Startseite Cervical elastography strain ratio and strain pattern for the prediction of a successful induction of labour
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Cervical elastography strain ratio and strain pattern for the prediction of a successful induction of labour

  • Marlit Karen Strobel EMAIL logo , Maria Eveslage , Helen Ann Köster , Mareike Möllers , Janina Braun , Chiara de Santis , Kathrin Oelmeier , Walter Klockenbusch und Ralf Schmitz
Veröffentlicht/Copyright: 2. Oktober 2020

Abstract

Objectives

The aim of this study was to introduce cervical strain elastography to objectively assess the cervical tissue transformation process during induction of labour (IOL) and to evaluate the potential of cervical elastography as a predictor of successful IOL.

Methods

A total of 41 patients with full-term pregnancies elected for an IOL were included. Vaginal ultrasound with measurement of cervical length and elastography and assessment of the Bishop Score were performed before and 3 h after IOL. The measured parameters were correlated to the outcome of IOL and the time until delivery.

Results

We observed an association between the strain pattern and the value of the strain ratio 3 h after IOL and a successful IOL (p=0.0343 and p=0.0342, respectively) which can be well demonstrated by the results after 48 h. In our study population the cervical length and the Bishop Score did not prove to be relevant parameters for the prediction of a successful IOL.

Conclusions

We demonstrated for the first time that the cervical elastography pattern after the first prostaglandine application can help predict the outcome of IOL.


Corresponding author: Marlit Karen Strobel, Department of Gynecology and Obstetrics, University Hospital Münster, Albert-Schweitzer Campus 1A, 48149Münster, Germany, Phone: +49 251 8348261, E-mail:

Acknowledgments

We thank everyone who voluntarily dedicated their time and effort.

  1. Research funding: None declared.

  2. Author contributions: Authors declare responsibility for the entire content of the manuscript. MK Strobel performed the data collection, data management, data analysis and wrote the manuscript. M Eveslage performed the data analysis and edited the manuscript. HA Köster edited the manuscript. M Möllers helped with the data collection and edited the manuscript. J Braun helped with the data collection and edited the manuscript. C de Santis helped with the data collection and edited the manuscript. K Oelmeier helped with the data collection and edited the manuscript. W Klockenbusch edited the manuscript. R Schmitz designed the conceptualization, helped with the data collection and edited the manuscript.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The study design was approved by the Local Ethics Committee (2015-649-f-S).

References

1. Middleton, P, Shepherd, E, Crowther, CA. Induction of labour for improving birth outcomes for women at or beyond term. Cochrane Database Syst Rev 2018;294:1192. https://doi.org/10.1002/14651858.CD004945.pub4.Suche in Google Scholar PubMed PubMed Central

2. Witkop, CT, Neale, D, Wilson, LM, Bass, EB, Nicholson, WK. Active compared with expectant delivery management in women with gestational diabetes: a systematic review. Obstet Gynecol 2009;113:206–17. https://doi.org/10.1097/AOG.0b013e31818db36f.PubMed PMID: 19104376.Suche in Google Scholar PubMed

3. Londero, AP, Schmitz, R, Bertozzi, S, Driul, L, Fruscalzo, A. Diagnostic accuracy of cervical elastography in predicting labor induction success: a systematic review and meta-analysis. J Perinat Med 2016;44:286. https://doi.org/10.1515/jpm-2015-0035.Suche in Google Scholar PubMed

4. Ezebialu, IU, Eke, AC, Eleje, GU, Nwachukwu, CE. Methods for assessing pre-induction cervical ripening. Cochrane Database Syst Rev 2015;6:CD010762. https://doi.org/10.1002/14651858.CD010762.pub2.PubMed PMID: 26068943.Suche in Google Scholar PubMed PubMed Central

5. Kolkman, D, Verhoeven, C, Brinkhorst, S, van der Post, J, Pajkrt, E, Opmeer, B, et al. The Bishop score as a predictor of labor induction success: a systematic review. Am J Perinatol 2013;30:625–30. https://doi.org/10.1055/s-0032-1331024.Suche in Google Scholar PubMed

6. Crane, JMG, Hutchens, D. Transvaginal sonographic measurement of cervical length to predict preterm birth in asymptomatic women at increased risk: a systematic review. Ultrasound Obstet Gynecol 2008;31:579–87. https://doi.org/10.1002/uog.5323.Suche in Google Scholar PubMed

7. Conde-Agudelo, A, Romero, R. Predictive accuracy of changes in transvaginal sonographic cervical length over time for preterm birth: a systematic review and metaanalysis. Am J Obstet Gynecol 2015;213:789–801. https://doi.org/10.1016/j.ajog.2015.06.015.Suche in Google Scholar PubMed PubMed Central

8. Hatfield, AS, Sanchez-Ramos, L, Kaunitz, AM. Sonographic cervical assessment to predict the success of labor induction: a systematic review with metaanalysis. Am J Obstet Gynecol 2007;197:186–92. https://doi.org/10.1016/j.ajog.2007.04.050.Suche in Google Scholar PubMed

9. Verhoeven, CJM, Opmeer, BC, Oei, SG, Latour, V, van der Post, JAM, Mol, BWJ. Transvaginal sonographic assessment of cervical length and wedging for predicting outcome of labor induction at term: a systematic review and meta-analysis. Ultrasound Obstet Gynecol 2013;42:500–8. https://doi.org/10.1002/uog.12467.Suche in Google Scholar PubMed

10. Fruscalzo, A, Steinhard, J, Londero, AP, Fröhlich, C, Bijnens, B, Klockenbusch, W, et al. Reliability of quantitative elastography of the uterine cervix in at-term pregnancies. J Perinat Med 2013;41. https://doi.org/10.1515/jpm-2012-0180.Suche in Google Scholar PubMed

11. Oturina, V, Hammer, K, Möllers, M, Braun, J, Falkenberg, MK, de Murcia, KO, et al. Assessment of cervical elastography strain pattern and its association with preterm birth. J Perinat Med 2017;45:104. https://doi.org/10.1515/jpm-2016-0375.Suche in Google Scholar

12. Hernandez-Andrade, E, Romero, R, Korzeniewski, SJ, Ahn, H, Aurioles-Garibay, A, Garcia, M, et al. Cervical strain determined by ultrasound elastography and its association with spontaneous preterm delivery. J Perinat Med 2014;42. https://doi.org/10.1515/jpm-2013-0277.Suche in Google Scholar

13. Köbbing, K, Fruscalzo, A, Hammer, K, Möllers, M, Falkenberg, M, Kwiecien, R, et al. Quantitative Elastography of the uterine cervix as a predictor of preterm delivery. J Perinatol 2014;34:774–80. https://doi.org/10.1038/jp.2014.87.Suche in Google Scholar

14. Fruscalzo, A, Mazza, E, Feltovich, H, Schmitz, R. Cervical elastography during pregnancy: a critical review of current approaches with a focus on controversies and limitations. J Med Ultrason 2016;43:493–504. https://doi.org/10.1007/s10396-016-0723-z.Suche in Google Scholar

15. Swiatkowska-Freund, M, Preis, K. Elastography of the uterine cervix: implications for success of induction of labor. Ultrasound Obstet Gynecol 2011;38:52–6. https://doi.org/10.1002/uog.9021.Suche in Google Scholar

16. Fruscalzo, A, Londero, A, Fröhlich, C, Meyer-Wittkopf, M, Schmitz, R. Quantitative elastography of the cervix for predicting labor induction success. Ultraschall der Med 2015;36:65–73. https://doi.org/10.1055/s-0033-1355572.Suche in Google Scholar

17. Hwang, HS, Sohn, IS, Kwon, HS. Imaging analysis of cervical elastography for prediction of successful induction of labor at term. J Ultrasound Med 2013;32:937–46. https://doi.org/10.7863/ultra.32.6.937.Suche in Google Scholar

18. Fruscalzo, A, Londero, AP, Schmitz, R. Quantitative cervical elastography during pregnancy: influence of setting features on strain calculation. J Med Ultrason 2015;42:387–94. https://doi.org/10.1007/s10396-015-0619-3.Suche in Google Scholar

19. Papastefanou, I, Pilalis, A, Kappou, D, Souka, AP. Cervical length at 11-40 weeks: unconditional and conditional longitudinal reference ranges. Acta Obstet Gynecol Scand 2016;95:1376–82. https://doi.org/10.1111/aogs.13025.Suche in Google Scholar

20. R: The R Project for Statistical Computinghttps://www.r-project.org/ 4 Sep 2020.cited Available from:.Suche in Google Scholar

21. Hothorn, T, Lausen, B. On the exact distribution of maximally selected rank statistics. Comput Stat Data Anal 2003;43:121–37. https://doi.org/10.1016/S0167-9473(02)00225-6.Suche in Google Scholar

22. Muscatello, A, Di Nicola, M, Accurti, V, Mastrocola, N, Franchi, V, Colagrande, I, et al. Sonoelastography as method for preliminary evaluation of uterine cervix to predict success of induction of labor. Fetal Diagn Ther 2014;35:57–61. https://doi.org/10.1159/000355084.PubMed PMID: 24247111.Suche in Google Scholar PubMed

23. Hee, L, Rasmussen, CK, Schlütter, JM, Sandager, P, Uldbjerg, N. Quantitative sonoelastography of the uterine cervix prior to induction of labor as a predictor of cervical dilation time. Acta Obstet Gynecol Scand 2014;93:684–90. https://doi.org/10.1111/aogs.12389.Suche in Google Scholar PubMed

24. Pereira, S, Frick, AP, Poon, LC, Zamprakou, A, Nicolaides, KH. Successful induction of labor: prediction by preinduction cervical length, angle of progression and cervical elastography. Ultrasound Obstet Gynecol 2014;44:468–75. https://doi.org/10.1002/uog.13411.Suche in Google Scholar PubMed

25. Sonnier, L, Bouhanna, P, Arnou, C, Rozenberg, P. Élastographie du col utérin : prédiction du délai d’accouchement lors d’un déclenchement par prostaglandins. Gynecol Obstet Fertil 2014;42:827–31. https://doi.org/10.1016/j.gyobfe.2014.10.005.Suche in Google Scholar PubMed

26. Hamza, A, Radosa, J, Gerlinger, C, Solomayer, EF, Ströder, R, Meyberg-Solomayer, G. Die Wertigkeit von Ultraschall- und Elastografieparametern der Zervix und des unteren Uterus bei der Prädiktion einer erfolgreichen Geburtseinleitung. Ultraschall der Med 2020. https://doi.org/10.1055/a-1131-7736.PubMed PMID: 32198732.Suche in Google Scholar PubMed

27. Carlson, LC, Romero, ST, Palmeri, ML, Muñoz del Rio, A, Esplin, SM, Rotemberg, VM, et al. Changes in shear wave speed pre- and post-induction of labor: a feasibility study. Ultrasound Obstet Gynecol 2015;46:93–8. https://doi.org/10.1002/uog.14663.Suche in Google Scholar PubMed PubMed Central

28. 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;25:69–79. https://doi.org/10.1055/s-2006-956777.PubMed PMID: 17205425.Suche in Google Scholar PubMed

29. Yellon, SM. Contributions to the dynamics of cervix remodeling prior to term and preterm birth†. Biol Reprod 2017;96:13–23. https://doi.org/10.1095/biolreprod.116.142844.Suche in Google Scholar PubMed PubMed Central

30. Gonzalez, JM, Romero, R, Girardi, G. Comparison of the mechanisms responsible for cervical remodeling in preterm and term labor. Am J Reprod Immunol 2013;97:112–9. https://doi.org/10.1016/j.jri.2012.07.008.Suche in Google Scholar PubMed PubMed Central


Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/jpm-2020-0189).


Received: 2020-04-27
Accepted: 2020-08-27
Published Online: 2020-10-02
Published in Print: 2021-02-23

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Review
  3. Methods of detection and prevention of preterm labour and the PAMG-1 detection test: a review
  4. Corner of Academy
  5. Long term alterations of growth after antenatal steroids in preterm twin pregnancies
  6. Original Articles – Obstetrics
  7. SARS-CoV-2 in pregnancy: maternal and perinatal outcome data of 34 pregnant women hospitalised between May and October 2020
  8. Comparison of hematological parameters and perinatal outcomes between COVID-19 pregnancies and healthy pregnancy cohort
  9. The effect of mask use on maternal oxygen saturation in term pregnancies during the COVID-19 process
  10. Risk factors for pregnancy-associated venous thromboembolism in Singapore
  11. Does the length of second stage of labour or second stage caesarean section in nulliparous women increase the risk of preterm birth in subsequent pregnancies?
  12. Reference range for C1-esterase inhibitor (C1 INH) in the third trimester of pregnancy
  13. Termination of pregnancy following a Down Syndrome diagnosis: decision-making process and influential factors in a Muslim but secular country, Turkey
  14. High dose vs. low dose oxytocin for labor augmentation: a systematic review and meta-analysis of randomized controlled trials
  15. Extremely high levels of alkaline phosphatase and pregnancy outcome: case series and review of the literature
  16. Cervical elastography strain ratio and strain pattern for the prediction of a successful induction of labour
  17. Original Articles – Fetus
  18. CD34 immunostain increases sensitivity of the diagnosis of fetal vascular malperfusion in placentas from ex-utero intrapartum treatment
  19. The ability of various cerebroplacental ratio thresholds to predict adverse neonatal outcomes in term fetuses exhibiting late-onset fetal growth restriction
  20. Obstetric and pediatric growth charts for the detection of late-onset fetal growth restriction and neonatal adverse outcomes
  21. Original Articles – Neonates
  22. Bacterial stability with freezer storage of human milk
  23. Protein and genetic expression of CDKN1C and IGF2 and clinical features related to human umbilical cord length
  24. Short Communication
  25. A considerable asymptomatic proportion and thromboembolism risk of pregnant women with COVID-19 infection in Wuhan, China
Heruntergeladen am 27.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jpm-2020-0189/html
Button zum nach oben scrollen