Ultrasound in in vitro fertilization programs

Evgeniya V. Kirakosyan

Digital Diagnostics ›› 2024, Vol. 5 ›› Issue (4) : 870 -881.

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Digital Diagnostics ›› 2024, Vol. 5 ›› Issue (4) : 870 -881. DOI: 10.17816/DD629721
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Ultrasound in in vitro fertilization programs

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Abstract

Currently, increasing attention is being paid to the value of ultrasound as an integral part of in vitro fertilization programs, which determines the relevance of the topic of this review. This review analyzes the main studies published in recent years and attempts to identify the leading method for assessing ovarian reserve and predicting in vitro fertilization outcome, which remains controversial. The paper evaluates advantages and limitations of two dimensional and three dimensional transvaginal ultrasound methods for counting ovarian follicles. Ultrasound characteristics of the endometrium and blood flow parameters in the uterine arteries are presented as possible predictors of the outcome of in vitro fertilization programs. The current options for transabdominal oocyte aspiration for in vitro fertilization programs are presented. The analysis of literature data concluded the high informational value of ultrasound for in vitro fertilization programs.

Keywords

ovarian reserve / number of ovarian follicles / transvaginal ultrasound / in vitro fertilization / assisted reproductive technologies

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Evgeniya V. Kirakosyan. Ultrasound in in vitro fertilization programs. Digital Diagnostics, 2024, 5(4): 870-881 DOI:10.17816/DD629721

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References

[1]

Li YW, Liang XW, Fang JH, Chen ZY. Application of ultrasound markers measured at different time points of COH cycle in the prediction of ovarian response for individualised ovulation induction. J Obstet Gynaecol. 2022;42(5):1467–1473. doi: 10.1080/01443615.2021.2004101

[2]

Li Y.W., Liang X.W., Fang J.H., Chen Z.Y. Application of ultrasound markers measured at different time points of COH cycle in the prediction of ovarian response for individualised ovulation induction // J Obstet Gynaecol. 2022. Vol. 42, N 5. P. 1467–1473. doi: 10.1080/01443615.2021.2004101

[3]

Ozerskaya IA. Manual on ultrasound diagnostics in obstetrics and gynecology: textbook. Moscow: MEDpress Inform; 2021. (In Russ.). EDN: RNUAOE doi: 10.24421/978-5-00030-860-8

[4]

Озерская И.А. Руководство по ультразвуковой диагностике в акушерстве и гинекологии: учебно-методическое пособие. Москва: МЕДпресс-информ, 2021. EDN: RNUAOE doi: 10.24421/978-5-00030-860-8

[5]

Coelho Neto MA, Ludwin A, Borrell A, et al. Counting ovarian antral follicles by ultrasound: a practical guide. Ultrasound Obstet Gynecol. 2018;51(1):10–20. doi: 10.1002/uog.18945

[6]

Coelho Neto M.A., Ludwin A., Borrell A., et al. Counting ovarian antral follicles by ultrasound: a practical guide // Ultrasound Obstet Gynecol. 2018. Vol. 51, N 1. P. 10–20. doi: 10.1002/uog.18945

[7]

Zhang Y, Xu Y, Xue Q, et al. Discordance between antral follicle counts and anti Müllerian hormone levels in women undergoing in vitro fertilization. Reprod Biol Endocrinol. 2019;17(1):51. doi: 10.1186/s12958-019-0497-4

[8]

Zhang Y., Xu Y., Xue Q., et al. Discordance between antral follicle counts and anti-Müllerian hormone levels in women undergoing in vitro fertilization // Reprod Biol Endocrinol. 2019. Vol. 17, N 1. ID 51. doi: 10.1186/s12958-019-0497-4

[9]

Wang X, Jin L, Mao YD, et al. Evaluation of Ovarian Reserve Tests and Age in the Prediction of Poor Ovarian Response to Controlled Ovarian Stimulation A Real World Data Analysis of 89,002 Patients. Front Endocrinol (Lausanne). 2021;12:702061. doi: 10.3389/fendo.2021.702061

[10]

Wang X., Jin L., Mao Y.D., et al. Evaluation of Ovarian Reserve Tests and Age in the Prediction of Poor Ovarian Response to Controlled Ovarian Stimulation A Real World Data Analysis of 89,002 Patients // Front Endocrinol (Lausanne). 2021. Vol. 12. ID 702061. doi: 10.3389/fendo.2021.702061

[11]

Arvis P, Rongières C, Pirrello O, Lehert P. Reliability of AMH and AFC measurements and their correlation: a large multicenter study. J Assist Reprod Genet. 2022;39(5):1045–1053. doi: 10.1007/s10815-022-02449-5

[12]

Arvis P., Rongières C., Pirrello O., Lehert P. Reliability of AMH and AFC measurements and their correlation: a large multicenter study // J Assist Reprod Genet. 2022. Vol. 39, N 5. P. 1045–1053. doi: 10.1007/s10815-022-02449-5

[13]

Liu Y, Pan Z, Wu Y, et al. Comparison of anti Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta analysis. J Ovarian Res. 2023;16(1):117. doi: 10.1186/s13048-023-01202-5

[14]

Liu Y., Pan Z., Wu Y., et al. Comparison of anti Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta analysis // J Ovarian Res. 2023. Vol. 16, N 1. ID 117. doi: 10.1186/s13048-023-01202-5

[15]

Jacobs MH, Reuter LM, Baker VL, et al. A multicentre evaluation of the Elecsys anti Müllerian hormone immunoassay for prediction of antral follicle count. Reprod Biomed Online. 2019;38(5):845–852. doi: 10.1016/j.rbmo.2018.12.041

[16]

Jacobs M.H., Reuter L.M., Baker V.L., et al. A multicentre evaluation of the Elecsys anti Müllerian hormone immunoassay for prediction of antral follicle count // Reprod Biomed Online. 2019. Vol. 38, N 5. P. 845–852. doi: 10.1016/j.rbmo.2018.12.041

[17]

Razafintsalama Bourdet M, Bah M, Amand G, et al. Random antral follicle count performed on any day of the menstrual cycle has the same predictive value as AMH for good ovarian response in IVF cycles. J Gynecol Obstet Hum Reprod. 2022;51(1):102233. doi: 10.1016/j.jogoh.2021.102233

[18]

Razafintsalama Bourdet M., Bah M., Amand G., et al. Random antral follicle count performed on any day of the menstrual cycle has the same predictive value as AMH for good ovarian response in IVF cycles // J Gynecol Obstet Hum Reprod. 2022. Vol. 51, N 1. ID 102233. doi: 10.1016/j.jogoh.2021.102233

[19]

Rombauts L, Onwude JL, Chew HW, Vollenhoven BJ. The predictive value of antral follicle count remains unchanged across the menstrual cycle. Fertil Steril. 2011;96(6):1514–1518. doi: 10.1016/j.fertnstert.2011.09.005

[20]

Rombauts L., Onwude J.L., Chew H.W., Vollenhoven B.J. The predictive value of antral follicle count remains unchanged across the menstrual cycle // Fertil Steril. 2011. Vol. 96, N 6. P. 1514–1518. doi: 10.1016/j.fertnstert.2011.09.005

[21]

Filippi F, Martinelli F, Paffoni A, et al. Fertility preservation in women with malignancies: the accuracy of antral follicle count collected randomly during the menstrual cycle in predicting the number of oocytes retrieved. J Assist Reprod Genet. 2019;36(3):569–578. doi: 10.1007/s10815-018-1377-0

[22]

Filippi F., Martinelli F., Paffoni A., et al. Fertility preservation in women with malignancies: the accuracy of antral follicle count collected randomly during the menstrual cycle in predicting the number of oocytes retrieved // J Assist Reprod Genet. 2019. Vol. 36, N 3. P. 569–578. doi: 10.1007/s10815-018-1377-0

[23]

Chen Q, Sun L, Huang J, et al. Three dimensional transvaginal ultrasonography in the evaluation of diminished ovarian reserve and premature ovarian failure. Pak J Med Sci. 2023;39(3):747–751. doi: 10.12669/pjms.39.3.7372

[24]

Chen Q., Sun L., Huang J., et al. Three dimensional transvaginal ultrasonography in the evaluation of diminished ovarian reserve and premature ovarian failure // Pak J Med Sci. 2023. Vol. 39, N 3. P. 747–751. doi: 10.12669/pjms.39.3.7372

[25]

Mathur P, Kakwani K, Diplav, et al. Deep Learning based Quantification of Ovary and Follicles using 3D Transvaginal Ultrasound in Assisted Reproduction. Annu Int Conf IEEE Eng Med Biol Soc. 2020;2020:2109–2112. doi: 10.1109/EMBC44109.2020.9176703

[26]

Mathur P., Kakwani K., Diplav, et al. Deep Learning based Quantification of Ovary and Follicles using 3D Transvaginal Ultrasound in Assisted Reproduction // Annu Int Conf IEEE Eng Med Biol Soc. 2020. Vol. 2020. P. 2109–2112. doi: 10.1109/EMBC44109.2020.9176703

[27]

Srivastava D, Gupta S, Kudavelly S, et al. Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:3209–3212. doi: 10.1109/EMBC46164.2021.9630495

[28]

Srivastava D., Gupta S., Kudavelly S., et al. Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction // Annu Int Conf IEEE Eng Med Biol Soc. 2021. Vol. 2021. P. 3209–3212. doi: 10.1109/EMBC46164.2021.9630495

[29]

Raine Fenning N, Jayaprakasan K, Deb S, et al. Automated follicle tracking improves measurement reliability in patients undergoing ovarian stimulation. Reprod Biomed Online. 2009;18(5):658–663. doi: 10.1016/s1472-6483(10)60010-7

[30]

Raine Fenning N., Jayaprakasan K., Deb S., et al. Automated follicle tracking improves measurement reliability in patients undergoing ovarian stimulation // Reprod Biomed Online. 2009. Vol. 18, N 5. P. 658–663. doi: 10.1016/s1472-6483(10)60010-7

[31]

Re C, Mignini Renzini M, Rodriguez A, et al. From a circle to a sphere: the ultrasound imaging of ovarian follicle with 2D and 3D technology. Gynecol Endocrinol. 2019;35(3):184–189. doi: 10.1080/09513590.2018.1522297

[32]

Re C., Mignini Renzini M., Rodriguez A., et al. From a circle to a sphere: the ultrasound imaging of ovarian follicle with 2D and 3D technology // Gynecol Endocrinol. 2019. Vol. 35, N 3. P. 184–189. doi: 10.1080/09513590.2018.1522297

[33]

Yang J, Gao J, Wang Y, et al. Impact of follicular size categories on oocyte quality at trigger day in young and advanced age patients undergoing GnRH-ant therapy. Front Endocrinol (Lausanne). 2023;14:1167395. doi: 10.3389/fendo.2023.1167395

[34]

Yang J., Gao J., Wang Y., et al. Impact of follicular size categories on oocyte quality at trigger day in young and advanced age patients undergoing GnRH ant therapy // Front Endocrinol (Lausanne). 2023. Vol. 14. ID 1167395. doi: 10.3389/fendo.2023.1167395

[35]

Abbara A, Patel A, Hunjan T, et al. FSH Requirements for Follicle Growth During Controlled Ovarian Stimulation. Front Endocrinol (Lausanne). 2019;10:579. doi: 10.3389/fendo.2019.00579

[36]

Abbara A., Patel A., Hunjan T., et al. FSH Requirements for Follicle Growth During Controlled Ovarian Stimulation // Front Endocrinol (Lausanne). 2019. Vol. 10. ID 579. doi: 10.3389/fendo.2019.00579

[37]

Shapiro BS, Rasouli MA, Verma K, et al. The effect of ovarian follicle size on oocyte and embryology outcomes. Fertil Steril. 2022;117(6):1170–1176. doi: 10.1016/j.fertnstert.2022.02.017

[38]

Shapiro B.S., Rasouli M.A., Verma K., et al. The effect of ovarian follicle size on oocyte and embryology outcomes // Fertil Steril. 2022. Vol. 117, N 6. P. 1170–1176. doi: 10.1016/j.fertnstert.2022.02.017

[39]

Liang X, Zeng F, Li H, et al. Deep Learning Based Two Dimensional Ultrasound for Follicle Monitoring in Infertility Patients. BIOI. 2023;4(3):125–131. doi: 10.15212/bioi-2022-0024

[40]

Liang X., Zeng F., Li H., et al. Deep Learning Based Two Dimensional Ultrasound for Follicle Monitoring in Infertility Patients // BIOI. 2023. Vol. 4, N 3. P. 125–131. doi: 10.15212/bioi-2022-0024

[41]

Liang X, Liang J, Zeng F, et al. Evaluation of oocyte maturity using artificial intelligence quantification of follicle volume biomarker by three dimensional ultrasound. Reprod Biomed Online. 2022;45(6):1197–1206. doi: 10.1016/j.rbmo.2022.07.012

[42]

Liang X., Liang J., Zeng F., et al. Evaluation of oocyte maturity using artificial intelligence quantification of follicle volume biomarker by three dimensional ultrasound // Reprod Biomed Online. 2022. Vol. 45, N 6. P. 1197–1206. doi: 10.1016/j.rbmo.2022.07.012

[43]

Devine K, Dolitsky S, Ludwin I, Ludwin A. Modern assessment of the uterine cavity and fallopian tubes in the era of high efficacy assisted reproductive technology. Fertil Steril. 2022;118(1):19–28. doi: 10.1016/j.fertnstert.2022.05.020

[44]

Devine K., Dolitsky S., Ludwin I., Ludwin A. Modern assessment of the uterine cavity and fallopian tubes in the era of high efficacy assisted reproductive technology // Fertil Steril. 2022. Vol. 118, N 1. P. 19–28. doi: 10.1016/j.fertnstert.2022.05.020

[45]

Kasius A, Smit JG, Torrance HL, et al. Endometrial thickness and pregnancy rates after IVF: a systematic review and meta analysis. Hum Reprod Update. 2014;20(4):530–541. doi: 10.1093/humupd/dmu011

[46]

Kasius A., Smit J.G., Torrance H.L., et al. Endometrial thickness and pregnancy rates after IVF: a systematic review and meta analysis // Hum Reprod Update. 2014. Vol. 20, N 4. P. 530–541. doi: 10.1093/humupd/dmu011

[47]

Zhang T, He Y, Wang Y, et al. The role of three dimensional power Doppler ultrasound parameters measured on hCG day in the prediction of pregnancy during in vitro fertilization treatment. Eur J Obstet Gynecol Reprod Biol. 2016;203:66–71. doi: 10.1016/j.ejogrb.2016.05.016

[48]

Zhang T., He Y., Wang Y., et al. The role of three dimensional power Doppler ultrasound parameters measured on hCG day in the prediction of pregnancy during in vitro fertilization treatment // Eur J Obstet Gynecol Reprod Biol. 2016. Vol. 203. P. 66–71. doi: 10.1016/j.ejogrb.2016.05.016

[49]

Wu J, Sheng J, Wu X, Wu Q. Ultrasound assessed endometrial receptivity measures for the prediction of in vitro fertilization embryo transfer clinical pregnancy outcomes: A meta analysis and systematic review. Exp Ther Med. 2023;26(3):453. doi: 10.3892/etm.2023.12152

[50]

Wu J., Sheng J., Wu X., Wu Q. Ultrasound assessed endometrial receptivity measures for the prediction of in vitro fertilization embryo transfer clinical pregnancy outcomes: A meta analysis and systematic review // Exp Ther Med. 2023. Vol. 26, N 3. ID 453. doi: 10.3892/etm.2023.12152

[51]

ESHRE Working Group on Ultrasound in ART; D’Angelo A, Panayotidis C, Amso N, et al. Recommendations for good practice in ultrasound: oocyte pick up. Hum Reprod Open. 2019;2019(4):hoz025. doi: 10.1093/hropen/hoz025

[52]

ESHRE Working Group on Ultrasound in ART; D’Angelo A., Panayotidis C., Amso N., et al. Recommendations for good practice in ultrasound: oocyte pick up // Hum Reprod Open. 2019. Vol. 2019, N 4. ID hoz025. doi: 10.1093/hropen/hoz025

[53]

Roman Rodriguez CF, Weissbrot E, Hsu CD, et al. Comparing transabdominal and transvaginal ultrasound guided follicular aspiration: A risk assessment formula. Taiwan J Obstet Gynecol. 2015;54(6):693–699. doi: 10.1016/j.tjog.2015.02.004

[54]

Roman Rodriguez C.F., Weissbrot E., Hsu C.D., et al. Comparing transabdominal and transvaginal ultrasound guided follicular aspiration: A risk assessment formula // Taiwan J Obstet Gynecol. 2015. Vol. 54, N 6. P. 693–699. doi: 10.1016/j.tjog.2015.02.004

[55]

Sönmezer M, Gülümser Ç, Sönmezer M, et al. Transabdominal ultrasound guided oocyte retrieval using vaginal ultrasound probe: Definition of the technique. J Obstet Gynaecol Res. 2021;47(2):800–806. doi: 10.1111/jog.14618

[56]

Sönmezer M., Gülümser Ç., Sönmezer M., et al. Transabdominal ultrasound guided oocyte retrieval using vaginal ultrasound probe: Definition of the technique // J Obstet Gynaecol Res. 2021. Vol. 47, N 2. P. 800–806. doi: 10.1111/jog.14618

[57]

Sönmezer M, Saçıntı KG, Gülümser Ç, et al. Transabdominal ultrasound guided oocyte retrieval for oocyte cryopreservation using a vaginal probe: a comparison of applicability, effectiveness, and safety with conventional transvaginal approach. J Assist Reprod Genet. 2023;40(2):399–405. doi: 10.1007/s10815-022-02705-8

[58]

Sönmezer M., Saçıntı K.G., Gülümser Ç., et al. Transabdominal ultrasound guided oocyte retrieval for oocyte cryopreservation using a vaginal probe: a comparison of applicability, effectiveness, and safety with conventional transvaginal approach // J Assist Reprod Genet. 2023. Vol. 40, N 2. P. 399–405. doi: 10.1007/s10815-022-02705-8

[59]

Raziel A, Vaknin Z, Schachter M, et al. Ultrasonographic guided percutaneous transabdominal puncture for oocyte retrieval in a rare patient with Rokitansky syndrome in an in vitro fertilization surrogacy program. Fertil Steril. 2006;86(6):1760–1763. doi: 10.1016/j.fertnstert.2006.05.039

[60]

Raziel A., Vaknin Z., Schachter M., et al. Ultrasonographic guided percutaneous transabdominal puncture for oocyte retrieval in a rare patient with Rokitansky syndrome in an in vitro fertilization surrogacy program // Fertil Steril. 2006. Vol. 86, N 6. P. 1760–1763. doi: 10.1016/j.fertnstert.2006.05.039

[61]

Barton SE, Politch JA, Benson CB, et al. Transabdominal follicular aspiration for oocyte retrieval in patients with ovaries inaccessible by transvaginal ultrasound. Fertil Steril. 2011;95(5):1773–1776. doi: 10.1016/j.fertnstert.2011.01.006

[62]

Barton S.E., Politch J.A., Benson C.B., et al. Transabdominal follicular aspiration for oocyte retrieval in patients with ovaries inaccessible by transvaginal ultrasound // Fertil Steril. 2011. Vol. 95, N 5. P. 1773–1776. doi: 10.1016/j.fertnstert.2011.01.006

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