Morphofunctional characteristics of ovaries determined by 2D and 3D power Doppler sonography in different clinical forms of premature ovarian failure


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Abstract

Aim. To investigate the hormonal profile and morphofunctional status of the ovaries in women with different clinical forms of premature ovarian failure (POF) and evaluate diagnostic value of new ovarian reserve (OR) markers using 2D and 3D power Doppler sonography. Materials and methods. Baseline evaluation included medical history and clinical assessment. Laboratory testing consisted of measurements of FSH and AMG levels by ELISA. 3D pelvic ultrasound was used to measure antral follicle count (AFC) and intraovarian blood flow, including calculation of vascularization index (VI) and blood flow index (FI). Results. Patients with the initial (biochemical) form of POF had statistically significantly higher FSH and lowered AMH levels than patients with the occult and complete POF forms. Patients with different forms of POF had statistically significantly lower values of all three 3D ultrasound parameters (VI, FI, and AFC) than control subjects. There was a sharp decrease in AFC, VI, and FI in patients with occult POF, suggesting that these characteristics may be promising for early diagnosis of the disease. Conclusion. A comprehensive morphofunctional assessment of ovaries, based on hormonal indicators (AMH and FSH) and ovarian reserve parameters (ovarian volume, AFC, and vascularization and blood flow indexes), determined by three-dimensional ultrasound and Doppler studies may provide a more accurate diagnosis of early forms of POF and, first of all, its occult form.

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About the authors

Roza I. Mashaeva

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: mashaevarosa@gmail.com
Ph.D. Student at the Department of Gynecologic Endocrinology

Larisa A. Marchenko

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: l.a.marchenko@yandex.ru
Dr.Med.Sci., Professor, Leading Researcher at the Department of Gynecologic Endocrinology

Sophia P. Olympieva

N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia

Email: vkilikov@yandex.ru
Ph.D. (Bio. Sci.), Senior Lecturer, Department of Medical Cybernetics and Informatics, Faculty of Medicine and Biology

Alexander I. Gus

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: a_gus@oparina4.ru
Dr.Med.Sci., Head of the Department of Ultrasound and Functional Diagnostics

Kirill V. Kostyukov

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: kostyukov_k@yahoo.com
M.D., Ph.D., Senior Researcher at the Department of Fetal Medicine, Institute of Obstetrics, Physician at the Unit of Functional and Ultrasound Diagnostics, Department of Diagnostic Imaging

Galina E. Chernukha

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: g_chernukha@oparina4.ru
Dr. Med. Sci., Professor

References

  1. Webber L, Davies M., Anderson R., Dartlett J., Braat D., Cartwright B. et al.; European Society for Human Reproduction and Embryology (ESHRE) Guideline Group on POI. ESHRE Guideline: management of women with premature ovarian insufficiency. Hum. Reprod. 2016; 31(5): 926-37. https:// dx.doi.org/10.1093/humrep/dew027.
  2. Mishra G.D., Chung H.F, Cano A., Chedraui P., Goulis D.G., Lopes P. et al. EMAS position statement: predictors of premature and early natural menopause. Maturitas. 2019; 123: 82-8. https://dx.doi.org/10.1016/j.maturitas.2019.03.008.
  3. Golezar S., Ramezani Tehrani F., Khazaei S., Ebadi A., Keshavarz Z. The global prevalence of primary ovarian insufficiency and early menopause: a meta-analysis. Climacteric. 2019; 22(4): 403-11. https://dx.doi.org/10.1080/ 13697137.2019.1574738.
  4. Cameron I.T., O’Shea F.C., Rolland J.M., Hughes E.G., de Kretser D.M., Healy D.L. Occult ovarian failure: a syndrome of infertility, regular menses, and elevated follicle-stimulating hormone concentrations. J. Clin. Endocrinol. Metab. 1988; 67(6): 1190-4. https://dx.doi.org/10.1210/jcem-67-6-1190.
  5. Welt C.K. Primary ovarian insufficiency: a more accurate term for premature ovarian failure. Clin. Endocrinol. (Oxf). 2008; 68(4): 499-509. https://dx.doi. org/10.1111/j.1365-2265.2007.03073.x.
  6. Марченко Л.А., Машаева Р.И. Клинико-лабораторные критерии оккультной формы преждевременной недостаточности яичников. Гинекология. 2018; 20(6): 73-6. [Marchenko L.A., Mashaeva R.I. Clinical and laboratory criteria for occult forms of premature ovarian insufficiency. Gynecology. 2018; 20 (6): 73-6. (in Russian)].
  7. Coelho Neto M.A., Ludwin A., Borrell A., Benacerraf B., Dewailly D., da Silva Costa F. et al. Counting ovarian antral follicles by ultrasound: a practical guide. Ultrasound Obstet. Gynecol. 2018; 51(1): 10-20. https://dx.doi.org/10.1002/ uog.18945.
  8. Hansen K., Massey J., Craig L. Antral follicle counts obtained by transvaginal ultrasound and histological examination are correlated with ovarian nongrowing follicle number. Fertil. Steril. 2007; 88(1); S79-S80. https://dx.doi. org/10.1016/j.fertnstert.2007.07.266.
  9. Younis J.S., Ben-Ami M., Ben-Shlomo I. The Bologna criteria for poor ovarian response: a contemporary critical appraisal. J. Ovarian Res. 2015; 8: 76. https:// dx.doi.org/10.1186/s13048-015-0204-9.
  10. De Vet A., Laven J.S.E., de Jong F.H., Themmen A.P.N., Fauser B.C.J.M. Antimullerian hormone serum levels: a putative marker for ovarian aging. Fertil. Steril. 2002; 77(2): 357-62. https://dx.doi.org/10.1016/ s0015-0282(01)02993-4.
  11. Tal R., Seifer D.B. Ovarian reserve testing: a user’s guide. Am. J. Obstet. Gynecol. 2017; 217(2): 129-40. https://dx.doi.org/10.1016/j.ajog.2017.02.027.
  12. La Marca A., Sighinolfi G., Radi D., Argento C., Baraldi E., Artenisio A.C. et al. Anti-Mullerian hormone (AMH) as a predictive marker in assisted reproductive technology (ART). Hum. Reprod. Update. 2010; 16(2): 113-30. https://dx.doi. org/10.1093/humupd/dmp036.
  13. Barbakadze L., Kristesashvili J., Khonelidze N., Tsagareishvili G. The correlations of anti-mullerian hormone, follicle-stimulating hormone and antral follicle count in different age groups of infertile women. Int. J. Fertil. Steril. 2015; 8(4): 393-8. https://dx.doi.org/10.22074/ijfs.2015.4179.
  14. Fleming R., Seifer D.B., Frattarelli J.L., Ruman J. Assessing ovarian response: antral follicle count versus anti-Mullerian hormone. Reprod. Biomed. Online. 2015; 31(4): 486-96. https://dx.doi.org/10.1016/j.rbmo.2015.06.015.
  15. Peres Fagundes P.A., Chapon R., Olsen P.R., Schuster A.K., Mattia M.M. C., Cunha-Filho J.S. Evaluation of three-dimensional SonoAVC ultrasound for antral follicle count in infertile women: its agreement with conventional twodimensional ultrasound and serum levels of anti-Mullerian hormone. Reprod. Biol. Endocrinol. 2017; 15(1): 96. https://dx.doi.org/10.1186/s12958-017-0314-x.
  16. Izhar R., Husain S., Tahir S., Husain S. Occult form of premature ovarian insufficiency in women with infertility and oligomenorrhea as assessed by poor ovarian response criteria. J. Reprod. Infertil. 2017; 18(4): 361-7.
  17. Kawamura K., Kawamura N., Hsueh A.J.W. Activation of dormant follicles: a new treatment for premature ovarian failure? Curr. Opin. Obstet. Gynecol. 2016; 28(3): 217-22. https://dx.doi.org/10.1097/GCO.0000000000000268.
  18. Gleicher N., Barad D.H. Dehydroepiandrosterone (DHEA) supplementation in diminished ovarian reserve (DOR). Reprod. Biol. Endocrinol. 2011; 9: 67. https://dx.doi.org/10.1186/1477-7827-9-67.
  19. Bishop L.A., Richter K.S., Patounakis G., Andriani L., Moon K., Devine K. Diminished ovarian reserve as measured by means of baseline follicle-stimulating hormone and antral follicle count is not associated with pregnancy loss in younger in vitro fertilization patients. Fertil. Steril. 2017; 108(6): 980-7. https:// dx.doi.org/ 10.1016/j.fertnstert.2017.09.011.
  20. 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; 92(6): 1862-9. https://dx.doi.org/10.1016/j.fertnstert.2008.09.031.
  21. Harlow S.D., Gass M., Hall J.E., Lobo R., Maki P., Rebar R.W. et al. Executive summary of the Stages of Reproductive Aging Workshop +10: addressing the unfinished agenda of staging reproductive aging. Menopause. 2012; 19(4): 38795. https://dx.doi.org/10.1097/gme.0b013e31824d8f40
  22. Venturella R., Lico D., Sarica A., Falbo M.P., Gulletta E., Morelli M. et al. OvAge: a new methodology to quantify ovarian reserve combining clinical, biochemical and 3D-ultrasonographic parameters. J. Ovarian Res. 2015; 8: 21. https://dx.doi. org/10.1186/s13048-015-0149-z.

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