Advertisement

Archives of Gynecology and Obstetrics

, Volume 300, Issue 6, pp 1729–1739 | Cite as

Identification and characterization of uterine micro-peristalsis in women undergoing in vitro fertilization and embryo transfer via dynamic ultrasound features

  • Yunfei Long
  • Rong Liang
  • Jiabin Zhang
  • Fang Fang
  • Cheng Cheng
  • Qun LuEmail author
  • Jue ZhangEmail author
Gynecologic Endocrinology and Reproductive Medicine
  • 36 Downloads

Abstract

Purpose

This study aimed to identify the existence of uterine micro-peristalsis (UMP) by dynamic ultrasound features and evaluate the feasibility of UMP as a tool to distinguish pregnant and non-pregnant infertility patients undergoing in vitro fertilization–embryo transfer (IVF–ET), using clinical pregnancy results as a benchmark.

Methods

Fifty-one women, including 29 pregnant and 22 non-pregnant patients were recruited. Also, ultrasound videos were collected before embryo transfer. First of all, undiscoverable uterine micro-peristalsis was magnified by video magnification. Then, the dynamic features of UMP were characterized by a novel index termed histogram entropy based on the micro-peristalsis feature selection by entropy weight (HEMEW), which was generated by combining frame difference and volume local phase quantization. Finally, a comparative experiment of HEMEW between non-pregnant and pregnant patients, logistic regression analysis for HEMEW and other independent clinical characteristics, and receiver operating characteristic (ROC) analysis were performed.

Results

The magnified uterine video clearly exhibited UMP, which was invisible in the original ultrasound video. Further, there existed a significant difference in HEMEW between pregnant patients and non-pregnant patients after micro-motion magnification (p = 0.003, n = 51). The logistic regression result showed that HEMEW (p = 0.006) was significantly associated with clinical pregnancy outcome, while other independent variables had no significant effect on it. The ROC performance of HEMEW was 72.6% accuracy (AUC = 0.774, 95% CI: 0.644–0.905).

Conclusions

The proposed micro-motion magnification and characterization strategy identified the existences of uterine micro-peristalsis, and verified that UMP has the feasibility to distinguish the outcomes of IVF–ET.

Keywords

Uterus Infertility In vitro fertilization and embryo transfer Uterine peristalsis Dynamic feature 

Notes

Acknowledgements

The authors acknowledge Beijing Municipal Science & Technology Commission for providing grants (No. Z181100001718132) from the Capital Clinical Medical Application and Development Funds.

Author contribution

YFL: project development, data management, data analysis, manuscript writing and editing, literature research. RL: project development, data collection, data analysis, manuscript writing, literature research. JBZ: project development, data management, data analysis, manuscript writing, literature research. FF: project development, data collection, data management, literature research. CC: project development, data collection, data management. QL: project development, data collection, data management, data analysis, manuscript writing, literature research. JZ: project development, data management, data analysis, manuscript writing, literature research. All authors read and approved the final manuscript.

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Research involving human participants

This study was approved by the Ethics Committee of Peking University People’s Hospital (approval number: 2018PHB150-01). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

404_2019_5327_MOESM1_ESM.avi (36.1 mb)
Supplementary file1 (AVI 36936 kb)
404_2019_5327_MOESM2_ESM.avi (36.1 mb)
Supplementary file2 (AVI 36936 kb)

References

  1. 1.
    Kashir J et al (2010) Oocyte activation, phospholipase C zeta and human infertility. Hum Reprod Update 16(6):690–703CrossRefGoogle Scholar
  2. 2.
    Guh R-S, Wu T-CJ, Weng S-P (2011) Integrating genetic algorithm and decision tree learning for assistance in predicting in vitro fertilization outcomes. Expert Syst Appl 38(4):4437–4449CrossRefGoogle Scholar
  3. 3.
    Daido S et al (2013) Anticholinergic agents result in weaker and shorter suppression of uterine contractility compared with intestinal motion: time course observation with cine MRI. J Magn Reson Imaging 38(5):1196–1202CrossRefGoogle Scholar
  4. 4.
    Leonhardt H et al (2012) Uterine morphology and peristalsis in women with polycystic ovary syndrome. Acta Radiol 53(10):1195–1201CrossRefGoogle Scholar
  5. 5.
    Van Gestel I et al (2003) Endometrial wave-like activity in the non-pregnant uterus. Hum Reprod Update 9(2):131–138CrossRefGoogle Scholar
  6. 6.
    Ledee-Bataille N et al (2002) Concentration of leukaemia inhibitory factor (LIF) in uterine flushing fluid is highly predictive of embryo implantation. Hum Reprod 17(1):213–218CrossRefGoogle Scholar
  7. 7.
    Gonen Y et al (1989) Endometrial thickness and growth during ovarian stimulation: a possible predictor of implantation in in vitro fertilization. Fertil Steril 52(3):446–450CrossRefGoogle Scholar
  8. 8.
    Noyes N et al (1995) Implantation: endometrial thickness appears to be a significant factor in embryo implantation in in-vitro fertilization. Hum Reprod 10(4):919–922CrossRefGoogle Scholar
  9. 9.
    Gonen Y, Casper RF (1990) Prediction of implantation by the sonographic appearance of the endometrium during controlled ovarian stimulation for in vitro fertilization (IVF). J In Vitro Fertil Embryo Transf 7(3):146–152CrossRefGoogle Scholar
  10. 10.
    Chien L-W et al (2002) Assessment of uterine receptivity by the endometrial-subendometrial blood flow distribution pattern in women undergoing in vitro fertilization-embryo transfer. Fertil Steril 78(2):245–251CrossRefGoogle Scholar
  11. 11.
    Wang L et al (2010) Role of endometrial blood flow assessment with color Doppler energy in predicting pregnancy outcome of IVF-ET cycles. Reprod Biol Endocrinol 8(1):122CrossRefGoogle Scholar
  12. 12.
    Sardana D et al (2014) Correlation of subendometrial-endometrial blood flow assessment by two-dimensional power Doppler with pregnancy outcome in frozen-thawed embryo transfer cycles. J Hum Reprod Sci 7(2):130CrossRefGoogle Scholar
  13. 13.
    Kunz G, Leyendecker G (2002) Uterine peristaltic activity during the menstrual cycle: characterization, regulation, function and dysfunction. Reprod Biomed Online 4:5–9CrossRefGoogle Scholar
  14. 14.
    Orisaka M et al (2007) A comparison of uterine peristalsis in women with normal uteri and uterine leiomyoma by cine magnetic resonance imaging. Eur J Obstet Gynecol Reprod Biol 135(1):111–115CrossRefGoogle Scholar
  15. 15.
    Zhu L et al (2014) Uterine peristalsis before embryo transfer affects the chance of clinical pregnancy in fresh and frozen-thawed embryo transfer cycles. Hum Reprod 29(6):1238–1243CrossRefGoogle Scholar
  16. 16.
    Wadhwa N et al (2013) Phase-based video motion processing. ACM Trans Gr (TOG) 32(4):80Google Scholar
  17. 17.
    Kuijsters NPM et al (2017) Uterine peristalsis and fertility: current knowledge and future perspectives: a review and meta-analysis. Reprod Bio Med 35(1):50–71CrossRefGoogle Scholar
  18. 18.
    Ojansivu V, Heikkilä J (2008) Blur insensitive texture classification using local phase quantization. In: International conference on image and signal processing. SpringerGoogle Scholar
  19. 19.
    Tzeng G-H, Huang J-J (2011) Multiple attribute decision making: methods and applications. Chapman and Hall/CRC, CambridgeCrossRefGoogle Scholar
  20. 20.
    Yoshino O et al (2010) Decreased pregnancy rate is linked to abnormal uterine peristalsis caused by intramural fibroids. Hum Reprod 25(10):2475–2479CrossRefGoogle Scholar
  21. 21.
    Yoshino O et al (2012) Myomectomy decreases abnormal uterine peristalsis and increases pregnancy rate. J Minim Invasive Gynecol 19(1):63–67CrossRefGoogle Scholar
  22. 22.
    Johnson S (2002) Emergence: the connected lives of ants, brains, cities, and software. Simon and Schuster, New YorkGoogle Scholar
  23. 23.
    Dhall A et al (2011) Emotion recognition using PHOG and LPQ features. In: 2011 IEEE international conference on automatic face & gesture recognition and workshops (FG 2011). 2011. IEEEGoogle Scholar
  24. 24.
    Wu H-Y et al (2012) Eulerian video magnification for revealing subtle changes in the worldCrossRefGoogle Scholar
  25. 25.
    Celiesiute J et al (2017) Transvaginal ultrasound-noninvasive method for the prediction of response to concurrent chemoradiotherapy in cases of cervical cancer. J Vibroeng 19(3):2180–2187CrossRefGoogle Scholar
  26. 26.
    Kunz G et al (1998) Uterine peristalsis during the follicular phase of the menstrual cycle: effects of oestrogen, antioestrogen and oxytocin. Hum Reprod Update 4(5):647–654CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of EngineeringPeking UniversityBeijingPeople’s Republic of China
  2. 2.Center of Reproductive MedicinePeking University People’s HospitalBeijingPeople’s Republic of China
  3. 3.Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingPeople’s Republic of China

Personalised recommendations