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Ultrasound and Ovarian Reserve

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Ultrasound Imaging in Reproductive Medicine

Abstract

Ultrasound has become the most widely used and important tool in the diagnosis and treatment of infertility and IVF. Measuring the antral follicle count (AFC) is one of the best predictors for estimating ovarian reserve. This initial ultrasound exam will immediately affect the management of the patient and help predict the ovarian response to gonadotropins. Doppler modalities of ultrasound allow the identification of the direction and magnitude of blood flow, and changes in velocity and blood flow can be seen in dominant and mature follicles post ovarian stimulation. Three-dimensional (3D) transvaginal ultrasound (TVUS) techniques allow the identification and quantification of hypoechoic regions within a three-dimensional ultrasound (3D) data set and provide a precise estimation of their absolute dimensions, mean diameters, and volumes using the SonoAVC technology. This chapter will focus on how ultrasound is used to maximize ART outcome by assessing ovarian reserve.

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References

  1. Fleming R, Seifer D, Frattarelli JR, Ruman J. Assessing ovarian response: antral follicle count versus anti-Müllerian hormone. Reprod Biomed Online. 2015;31:486–96.

    Article  CAS  PubMed  Google Scholar 

  2. Nelson SM. Biomarkers of ovarian response: current and future applications. Fertil Steril. 2013;99:963–9.

    Article  CAS  PubMed  Google Scholar 

  3. Faddy MJ, Gosden RG, Gougeon A, Richardson SJ, Nelson JF. Accelerated disappearance of ovarian follicles in mid-life: implications for forecasting menopause. Hum Reprod. 1992;7:1342–6.

    Article  CAS  PubMed  Google Scholar 

  4. Robertson DM, Lee CH, Baerwald A. Interrelationships among reproductive hormones and antral follicle count in human menstrual cycles. Endocr Connect. 2016;6:98–107.

    Article  Google Scholar 

  5. La Marca A, Argento C, Sighinolfi G, Grisendi V, Carbone M, D’Ippolito G, et al. Possibilities and limits of ovarian reserve testing in ART. Curr Pharm Biotechnol. 2012;13:398–408.

    Article  PubMed  Google Scholar 

  6. Hendriks DI, Mol BW, Bancsi LF, Te Velde ER, Broekmans FI. Antral follicle count in the prediction of poor ovarian reserve and IVF outcome after in vitro fertilization: a meta-analysis and comparison with basal FSH level. Fertil Steril. 2005;83:291–310.

    Article  PubMed  Google Scholar 

  7. Broekmans FJ, de Ziegler D, Howles CM, Gougeon A, Trew G, Olivennes F. The antral follicle count: practical recommendations for better standardization. Fertil Steril. 2010;94:1044–51.

    Article  PubMed  Google Scholar 

  8. Muttukrishna S, McGarrigle H, Wakim R, Khadum I, Ranieri DM, Sethal P. Antral follicle count, antimullerian hormone and inhibin B: predictors of ovarian response in assisted reproductive technology? BJOG. 2005;112:1384–90.

    Article  CAS  PubMed  Google Scholar 

  9. Johnson NP, Bagrie EM, Coomarasamy A, Bhattacharya S, Shelling AN, Jessop S, et al. Ovarian reserve tests for predicting fertility outcomes for assisted reproductive technology: the International Systematic Collaboration of Ovarian Reserve Evaluation protocol for a systematic review of ovarian reserve test accuracy. BJOG. 2006;113:1472–80.

    Article  CAS  PubMed  Google Scholar 

  10. Jayaprakasan K, Deb S, Batcha M, Hopkisson J, Johnson I, Campbell B, et al. The cohort of antral follicles measuring 2-6 mm reflects the quantitative status of ovarian reserve as assessed by serum levels of anti-Mullerian hormone and response to controlled ovarian stimulation. Fertil Steril. 2010;94:1775–81.

    Article  CAS  PubMed  Google Scholar 

  11. Jayaprakasan K, Chan Y, Islam R, Haoula Z, Hopkisson J, Coomarasamy A, et al. Prediction of in vitro fertilization outcome at different antral follicle count thresholds in a prospective cohort of 1,012 women. Fertil Steril. 2012;98:657–63.

    Article  PubMed  Google Scholar 

  12. Deb S, Campbell BK, Clewes JS, Pincott-Allen C, Raine-Fenning NJ. Intracycle variation in number of antral follicles stratified by size and in endocrine markers of ovarian reserve in women with normal ovulatory menstrual cycles. Ultrasound Obstet Gynecol. 2013;41:216–22.

    Article  CAS  PubMed  Google Scholar 

  13. Fratterelli JL, Lauria-Costab DF, Miller BT, Bergh PA, Scott RT. Basal antral follicle number and mean ovarian diameter predict cycle cancellation and ovarian responsiveness in assisted reproductive technology cycles. Fertil Steril. 2000;7:512–7.

    Article  Google Scholar 

  14. Danninger B, Brunner M, Obruca A, Feichtinger W. Prediction of ovarian hyperstimulation syndrome by ultrasound volumetric assessment [corrected] of baseline ovarian volume prior to stimulation. Hum Reprod. 1996;11:1597–9.

    Article  CAS  PubMed  Google Scholar 

  15. Akbariasbagh F, Lorzadeh N, Azmoodeh A, Ghaseminejad A, Mohamadpoor J, Kazemirad S. Association among diameter and volume of follicles, oocyte maturity, and competence in intracytoplasmic sperm injection cycles. Minerva Ginecol. 2015;87(5):397–403.

    Google Scholar 

  16. Jayaprakasan K, Hilwah N, Kendall NR, Hopkisson JF, Campbell BK, Johnson IR, et al. Does 3D ultrasound offer any advantage in the pretreatment assessment of ovarian reserve and prediction of outcome after assisted reproduction treatment? Hum Reprod. 2007;22:1932–41.

    Article  CAS  PubMed  Google Scholar 

  17. Hsu A, Arny M, Knee AB, Bell C, Cook E, Novak AL, et al. Antral follicle count in clinical practice: analyzing clinical relevance. Fertil Steril. 2011;95:474–9.

    Article  PubMed  Google Scholar 

  18. van der Stege JG, van der Linden PJ. Useful predictors of ovarian stimulation response in women undergoing in vitro fertilization. Gynecol Obstet Investig. 2001;52:43–6.

    Article  Google Scholar 

  19. Karande VC. Managing and predicting low response to standard in vitro fertilization therapy: a review of the options. Treat Endocrinol. 2003;2:257–72.

    Article  PubMed  Google Scholar 

  20. Broekmans FJ, Knauff EA, te Velde ER, Macklon NS, Fausser BC. Female reproductive ageing: current knowledge and future trends. Trends Endocrinol Metab. 2007;18:58–65.

    Article  CAS  PubMed  Google Scholar 

  21. Broer SL, Mol BWJ, Hendriks D, Broekmans FJM. The role of antimullerian hormone in prediction of outcome after IVF: comparison with the antral follicle count. Fertil Steril. 2009;91:705–14.

    Article  CAS  PubMed  Google Scholar 

  22. Riggs RM, Duran EH, Baker MW, Kimble TD, Hobeika E, Yin L, et al. Assessment of ovarian reserve with antimullerian hormone: a comparison of the predictive value of antimullerian hormone, follicle-stimulating hormone, inhibin B and age. Am J Obstet Gynecol. 2008;199:202e1–8.

    Article  Google Scholar 

  23. Hansen KR, Hodnett GM, Knowlton N, Craig LB. Correlation of ovarian reserve tests with histologically determined primordial follicle number. Fertil Steril. 2011;95:855–64.

    Article  Google Scholar 

  24. Iliodromiti S, Kelsey TW, Wu O, Anderson RA, Nelson SM. The predictive accuracy of anti-Mullerian hormone for live birth after assisted conception: a systematic review and meta-analysis of the literature. Hum Reprod Update. 2015;20:560–57.

    Article  Google Scholar 

  25. Brodin T, Hadziosmanovic N, Berglund L, Oloysson M, Holte J. Comparing four ovarian reserve markers-associations with ovarian response and live births after assisted reproduction. Acta Obstet Gynecol Scand. 2015 Oct;94(10):1056–63. https://doi.org/10.1111/aogs.12710.

    Article  CAS  PubMed  Google Scholar 

  26. Kedem A, Haas J, Geva LL, Yerushalmi G, Gilboa Y, Kanety H, et al. Ongoing pregnancy rates in women with low and extremely low AMH levels. A multivariate analysis of 769 cycles. PLoS One. 2013;8:e81629.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Reichman DE, Goldschlag D, Rosenwaks Z. Value of antimullerian hormone as a prognostic indicator of in vitro fertilization outcome. Fertil Steril. 2014;101:1012–8.

    Article  CAS  PubMed  Google Scholar 

  28. Jayaprakasan K, Al-Hasie H, Jayaprakasan R, Campbell B, Hopkisson J, Johnson I, et al. The three-dimensional ultrasonographic ovarian vascularity of women developing poor ovarian response during assisted reproduction treatment and its predictive value. Fertil Steril. 2009 Dec;92(6):1862–9.

    Article  PubMed  Google Scholar 

  29. ASRM Practice Guidelines. Testing and interpreting measures of ovarian reserve: a committee opinion. Fertil Steril. 2015;103(3):e9–e17.

    Article  Google Scholar 

  30. Lass A, Brinsden P. The role of ovarian volume in reproductive medicine. Hum Reprod Update. 1999;5:256–66.

    Article  CAS  PubMed  Google Scholar 

  31. McDougall MJ, Tan SL, Jacobs HS. IVF and the ovarian hyperstimulation syndrome. Hum Reprod. 1992;5:597–600.

    Article  Google Scholar 

  32. Ata B, Tulandi T. Ultrasound automated volume calculation in reproduction and in pregnancy. Fertil Steril. 2011;95:2163–70.

    Article  PubMed  Google Scholar 

  33. Raine-Fenning N, Jayaprakasan K, Clewes J, Joergner I, Bonaki SD, Chamberlain S, et al. SonoAVC: a novel method of automatic volume calculation. Ultrasound Obstet Gynecol. 2008;31:691–6.

    Article  CAS  PubMed  Google Scholar 

  34. Rodriguez-Fuentes A, Hernandez J, Garcia-Guzman R, Chinea E, Iaconianni L, Palumbo A. Prospective evaluation of automated follicle monitoring in 58 in vitro fertilization cycles: follicular volume as a new indicator of oocyte maturity. Fertil Steril. 2010;93:616–20.

    Article  PubMed  Google Scholar 

  35. Wertheimer A, Nagar R, Oron G, Meizner I, Fisch B, Ben-Haroush A. Fertility treatment outcomes after follicle tracking with standard 2-dimensional sonography versus 3-dimensional sonography-based automated volume count: prospective study. J Ultrasound Med. 2017; https://doi.org/10.1002/jum.14421.

    Article  PubMed  Google Scholar 

  36. Hernández J, Rodríguez-Fuentes A, Puopolo M, Palumbo A. Follicular Volume Predicts Oocyte Maturity: A Prospective Cohort Study Using Three-Dimensional Ultrasound and SonoAVC. Reprod Sci. 2016;23(12):1639–43.

    Article  PubMed  Google Scholar 

  37. Jadaon JE, Ben-Ami M, Haddad S, Radin O, Bar-Ami S, Younis JS. Prospective evaluation of early follicular ovarian stromal blood flow in infertile women undergoing IVF-ET treatment. Gynecol Endocrinol. 2012;28(5):356–9. https://doi.org/10.3109/09513590.2011.633659.

    Article  CAS  PubMed  Google Scholar 

  38. Vural F, Vural B, Doger E, Çakıroğlu Y, Çekmen M. Perifollicular blood flow and its relationship with endometrial vascularity, follicular fluid EG-VEGF, IGF-1, and inhibin-a levels and IVF outcomes. J Assist Reprod Genet. 2016;33:1355–62.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Chui DK, Pugh ND, Walker SM, Gregory L, Shaw RW. Follicular vascularity--the predictive value of transvaginal power Doppler ultrasonography in an in-vitro fertilization programme: a preliminary study. Hum Reprod. 1997;12:191–6.

    Article  CAS  PubMed  Google Scholar 

  40. Borini A, Tallarini A, Maccolini A, et al. Perifollicular vascularity monitoring and scoring: a clinical tool for selecting the best oocyte. Eur J Obstet Gynecol Reprod Biol. 2004;115:102–5.

    Article  Google Scholar 

  41. Huyghe S, Verest A, Thijssen A, Ombelet W. The prognostic value of perifollicular blood flow in the outcome after assisted reproduction: a systematic review. Facts Views Vis Obgyn. 2017;9(3):153–6.. Review

    CAS  PubMed  Google Scholar 

  42. Firouzabadi RD, Sekhavat L, Javedani M. The effect of ovarian cyst aspiration on IVF treatment with GnRH. Arch Gynecol Obstet. 2010 Mar;281(3):545–9.

    Article  PubMed  Google Scholar 

  43. Okaro E, Condous G, Khalid A, Timmerman D, Ameye L, Van Huffel S, et al. The use of ultrasound-based ‘soft markers’ for the prediction of pelvic pathology in women with chronic pelvic pain, can we reduce the need for laparoscopy? BJOG. 2006;113:251–6.

    Article  CAS  PubMed  Google Scholar 

  44. Raine-Fenning N, Jayaprakasan K, Deb S. Three-dimensional ultrasonographic characteristics of endometriomata. Ultrasound Obstet Gynecol. 2008;31:718–24.

    Article  CAS  PubMed  Google Scholar 

  45. Asch E, Levine D. Variations in appearance of endometriomas. J Ultrasound Med. 2007;26:993–1002.

    Article  PubMed  Google Scholar 

  46. Kumfer MC, Schwimer SR, Lebovic J. Transvaginal sonographic appearance of endometriomas: spectrum of findings. J Ultrasound Med. 1992;11:129–33.

    Article  Google Scholar 

  47. Somigliana E, Vercellini P, Viganó P, Ragni G, Crosignani PG. Should endometriomas be treated before IVF-ICSI cycles? Hum Reprod Update. 2006;12:57–64.

    Article  PubMed  Google Scholar 

  48. Liu Z, Yang F, Zhang Y, Yu H, Zhu H, Yang R, Fan L. Conventional, Doppler and contrast-enhanced ultrasonography in differential diagnosis of ovarian masses. Cell Physiol Biochem. 2016;39(6):2398–408.

    Article  CAS  PubMed  Google Scholar 

  49. Balen A, Michelmore K. What is polycystic ovary syndrome? Are national views important? Hum Reprod. 2002;17:2219–27.

    Article  PubMed  Google Scholar 

  50. Polson DW, Adams J, Wadsworth J, Franks S. Polycystic ovaries--a common finding in normal women. Lancet. 1988;1:870–2.

    Article  CAS  PubMed  Google Scholar 

  51. Alborzi S, Khodaee R, Parsanejad ME. Ovarian size and response to laparoscopic ovarian electro-cauterization in polycystic ovarian disease. Int J Gynaecol Obstet. 2001;74:269–74.

    Article  CAS  PubMed  Google Scholar 

  52. Amer SA, Li TC, Bygrave C, Sprigg A, Saravelos H, Cooke ID. An evaluation of the inter-observer and intra-observer variability of the ultrasound diagnosis of polycystic ovaries. Hum Reprod. 2002;17:1616–22; Jacobs HS. Polycystic ovaries and polycystic ovary syndrome. Gynecol Endocrinol 1987;1:113–31. Review.

    Article  CAS  PubMed  Google Scholar 

  53. Kousta E, White DM, Cela E, McCarthy MI, Franks S. The prevalence of polycystic ovaries in women with infertility. Hum Reprod. 1999;14:2720–3.

    Article  CAS  PubMed  Google Scholar 

  54. Dewailly D, Gronier H, Poncelet E, Robin G, Leroy M, Pigny P, et al. Diagnosis of polycystic ovary syndrome (PCOS): revisiting the threshold values of follicle count on ultrasound and of the serum AMH level for the definition of polycystic ovaries. Hum Reprod. 2011;26(11):3123–9. https://doi.org/10.1093/humrep/der297.. Epub 16 Sep 2011

    Article  CAS  PubMed  Google Scholar 

  55. Dewailly D, Lujan ME, Carmina E, Cedars MI, Laven J, Norman RJ, et al. Definition and significance of polycystic ovarian morphology: a task force report from the Androgen Excess and Polycystic Ovary Syndrome Society. Hum Reprod Update. 2013;20(3):334–52. https://doi.org/10.1093/humupd/dmt061.

    Article  CAS  PubMed  Google Scholar 

  56. Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril. 2004;81:19–25.

    Google Scholar 

  57. Allemand MC, Tummon IS, Phy JL, Foong SC, Dumesic DA, Session DR. Diagnosis of polycystic ovaries by three-dimensional transvaginal ultrasound. Fertil Steril. 2006;85:214–9.

    Article  PubMed  Google Scholar 

  58. He LR, Zhou LX, Pan RK, Zhang X. Clinical significance of counting follicles in diagnosis of polycystic ovary syndrome by the three-dimensional ultrasound imaging with sonography based automated volume calculation method. Zhonghua Fu Chan Ke Za Zhi. 2011;46:350–4.

    PubMed  Google Scholar 

  59. Goodman NF, Cobin RH, Futterweit W, Glueck JS, Legro RS, Carmina E, American Association of Clinical Endocrinologists (AACE); American College of Endocrinology (ACE); Androgen Excess and PCOS Society (AES). American Association of Clinical Endocrinologists, American College of Endocrinology, and Androgen Excess and PCOS Society Disease State Clinical Review: guide to the best practices in the evaluation and treatment of polycystic ovary syndrome--part 1. Endocr Pract. 2015 Nov;21(11):1291–300.

    Article  PubMed  Google Scholar 

  60. Lam PM, Johnson IR, Raine-Fenning NJ. Three-dimensional ultrasound features of the polycystic ovary and the effect of different phenotypic expressions on these parameters. Hum Reprod. 2007;22(12):3116–23. https://doi.org/10.1093/humrep/dem218.

    Article  PubMed  Google Scholar 

  61. Lam P, Raine-Fenning N, Cheung L, Haines C. Three-dimensional ultrasound features of the polycystic ovary in Chinese women. Ultrasound Obstet Gynecol. 2009;34(2):196–200. https://doi.org/10.1002/uog.6442.

    Article  CAS  PubMed  Google Scholar 

  62. Sun L, Fu Q. Three-dimensional transrectal ultrasonography in adolescent patients with polycystic ovarian syndrome. Int J Gynecol Obstet. 2007;98(1):34–8. https://doi.org/10.1016/j.ijgo.2007.02.024.

    Article  Google Scholar 

  63. Pascual MA, Graupera B, Hereter L, Tresserra F, Rodriguez I, Alcázar JL. Assessment of ovarian vascularization in the polycystic ovary by three-dimensional power Doppler ultrasonography. Gynecol Endocrinol. 2008;24(11):631–6. https://doi.org/10.1080/09513590802308099.

    Article  PubMed  Google Scholar 

  64. Battaglia C, Battaglia B, Morotti E, Paradisi R, Zanetti I, Meriggiola MC, et al. Two- and three-dimensional sonographic and color Doppler techniques for diagnosis of polycystic ovary syndrome. J Ultrasound Med. 2012;31(7):1015–24. https://doi.org/10.7863/jum.2012.31.7.1015.

    Article  PubMed  Google Scholar 

  65. Peres Fagundes PA, Chapon R, Olsen PR, Schuster AK, Mattia MM, Cunha-Filho JS. Evaluation of three-dimensional SonoAVC ultrasound for antral follicle count in infertile women: Its agreement with conventional two-dimensional ultrasound and serum levels of anti-Müllerian hormone. Reprod Biol Endocrinol. 2017;15(1):1–7.

    Google Scholar 

  66. Järvelä IY, Mason HD, Sladkevicius P, Kelly S, Ojha K, Campbell S, et al. Characterization of normal and polycystic ovaries using three-dimensional power Doppler ultrasonography. J Assist Reprod Genet. 2002;19:582–90.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Pan HA, Wu MH, Cheng YC, Li CH, Chang FM. Quantification of Doppler signal in polycystic ovary syndrome using three-dimensional power Doppler ultrasonography: a possible new marker for diagnosis. Hum Reprod. 2002;17:201–6.

    Article  PubMed  Google Scholar 

  68. Jokubkiene L, Sladkevicius P, Valentin L. Number of antral follicles, ovarian volume, and vascular indices in asymptomatic women 20 to 39 years old as assessed by 3-Dimensional sonography. J Ultrasound Med. 2012;31(10):1635–49. https://doi.org/10.7863/jum.2012.31.10.1635.

    Article  PubMed  Google Scholar 

  69. Scheffer GJ, Broekmans FJ, Bancsi LF, Habbema JD, Looman CW, Te Velde ER. Quantitative transvaginal two- and three-dimensional sonography of the ovaries: reproducibility of antral follicle counts. Ultrasound Obstet Gynecol. 2002;20:270–5.

    Article  CAS  PubMed  Google Scholar 

  70. Raine-Fenning N, Jayaprakasan K, Chamberlain S, Devlin L, Priddle H, Johnson I, et al. Automated measurements of follicle diameter: a chance to standardize? Fertil Steril. 2009;91:1469–72.

    Article  PubMed  Google Scholar 

  71. Raine-Fenning N, Jayaprakasan K, Deb S, Clewes J, Joergner I, Dehghani Bonaki S, Johnson I. Automated follicle tracking improves measurement reliability in patients undergoing ovarian stimulation. Reprod Biomed Online. 2009;18(5):658–63.

    Article  CAS  PubMed  Google Scholar 

  72. Nylander M, Frøssing S, Bjerre AH, Chabanova E, Clausen HV, Faber J, et al. 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. 2017 Aug;58(8):997–1004.

    Article  PubMed  Google Scholar 

  73. Scheffer GJ, Broekmans FJ, Dorland M, Habbema JD, Looman CW, Velde ER. Antral follicle counts by transvaginal ultrasonography are related to age in women with proven natural fertility. Fertil Steril. 1999;72(5):845–51.

    Article  CAS  PubMed  Google Scholar 

  74. Baerwald AR, Adams GP, Pierson RA. A new model for ovarian follicular development during the human menstrual cycle. Fertil Steril. 2003;80(1):116–22. https://doi.org/10.1016/s0015-0282(03)00544-2.

    Article  PubMed  Google Scholar 

  75. Jokubkiene L, Sladkevicius P, Valentin L. Number of antral follicles, ovarian volume, and vascular indices in asymptomatic women 20 to 39 years old as assessed by 3-Dimensional sonography: A prospective cross-sectional study. J Ultrasound Med. 2012;31(10):1635–49. https://doi.org/10.7863/jum.2012.31.10.1635.

    Article  PubMed  Google Scholar 

  76. Alserri A, Kuriya A, Holzer H, Tulandi T. Lateralization of ovarian follicles. Gynecol Obstet Investig. 2014;77(2):117–20. https://doi.org/10.1159/000358395.

    Article  Google Scholar 

  77. Köninger A, Koch L, Edimiris P, Nießen S, Kasimir-Bauer S, Kimmig R, et al. Intraindividual right–left comparison of sonographic features in polycystic ovary syndrome (PCOS) diagnosis. Eur J Obstet Gynecol Reproduct Biol. 2014;181:124–9.

    Article  Google Scholar 

  78. Korsholm AS, Hvidman HW, Bentzen JG, Nyboe Andersen A, Birch PK. Left-right differences in ovarian volume and antral follicle count in 1423 women of reproductive age. Gynecol Endocrinol. 2017;33(4):320–3. https://doi.org/10.1080/09513590.2016.1259406.

    Article  PubMed  Google Scholar 

  79. Deb S, Kannamannadiar J, Campbell BK, Clewes JS, Raine-Fenning NJ. The interovarian variation in three-dimensional ultrasound markers of ovarian reserve in women undergoing baseline investigation for subfertility. Fertil Steril. 2011;95(2):667–72.

    Article  PubMed  Google Scholar 

  80. Deutch TD, Joergner I, Matson DO, Oehninger S, Bocca S, Hoenigmann D, et al. Automated assessment of ovarian follicles using a novel three-dimensional ultrasound software. Fertil Steril. 2009 Nov;92(5):1562–8.

    Article  PubMed  Google Scholar 

  81. Raine-Fenning N, Deb S, Jayaprakasan K, Clewes J, Hopkisson J, Campbell B. Timing of oocyte maturation and egg collection during controlled ovarian stimulation: a randomized controlled trial evaluating manual and automated measurements of follicle diameter. Fertil Steril. 2010;94:184–8.

    Article  PubMed  Google Scholar 

  82. Ben-Haroush A, Farhi J, Zahalka Y, Sapir O, Meizner I, Fisch B. Small antral follicle count (2-5 mm) and ovarian volume for prediction of pregnancy in in vitro fertilization cycles. Gynecol Endocrinol. 2012:28(6)432–5.

    Google Scholar 

  83. Deb S, Jayaprakasan K, Campbell BK, Clewes JS, Johnson IR, Raine-Fenning NJ. Intraobserver and interobserver reliability of automated antral follicle counts made using three-dimensional ultrasound and SonoAVC. Ultrasound Obstet Gynecol. 2009;33:477–83.

    Article  CAS  PubMed  Google Scholar 

  84. Deb S, Campbell BK, Clewes JS, Raine-Fenning NJ. Quantitative analysis of antral follicle number and size: a comparison of two-dimensional and automated three-dimensional ultrasound techniques. Ultrasound Obstet Gynecol. 2010;35:354–60.

    Article  CAS  PubMed  Google Scholar 

  85. Jayaprakasan K, Campbell BK, Clewes JS, Johnson IR, Raine-Fenning NJ. Three-dimensional ultrasound improves the interobserver reliability of antral follicle counts and facilitates increased clinical work flow. Ultrasound Obstet Gynecol. 2008;31:439–44.

    Article  CAS  PubMed  Google Scholar 

  86. Forman RG, Robinson J, Yudkin P, Egan D, Reynolds K, Barlow DH. What is the true follicular diameter: an assessment of the reproducibility of transvaginal ultrasound monitoring in stimulated cycles. Fertil Steril. 1991;56:89–92.

    Article  Google Scholar 

  87. Loren AW, Mangu PB, Beck LN, Brennan L, Magdalinski AJ, Partridge A, et al. Fertility preservation for patients with cancer: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol. 2013;31(19):2500–10. https://doi.org/10.1200/jco.2013.49.2678.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Practice Committee of American Society for Reproductive Medicine. Fertility preservation in patients undergoing gonadotoxic therapy or gonadectomy: a committee opinion. Fertil Steril. 2013;100(5):1214–23.

    Article  Google Scholar 

  89. Sonigo C, Simon C, Boubaya M, Benoit A, Sifer C, Sermondade N, et al. What threshold values of antral follicle count and serum AMH levels should be considered for oocyte cryopreservation after in vitro maturation? Hum Reprod. 2016;31(7):1493–500.

    Article  CAS  PubMed  Google Scholar 

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Stadtmauer, L.A., Tran, M., Kovac, A., Tur-Kaspa, I. (2019). Ultrasound and Ovarian Reserve. In: Stadtmauer, L., Tur-Kaspa, I. (eds) Ultrasound Imaging in Reproductive Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-16699-1_5

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