PREDICTION OF GENITAL ENDOMETRIOSIS IN UKRAINIAN GIRLS DEPENDING ON THE FEATURES OF SONOGRAPHIC INDICATORS OF THE UTERUS AND OVARY

O. A. Nyzova, H. V. Chaika, Olena Ishchuk, Oksana Kucherenko, Valery Gunas
In: World of Medicine and Biology · 2025 · vol. 21(92) , pp. 125 · doi:10.26724/2079-8334-2025-2-92-125-130 · W4411894610
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Discriminant models were built based on uterine and ovarian sonographic features in Ukrainian girls to predict genital endometriosis, achieving high classification accuracy across different somatotypes.

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The paper studied how sonographic dimensions and features of the uterus and ovaries can be used to build discriminant prediction models for genital endometriosis in Ukrainian girls, examining performance separately by somatotype categories using discriminant analysis. The authors report that the models achieved high classification correctness without somatotype (98.8% of cases; Wilks’ Lambda 0.142, p<0.001) and similarly high coverage within somatotype groups (95.9–100%), with Wilks’ Lambda values remaining significant (p<0.001). A key limitation stated implicitly by the abstract is that the model construction depends on sonographic indicators and is evaluated within the specified Ukrainian pediatric population, with no broader validation described in the provided text. This paper is centrally about endometriosis — it develops sonography-based discriminant models to predict genital endometriosis in Ukrainian girls.

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Clinical medicine PREDICTION OF GENITAL ENDOMETRIOSIS IN UKRAINIAN GIRLS DEPENDING ON THE FEATURES OF SONOGRAPHIC INDICATORS OF THE UTERUS AND OVARY Published 2025-04-16 Authors: ON O.A. Nyzova HC H.V. Chaika OI O.H. Ishchuk OK O.S. Kucherenko IG I.V. Gunas - Abstract: - In Ukrainian girls without and with somatotype, based on the features of the sonographic dimensions of the uterus and ovaries, reliable discriminant models were constructed that allow predicting the possibility of genital endometriosis with high probability (without taking into account somatotype – the correctness of the classification matrix is 98.8% of cases, Wilks' Lambda statistics=0.142, p<0.001; in mesomorphs – the classification matrix covers 95.9 % of cases, Wilks' Lambda statistics=0.231, p<0.001; in ectomorphs – the classification matrix covers 100 % of cases, Wilks' Lambda statistics=0.049, p<0.001; in ecto-mesomorphs – the classification matrix covers 100 % of cases, Wilks' Lambda statistics=0.061, p<0.001). - Keywords: - obstetrics and gynecology genital endometriosis Ukrainian girls sonography uterus ovaries menstrual cycle somatotype discriminant analysis - References: - - Barra F, Scala C, Biscaldi E, Vellone VG, Ceccaroni M, Terrone C, et al. Ureteral endometriosis: a systematic review of epidemiology, pathogenesis, diagnosis, treatment, risk of malignant transformation and fertility. Human reproduction update. 2018 Nov 1;24(6):710-30. doi: 10.1093/humupd/dmy027. - Becker CM, Bokor A, Heikinheimo O, Horne A, Jansen F, Kiesel L, et al. ESHRE guideline: endometriosis. Human reproduction open. 2022;(2):hoac009. doi: 10.1093/hropen/hoac009. - Bougie O, Yap MI, Sikora L, Flaxman T, Singh S. Influence of race/ethnicity on prevalence and presentation of endometriosis: a systematic review and meta‐analysis. BJOG: An International Journal of Obstetrics & Gynaecology. 2019 Aug;126(9):1104-15. doi: 10.1111/1471-0528.15692. - Carter JL, Heath BH. Somatotyping – development and applications. Cambridge University Press, 1990. - Fuldeore MJ, Soliman AM. Prevalence and symptomatic burden of diagnosed endometriosis in the United States: national estimates from a cross-sectional survey of 59,411 women. Gynecologic and obstetric investigation. 2017 Nov 8;82(5):453-61. doi: 10.1159/000452660. - Ghiasi M, Kulkarni MT, Missmer SA. Is endometriosis more common and more severe than it was 30 years ago?. Journal of minimally invasive gynecology. 2020 Feb 1;27(2):452-61. doi: 10.1016/j.jmig.2019.11.018. - Harder C, Velho RV, Brandes I, Sehouli J, Mechsner S. Assessing the true prevalence of endometriosis: A narrative review of literature data. International Journal of Gynecology & Obstetrics. 2024 Dec;167(3):883-900. doi: 10.1002/ijgo.15756. - Jenabi E, Khazaei S, Veisani Y. The association between body mass index and the risk of endometriosis: a meta-analysis. Journal of Endometriosis and Pelvic Pain Disorders. 2019 Jun;11(2):55-61. doi: 10.1177/2284026519832814. - Khamdamova MT, Tukhtasinovna KM. Echographic features variability in the size and shape of the uterus and ovaries in women of the second period of adulthood using various contraceptives. Asian Journal of Multidimensional Research (AJMR). 2020;9(5):259-63. doi: 10.5958/2278-4853.2020.00128.7. - Koninckx PR, Ussia A, Adamyan L, Tahlak M, Keckstein J, Martin DC. The epidemiology of endometriosis is poorly known as the pathophysiology and diagnosis are unclear. Best Practice & Research Clinical Obstetrics & Gynaecology. 2021 Mar 1;71:14-26. doi: 10.1016/j.bpobgyn.2020.08.005. - Maggiore UL, Chiappa V, Ceccaroni M, Roviglione G, Savelli L, Ferrero S, et al. Epidemiology of infertility in women with endometriosis. Best Practice & Research Clinical Obstetrics & Gynaecology. 2024 Feb 1;92:102454. doi: 10.1016/j.bpobgyn.2023.102454. - Sánchez-Ferrer ML, De La Cruz-Sánchez E, Arense-Gonzalo JJ, Prieto-Sánchez MT, Bernabeu-González I, Carmona-Barnosi A, et al. Body Composition and Characterization of Skinfold Thicknesses from Polycystic Ovary Syndrome Phenotypes. A Preliminar Case-Control Study. International Journal of Environmental Research and Public Health. 2021 Mar 14;18(6):2977. doi: 10.3390/ijerph18062977. - Tzenios N, Chahine M, Tazanios M. Obesity and endometrial cancer: the role insulin resistance and adipokines. Special Journal of the Medical Academy and other Life Sciences. 2023 Feb 9;1(2). doi: 10.58676/sjmas.v1i2.12. - Wise MR, Jordan V, Lagas A, Showell M, Wong N, Lensen S, et al. Obesity and endometrial hyperplasia and cancer in premenopausal women: A systematic review. American journal of obstetrics and gynecology. 2016 Jun 1;214(6):689-e1. doi: 10.1016/j.ajog.2016.01.175. - Yen CF, Kim MR, Lee CL. Epidemiologic factors associated with endometriosis in East Asia. Gynecology and minimally invasive therapy. 2019 Jan 1;8(1):4-11. doi: 10.4103/GMIT.GMIT_83_18. - Publication: - «World of Medicine and Biology» Vol. 21 No. 92 (2025) , с. 125-130 УДК 618.1-037-084:616-055.23-053.7-071.2 How to Cite PREDICTION OF GENITAL ENDOMETRIOSIS IN UKRAINIAN GIRLS DEPENDING ON THE FEATURES OF SONOGRAPHIC INDICATORS OF THE UTERUS AND OVARY. (2025). World of Medicine and Biology, 21(92), 125-130. https://doi.org/10.26724/2079-8334-2025-2-92-125-130 Share

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