Skip to main content

Aspiration technique-based device is more reliable in cervical stiffness assessment than digital palpation

Abstract

Background

The purpose of this study was to compare the reliability and reproducibility of the traditional qualitative method of assessing uterine cervical stiffness with those of a quantitative method using a novel device based on the aspiration technique.

Methods

Five silicone models of the uterine cervix were created and used to simulate different cervical stiffnesses throughout gestation. The stiffness of the five cervix models was assessed both by digital palpation (firm, medium and soft) and with the Pregnolia System. Five self-trained participants conducted the device-based assessment, whereas 63 obstetricians and midwives, trained in digital palpation, conducted the cervical palpation.

Results

The results of the two methods were analyzed in terms of inter-and intra-observer variability. For digital palpation, there was no common agreement on the assessment of the stiffness, except for the softest cervix. When assessing the same cervix model for a second time, 76% of the obstetricians and midwives disagreed with their previous assessment. In contrast, the maximum standard deviation for the device-based stiffness assessment for intra- and inter-observer variability was 3% and 3.4%, respectively.

Conclusions

This study has shown that a device based on the aspiration technique provides obstetricians and midwives with a method for objectively and repeatably assess uterine cervical stiffness, which can eliminate the need to rely solely on a subjective interpretation, as is the case with digital palpation.

Peer Review reports

Background

Appropriate mechanical functioning of the uterine cervix, the cervical competence, is critical for maintaining pregnancy until term and allowing the fetus to mature [1, 2]. For delivery at term the cervix must soften, shorten and fully dilate during the latent first and second stage of labor [3, 4].

Cervical length, cervical consistency or softness, and cervical dilatation are three clinical parameters used to describe cervical ripening throughout pregnancy and to predict time of delivery [1, 5, 6]. Softening is related to changes in collagen content and organization, structural cervical changes, an increase of water content, and concentration of proteoglycans in the extracellular matrix [1, 7, 8]. Cervical softening can already be detected in the first month after fertilization [9], and continues progressively throughout pregnancy [9,10,11,12,13,14,15], while cervical length remains stable until it gradually shortens during the third trimester [16]. Cervical dilatation generally starts with labor [11], with delivery being preceded by complete cervical softening, shortening and dilatation [5].

Predicting timing of delivery plays an important role in prenatal care. Anticipating whether a birth may occur preterm allows for clinical interventions that can delay prematurity [17,18,19,20], or accelerate fetal development [21], and currently this assessment relies heavily on determining the length of the cervix [20]. Timing the delivery can also be relevant in the success of induction of labor. Presently, clinicians assess cervical maturation using the Bishop Score to determine the need for cervical ripening prior to induction. A softer, shorter and more dilated cervix is associated with a shorter time to labor onset, as well as a smaller risk for a failed induction and a cesarean section due to cervical dystocia [10, 22] Cervical dystocia happens when the cervical ripening does not occur at term and the cervix does not shorten and dilate. If, however, cervical ripening occurs too fast (cervical incompetence) there is a higher risk for preterm birth [23]. Ultimately, more accurately predicting delivery timing can reduce levels of neonatal morbidity and mortality. The ability of the cervix to fulfil its different roles throughout pregnancy is fundamental to ensure a timely and successful delivery, and therefore there is strong clinical interest in evaluating its condition [10].

By digitally palpating the cervix during a pelvic exam, cervical status can be evaluated by its tissue stiffness, its length and its dilatation [5, 22, 24]. With the introduction of ultrasound, cervical length and cervical dilation to an extent became objectively quantifiable parameters for estimating the risk of preterm delivery [25]. Cervical softness, however, remained a subjective evaluation by the obstetrician or the midwife, dependent on the experience of the examiner [5]. There is no well-established objective technique to assess the cervical softness during pregnancy. Different ultrasound-based elastography methods have lately been applied in clinical trials to study cervical stiffness in pregnancy. However, these methods have shortcomings, namely the characterization of the applied force, leading to operator dependency, or the limitations on the assumptions made about the biomechanical properties of the cervical tissue, which do not allow a clear interpretation of the results, leading to a lack of a clear cut-off value for predicting preterm birth [26].

In this study, we compare inter-observer and intra-observer variability of two methods to assess cervical stiffness: i) digital palpation, and ii) a new device based on the aspiration technique (Pregnolia System).

Methods

For this study, five silicone models of the uterine cervix were used to simulate different cervical stiffnesses. These models were used as test samples for the two cervical stiffness assessment methods described in this section.

Production of the cervix models

Five silicone cervix models were produced using a two-component platinum silicone rubber gel (EcoFlex™ GEL, Smooth-On Inc.), with Shore hardness of 000–35. The two components were mixed by hand in a 1:1 ratio by weight. A small amount of Flesh (PMS 488C) and Red (PMS 186C) pigments (Silc Pig™, Smooth-On Inc.) was added to the material and mixed by hand, to color the model.

To achieve different stiffnesses, a softener (Slacker®, Smooth-On Inc.) was added to the mixture at different ratios: 0% (pure EcoFlex™ Gel), 10%, 20%, 35%, and 65%.

These mixtures were then thoroughly mixed and poured into Plexiglas molds (Fig. 1a) previously treated with a releasing agent (Ease Release™ 200, Mann Release Technologies) according to the datasheet. This treatment was necessary to easily release the models from the mold.

Fig. 1
figure1

a) Materials for silicone production: support cylinder and mold; b) dimensions of the support cylinder and of the cervix model; c) cervix model; d) five cervix models produced e) Cervical Stiffness Index (pcl in mbar) at different gestational ages (from Badir et al., 2013 [10], blue bars, mean ± standard deviation) and closing pressure of the five silicone cervices produced (pink dots)

The Plexiglas mold partially resembled the shape of the cervix, producing a half-sphere with a diameter of 28 mm and a small hole in the center to simulate the cervical canal (Fig. 1b and c). A Plexiglas cylinder (outer diameter 30 mm, inner diameter 26 mm and height 50 mm), inserted in the mold served as support for the silicone cervix (Fig. 1b and c).

The silicone was then cured for at least 2 h at room temperature. Once cured, the silicone cervices were gently removed from the mold and their surfaces were covered with talcum powder to avoid stickiness (Fig. 1d).

The five cervix models were produced to obtain a range of cervical stiffness values that resemble the ones of the human cervix during the second (weeks 5–8), third (weeks 9–12), fourth (weeks 13–17), sixth (weeks 22–25) and ninth (weeks 36–40) months of gestation, according to the values obtained in vivo by Badir et al. [10], see Fig. 1e.

Pregnolia System

The Pregnolia System is a new device used to assess the stiffness of the uterine cervix. The procedure is based on the aspiration technique, as described in [10, 27, 28].

Briefly, the device is composed of two elements: (i) a control unit containing a pump, which creates a vacuum following a defined negative pressure versus time curve; and (ii) a single-use sterile probe (Fig. 2) applied on the cervix through a speculum. As soon as a tight contact between the probe tip and the anterior lip of the cervix is established, the tissue is slowly and gently pulled into the tip until it touches the ceiling of the tip’s cylindrical cavity. The vacuum pressure needed to achieve this 4 mm displacement is the closing pressure (pcl), which is a proxy value for cervical stiffness and is called Cervical Stiffness Index (CSI).

Fig. 2
figure2

The Pregnolia System is used by placing the probe directly on the uterine cervix. The tissue is gently pulled into the probe tip by a fixed distance

A prototype of the Pregnolia System has been previously used in a clinical trial to assess the cervical stiffness of 50 pregnant and 50 non-pregnant women, as reported by Badir et al. [10].

Pregnolia System test protocol and analysis

Five self-trained participants measured the stiffness of the five cervix models using the Pregnolia System (Fig. 3). Each participant conducted stiffness measurements on all five cervices at 9 am, 12 pm and 3 pm (T1, T2, T3). This led to a total of three measurements per cervix per participant and a total of 15 measurements per cervix. All measurements were conducted on the same location with the same measurement procedure, using the same measuring device. Participants measured all five cervices over a short period of time.

Fig. 3
figure3

Pregnolia System test. The stiffness of the five cervices is assessed using the Pregnolia System by each participant at three different time points

Results were analyzed in terms of inter- and intra-observer variability [29] and are reported as mean (σ) and standard deviation (μ). The relative standard deviation (RSD) was calculated to expresses how tightly the data are clustered around the mean value, with a small relative standard deviation indicating high precision.

Digital palpation test protocol and analysis

For this test, 63 participants were selected: 33 obstetricians and 30 midwives, all trained in performing cervical palpation. Among those, 61% of the obstetricians and 73% of the midwives stated they perform cervical palpation routinely. Each participant was asked to categorize the stiffness of the silicone cervices as firm, medium or soft. They were sequentially given eight cervices to assess, first receiving each of the five cervices in a random order, and subsequently, without their knowledge, three repetitions, selected at random.

Results were analyzed in terms of inter- and intra-observer variability [29]. For assessing the reliability of the rating among participants, we computed Fleiss’ kappa [30] for the first rating of each of the five silicone cervices, i.e. excluding repetitions. Where reported, statistical significance was calculated with a Mann-Whitney U test, p-value < 0.05.

Ethics

Ethics approval for this study is deemed not necessary according to national legislations (Human Research Act 810.30, see “Declarations” for more details).

Results

Pregnolia System test

Figure 4 shows the results obtained as closing pressure (pcl) in mbar. Cervix models are reported from the stiffest (cervix 1) to the softest one (cervix 5). For each cervix, 15 data points are reported.

Fig. 4
figure4

Results of the assessment made using the Pregnolia System, showed as Cervical Stiffness Index (pcl in mbar). n = 15 for each cervix

Intra-observer variability

Table 1 reports the results obtained for the intra-observer variability test for each of the five participants. Each participant assessed the stiffness of the five cervix models 3 times (9 am, 12 pm, 3 pm). Results are reported as mean (μ) ± standard deviation (σ) and as relative standard deviation (RSD). The maximum relative standard deviation was 3%.

Table 1 Results of the intra-observer variability test

Inter-observer variability

Table 2 reports the results obtained for the inter-observer variability test, stated per time point. The stiffness of each model was assessed five times during each time point, once per participant. Results are reported as mean (μ) ± standard deviation (σ) and as relative standard deviation (RSD). The maximum relative standard deviation observed was 3.4%.

Table 2 Results for the inter-observer variability test

Digital palpation test

Inter-observer variability

Figure 5a shows the results of the assessment of the first silicone model presented to each participant. When assessing a cervix model for the first time, the participants did not have any reference and therefore their judgements were not influenced by other parameters, such as the comparison with previous models.

Fig. 5
figure5

a) Inter-observer variability results of the assessment of the first cervix for each participant (n = 6, 16, 13, 18, 10, respectively) Blue dots represent the assessment made using the device (as in Fig. 4). Pink circles indicate the percentage of participants giving the corresponding assessment (firm/medium/soft); b) Inter-observer variability results of the assessment of all the cervices (n = 111, 105, 101, 104, 83, respectively). Blue dots represent the assessment made using the device (as in Fig. 4). Pink circles indicate the percentage of participants giving the corresponding assessment (firm/medium/soft)

As shown in the figure, only the softest cervix (number 5) was given the same stiffness assessment by all participants, with no common rating for all the other cervices: 50% of the participants assessed cervix 1 as firm, and the remaining 50% as medium; participants assessed cervix 2 as firm (6%), medium (50%) and soft (44%); the stiffness of cervix 3 was considered by the participants medium (23%) or soft (77%) and cervix 4 was either medium (50%) or soft (50%). Note that the number of participants who assessed each cervix first varies: 6 participants assessed cervix 1 as first, 16 cervix 2, 13 cervix 3, 18 cervix 4 and 10 cervix 5.

To quantify the agreement reliability between the different raters, we computed a Fleiss’ kappa coefficient of 0.321 (95% confidence interval 0.317–0.325, p-value < 0.05), indicating only a fair level of agreement, according to the Altman classification (poor, fair, moderate, good and very good) [31].

Figure 5b reports all the results obtained. As for the previous results, cervix 5 was judged soft by all the participants. The assessment for cervices 1, 2 and 3 was split among all the three possibilities, whereas 75% of participant judged cervix 4 as soft, and the remaining 25% as medium.

Results were also assessed by splitting the participants into two categories: obstetricians and midwives (Table 3). No statistically significant differences were observed in the assessment of the stiffness when comparing the two categories.

Table 3 Assessment split for the two categories: obstetricians (O) and midwives (M)

Intra-observer variability

When assessing the same cervix model for a second time, only 24% of the participants did not change their previous assessment on any of the three repeated models. 44% of the participants changed the assessment of one model, 27% of two models and 5% of the participants changed the assessment of all three repeated models. In four cases, the assessment was changed from soft directly to stiff (once for cervix 1, twice for cervix 2, and once for cervix 3).

Table 4 reports the changes in the assessment of the stiffness. There were 189 total repetitions (63 participants, 3 repetitions each) and participant assessment changed 37% of the time. Among the changes, 21% were from a higher to a lower stiffness assessment, 79% from a lower to a higher. When split for categories (obstetricians and midwives), there were 42% changes among the repetitions of the obstetricians and 31% among the repetitions of the midwives (differences not statistically significant). The repeated cervices were evenly distributed among categories.

Table 4 Changes in the assessment of the stiffness

Distribution of the stiffness assessment

Figure 6 shows the distribution of the stiffness assessment in terms of closing pressure (pcl) based on digital palpation. As shown in the plot, a cervix assessed as “firm” by digital palpation can have a stiffness varying from ~ 110 to ~ 230 mbar. A cervix classified as medium can vary from ~ 70 to ~ 230 mbar. A soft cervix can have a stiffness in the range of ~ 35 to ~ 150 mbar.

Fig. 6
figure6

Each colored patch shows the interpolated range of the stiffness values (in mbar) of the silicone cervices, assessed by the participants through palpation as firm, medium or soft. The distributions indicate the broad and overlapping range of stiffnesses encompassed by each classification. For instance, most participants assess cervices with low pcl value stiffnesses as soft, however, the assessment of soft includes cervices with pcl values around 120 mbar, which were also assessed both as medium and soft

Discussion

In this study, the inter- and intra-observer variability of digital palpation and of the aspiration technique as methods for assessing cervical stiffness were analyzed and compared.

The results clearly demonstrate that digital palpation is an unreliable method to assess cervical stiffness. The method is subjective, but, to our knowledge, reliability has never been quantified. Results reported in Fig. 5 clearly show that digital palpation is not a sufficiently reproducible method, since different participants assessed the stiffness of the same cervices differently. Furthermore, this method is also not reliably repeatable, since when the same participants were asked to assess the stiffness of the same cervix, only 24% did not change their previous assessment at all. 44% of the participants changed the assessment at least once and 5% changed the assessment of all three the repeated cervices. Furthermore, when analyzing the aggregate data, it is patently observable that each of the traditional descriptors encompasses a wide range of actual stiffnesses, with intermediate stiffness levels being in fact described as soft, medium and stiff.

On the contrary, the aspiration technique-based device is a repeatable and reproducible method to assess the cervical stiffness, as demonstrated by the extremely low relative standard deviation calculated and the results reported in Fig. 4. The results also show the possibility of distinguishing much smaller differences in tissue stiffness compared to digital palpation, which poorly differentiates close stiffness values. This new technique could help obstetricians and midwives assess cervical stiffness in an objective and repeatable way without the need to rely on their own judgment.

Noteworthy, the aspiration technique-based device requires the use of a speculum during the examination, contrary to digital palpation. Speculum application is a common practice in the field of gynecology and obstetrics. Speculum-based examinations may be unpleasant for the women, however, also digital palpation may lead to discomfort and embarrassment for the woman [32].

Interestingly, a few participants commented that the stiffest cervix model, with the equivalent stiffness corresponding to gestational weeks 5–8, was, in their opinion, not representative of a stiff cervix. This can also be seen in Table 4: the majority of the changes were from a lower to a stiffer value, as both obstetricians and midwives initially judged the models softer than what they did at the end, after assessing several models. As reported by Badir et al. [10], a cervix of a non-pregnant woman can be more than twice as stiff as cervix 1, but we deliberately chose not to create a stiffer cervix since the Bishop score method was initially developed to assess the stiffness of women close to labor, when the cervix is very soft (see Fig. 1e, weeks 36–40 of gestation). Given the fact that the division among stiff, medium and soft is made close to labor, we anticipated that a stiffness of ~ 220 mbar, corresponding to a cervix at gestational weeks 5–8, would be far stiffer than what is normally assessed by digital palpation in women close to labor.

The strength of the study lies in the innovative, reproducible non-invasive method for analyzing cervical consistency and the large number of participants assessing cervical stiffness. However, the primary limitation of this study is due to the fact that stiffness was measured on silicone models and not in vivo on actual cervices. Cervical tissue in pregnancy is not homogenous in the anterior and posterior part and depends on maternal factors (parity, weight, age). While there is no reason to believe that human operator objectiveness would increase in vivo, these conclusions would gain by the performance of a similar study in vivo, where the performance of the device in real tissue can be measured. Due to this fact, we cannot directly compare this method to Bishop score, or assess outcome prediction. Furthermore, the device does not analyze the full depth of the cervical tissue, however previous comparison to a method that measures tissue stiffness on the whole cervix showed equivalent results [33]. Some of the participants reported that the models feel different from real cervices, noting that there is no mucus and the shape of the model cervix is only partially representative of the real one, preventing them from palpating the lateral side of the cervix. Nevertheless, as shown in Fig. 1e, the stiffness of the silicone models is representative of the physiological cervices [10].

Conclusion

This study has shown that an aspiration technique-based device provides obstetricians and midwives with a method for objectively and repeatably assessing uterine cervical stiffness, eliminating sole reliance on subjective interpretations from digital palpation.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CSI:

Cervical stiffness index

Pcl :

Closing pressure

References

  1. 1.

    Myers KM, Feltovich H, Mazza E, Vink J, Bajka M, Wapner RJ, et al. The mechanical role of the cervix in pregnancy. J Biomech. 2015;48:1511–23.

    Article  Google Scholar 

  2. 2.

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

    CAS  Article  Google Scholar 

  3. 3.

    Timmons B, Akins M, Mahendroo M. Cervical remodeling during pregnancy and parturition. Trends Endocrinol Metab. 2010;21:353–61.

    CAS  Article  Google Scholar 

  4. 4.

    Feltovich H, House M. Innovative methods of cervical assessment and potential for novel treatment. Clin Obstet Gynecol. 2014;57:531–6.

    Article  Google Scholar 

  5. 5.

    Feltovich H. Cervical evaluation. Obstet Gynecol. 2017;130:51–63.

    Article  Google Scholar 

  6. 6.

    Feltovich H, Carlson L. New techniques in evaluation of the cervix. Semin Perinatol. 2017;41:477–84.

    Article  Google Scholar 

  7. 7.

    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;46:489–501.

    Article  Google Scholar 

  8. 8.

    Hao J, Yao W, Harris WBR, Vink JY, Myers KM, Donnelly E. Characterization of the collagen microstructural organization of human cervical tissue. Reproduction. 2018;156:71–9.

    CAS  Article  Google Scholar 

  9. 9.

    Leppert PC. Anatomy and physiology of cervical ripening. Clin Obs Gynecol. 1995;38:264–79.

    Google Scholar 

  10. 10.

    Badir S, Mazza E, Zimmermann R, Bajka M. Cervical softening occurs early in pregnancy: characterization of cervical stiffness in 100 healthy women using the aspiration technique. Prenat Diagn. 2013;33:737–41.

    Article  Google Scholar 

  11. 11.

    Word RA, Li X-H, Hnat M, Carrick K. Dynamics of cervical remodeling during pregnancy and parturition mechanisms and current concepts. Semin Reprod Med. 2007;25:069–79.

    CAS  Article  Google Scholar 

  12. 12.

    Parra-Saavedra M, Gómez L, Barrero A, Parra G, Vergara F, Navarro E. Prediction of preterm birth using the cervical consistency index. Ultrasound Obstet Gynecol. 2011;38:44–51.

    CAS  Article  Google Scholar 

  13. 13.

    Parra-Saavedra M, Gómez LA, Barrero A, Parra G, Vergara F, Diaz-Yunez I, et al. Cervical consistency index: a new concept in Uterine Cervix evaluation. Donald Sch J Ultrasound Obstet Gynecol. 2011;5:411–5.

    Article  Google Scholar 

  14. 14.

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

    Article  Google Scholar 

  15. 15.

    Baños N, Murillo-Bravo C, Julià C, Migliorelli F, Perez-Moreno A, Ríos J, et al. Mid-trimester sonographic cervical consistency index to predict spontaneous preterm birth in a low-risk population. Ultrasound Obstet Gynecol. 2018;51:629–36.

    Article  Google Scholar 

  16. 16.

    Berghella V, Roman A, Daskalakis C. Gestational age at cervical length measurement and incidence of preterm birth. Obstet Gynecol. 2007;110:311–7.

    Article  Google Scholar 

  17. 17.

    Iams JD. Prevention of preterm parturition. Obstet Gynecol Surv. 2014;69:247–8.

    Article  Google Scholar 

  18. 18.

    Slattery MM, Morrison JJ. Preterm delivery. Lancet. 2002;360:1489–97.

  19. 19.

    Iams JD, Romero R, Culhane JF, Goldenberg RL. Primary, secondary, and tertiary interventions to reduce the morbidity and mortality of preterm birth. Lancet. 2008;371:164–75.

    Article  Google Scholar 

  20. 20.

    Simmons LE, Rubens CE, Darmstadt GL, Gravett MG. Preventing Preterm birth and neonatal mortality : exploring the epidemiology , causes , and interventions. YSPER. 2010;34:408–15.

    Google Scholar 

  21. 21.

    Surbek D, Drack G, Irion O, Nelle M, Huang D, Hoesli I. Antenatal corticosteroids for fetal lung maturation in threatened preterm delivery : indications and administration. Arch Gynecol Obs. 2012;286:277–81.

    CAS  Article  Google Scholar 

  22. 22.

    Bishop EH. Pelvic scoring for elective induction. Obstet Gynecol. 1964;24:266–8.

    CAS  PubMed  Google Scholar 

  23. 23.

    Swiatkowska-Freund M, Preis K. Cervical elastography during pregnancy: clinical perspectives. Int J Women's Health. 2017;9:245–54.

    Article  Google Scholar 

  24. 24.

    Chandra S, Crane JMG, Hutchens D, Young DC. Transvaginal ultrasound and digital examination in predicting successful labor induction. Am Coll Obstet Gynecol. 2001;98:2–6.

    CAS  Google Scholar 

  25. 25.

    Iams JD, Goldenberg RL, Meis PJ, Mercer BM, Moawad A, Das A, et al. The length of the cervix and the risk of spontaneous premature delivery. N Engl J Med. 1996;334:567–72.

    CAS  Article  Google Scholar 

  26. 26.

    Wang B, Zhang Y, Chen S, Xiang X, Wen J, Yi M, et al. Diagnostic accuracy of cervical elastography in predicting preterm delivery. Medicine (Baltimore). 2019;98:e16449.

    Article  Google Scholar 

  27. 27.

    Badir S, Bajka M, Mazza E. A novel procedure for the mechanical characterization of the uterine cervix during pregnancy. J Mech Behav Biomed Mater. 2012;27:143–53.

    Article  Google Scholar 

  28. 28.

    Badir S, Mazza E, Bajka M. Objective assessment of cervical stiffness after Administration of Misoprostol for intrauterine contraceptive insertion. Ultrasound Int Open. 2016;2:63–7.

    Article  Google Scholar 

  29. 29.

    Nielsen PV, Stigsby B, Nim J. Intra- and inter-observer variability in the assessment of intrapartum cardiotocograms. Acta Obstet Gynecol Scand. 1987;66:421–4.

    CAS  Article  Google Scholar 

  30. 30.

    Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971;76:378–82.

    Article  Google Scholar 

  31. 31.

    Altman DG. Practical statistics for medical research. New York: Chapman & Hall/CRC Press; 1999.

    Google Scholar 

  32. 32.

    Alexander S, Boulvain M, Ceysens G, Haelterman E, Zhang W. Repeat digital cervical assessment in pregnancy for identifying women at risk of preterm labour. Obstet Gynecol. 2010;116:766–7.

    Article  Google Scholar 

  33. 33.

    Mazza E, Parra-Saavedra M, Bajka M, Gratacos E, Nicolaides K, Deprest J. In vivo assessment of the biomechanical properties of the uterine cervix in pregnancy. Prenat Diagn. 2014;34:33–41.

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank all the participants who assessed the stiffness of the silicone cervices and Marlene Bissig for helping in conducting the study. They further thank Elsa Abreu and Nathan Cermak for reviewing the manuscript.

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 873553.

Funding was used for materials and devices used in the study.

Author information

Affiliations

Authors

Contributions

SB, LB and FD conceived, designed, wrote and interpreted the manuscript. SB and LB collected and analyzed the data. KQL, GH and IH analyzed and critically revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Sabrina Badir.

Ethics declarations

Ethics approval and consent to participate

Ethics approval for this study is deemed not necessary according to national legislations as the study is not considered a clinical trial nor a research involving human beings according to the Human Research Act 810.30 (HRA) of 30 September 2011 (status as of 1 January 2020) of the Federal Assembly of the Swiss Confederation. There was no medical or other intervention on the test subjects, nor was there gathering of any personal or health-related data, with the exception of basic non-identifiable information regarding the professional experience of the participants.

As ethics approval was not necessary, consent to participate in the study was only verbally obtained by the participants in the in vitro palpation test and in the Pregnolia System test. The verbal consent after the explanation of the research project and data collection was deemed sufficient prior to evaluation of the samples, and the response to the survey is considered as evidence of consent to participate.

Consent for publication

Not applicable.

Competing interests

SB and FD declare competing financial interests as founders of Pregnolia AG. LB declares competing financial interests as employee of Pregnolia AG. Pregnolia AG is the manufacturer of the Pregnolia System. The remaining authors declare no competing financial interests.

Additional information

Publisher’s Note

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

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

Verify currency and authenticity via CrossMark

Cite this article

Badir, S., Bernardi, L., Feijó Delgado, F. et al. Aspiration technique-based device is more reliable in cervical stiffness assessment than digital palpation. BMC Pregnancy Childbirth 20, 391 (2020). https://doi.org/10.1186/s12884-020-03080-x

Download citation

Keywords

  • Uterine cervical consistency
  • Uterine cervical stiffness
  • Cervical ripening
  • Digital palpation
  • Preterm birth