Skip to main content
Download PDF

Clinical application of cervical shear wave elastography in predicting the risk of preterm delivery in DCDA twin pregnancy

BMC Pregnancy and Childbirth volume 22, Article number: 202 (2022) Cite this article

Abstract

Background

Limited studies have used cervical shear wave elastography (SWE) as a tool to investigate the predictive effect of cervical changes on preterm delivery (PTD) in twin pregnancy. This study is aimed to predict the risk of PTD by cervical SWE in dichorionic diamniotic (DCDA) twin pregnancy.

Methods

A total of 138 women with dichorionic diamniotic (DCDA) twins were included in this prospective study. The mean SWE value of the cervix was obtained from the inner, middle and outer regions of the anterior and posterior cervical lips using a transvaginal ultrasound transducer and measured consecutively across three different gestations (20–23+ 6 weeks, 24–27+ 6 weeks, and 28–32 weeks). Follow-up was performed on all subjects, and we compared the mean SWE value between the PTD and term delivery (TD) groups.

Results

A total of 1656 cervical mean SWE data were collected for analysis. Among the 138 twin pregnant women, only 92 women completed the three elastography examinations; PTD occurred in 58.7% (54/92), and TD in 41.3% (38/92). The mean (SD) maternal age was 33.1 ± 4.1 years, and the mean (SD) body mass index was 21.1 ± 2.6 kg/m2. As gestational age increased, the mean SWE value of each part of the cervix decreased. The cervical mean SWE value was lower in the preterm group than in the term group in all three gestations, except for the anterior cervical lip at 28–32 weeks. Receiver operating characteristics (ROC) curves showed the sensitivity of mean SWE value of the anterior cervical lip was 83.3% (95% CI, 70.7–92.1) with a specificity of 57.9% (95% CI, 40.8–73.7) for predicting PTD at a cutoff value of 7.94 kPa. The positive likelihood ratio (LR+) was 1.67 (95% CI, 1.19–2.34), and the negative likelihood ratio (LR–) was 0.33 (95% CI, 0.17–0.64).

Conclusions

There is a significant negative correlation between cervical stiffness and gestational age in DCDA twin pregnancy. SWE is a potential tool for assessing cervical stiffness and predicting PTD in DCDA twin pregnancy.

Peer Review reports

Introduction

The development and broad application of assisted reproductive technology in recent years and the increased prevalence of advanced maternal age have led to a rising incidence of twin pregnancies worldwide. Preterm delivery (PTD), defined as birth before 37 weeks of pregnancy, is a significant public health problem. The risk of PTD between 24 and 34 weeks of gestation is 59% in monochorionic twins and 54% in dichorionic twins [1]. PTD is the major perinatal complication accounting for about 50% of the complications associated with twin pregnancies [2, 3]. It is associated with short-term and long-term consequences, such as a higher risk of neurodevelopmental impairment, respiratory and gastrointestinal complications, blindness, deafness, mental and behavioral deficits, and chronic disorders in adulthood [4,5,6,7,8]. The neonatal morbidity and mortality resulting from PTD impose a substantial economic burden on health services worldwide. Several methods are currently being used to predict preterm labor in singleton pregnancies, including taking the history of previous preterm birth or late miscarriage, measurement of cervical length, fetal fibronectin, inflammatory markers, and the vaginal microbiome [9, 10]. However, the prediction of PTD in twin pregnancy has been rarely investigated because multiple pregnancies encompass various underlying pathological mechanisms [11]. Identifying patients at higher risk of PTD in twin pregnancies would help develop effective interventions to prevent adverse perinatal outcomes associated with PTD. In addition, risk assessment of PTD can avoid unnecessary interventions for lower-risk women and save medical service resources.

Although there are multiple causes of spontaneous PTD, three main factors that lead to spontaneous PTD include cervical remodeling, premature myometrial contractions, and premature rupture of membranes [12]. These events can occur in no particular sequence but may interactively affect each other [13]. Cervical remodeling is a process of ripening characterized by softening, disappearance, and finally early dilation of the cervix. The function of the cervix is to keep the fetus in the mother’s uterus during the softening process and facilitate birth after it ripens and dilates [14]. Premature softening and ripening of the cervix are related to shortening and PTD. Currently, various methods have been suggested for predicting PTD in twin pregnancies, and transvaginal cervical length (TVCL) measurement in the second trimester has been shown to help predict spontaneous PTD [15,16,17]. However, the major limitation of using cervical length alone in the second trimester is its low sensitivity and positive predictive value for PTD [16, 18].

It would be beneficial to consider other earlier complementary PTD prediction methods to provide prevention promptly. Transvaginal cervical elastography is a non-invasive and repeatable screening technique for measuring cervical softness in pregnant women. Elastography methods can be classified into strain elastography (SE) and shear wave elastography (SWE) based on the physical parameters being measured [19]. However, SE requires the application of pressure on the ultrasound probe to generate a ‘tissue deformation’ on the region of interest (ROI) [20]. In addition, the manual force applied to the probe depends on the hardness of the cervical tissue. The harder the cervix is, the more pressure is required to compress it and vice versa [19, 20]. Since the magnitude of pressure is highly influenced by the operator, SE is not an objective nor a standardized method. In contrast, SWE relies on acoustic radiation force impulse for imaging and measurements and is operator-independent [21]. SWE is a non-invasive approach that quantifies tissue mechanical properties, such as stiffness, using shear wave speed in the target tissue [22, 23]. Recently, it has been widely performed on patients with varying degrees of liver fibrosis [24], benign and malignant nodules in the breast and thyroid [25, 26] and the pathological staging of prostate cancer [27].

Several studies have investigated the role of SWE in predicting PTD or labor induction of singleton pregnancy, but very few have focused on twin pregnancy [28,29,30,31]. Since DCDA pregnancy is associated with lower rates of miscarriage and preterm birth than monochorionic diamniotic (MCDA) pregnancy, we performed cervical SWE on women with DCDA twins to investigate the changes in cervical tissue stiffness during three gestational periods and to assess the predictive value of SWE for PTD before 37 weeks in DCDA twin pregnancy.

Material and methods

Subjects

This study was conducted between August 2020 and June 2021. Eligible Chinese pregnant women carrying DCDA twins were invited to participate in this study and were enrolled at 20–23+ 6 weeks of gestation from The Third Affiliated Hospital of Guangzhou Medical University. All cervical SWE measurements on each woman were performed by one operator (JM Sun). Cervical length and stiffness (by SWE) were measured across three consecutive gestations (20–23+ 6 weeks, 24–27+ 6 weeks and 28–32 weeks) until spontaneous labor or admission for induction of labor. Women aged less than 18 years and women who had cervical lesions, uterine malformations or cervical surgery history were excluded. Demographic data, obstetric data and pregnancy outcomes were collected. The study protocol was reviewed and approved by the Institution Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University (approval number: 2020172). Written informed consent was obtained from all subjects.

Measurement of cervical elasticity by SWE

Before the examination, all pregnant women were put in a lithotomy position with an empty bladder. A transvaginal scan of the cervix was performed using a Resona R9 system (Mindray Medical International, Shenzhen, China) equipped with a DE10-3WU endovaginal probe. Measurement of cervical length and cervical stiffness by SWE were performed by one operator who has been accredited for the measurement of cervical length by the Fetal Medicine Foundation (FMF) (www.fetalmedicine.org) and underwent extensive cervical elastography training. Two operators assessed the measurements of the first 30 women to evaluate the intra- and inter-observer reproducibility. Both operators were blinded to the images assessed by each other.

The Resona R9 system provides the motion stability index (M-STB Index), ranging from one to five green stars, to help physicians monitor the stability of the shear wave on cervix tissue in real-time. The lower the motion interference, the more the green stars. When the M-STB index is four or five stars, it indicates that limited tissue motion has little influence on the shear wave stability in the ROI. The system also uses the reliability index (RLB-index) for additional quality control. RLB Map reflects the credible and non-credible regions of the data results on a shear wave image in real-time. The green region is highly credible, whereas the purple region is of low credibility. When the RLB map is uniformly distributed green, and the RLB-index is over 95%, it shows high credibility.

Cervical length was measured in strict compliance with the FMF protocol. Once cervical length measurement was completed, the operator turned on the cervical shear wave software and generated an elastography map of the entire cervix. Three cervical elastography images were acquired when the shear wave images became stable, which RLB-index was>95%, and the M-STB index had four stars or above (Fig. 1a). The mean SWE value of the cervix was obtained from six regions, namely the inner, middle and outer regions of the anterior and posterior cervical lips with a 5-mm-diameter ROI (Fig. 1b). For subjects in whom the entire elastography cervix map was difficult to obtain, the cervical elastography images of the ROIs were acquired separately. The Young’s modulus value (E) is related to the shear wave speed (Vs): E = 3ρVs2, where ρ represents a density of the tissue (1000 kg/m3). The tissue stiffness measured by SWE can be expressed as either shear wave speed in m/s or Young’s modulus in kPa [32]. The machine automatically calculates the mean SWE value into Young’s modulus and shows it on the lower screen in “kPa” (Fig. 1b). The cervical stiffness of the participants was measured using the same method across three consecutive gestations (20–23+ 6 weeks, 24–27+ 6 weeks and 28–32 weeks).

Fig. 1
figure 1

Measurement of cervical mean SWE value. Cervical stiffness of the inner, middle and outer regions of the anterior and posterior cervical lip was measured using SWE. Inner anterior cervical lip (ACL), inner posterior cervical lip (PCL); middle ACL, middle PCL; outer ACL, outer PCL. The diameter of the target regions of interest was set to 5 mm

Full size image

Statistical analysis

The cervical stiffness and baseline characteristics were compared between the preterm and the term pregnancy groups. The normality of variables was assessed using the Kolmogorov–Smirnov test. Normally distributed continuous variables and non-normally distributed variables were analyzed using the Student’s t-test and Mann-Whitney U test. Categorical variables were compared using the chi-square test or Fisher’s exact test. The intra- and inter-observer agreements were assessed by the intraclass correlation coefficient (ICC). A binary logistic regression analysis was used to calculate the significant covariates for predicting PTD. ROC curves were then plotted for the regression models to evaluate their discriminative ability. Two-way repeated-measures ANOVA was used to compare the stiffness of different regions of the cervical lip in different gestational ages. A two-tailed P value of < 0.05 was considered statistically significant. Statistical analysis was performed using IBM SPSS version 23 (SPSS, Inc., Chicago, IL, USA) and MedCalc Statistical Software version 20.0.1 (MedCalc Software Ltd., Ostend, Belgium).

Ethics

The study protocol was reviewed and approved by the Institution Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University (approval number: 2020172). Written informed consent was obtained from all participants.

Results

Among 138 women, six were excluded due to cervical cerclage, two withdrew, eight were excluded due to loss of follow-up, and 30 had incomplete serial measurements. The remaining 92 women completed the three elastography examinations, and 1656 cervical elasticity data were collected for subsequent analysis. There were 54 cases of PTD, including 10 cases before 34 weeks, 12 cases between 34 and 35+ 6 weeks, and 32 cases between 36 and 36+ 6 weeks. The prevalence of PTD and TD was 58.7% (54/92) and 41.3% (38/92), respectively (Fig. 2).

Fig. 2
figure 2

Study workflow

Full size image

Baseline characteristics of pregnant women and the outcome of neonates are summarized in Table 1. There were significant differences in gestational age at birth, birth weight and neonatal intensive care unit (NICU) admission. However, no differences in maternal age, BMI, obstetric history, prior history of PTD, the way of conception and Apgar score between the two groups. The median gestation at birth was significantly lower in the PTD group [36.14 (34.25, 36.71) weeks] than in the TD group [37.29 (37.11, 37.61) weeks] (p < 0.001). The median birth weight was higher in the TD group than in the PTD group [twin 1: 2632.5 (2437.5, 2632.5)g vs. 2385 (1972.5, 2550)g, P<0.001; twin 2: 2620 (2450, 2802.5)g vs. 2285 (2025.75, 2442.5)g, P = 0.001]. The PTD group had more newborns admitted to NICU than TD group [twin 1 NICU admission: 17 (31.5%) vs. 0(0%), P<0.001; twin 2 NICU admission: 17 (31.5%) vs. 2 (5.3%), P = 0.003].

Table 1 Baseline characteristics of pregnant women and the outcome of neonates
Full size table

We compared the mean SWE value of the six cervical regions across three gestational ages between the TD and PTD groups (Fig. 3). Cervical softness was significantly highest at 20–23+ 6 weeks (p < 0.001) (Fig. 3). In addition, the cervical mean SWE value was lower in the PTD group than in the TD group in all three gestational ages, except for the anterior cervical lip at 28–32 weeks. The cervical mean SWE value also decreased from the inner os to the outer os of the anterior and posterior cervical lips during pregnancy (Fig. 4).

Fig. 3
figure 3

The cervical mean SWE value significantly decreases as gestational age increases

Full size image
Fig. 4
figure 4

The cervical mean SWE value decreases from the inner region to the outer region of both the anterior and posterior cervical lip during pregnancy

Full size image

The receiver operating characteristic (ROC) curve analysis showed that the inner anterior cervical lip (ACL) at 28–32 weeks had the highest AUC (AUC = 0.677; p = 0.003; 95% confidence interval [CI], 0.571–0.771) than other parameters (Fig. 5, Supplemental Fig. 1). The sensitivity and specificity of the inner ACL were 83.3% (95% CI, 70.7–92.1) and 57.9% (95% CI, 40.8–73.7) when the cutoff value was 7.94kpa with a positive likelihood ratio (LR+), 1.67 (95% CI, 1.19–2.34) and negative likelihood ratio (LR–), 0.33 (95% CI, 0.17–0.64) (Fig. 5). Cervical length was a poor predictor for twin pregnancy. Its AUC was 0.508 (95% CI, 0.388–0.628) at 20–23+ 6 weeks, 0.556 (95% CI, 0.437–0.675) at 24–27+ 6 weeks, and 0.540 (95% CI, 0.421–0.659) at 28–32 weeks, respectively (Supplemental Fig. 2).

Fig. 5
figure 5

The ROC curve of the mean SWE value of the inner anterior cervical lip at 28–32 weeks of gestation

Full size image

The intra- and inter-observer agreements were assessed using two sonographers’ intraclass correlation coefficient (ICC). The ICC of each ROI was > 0.88 and > 0.85 for intra- and inter-observer agreement, respectively (Supplemental Table 1).

Discussion

The findings of this study suggest that the mean SWE value of the cervical lip may improve the prediction of PTD and can be used as a complementary screening method for cervical length in DCDA twin pregnancy. The mean SWE value at 28–32 weeks of the inner ACL is independently associated with PTD of DCDA twins and is superior to the cervical length measurement. There are several possible reasons for the higher predictive value of ACL elasticity than other parameters. Firstly, the internal os of the cervix has a sphincter-like structure in which smooth muscle tissues are concentrated around the cervix opening [33]. The internal os is essential for maintaining the normal shape of the cervical tissue and adjusting its length. Secondly, the SWE value of the ACL is a more confident measurement than that of the posterior cervical lip (PCL) because shear wave propagation is limited at further depth, resulting in higher shear wave loss in the PCL. Finally, the elasticity of the internal os is the highest compared to other regions. When the inner cervix is subjected to increased pressure from the uterine cavity and the pulling force of the cervix itself, the hardening of the internal cervix may serve as a protective mechanism for PTD.

According to the previous studies [31, 34, 35], cervical stiffness is heterogeneous and gradually decreases from the inner region to the outer region of the cervix, which is consistent with our study. In addition, our findings showed that as gestational age increased, the cervix gradually became softer. The human cervix is a dynamic structure composed of smooth muscles, fibroblasts, blood vessels and epithelial tissues, which form a fibrous connective tissue network consisting of 70% type I collagen and 30% type III collagen proteoglycan and elastin [36,37,38]. Joy et al. reported that the cervical mechanical strength in pregnancy depends on two aspects of cervical tissue architecture, the type of collagen network and degree of tissue hydration [12]. Due to cervical remodeling during pregnancy, the cervix tissue is softened at distinct stages by increasing instability and solubility of the collagen cross-links. In some rodent models, the spacing between the collagen and elastic fiber increases and mass density changes as pregnancy progresses [39].

Compared with the TD group, the PTD group has lower SWE values for all six cervical ROIs in the three gestational ages, except for the inner ACL at 28–32 weeks. Furthermore, cervical SWE value decreases as gestational age increases.

Many studies have used cervical length, cervical elastography or cervical consistency index to identify singleton pregnancy at risk of PTD. In twin pregnancies, most studies have focused on cervical length as a predictor for PTD [18, 40,41,42,43], very few have used cervical SWE as a tool to investigate the predictive effect of cervical changes on PTD. Ono et al. reported that SWE is a helpful tool for measuring the changes in cervical stiffness in 254 singleton pregnancies and 26 twin pregnancies [23]. Diawtipsukon et al. proposed that cervical SWE may be an additional option for monitoring the change in cervical softness in twin pregnancies by detecting the difference in cervical softness between singleton and twin pregnancies [44]. However, our study differs from these studies in three issues:

  1. 1.

    These studies had 2 ROIs consisting of the upper and lower regions of the ACL, whereas our study had 6 ROIs encompassing different regions of both the anterior and posterior cervical lip.

  2. 2.

    Previous studies included measurements in the first trimester while we began the cervical measurement at 20 weeks and performed repeated measurements across three consecutive gestational ages.

  3. 3.

    These studies only had 26 or 36 women with twin pregnancies, while our study had a much larger sample size.

The main strength of our study is the prospective design, with three consecutive measurements of cervical elasticity across three consecutive gestations to analyze the trend of change in cervical stiffness and the association between stiffness and PTD in DCDA twin pregnancy. To the best of our knowledge, this is the first study that applied SWE to predict PTD in DCDA twin pregnancy with relatively large sample size. However, there are also several limitations in this study. First, this study was conducted single-center, and there may be bias. Second, the study population consisted of only Chinese women, which may limit generalizability to other populations. Finally, a systematic review involving 29,864 twin pregnancies showed that the perinatal morbidity and mortality of twins differ by chorionicity, and monochorionic twin pregnancies are significantly associated with an increased risk of PTD [45]. However, our analysis only included DCDA twin pregnancy.

In conclusion, our study demonstrated a significant negative correlation between cervical stiffness and gestational age in DCDA twin pregnancy. Cervical SWE value is lower in the PTD group than TD across all three gestational ages, except for the ACL at 28–32 weeks. In addition, SWE value decreases from the inner os to the outer os of the cervix in all three gestational ages. SWE is a potential tool for assessing cervical stiffness and predicting PTD in DCDA twin pregnancy.

Availability of data and materials

The datasets generated during the current study are available from the corresponding author on reasonable request. The authors may not be able to make their datasets publicly available to protect patients’ privacy.

Abbreviations

SWE:

Shear wave elastography

PTD:

Preterm delivery

DCDA:

Dichorionic diamniotic

TD:

Term delivery

ROC:

Receiver operating characteristic

SE:

Strain elastography

ROI:

Region of interest

MCDA:

Monochorionic diamniotic

FMF:

Fetal Medicine Foundation

ICC:

Intraclass correlation coefficient

ACL:

Anterior cervical lip

PCL:

Posterior cervical lip

References

  1. Chien P. The perinatal burden of preterm delivery and twin pregnancy. BJOG. 2019;126(5):549–50.

    Article  PubMed  Google Scholar 

  2. Dom AM, Mather A, Seligman NS. Prevention of preterm birth in multiples. Curr Opin Obstet Gynecol. 2021;33(2):72–7.

    Article  PubMed  Google Scholar 

  3. Fuchs F, Senat MV. Multiple gestations and preterm birth. Semin Fetal Neonatal Med. 2016;21(2):113–20.

    Article  CAS  PubMed  Google Scholar 

  4. Yuan W, Tamm L, Harpster K, Altaye M, Illapani VSP, Parikh NA. Effects of intraventricular hemorrhage on white matter microstructural changes at term and early developmental outcomes in infants born very preterm. Neuroradiology. 2021;63(9):1549–61.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Luu TM, Rehman Mian MO, Nuyt AM. Long-term impact of preterm birth: neurodevelopmental and physical health outcomes. Clin Perinatol. 2017;44(2):305–14.

    Article  PubMed  Google Scholar 

  6. Jaekel J. The impact of preterm birth on the life course: assessment challenges and future directions. Dev Med Child Neurol. 2020;62(12):1347.

    Article  PubMed  Google Scholar 

  7. Diemert A, Arck PC. Preterm birth: pathogenesis and clinical consequences revisited. Semin Immunopathol. 2020;42(4):375–6.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Martinka D, Barrett J, Mei-Dan E, Zaltz A, Melamed N. Respiratory morbidity in late preterm twin infants. Arch Gynecol Obstet. 2019;300(2):337–45.

    Article  PubMed  Google Scholar 

  9. Suff N, Story L, Shennan A. The prediction of preterm delivery: what is new? Semin Fetal Neonatal Med. 2019;24(1):27–32.

    Article  PubMed  Google Scholar 

  10. Glover AV, Manuck TA. Screening for spontaneous preterm birth and resultant therapies to reduce neonatal morbidity and mortality: a review. Semin Fetal Neonatal Med. 2018;23(2):126–32.

    Article  PubMed  Google Scholar 

  11. Weiner E, Dekalo A, Feldstein O, Barber E, Schreiber L, Bar J, et al. The placental factor in spontaneous preterm birth in twin vs. singleton pregnancies. Eur J Obstet Gynecol Reprod Biol. 2017;214:1–5.

    Article  CAS  PubMed  Google Scholar 

  12. Vink J, Myers K. Cervical alterations in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2018;52:88–102.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Vink J, Feltovich H. Cervical etiology of spontaneous preterm birth. Semin Fetal Neonatal Med. 2016;21(2):106–12.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Yellon SM. Immunobiology of cervix ripening. Front Immunol. 2019;10:3156.

    Article  CAS  PubMed  Google Scholar 

  15. Lim AC, Hegeman MA, Huis In TVMA, Opmeer BC, Bruinse HW, Mol BW. Cervical length measurement for the prediction of preterm birth in multiple pregnancies: a systematic review and bivariate meta-analysis. Ultrasound Obstet Gynecol. 2011;38(1):10–7.

    Article  CAS  PubMed  Google Scholar 

  16. Pagani G, Stagnati V, Fichera A, Prefumo F. Cervical length at mid-gestation in screening for preterm birth in twin pregnancy. Ultrasound Obstet Gynecol. 2016;48(1):56–60.

    Article  CAS  PubMed  Google Scholar 

  17. Prodan N, Wagner P, Sonek J, Abele H, Hoopmann M, Kagan KO. Single and repeat cervical-length measurement in twin gestation with threatened preterm labor. Ultrasound Obstet Gynecol. 2020;55(4):496–501.

    Article  CAS  PubMed  Google Scholar 

  18. Hester AE, Ankumah NE, Chauhan SP, Blackwell SC, Sibai BM. Twin transvaginal cervical length at 16-20 weeks and prediction of preterm birth(). J Matern Fetal Neonatal Med. 2019;32(4):550–4.

    Article  PubMed  Google Scholar 

  19. Shiina T, Nightingale KR, Palmeri ML, Hall TJ, Bamber JC, Barr RG, et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: part 1: basic principles and terminology. Ultrasound Med Biol. 2015;41(5):1126–47.

    Article  PubMed  Google Scholar 

  20. Wozniak S, Czuczwar P, Szkodziak P, Milart P, Wozniakowska E, Paszkowski T. Elastography in predicting preterm delivery in asymptomatic, low-risk women: a prospective observational study. BMC Pregnancy Childbirth. 2014;14:238.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Carlson LC, Feltovich H, Palmeri ML, Dahl JJ. Munoz del Rio a, Hall TJ: estimation of shear wave speed in the human uterine cervix. Ultrasound Obstet Gynecol. 2014;43(4):452–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Rosado-Mendez IM, Carlson LC, Woo KM, Santoso AP, Guerrero QW, Palmeri ML, et al. Quantitative assessment of cervical softening during pregnancy in the Rhesus macaque with shear wave elasticity imaging. Phys Med Biol. 2018;63(8):085016.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Ono T, Katsura D, Yamada K, Hayashi K, Ishiko A, Tsuji S, et al. Use of ultrasound shear-wave elastography to evaluate change in cervical stiffness during pregnancy. J Obstet Gynaecol Res. 2017;43(9):1405–10.

    Article  PubMed  Google Scholar 

  24. Jeong JY, Cho YS, Sohn JH. Role of two-dimensional shear wave elastography in chronic liver diseases: a narrative review. World J Gastroenterol. 2018;24(34):3849–60.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Youk JH, Gweon HM, Son EJ. Shear-wave elastography in breast ultrasonography: the state of the art. Ultrasonography (Seoul, Korea). 2017;36(4):300–9.

    Google Scholar 

  26. Hu X, Liu Y, Qian L. Diagnostic potential of real-time elastography (RTE) and shear wave elastography (SWE) to differentiate benign and malignant thyroid nodules: a systematic review and meta-analysis. Medicine. 2017;96(43):e8282.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Wei C, Li C, Szewczyk-Bieda M, Upreti D, Lang S, Huang Z, et al. Performance characteristics of Transrectal shear wave Elastography imaging in the evaluation of clinically localized prostate Cancer: a prospective study. J Urol. 2018;200(3):549–58.

    Article  PubMed  Google Scholar 

  28. Agarwal A, Agarwal S, Chandak S. Role of acoustic radiation force impulse and shear wave velocity in prediction of preterm birth: a prospective study. Acta Radiol. 2018;59(6):755–62.

    Article  PubMed  Google Scholar 

  29. Hernandez-Andrade E, Maymon E, Luewan S, Bhatti G, Mehrmohammadi M, Erez O, et al. A soft cervix, categorized by shear-wave elastography, in women with short or with normal cervical length at 18-24 weeks is associated with a higher prevalence of spontaneous preterm delivery. J Perinat Med. 2018;46(5):489–501.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Suthasmalee S, Moungmaithong S. Cervical shear wave elastography as a predictor of preterm delivery during 18-24 weeks of pregnancy. J Obstet Gynaecol Res. 2019;45(11):2158–68.

    Article  CAS  PubMed  Google Scholar 

  31. Lu J, Cheng YKY, Ho SYS, Sahota DS, Hui LL, Poon LC, et al. The predictive value of cervical shear wave elastography in the outcome of labor induction. Acta Obstet Gynecol Scand. 2020;99(1):59–68.

    Article  PubMed  Google Scholar 

  32. Lu J, Chen M, Chen Q-H, Wu Q, Jiang J-N, Leung T-Y. Elastogram: physics, clinical applications, and risks. Matern Fetal Med. 2019;1(2):113–22.

    Article  Google Scholar 

  33. Vink JY, Qin S, Brock CO, Zork NM, Feltovich HM, Chen X, et al. A new paradigm for the role of smooth muscle cells in the human cervix. Am J Obstet Gynecol. 2016;215(4):478 e471–11.

    Article  Google Scholar 

  34. Peralta L, Molina FS, Melchor J, Gomez LF, Masso P, Florido J, et al. Transient Elastography to Assess the Cervical Ripening during Pregnancy: A Preliminary Study. Ultraschall Med. 2017;38(4):395–402.

    Article  PubMed  Google Scholar 

  35. Duan H, Chaemsaithong P, Ju X, Ho SYS, Sun Q, Tai YY, et al. Shear-wave sonoelastographic assessment of cervix in pregnancy. Acta Obstet Gynecol Scand. 2020;99(11):1458–68.

    Article  PubMed  Google Scholar 

  36. Nott JP, Bonney EA, Pickering JD, Simpson NAB. The structure and function of the cervix during pregnancy translational research in anatomy; 2016. p. 2.

    Google Scholar 

  37. Yan Y, Basij M, Garg A, Varrey A, Alhousseini A, Hsu R, et al. Spectroscopic photoacoustic imaging of cervical tissue composition in excised human samples. PLoS One. 2021;16(3):e0247385.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Myers KM, Paskaleva AP, House M, Socrate S. Mechanical and biochemical properties of human cervical tissue. Acta Biomater. 2008;4(1):104–16.

    Article  CAS  PubMed  Google Scholar 

  39. Yoshida K, Jayyosi C, Lee N, Mahendroo M, Myers KM. Mechanics of cervical remodelling: insights from rodent models of pregnancy. Interface Focus. 2019;9(5):20190026.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Berveiller P, Rousseau A, Rousseau M, Bitumba I, Goffinet F, Rozenberg P. Risk of preterm birth in a twin pregnancy after an early-term birth in the preceding singleton pregnancy: a retrospective cohort study. BJOG. 2020;127(5):591–8.

    Article  CAS  PubMed  Google Scholar 

  41. Brock CO, Moroz LA, Gyamfi-Bannerman C. Cervical length as a predictor of preterm delivery in an unselected cohort of women with twin pregnancies. Am J Perinatol. 2019;36(12):1288–94.

    Article  PubMed  Google Scholar 

  42. Moroz LA, Brock CO, Govindappagari S, Johnson DL, Leopold BH, Gyamfi-Bannerman C. Association between change in cervical length and spontaneous preterm birth in twin pregnancies. Am J Obstet Gynecol. 2017;216(2):159 e151–7.

    Article  Google Scholar 

  43. van der Merwe J, Couck I, Russo F, Burgos-Artizzu XP, Deprest J, Palacio M, et al. The predictive value of the cervical consistency index to predict spontaneous preterm birth in asymptomatic twin pregnancies at the second-trimester ultrasound scan: a prospective cohort study. J Clin Med. 2020;9(6):1784.

    Article  PubMed Central  Google Scholar 

  44. Diawtipsukon S, Bumrungphuet S, Dulyaphat W, Panburana P. The comparative study of cervical shear wave Elastography between twin and singleton pregnancy. Int J Women's Health. 2020;12:649–56.

    Article  Google Scholar 

  45. Marleen S, Dias C, Nandasena R, MacGregor R, Allotey J, Aquilina J, et al. Association between chorionicity and preterm birth in twin pregnancies: a systematic review involving 29 864 twin pregnancies. BJOG. 2021;128(5):788–96.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We would like to thank all participants and their families for their kind cooperation.

Funding

The work was supported by the National Key Research and Development Program of China. (2018YFC1004104) and Guangzhou Science and Technology Program (No. 202102010129).

Author information

Authors and Affiliations

  1. Department of Obstetrics and Gynecology, Department of Fetal Medicine and Prenatal Diagnosis, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Liwan District, Guangzhou, China

    Jimei Sun, Nan Li, Wei Jian, Dingya Cao & Min Chen

  2. Global UIS Academic Department, Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China

    Junying Yang

Authors
  1. Jimei Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wei Jian
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dingya Cao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Junying Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Min Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

M.C. and N.L. conceived and designed the study. J.M.S. performed ultrasound examination and collect the data. J.M.S., N.L., W.J., D.Y.C, Y.J.Y and M.C. analyzed the data, discussed the results, and commented on the manuscript. J.M.S. wrote the manuscript. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Min Chen.

Ethics declarations

Ethics approval and consent to participate

This study was reviewed and approved by the Institution Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University (approval number: 2020172). All procedures performed in the study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Written informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplemental Table 1.

Intra-class correlation coefficients of intra- and inter-observer agreement at six ROIs.

Additional file 2: Supplemental Figure 1.

The ROC curves of the mean SWE value of the different cervical ROIs.

Additional file 3: Supplemental Figure 2.

The ROC curves of the cervical length.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, J., Li, N., Jian, W. et al. Clinical application of cervical shear wave elastography in predicting the risk of preterm delivery in DCDA twin pregnancy. BMC Pregnancy Childbirth 22, 202 (2022). https://doi.org/10.1186/s12884-022-04526-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12884-022-04526-0

Keywords

BMC Pregnancy and Childbirth

ISSN: 1471-2393

Contact us