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Two-dimensional ultrasound results in underestimation of the ovarian follicle size compared to automated three-dimensional imaging in women undergoing IVF

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Abstract

Background

Traditionally, for the assessment of follicle growth during IVF, two-dimensional (2D) transvaginal ultrasound (US) is used. In the past few years three-dimensional (3D) US has also been introduced.

Objectives

To compare follicular sizes between 2 and 3D ultrasound imaging on the final day of controlled ovarian stimulation.

Methods

A prospective observational cohort study including 121 women undergoing controlled ovarian stimulation (COS) between January 2017 and July 2018. All women were assessed by transvaginal 2D and 3D ultrasonography to measure ovarian follicle dimensions on the final day of COS.

Results

The mean difference in paired comparisons between the 3D and 2D US measurements in 25 women with monofollicular development was + 1.6 ± 2.5 mm for the x-dimension and + 1.7 ± 2.4 mm for the y-dimension; and in the total number of 1197 paired measurements of follicles the mean difference + 2.1 ± 3.3 mm and + 1.8 ± 3.9 mm for the x- and y-dimension respectively. In all cases the paired t-test showed that differences were statistically significant (p < 0.01). Further it was conjectured that the 2D underestimation results from the inherent difficulty to precisely place the US probe simultaneously on the perpendicular maximal of the x and y follicle diameters, leading to measurement errors that, by theory, are normally distributed. Running Monte-Carlo simulations based on these measurement errors it was found that both the mean difference and standard deviation are of the same magnitude as the ones found in real measurements, thus proving the conjecture.

Conclusions

The utilisation of 3D US results in different measurements of the follicular dimensions, and volumes, when compared to conventional 2D US. The differences in the x- and y-dimensions may affect the outcome of an IVF cycle as they are used to define the day of triggering final oocyte maturation, which is associated with the yield of mature oocytes and the probability of live birth.

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Data availability

All data are available upon request from the corresponding author.

References

  1. Ectors FJ, Vanderzwalmen P, Van Hoeck J, Nijs M, Verhaegen G, Delvigne A, Schoysman R, Leroy F (1997) Relationship of human follicular diameter with oocyte fertilization and development after in-vitro fertilization or intracytoplasmic sperm injection. Hum Reprod 12:2002–2005. https://doi.org/10.1093/humrep/12.9.2002

    Article  CAS  PubMed  Google Scholar 

  2. Wittmaack FM, Kreger DO, Blasco L, Tureck RW, Mastroianni L, Lessey BA (1994) Effect of follicular size on oocyte retrieval, fertilization, cleavage, and embryo quality in in vitro fertilization cycles: a 6-year data collection. Fertil Steril 62:1205–1210. https://doi.org/10.1016/s0015-0282(16)57186-6

    Article  CAS  PubMed  Google Scholar 

  3. Dubey AK, An Wang H, Duffy P, Penzias AS (1995) The correlation between follicular measurements, oocyte morphology, and fertilization rates in an in vitro fertilization program. Fertil Steril 64:787–790. https://doi.org/10.1016/S0015-0282(16)57855-8

    Article  CAS  PubMed  Google Scholar 

  4. Abbara A, Clarke SA, Dhillo WS (2018) Novel concepts for inducing final oocyte maturation in in vitro fertilization treatment. Book Novel concepts for inducing final oocyte maturation in in vitro fertilization treatment. Oxford University Press, Oxford, pp 593–628

    Google Scholar 

  5. Hu X, Luo Y, Huang K, Li Y, Xu Y, Zhou C, Mai Q (2016) New perspectives on criteria for the determination of HCG trigger timing in GnRH antagonist cycles. Medicine. https://doi.org/10.1097/MD.0000000000003691

    Article  PubMed  PubMed Central  Google Scholar 

  6. Meniru GI, Craft IL (1997) Utilization of retrieved oocytes as an index of the efficiency of superovulation strategies for in-vitro fertilization treatment. Hum Reprod 12:2129–2132. https://doi.org/10.1093/humrep/12.10.2129

    Article  CAS  PubMed  Google Scholar 

  7. Sunkara SK, Rittenberg V, Raine-Fenning N, Bhattacharya S, Zamora J, Coomarasamy A (2011) Association between the number of eggs and live birth in IVF treatment: an analysis of 400 135 treatment cycles. Hum Reprod 26:1768–1774. https://doi.org/10.1093/humrep/der106

    Article  PubMed  Google Scholar 

  8. Baker VL, Brown MB, Luke B, Conrad KP (2015) Association of number of retrieved oocytes with live birth rate and birth weight: an analysis of 231,815 cycles of in vitro fertilization. Fertil Steril 103:931-938.e932. https://doi.org/10.1016/j.fertnstert.2014.12.120

    Article  PubMed  PubMed Central  Google Scholar 

  9. Singh N, Usha BR, Malik N, Malhotra N, Pant S, Vanamail P (2015) Three-dimensional sonography-based automated volume calculation (SonoAVC) versus two-dimensional manual follicular tracking in in vitro fertilization. Int J Gynaecol Obstet 131:166–169. https://doi.org/10.1016/j.ijgo.2015.04.045

    Article  PubMed  Google Scholar 

  10. Raine-Fenning N, Jayaprakasan K, Clewes J (2007) Automated follicle tracking facilitates standardization and may improve work flow. Ultrasound Obstet Gynecol 30:1015–1018. https://doi.org/10.1002/uog.5222

    Article  CAS  PubMed  Google Scholar 

  11. Raine-Fenning N, Jayaprakasan K, Clewes J, Joergner I, Bonaki SD, Chamberlain S, Devlin L, Priddle H, Johnson I (2008) SonoAVC: a novel method of automatic volume calculation. Ultrasound Obstet Gynecol 31:691–696. https://doi.org/10.1002/uog.5359

    Article  CAS  PubMed  Google Scholar 

  12. Raine-Fenning N, Jayaprakasan K, Deb S, Clewes J, Joergner I, DehghaniBonaki S, Johnson I (2009) Automated follicle tracking improves measurement reliability in patients undergoing ovarian stimulation. Reprod Biomed 18:658–663

    Article  CAS  Google Scholar 

  13. Benacerraf BR, Benson CB, Abuhamad AZ, Copel JA, Abramowicz JS, Devore GR, Doubilet PM, Lee W, Lev-Toaff AS, Merz E, Nelson TR, O’Neill MJ, Parsons AK, Platt LD, Pretorius DH, Timor-Tritsch IE (2005) Three- and 4-dimensional ultrasound in obstetrics and gynecology: proceedings of the American Institute of Ultrasound in Medicine Consensus Conference. J Ultrasound Med 24:1587–1597. https://doi.org/10.7863/jum.2005.24.12.1587

    Article  PubMed  Google Scholar 

  14. Jayaprakasan K, Walker KF, Clewes JS, Johnson IR, Raine-Fenning NJ (2007) The interobserver reliability of off-line antral follicle counts made from stored three-dimensional ultrasound data: a comparative study of different measurement techniques. Ultrasound Obstet Gynecol 29:335–341. https://doi.org/10.1002/uog.3913

    Article  CAS  PubMed  Google Scholar 

  15. Lainas TG, Sfontouris IA, Zorzovilis IZ, Petsas GK, Lainas GT, Alexopoulou E, Kolibianakis EM (2010) Flexible GnRH antagonist protocol versus GnRH agonist long protocol in patients with polycystic ovary syndrome treated for IVF: a prospective randomised controlled trial (RCT). Hum Reprod 25:683–689. https://doi.org/10.1093/humrep/dep436

    Article  CAS  PubMed  Google Scholar 

  16. Lainas TG, Sfontouris IA, Venetis CA, Lainas GT, Zorzovilis IZ, Tarlatzis BC, Kolibianakis EM (2015) Live birth rates after modified natural cycle compared with high-dose FSH stimulation using GnRH antagonists in poor responders. Hum Reprod 30:2321–2330. https://doi.org/10.1093/humrep/dev198

    Article  CAS  PubMed  Google Scholar 

  17. Forman RG, Robinson J, Yudkin P, Egan D, Reynolds K, Barlow DH (1991) What is the true follicular diameter: an assessment of the reproducibility of transvaginal ultrasound monitoring in stimulated cycles. Fertil Steril 56:989–992. https://doi.org/10.1016/s0015-0282(16)54678-0

    Article  CAS  PubMed  Google Scholar 

  18. Nylander M, Frøssing S, Bjerre AH, Chabanova E, Clausen HV, Faber J, Skouby SO (2016) Ovarian morphology in polycystic ovary syndrome: estimates from 2D and 3D ultrasound and magnetic resonance imaging and their correlation to anti-Müllerian hormone. Acta Radiol 58:997–1004. https://doi.org/10.1177/0284185116676656

    Article  PubMed  Google Scholar 

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Funding

Co‐financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE—INNOVATE (project code: Τ2EDK-01429).

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Correspondence to Miltiades A. Kyprianou.

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Kyprianou, M.A., Dakou, K., Lainas, G.T. et al. Two-dimensional ultrasound results in underestimation of the ovarian follicle size compared to automated three-dimensional imaging in women undergoing IVF. J Ultrasound (2023). https://doi.org/10.1007/s40477-023-00797-1

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