undetectable by conventional Doppler. VIMV measurements were feasible and highly reproducible (intraclass correlation coefficient >0.92). VIMV increased with gestational age (r≈0.8, P<0.001). Fetuses who developed NRDS had significantly lower VIMV than matched controls (P<0.05). Each 1% increase in VIMV was associated with a 73% (whole lung) or 65% (peripheral lung) reduction in NRDS risk (adjusted odds ratio≈0.3, P<0.005). A low peripheral-lung VIMV, defined by gestational norms, predicted NRDS with 82% sensitivity and 84% specificity.

Conclusion

MV-Flow offers a non-invasive, reproducible method for assessing fetal lung maturity. VIMV correlates with gestational development and may serve as a novel marker for identifying fetuses at risk of NRDS.

Graphic Abstract

Introduction

Neonatal respiratory distress syndrome (NRDS) is a leading cause of neonatal morbidity and mortality, particularly among premature infants [1]. The condition arises from pulmonary immaturity and insufficient surfactant, resulting in alveolar collapse and life-threatening breathing difficulties immediately after birth [2]. Although advances in perinatal care, such as maternal corticosteroid administration and neonatal surfactant therapy, have improved outcomes, NRDS continues to present significant risks in preterm neonates, especially those with very low birth weight [3]. Therefore, early identification of fetal lung immaturity is clinically important to guide obstetric decision-making and interventions aimed at preventing NRDS.

For decades, obstetricians have sought reliable prenatal indicators of fetal lung maturity to anticipate the risk of NRDS. Historically, the gold standard involved analyzing amniotic fluid obtained via amniocentesis for biochemical markers of surfactant production, including the lecithin/sphingomyelin ratio and lamellar body count [4], as well as more recent markers such as the lecithin/surfactant ratio [5], phosphatidylglycerol levels [6], and surfactant proteins A and B [7]. Although informative, amniocentesis is invasive and associated with procedure-related risks, making it less common in routine practice. Magnetic resonance imaging (MRI), which assesses the fetal lung-to-liver signal intensity ratio, demonstrates 86% sensitivity and 72% specificity for distinguishing mature from immature fetal lungs [8]. However, MRI is costly, time-consuming, and not feasible for routine use in late pregnancy. In ultrasound diagnostics, researchers have attempted to correlate various prenatal ultrasound findings (e.g., fetal biparietal diameter, liver or diaphragm echo patterns, bone ossification, placental grading, and fetal colonic gas) with fetal lung maturity [9]. Nonetheless, these methods also lack sufficient accuracy. More recently, image-based technologies like QuantusFLM have been developed, enabling quantitative analysis of fetal lung structures to predict NRDS risk [10]. Multicenter studies of QuantusFLM have reported high sensitivity (~90%) and an excellent negative predictive value (NPV; ~98%), making it reliable for identifying truly mature lungs [10-12]. Nevertheless, its positive predictive value (PPV) is only ~50%, indicating many false positives for immaturity, and the method requires strict image-acquisition protocols and proprietary software, limiting broad clinical adoption.

Microvascular flow imaging (MV-Flow) is an emerging third-generation Doppler ultrasound technology that provides high-resolution, non-invasive visualization of slow blood flow and microvascular structures [13]. By using advanced algorithms and high sampling frequencies, it enhances sensitivity and enables detection of small vessels and low-velocity flow that conventional Doppler imaging often misses [14]. MV-Flow has shown promise across multiple specialties. In reproductive medicine, it improves assessment of endometrial receptivity by quantifying microvascular perfusion [15]. In gynecology, it increases the sensitivity and specificity of ovarian tumor diagnosis, particularly in distinguishing benign from malignant masses [16]. In obstetrics, it can evaluate placental microcirculation and detect fetal growth restriction, and its ability to visualize fetal brain microvasculature offers new insights into early neurovascular development and vascular abnormalities [17]. As a non-invasive imaging technique, MV-Flow holds promise for prenatal diagnostics by providing reliable assessments of fetal organ development.

The fetal lung is among the most physiologically active organs in terms of microcirculation, yet real-time in vivo imaging of fetal pulmonary microcirculation remains largely unexplored. This study aims to evaluate, for the first time, the ability of MV-Flow to visualize fetal lung microcirculation and to assess its feasibility for quantitative analysis of fetal pulmonary maturity. The findings are expected to fill a gap in fetal lung microcirculation imaging by providing a non-invasive method for prenatal evaluation of lung development and maturity, thereby offering imaging-based evidence to help reduce the risk of neonatal respiratory complications.

Materials and Methods

Compliance with Ethical Standards

The study was approved by the Ethics Committee of the Fifth Affiliated Hospital of Sun Yat-sen University (Approval No. 2024 Ethics K301-1). Written informed consent was obtained from all participants.

Study Sample

This single-center prospective study was conducted at the Fifth Affiliated Hospital of Sun Yat-sen University from May 2023 to August 2024. The study comprised two parts, and the participant flow is shown in Fig. 1. In part 1, a cross-sectional observational study, 167 eligible pregnant women were enrolled. Inclusion criteria were: singleton pregnancy; gestational age confirmed by the last menstrual period and consistent with first-trimester average ultrasound age; and no obvious fetal structural abnormalities on routine prenatal ultrasound. Exclusion criteria were: major maternal comorbidities during pregnancy (e.g., gestational hypertension, diabetes, anemia, hyperthyroidism, autoimmune disease); and fetal structural malformations, chromosomal abnormalities, or other congenital anomalies. Part 2 was a prospective cohort study involving 42 pregnant women who received routine prenatal care and subsequently delivered at the authors’ affiliated hospital. Most participants presented with premature rupture of membranes or had other clinical indications for elective cesarean delivery. Fetuses with structural lung anomalies or abnormal prenatal imaging findings were excluded. All participants underwent fetal lung ultrasound and measurement of the vascular intensity of microvascular volume (VIMV) within 72 hours before delivery. Neonatal outcomes were recorded, and newborns were categorized into an NRDS group (n=17) or a control group (n=25) based on postnatal diagnosis. Diagnostic criteria for NRDS followed the 2022 European Consensus Guidelines on the Management of Neonatal Respiratory Distress Syndrome [18]. Complete clinical data collection and standardized ultrasound image acquisition were performed for all participants.

Fig. 1.

Flowchart of participant enrollment and grouping in the reference and prediction cohorts.

The study consisted of two parts. Part 1 was a cross-sectional study establishing normal fetal lung VIMV values, with 167 participants included after exclusion due to poor image quality or unmet inclusion criteria. Part 2 was a prospective cohort study assessing the predictive value of VIMV for NRDS. After excluding three cases due to incomplete questionnaires, 42 participants remained and were categorized into the NRDS group (n=17) and the non-NRDS control group (NC; n=25). VIMV, vascular intensity of microvascular volume; NRDS, neonatal respiratory distress syndrome.

Instruments and Image Acquisition

All examinations were performed using the HERA W10 Diagnostic Ultrasound System (Samsung Medison Co., Ltd., Seoul, Korea) equipped with a CA2-9 MHz convex array transducer.

Fetal lung ultrasound was performed transabdominally with the mother supine during periods of low fetal activity. All scans were independently performed by two experienced obstetric sonographers. First, routine obstetric ultrasonography, following International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) guidelines, was conducted to assess fetal biometry (biparietal diameter, head circumference, abdominal circumference, femur length), placenta, and amniotic fluid, and to exclude conditions that could affect lung development (e.g., oligohydramnios or thoracic masses) [19]. The fetal lungs were scanned in multiple planes to exclude structural pulmonary anomalies and to confirm normal thoracic anatomy.

For fetal pulmonary blood-flow imaging, the examination proceeded as follows. A standard four-chamber view of the fetal heart was obtained by adjusting the scanning angle to optimize visualization of cardiac and thoracic structures while minimizing acoustic shadowing from bone. Color Doppler flow imaging (CDFI) and power Doppler imaging (PDI) were initially used to visualize pulmonary blood flow. MV-Flow mode was then activated to depict pulmonary microvascular perfusion. MV-Flow settings were standardized as follows: image quality, normal; sensitivity, 20; tissue suppression, 3; color gain, 50; filter, 5; smoothing, 1; LumiFlow, 3; alpha blending, 70%; dynamic range, 50. MV-Flow cine loops comprising at least five consecutive cardiac cycles were acquired during maternal breath-hold and fetal quiescence to optimize stability.

Region of Interest Definition and VIMV Measurement

The main quantitative parameter was VIMV, derived with the built-in Vascularity Index tool to quantify microvascular perfusion within a region of interest (ROI). VIMV was defined as the percentage of colored flow-signal pixels within a manually drawn ROI on the MV-Flow image.

To ensure measurement reliability, the operator reviewed each MV-Flow cine loop and selected the frame showing the earliest clear appearance of the intercostal artery and the sharpest delineation of microvascular contours. The ROI was drawn near the transducer side of the lung field, and the VIMV value was calculated automatically. Five measurements were obtained across five cardiac cycles, and their mean was used as the final VIMV value for that ROI.

To evaluate reproducibility and consistency across different ROI strategies, 20 fetuses at varying gestational ages were randomly selected from part 1. Two sonographers independently measured VIMV using four ROI configurations: (1) Rectangle: a rectangular area placed within the lung, extending from the heart border to the pleural margin; (2) Ellipse: a circular ROI similarly positioned from heart margin to pleura; (3) Whole lung: an ROI tracing the entire visible lung field; (4) Peripheral lung: an ROI encompassing only the outer one-third (subpleural) region of the lung, excluding the central two-thirds.

Each examiner performed two VIMV measurements for each ROI per fetus independently. After identifying the optimal ROI strategy, all participants were assessed using the whole-lung and peripheral-lung ROI methods. If an image lacked sufficient high-quality frames because of poor fetal position or motion artifacts, the corresponding side’s measurement was excluded unless re-imaging was feasible. All cine loops were archived on the ultrasound workstation, and patient information was stored in the Picture Archiving and Communication System.

Statistical Analysis

Analyses were performed using IBM SPSS Statistics version 26.0 (IBM Corp., Armonk, NY, USA). Continuous variables were tested for normality. Normally distributed data are presented as mean±standard deviation (SD); non-normally distributed data are presented as median (interquartile range). Group comparisons of continuous variables used the independent-samples t-test (for normally distributed data with homogeneity of variance) or the Mann-Whitney U test (for non-normal data). For comparisons across multiple gestational-age segments, the Kruskal–Wallis H test was applied. Categorical variables were summarized as frequencies and percentages and compared using the chi-square test. Intraclass correlation coefficients (ICCs) were calculated to assess intra-and inter-observer agreement of VIMV across ROI strategies, and coefficients of variation (CVs) were used to quantify variability. Spearman's rank correlation evaluated associations between VIMV and gestational age. For the NRDS prediction cohort, multivariable logistic regression assessed whether VIMV was independently associated with NRDS risk. Gestational age, birth weight, fetal sex, and maternal age were included in the model based on prior evidence of clinical relevance [20-22]. Results were reported as odds ratios (ORs) with 95% confidence intervals (CIs).

Given the strong dependence of VIMV on gestational age, a single cutoff could not be applied uniformly for receiver operating characteristic analysis across the entire cohort. Moreover, the limited sample size—particularly the small number of NRDS cases within specific gestational subgroups—precluded stratified receiver operating characteristic modeling. Instead, a preliminary diagnostic-performance assessment was conducted using a 2×2 contingency approach. For each subject, if the measured VIMV value (whole lung or peripheral lung) fell below the lower limit of the gestational-age–specific normal range (mean-1 SD), the result was considered MV-Flow positive, indicating higher risk of fetal lung immaturity and potential NRDS. Postnatal NRDS diagnosis then classified each case as true positive, false positive, true negative, or false negative, from which sensitivity, specificity, PPV, NPV, positive likelihood ratio (PLR), and negative likelihood ratio were calculated.

All statistical tests were two-tailed, and P<0.05 was considered statistically significant.

Results

Part 1. Evaluation of MV-Flow for Peripheral Pulmonary Vascular Imaging

Baseline characteristics of participants

A total of 167 pregnant women at the Fifth Affiliated Hospital of Sun Yat-sen University underwent fetal lung MV-Flow examinations. Maternal age ranged from 24 to 41 years (mean, 30.3±4.0 years). Body mass index (BMI) ranged from 15.4 to 29.2 kg/m2 (mean, 20.7±3.1 kg/m2). Detailed demographic and obstetric characteristics are provided in Table 1. Overall, the cohort represented a healthy pregnant population spanning all trimesters.

Maternal demographic and obstetric characteristics of the study cohort (n=167)

Comparison of vascular visualization by CDFI, PDI, and MV-Flow

Fetal pulmonary vascular imaging was performed using CDFI, PDI, and MV-Flow (Fig. 2). In early gestation (12-15+6 weeks), MV-Flow showed high sensitivity to slow blood flow, depicting sparse vascular branches in the central lung field. With advancing gestation, MV-Flow visualized increasingly dense and continuous peripheral vascular networks that extended toward the subpleural region. By contrast, CDFI and PDI consistently failed to depict distal vasculature throughout gestation. These observations underscore the technical superiority of MV-Flow for assessing fetal pulmonary microvascular development, particularly peripheral-lung perfusion.

Fig. 2.

Comparison of fetal lung vascular visualization using different imaging modalities across gestation.

Representative images demonstrating peripheral pulmonary vasculature in fetuses at different gestational ages using color Doppler flow imaging (CDFI), power Doppler imaging (PDI), and microvascular flow imaging (MV-Flow). MV-Flow reveals finer vascular detail in peripheral lung regions compared to conventional Doppler techniques.

For larger proximal pulmonary vessels near the hilum, MV-Flow, CDFI, and PDI performed comparably during early to mid-gestation (12-35+6 weeks). After 36 weeks, MV-Flow image quality in the hilar region was occasionally degraded by signal overflow from cardiac and great-vessel pulsations; however, appropriate adjustment of gain and wall-filter settings effectively mitigated interference and preserved acceptable visualization of proximal vessels.

Consistency and reproducibility of VIMV under different ROI strategies

Four ROI configurations were evaluated for VIMV measurement—rectangle, ellipse, whole lung, and peripheral lung—across gestational ages (Fig. 3). Intra- and inter-observer reproducibility was assessed using ICCs and CVs (Fig. 3, Supplementary Table 1). The whole-lung ROI achieved the highest reproducibility, with an intra-observer ICC of 0.966 (95% CI, 0.914 to 0.990), an inter-observer ICC of 0.991 (95% CI, 0.977 to 0.998), and corresponding CVs of 1.04% and 1.96%. The peripheral-lung ROI also showed excellent agreement (intra-observer ICC, 0.925; 95% CI, 0.818 to 0.978; CV, 1.17%; inter-observer ICC, 0.980; 95% CI, 0.947 to 0.994; CV, 1.65%). By comparison, the ellipse ROI had lower repeatability (intra-observer ICC, 0.607; CV, 3.38%), and the rectangle ROI performed worst (intra-observer ICC, 0.575; CV, 2.68%). These findings indicate that whole-lung and peripheral-lung ROIs yield stable, reliable measurements, whereas rectangular and elliptical ROIs may introduce greater operator-dependent variability.

Fig. 3.

Comparison of ROI strategies for fetal lung VIMV measurement and reproducibility.

A. Representative MV-Flow images show the fetal lungs at 24 and 33 weeks of gestation using four ROI strategies: rectangle, ellipse, whole lung, and peripheral lung. ROI boundaries are indicated in yellow. B. In a reproducibility analysis of the four ROI strategies, the left and middle panels show inter- and intra-observer ICC (95% CI); the right panel displays intra- and inter-observer coefficient of variation (CV). Whole-lung and peripheral-lung ROIs demonstrated higher reproducibility with lower measurement variability compared to rectangle and ellipse ROIs. ROI, region of interest; VIMV, vascular intensity of microvascular volume; MV-Flow, microvascular flow imaging; ICC, intraclass correlation coefficient; CI, confidence interval.

Gestational trends and statistical comparison of fetal lung VIMV

To examine the relationship between gestational age and fetal pulmonary vascular development, VIMV values were analyzed by gestational-age segment in 167 fetuses using both whole-lung and peripheral-lung ROIs (Table 2, Fig. 4, Supplementary Table 2). Regardless of ROI, VIMV increased progressively with gestation. Mean whole-lung VIMV rose from 62.0%±11.0% at 12-14+6 weeks to 97.9%±1.3% at 39-42 weeks, while peripheral-lung VIMV increased from 42.6%±13.7% to 96.2%±2.7%. Differences across gestational segments were statistically significant for both ROI types (P<0.001). Throughout gestation, whole-lung VIMV values were consistently higher than peripheral-lung values (P<0.001); however, the increase in peripheral-lung VIMV was steeper—especially in mid and late gestation—narrowing the gap between measures. At 36-38+6 weeks, the difference between whole-lung and peripheral-lung VIMV became statistically non-significant (P=0.130), suggesting nearequal perfusion.

Comparison of fetal lung VIMV values across gestational age segments

Fig. 4.

Gestational trends and variability in fetal lung VIMV measured by MV-Flow.

A. Box-and-whisker plots show whole-lung and peripheral-lung VIMV (%) across gestational ages (12-42 weeks). B. Plot showing variation in fetal lung VIMV measurements (expressed as CV) across different gestational age segments. VIMV, vascular intensity of microvascular volume; MV-Flow, microvascular flow imaging; CV, coefficients of variation.

Measurement variability declined with advancing gestation (Fig. 4B, Supplementary Table 3). At 12-14+6 weeks, the CVs for whole-lung and peripheral-lung VIMV were 31.48% and 21.58%, respectively; these decreased to 12.72% and 7.16% at 16-24+6 weeks, and to 6.69% and 4.07% at 25-34+6 weeks, indicating greater perfusion stability as the lungs matured.

Spearman correlation analysis demonstrated strong positive associations between gestational age and both whole-lung VIMV (r=0.821, P<0.001) and peripheral-lung VIMV (r=0.860, P<0.001), highlighting gestational age as a key determinant of fetal pulmonary microvascular development.

Part 2. VIMV-Based Fetal Lung Maturity Assessment and NRDS Prediction

Maternal and neonatal clinical characteristics

Forty-two pregnant women and their neonates were included in the prospective cohort. Maternal and neonatal characteristics are summarized in Table 3. Maternal age (30.5±3.4 vs. 31.7±5.1 years, P=0.396) and BMI (19.44±2.07 vs. 20.81±3.14 kg/m2, P=0.123) were comparable between the NRDS and control groups. The NRDS group had a higher proportion of nulliparous women (88.2% vs. 60.0%, P=0.047), pregnancy complications (58.5% vs. 24.0%, P=0.023), and antenatal corticosteroid use (29.4% vs. 4.0%, P=0.021).

Comparison of maternal and neonatal characteristics between NRDS and control groups

Neonatal outcomes also differed. Birth weight was lower in the NRDS group (2,811±471 g vs. 3,102±316 g, P=0.021), and 5-minute Apgar scores <7 were more frequent (23.5% vs. 0%, P=0.011). All NRDS cases required neonatal intensive care unit (NICU) admission (100% vs. 8.0%, P<0.001), with longer NICU stays (8.4 vs. 0.7 days, P=0.001). These findings reflect the severity of NRDS and its association with adverse neonatal outcomes.

Comparison of fetal lung VIMV between NRDS and control group

At equivalent gestational-age segments, fetal lung VIMV was significantly lower in the NRDS group than in controls (Fig. 5, Supplementary Table 4). At 34-38+6 weeks, whole-lung VIMV was 96.13%±1.90% in the NRDS group versus 98.12%±1.05% in controls (P=0.008), and peripheral-lung VIMV was 93.71%±2.77% versus 96.49%±1.61% (P=0.013). At 39-42 weeks, absolute differences narrowed but statistical significance increased, likely due to reduced variability at term: whole-lung VIMV was 96.76%±0.89% in NRDS versus 98.6%±0.56% in controls (P<0.001), and peripheral-lung VIMV was 93.4%±1.71% versus 97.54%±0.89% (P<0.001). These results suggest reduced prenatal pulmonary microvascular perfusion in NRDS, independent of gestational age.

Fig. 5.

Comparison of fetal lung VIMV values between NRDS and control groups across gestational age segments.

Whole-lung VIMV (A) and peripheral-lung VIMV (B) values are plotted by gestational age (left) for NRDS (red squares/triangles) and control (blue circles) group. The VIMV values grouped by gestational age segments (right) showed significant differences between NRDS and control group (*P<0.05, **P<0.01, ***P<0.001). VIMV, vascular intensity of microvascular volume; NRDS, neonatal respiratory distress syndrome; NC, normal control group.

Logistic regression analysis of VIMV and NRDS risk

Two multivariable logistic regression models evaluated whether fetal lung VIMV was independently associated with NRDS, adjusting for gestational age, fetal sex, birth weight, and maternal age (Table 4). In model 1 (whole-lung VIMV), each 1% increase was associated with a 73% reduction in NRDS risk (OR, 0.270; 95% CI, 0.115 to 0.633; P=0.003). In Model 2 (peripheral-lung VIMV), each 1% increase reduced risk by 65% (OR, 0.354; 95% CI, 0.184 to 0.682; P=0.002). None of the other covariates were significantly associated with NRDS (all P>0.1). These findings indicate that lower VIMV is an independent and robust predictor of NRDS.

Multivariable logistic regression analysis of factors associated with NRDS

Diagnostic performance of fetal lung VIMV for NRDS prediction

Using gestational age–adjusted reference thresholds, diagnostic performance was assessed for both ROI strategies (Table 5). Model 2 (peripheral-lung VIMV) demonstrated better overall performance, with a sensitivity of 82.4% (14/17), a specificity of 84.0% (21/25), a PPV of 77.8% (14/18), and an NPV of 87.5% (21/24). The overall accuracy was 83.3%.

Diagnostic performance of VIMV measured by MV-Flow for predicting NRDS

In contrast, model 1 (whole-lung VIMV) demonstrated limited diagnostic value, with a sensitivity of 11.8% (2/17), specificity of 100% (25/25), PPV of 100% (2/2), and NPV of 62.5% (25/40). Although no false positives were detected, the very low sensitivity reflects poor case detection and limited clinical utility for screening.

These findings suggest that model 2 (peripheral-lung VIMV) offers a more balanced and clinically useful measure for NRDS risk prediction than model 1 (whole-lung VIMV).

Discussion

This study demonstrates the feasibility and clinical value of using MV-Flow to assess fetal pulmonary microvascular perfusion and to predict NRDS. The principal findings are as follows: (1) MV-Flow enables non-invasive, real-time visualization of the fetal lung microvasculature; (2) VIMV increases with gestational age, providing a quantitative index of fetal pulmonary vascular development and maturity; (3) fetuses who later developed NRDS consistently exhibited lower VIMV values than gestational age–matched controls; and (4) peripheral-lung VIMV showed superior diagnostic performance for identifying fetuses at high risk of NRDS. Collectively, these results suggest that impaired prenatal pulmonary microvascular development may contribute to neonatal respiratory morbidity and that MV-Flow offers a novel, non-invasive imaging approach to assess fetal lung maturity and predict NRDS risk.

The analysis of fetal pulmonary microvascular development showed a gestational-age–dependent rise in VIMV, with the most rapid increase between 16 and 24 weeks. After 25 weeks, the rate slows, and by 35 weeks VIMV stabilizes, with average values reaching 93% for the whole lung and 96% for the peripheral lung. This trajectory aligns with established stages of fetal lung development. In the pseudoglandular phase (5-16 weeks), rapid bronchial branching and pulmonary artery formation occur, but terminal respiratory units have not yet formed, yielding sparse microvasculature in the peripheral lung parenchyma [23]; correspondingly, VIMV values are low and variable in early gestation (e.g., 62% for the whole lung and 42% for the peripheral lung at 12-14 weeks). During the canalicular phase (16-25 weeks), the emergence of terminal bronchioles and primitive alveolar sacs coincides with brisk capillary proliferation [23], which accounts for the observed increase in VIMV. In the saccular and alveolar stages (after 25 weeks), the expansion of alveolar sacs and ongoing capillary growth significantly enhance the alveolar gas exchange capacity, marking the maturation of the fetal lung [23]. By 32 weeks, surfactant secretion by type II alveolar cells reaches functional levels, and although alveolar numbers continue to rise, capillary perfusion density stabilizes [23], resulting in a plateau of VIMV. At term (≥36 weeks), VIMV values for the whole lung and peripheral lung exceed 97% and 95%, respectively, indicating a mature and well-perfused pulmonary microvascular network that underpins the structural and functional capacity required for independent breathing after birth. This pattern aligns with clinical observations, as term fetuses generally exhibit lung maturity sufficient for spontaneous respiration and have a significantly reduced risk of NRDS.

Statistical analysis confirmed strong correlations between VIMV and gestational age (whole lung r=0.821, peripheral lung r=0.860; both P<0.001), reinforcing VIMV as a robust marker of fetal lung maturity. Furthermore, both whole-lung and peripheral-lung ROI strategies demonstrated excellent reproducibility (ICC, 0.966-0.991 and 0.925-0.980, respectively), supporting their suitability as standard ROI configurations for future research.

Regarding the relationship between VIMV and NRDS, fetuses who developed NRDS exhibited VIMV values that were 2%-4% lower than age-matched controls. At 39-42 weeks, for example, whole-lung VIMV in the NRDS group was 96.8%±0.9% versus 98.6%±0.6% in controls (P<0.001), and peripheral-lung VIMV was 93.4%±1.7% versus 97.5%±0.9% (P<0.001). Although numerically small, these differences were statistically significant and likely reflect subtle deficits in pulmonary microvascular perfusion. The persistence of VIMV disparities even at term indicates that chronological age does not always equate to functional maturity, consistent with prior observations that NRDS can occur in term neonates owing to delayed surfactant synthesis, aberrant pulmonary vascular remodeling, or maternal diabetes [24].

Multivariable logistic regression further showed that lower VIMV is independently associated with higher NRDS risk. Each 1% increase in VIMV corresponded to a 65%-73% reduction in the odds of NRDS (whole lung OR, 0.27; P=0.003; peripheral lung OR, 0.35; P=0.002), indicating that VIMV provides predictive information beyond traditional perinatal risk factors such as gestational age and birth weight.

Notably, peripheral-lung VIMV outperformed the whole-lung measure. Whereas whole-lung VIMV showed very low sensitivity (12%) and perfect specificity (100%), peripheral-lung VIMV achieved balanced performance with sensitivity of approximately 79% and specificity of approximately 83% for NRDS prediction. This pattern suggests that the peripheral microvasculature is more sensitive to delayed maturation; focusing on this region reveals clinically meaningful differences in lung maturity. Although the PLR did not reach the ideal threshold, the data support the potential utility of peripheral VIMV as a screening tool. Larger samples and gestational age–stratified models are needed to refine diagnostic thresholds and optimize clinical pathways.

In comparison with other methods for assessing fetal lung maturity, peripheral-lung VIMV showed a balance between sensitivity and specificity: in the present study, its sensitivity (~79%) was slightly lower than that of texture analysis (90%) [12], but its specificity (83%) outperformed gray level histogram width (72%) [25], and its PPV (78%) exceeded that of QuantusFLM (50%) [12]. Although the NPV was marginally lower than that of QuantusFLM, it remained above 86%, which is acceptable for clinical screening. Crucially, VIMV can be measured on widely available ultrasound platforms without specialized sequences or proprietary post-processing, making it a simple, non-invasive, real-time technique suitable for routine practice.

Several limitations merit consideration. First, the sample size for the NRDS-prediction analysis was limited, which may constrain generalizability of the diagnostic estimates. Moreover, because the cohort mainly included high-risk deliveries, findings may not directly extrapolate to low-risk or routine obstetric populations. Larger, multicenter studies are needed to provide more precise estimates of sensitivity, specificity, and optimal VIMV cutoffs. Second, this single-center study used specific ultrasound settings; variations in operator technique and machine tuning can influence Doppler-based measurements. Although the protocol was standardized and inter-observer agreement was high, further work is needed to enhance cross-site comparability. The development of standardized MV-Flow imaging guidelines would facilitate consistent implementation. Finally, the current manual ROI delineation is operator-dependent. Future studies should evaluate AI-based approaches for automated ROI definition and VIMV computation to improve consistency and scalability.

MV-Flow imaging enables real-time visualization of the fetal pulmonary microcirculation, providing a novel in utero approach to assessing fetal lung maturity. It was demonstrated that VIMV increases with gestational age—reflecting normal pulmonary development—and is significantly lower in fetuses who later develop NRDS. Low prenatal VIMV emerged as an independent predictor of NRDS, suggesting that subtle deficits in fetal pulmonary microvascular development contribute to postnatal respiratory morbidity. Taken together, these findings highlight the clinical value of fetal lung MV-Flow imaging: it offers a feasible and reproducible, non-invasive biomarker of lung maturity that may improve NRDS risk stratification. Incorporating this imaging-based assessment into practice could guide timely interventions to prevent neonatal respiratory complications and improve outcomes. Despite study limitations, ongoing technical optimization and broader validation support the potential of fetal lung microvascular indicators for assessing maturity and predicting neonatal respiratory outcomes. These results provide a foundation for larger-scale studies and point to new directions for clinical prenatal prediction and intervention in neonatal respiratory distress syndrome.

Notes

Author Contributions

Conceptualization: Wang Q. Data acquisition: Wang Q, Chen Y, Xu S, Lin Y. Data analysis or interpretation: Wang Q, Shijian Xu. Drafting of the manuscript: Wang Q. Critical revision of the manuscript: Wang Q. Approval of the final version of the manuscript: all authors.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Acknowledgments

This work was supported by the Zhuhai Science and Technology Plan Project in the Field of Social Development in 2022 (2220004000310).

Supplementary Material

Supplementary Table 1.

Reproducibility of VIMV measurements using different ROI configurations (https://doi.org/10.14366/usg.24200).

usg-24200-Supplementary-Table-1.pdf
Supplementary Table 2.

Reference values for fetal lung VIMV by gestational week (https://doi.org/10.14366/usg.24200).

usg-24200-Supplementary-Table-2.pdf
Supplementary Table 3.

CV of fetal lung VIMV across gestational age groups (https://doi.org/10.14366/usg.24200).

usg-24200-Supplementary-Table-3.pdf
Supplementary Table 4.

Comparison of fetal lung VIMV values between the NRDS and control group by gestational age segments (https://doi.org/10.14366/usg.24200).

usg-24200-Supplementary-Table-4.pdf

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Notes

Key point

Measuring the vascular intensity of microvascular volume (VIMV) of fetal lung is a reproducible, and noninvasive method. The VIMV of is an effective assessment of fetal lung maturity. This study demonstrates a good accuracy of the VIMV of whole fetal lung in predicting neonatal respiratory distress syndrome.

Fig. 1.

Flowchart of participant enrollment and grouping in the reference and prediction cohorts.

The study consisted of two parts. Part 1 was a cross-sectional study establishing normal fetal lung VIMV values, with 167 participants included after exclusion due to poor image quality or unmet inclusion criteria. Part 2 was a prospective cohort study assessing the predictive value of VIMV for NRDS. After excluding three cases due to incomplete questionnaires, 42 participants remained and were categorized into the NRDS group (n=17) and the non-NRDS control group (NC; n=25). VIMV, vascular intensity of microvascular volume; NRDS, neonatal respiratory distress syndrome.

Fig. 2.

Comparison of fetal lung vascular visualization using different imaging modalities across gestation.

Representative images demonstrating peripheral pulmonary vasculature in fetuses at different gestational ages using color Doppler flow imaging (CDFI), power Doppler imaging (PDI), and microvascular flow imaging (MV-Flow). MV-Flow reveals finer vascular detail in peripheral lung regions compared to conventional Doppler techniques.

Fig. 3.

Comparison of ROI strategies for fetal lung VIMV measurement and reproducibility.

A. Representative MV-Flow images show the fetal lungs at 24 and 33 weeks of gestation using four ROI strategies: rectangle, ellipse, whole lung, and peripheral lung. ROI boundaries are indicated in yellow. B. In a reproducibility analysis of the four ROI strategies, the left and middle panels show inter- and intra-observer ICC (95% CI); the right panel displays intra- and inter-observer coefficient of variation (CV). Whole-lung and peripheral-lung ROIs demonstrated higher reproducibility with lower measurement variability compared to rectangle and ellipse ROIs. ROI, region of interest; VIMV, vascular intensity of microvascular volume; MV-Flow, microvascular flow imaging; ICC, intraclass correlation coefficient; CI, confidence interval.

Fig. 4.

Gestational trends and variability in fetal lung VIMV measured by MV-Flow.

A. Box-and-whisker plots show whole-lung and peripheral-lung VIMV (%) across gestational ages (12-42 weeks). B. Plot showing variation in fetal lung VIMV measurements (expressed as CV) across different gestational age segments. VIMV, vascular intensity of microvascular volume; MV-Flow, microvascular flow imaging; CV, coefficients of variation.

Fig. 5.

Comparison of fetal lung VIMV values between NRDS and control groups across gestational age segments.

Whole-lung VIMV (A) and peripheral-lung VIMV (B) values are plotted by gestational age (left) for NRDS (red squares/triangles) and control (blue circles) group. The VIMV values grouped by gestational age segments (right) showed significant differences between NRDS and control group (*P<0.05, **P<0.01, ***P<0.001). VIMV, vascular intensity of microvascular volume; NRDS, neonatal respiratory distress syndrome; NC, normal control group.

Table 1.

Maternal demographic and obstetric characteristics of the study cohort (n=167)

Characteristic Value (n=167)
Maternal age (year) 30.3±4.0
BMI (kg/m2) 20.7±3.1
Parity
 Primipara 114 (68.2)
 Multipara 53 (31.8)
Gestational weeks
 12-15+6 weeks 27 (16.2)
 16-24+6 weeks 65 (38.9)
 25-34+6 weeks 37 (22.2)
 35-42 weeks 38 (22.8)
Placental thickness (mm) 27.2±6.5
Placental location
 Anterior wall placenta 70 (41.9)
 Non-anterior wall placenta 97 (58.1)

Values are presented as mean±standard deviation or number (%).

BMI, body mass index.

Table 2.

Comparison of fetal lung VIMV values across gestational age segments

Gestational age (week) No. (%) Whole-lung VIMV (%) Peripheral-lung VIMV (%) P-value
12-14+6 23 (13.8) 62.0±11.0 42.6±13.7 <0.001
15-17+6 29 (17.4) 80.0±6.1 67.2±9.3 <0.001
18-20+6 7 (4.2) 81.4±3.7 70.4±6.2 0.002
21-23+6 17 (10.2) 86.4±4.3 76.7±6.9 <0.001
24-26+6 18 (10.8) 89.0±5.3 81.0±6.7 <0.001
27-29+6 12 (7.2) 93.5±2.8 87.8±3.5 <0.001
30-32+6 10 (6.0) 92.3±2.3 86.4±3.9 0.001
33-35+6 24 (14.4) 96.1±1.9 93.1±2.6 <0.001
36-38+6 12 (7.2) 97.3±1.8 95.9±2.4 0.130
39-42 15 (9.0) 97.9±1.3 96.2±2.7 0.030

Values are presented as mean±standard deviation.

VIMV, vascular intensity of microvascular volume.

Table 3.

Comparison of maternal and neonatal characteristics between NRDS and control groups

Variable NRDS group (n=17) Control group (n=25) P-value
Maternal characteristic
 Maternal age (year) 30.47±3.41 31.68±5.08 0.396
 Maternal BMI (kg/m2) 19.44±2.07 20.81±3.14 0.123
 Parity
  Nulliparous 15 (88.2) 15 (60.0) 0.047
  Multiparous 2 (11.8) 10 (40.0)
 History of adverse pregnancy outcomes 4 (23.5) 5 (20.0) 0.784
 Pregnancy complications 10 (58.8) 6 (24.0) 0.023
 Mode of delivery
  Vaginal delivery 9 (52.9) 20 (80.0) 0.063
  Cesarean section 8 (47.1) 5 (20.0)
 Antenatal corticosteroid therapy 5 (29.4) 1 (4.0) 0.021
Neonatal characteristics
 Gestational age at delivery (week)
  34-35+6 weeks 6 (35.3) 4 (16.0) 0.346
  36-39+6 weeks 8 (47.1) 16 (64.0)
  40-42 weeks 3 (17.6) 5 (20.0)
 Male sex 11 (64.7) 12 (48.0) 0.286
 Birth weight (g) 2,811.17±470.77 3,102.00±316.05 0.021
 5-Minute Apgar score <7 4 (23.5) 0 0.011
 NICU admission 17 (100) 2 (8) <0.001
 NICU length of stay (day) 8.4 (4-21) 0.7 (0-7) <0.001
 Neonatal death 0 0

Values are presented as mean±standard deviation, number (%), or median (range) where appropriate.

NRDS, neonatal respiratory distress syndrome; BMI, body mass index; NICU, neonatal intensive care unit.

Table 4.

Multivariable logistic regression analysis of factors associated with NRDS

Variable OR (95% CI) P-value
Model 1: Whole-lung VIMV (%)
 Gestational age at delivery (week) 1.000 (0.619-1.617) 0.999
 Male sex 1.628 (0.244-10.860) 0.615
 Birth weight (<2,500 g) 1.000 (0.997-1.002) 0.813
 Maternal age (year) 0.849 (0.670-1.075) 0.173
 Whole-lung VIMV (%) 0.270 (0.115-0.633) 0.003
Model 2: Peripheral-lung VIMV (%)
 Gestational age at delivery (week) 0.904 (0.539-1.516) 0.703
 Male sex 2.254 (0.253-20.101) 0.466
 Birth weight (<2,500 g) 1.000 (0.997-1.003) 0.909
 Maternal age (year) 0.759 (0.547-1.053) 0.098
 Peripheral-lung VIMV (%) 0.354 (0.184-0.682) 0.002

Model 1 and model 2 represent multivariable logistic regression models based on whole-lung and peripheral-lung VIMV measurements, respectively. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for the risk of NRDS after adjusting for gestational age, fetal sex, birth weight, and maternal age.

NRDS, neonatal respiratory distress syndrome; VIMV, vascular intensity of microvascular volume.

Table 5.

Diagnostic performance of VIMV measured by MV-Flow for predicting NRDS

Metric (Model 1) Whole-lung VIMV (Model 2) Peripheral-lung VIMV
Accuracy 0.643 0.833
Sensitivity 0.118 0.824
Specificity 1.000 0.840
Positive predictive value 1.000 0.778
Negative predictive value 0.625 0.875
Positive likelihood ratio 5.147
Negative likelihood ratio 0.882 0.210

Diagnostic metrics are based on gestational age–specific thresholds for abnormal lung perfusion using whole-lung (model 1) and peripheral-lung (model 2) VIMV.

VIMV, vascular intensity of microvascular volume; MV-Flow, microvascular flow imaging; NRDS, neonatal respiratory distress syndrome; ∞, undefined due to zero in denominator.