Malignant Ovarian Tumors Diagnostics Difficulties

Никогосян, С. О.; Загаштоков, А. З.; Левченко, Н. Е.; Тхакохов, М. М.

doi:10.17650/1994-4098-2018-14-2-82-89

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…Доброкачественные образования вместе с «пограничными» составляют примерно 80%, злокачественные -20% от диагностируемых очаговых образований яичников [7,8]. Каждая из представленных групп имеет соответствующие ультразвуковые (УЗ) признаки, которые определяют морфологическую структуру, степень выраженности пролиферативных процессов, а также метастатическое поражение различных органов и систем [9][10][11]. Ранняя диагностика РЯ требует разработки новых подходов и диагностических шкал прогноза с учетом эхоструктуры и выраженности пролиферативных процессов в очаговом образовании [12].…”

Section: Introductionunclassified

“…Широкое внедрение ультразвуковых исследований (УЗИ) в медицинскую практику позволило значительно улучшить распознавание патологий репродуктивной системы женщины [11] Ретроспективно обследована 81 пациентка репродуктивного возраста от 18 до 45 лет. В зависимости от гистологической структуры образования яичника, результатов хирургического лечения, динамического наблюдения и исхода заболевания исследуемую популяцию разделили на четыре клинические группы: I (n = 12; 14,8%) -пациентки контрольной группы с отсутствием изменений в структуре яичников; II (n = 20; 24,7%)с ретенционными образованиями яичников; III (n = 20; 24,7%) -с доброкачественными опухолями; IV (n = 29; 35,8%) -со злокачественными новообразованиями.…”

Section: Introductionunclassified

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Multiparametric ultrasound in the diagnosis of ovarian focal lesions

Поморцев

Амброс²,

Дьяченко

et al. 2021

Innovacionnaâ medicina Kubani

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Objective Development of an ultrasound diagnostic matrix for predicting the severity of proliferative changes in the ovarian focal lesion.Material and Methods The research was conducted on the basis of the Clinical Oncology Center, Regional Clinical Hospital no. 2. Echography (B-mode), color Doppler mapping, energy Doppler mapping (pulsation index, resistance index) on GE Voluson E8 and Aloka SSD 3500 devices were used as research methods. Retrospectively, 81 patients of reproductive age from 18 to 45 years were examined. Depending on the histological structure of ovarian lesion, the results of surgical treatment, dynamic observation and the outcome of the disease, were divided into 4 clinical groups: I (n = 12; 14,8%) – controls with no changes in the structure of the ovaries; II (n = 20; 24,7%) – patients with retention ovarian lesions; III (n = 20; 24,7%) – with benign tumors; IV (n = 29; 35,8%) – with malignant tumors.Results A large number of diagnostic parameters does not always allow to formulate an instrumental diagnosis correctly because they have different diagnostic significance. That is why we made an attempt to create a diagnostic matrix. For each of the 18 parameters, three answers were offered. When analyzing the results of the study, there was an increase in the number of pathological parameters from II to IV clinical groups. Thus, in group III, the combination of 2 pathological signs was found in 65% of cases, and 3 signs – in 25% of the examined women. In group IV, the combination of 2 signs was determined in 82% of the subjects, and 3 signs in 65%.Conclusion Thus, we found out that in-depth ultrasound examination (color Doppler imaging, pulsed Doppler) allowed to identify the severity of the proliferative changes and to give the prognosis of the disease.

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Section: Introductionunclassified

Multiparametric ultrasound in the diagnosis of ovarian focal lesions

Поморцев

Амброс²,

Дьяченко

et al. 2021

Innovacionnaâ medicina Kubani

View full text Add to dashboard Cite

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A new algorithm to assess the risk of malignancy in premenopausal patients with pelvic mass

Katsyuba

Хасанов

Madzhidov

et al. 2022

Opuholi ženskoj reproduktivnoj sistemy

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Objective: to elaborate a new algorithm, based on serum CA125, HE4 and age, to assess the risk of malignancy in premenopausal patients with pelvic mass, which performs better than Risk of Ovarian Malignancy Algorithm (ROMA).Materials and methods. The training dataset included 284 premenopausal patients operated because of the presence of pelvic mass, out of which there were 249 patients with benign diseases and 35 patients with malignant or borderline tumors. A novel algorithm, based on serum HE4, CA125 and patient’s age as variables, has been developed. This algorithm was named Risk of Ovarian Cancer Kazan Index (ROCK-I). The validating dataset consisted of 227 consecutively operated premenopausal patients with pelvic mass out of which there were 193 cases of benign diseases, 27 cancers and 7 borderline ovarian tumors (BOT).Results. In the validating dataset ROCK-I and ROMA demonstrated 15 and 30 false positive results respectively. Thus the specificities of ROCK-I and ROMA were 92.2 % and 84.5 %, respectively (р = 0.017). The sensitivities of ROCK-I and ROMA for the joint group of Epithelial ovarian cancers (EOC) (all stages) together with BOT stage IC2–III were 96.3 % and 92.6 %, respectively (p = 0.55). For all malignant disease (all stages) together with BOT stage IC2–III the sensitivities were 90 % and 86.7 %, respectively (p = 0.69). The positive predictive values of ROCK-I and ROMA were 65.1 % and 47.4 %, respectively (p = 0.07). When the scenario of discrimination “benign disease vs the joint group of EOC (all stages) together with BOT stage IC2–III” was used, ROC-AUC of ROCK-I, ROMA and CA125 were 0.988, 0.946 and 0.937. The difference in ROC-AUC between ROCK-I and CA125 was statistically significant (p = 0.01) while the difference between ROMA and CA125 was not (p = 0.79).Conclusion. The proposed ROCK-I has demonstrated greater diagnostic performance than both ROMA and CA125 in the analyzed dataset. If an independent validation shows similar or even slightly lower superiority of ROCK-I over ROMA, it may provide a new basis of routine-use of HE4 in premenopausal patients with pelvic mass.

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The structure of disability due to malignant neoplasms of the reproductive system in terms of severity in the comparative aspect of the medical and social characteristics of women with disabilities

Idrisova,

Suleymanov,

Shurgaya

et al. 2023

Medical and Social Expert Evaluation and Rehabilitation

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BACKGROUND: Malignant neoplasms, while continuing to occupy the leading position among the causes of disability worldwide, are a medical and social problem in the Russian Federation. Malignant neoplasms of the reproductive system are the leading cause of morbidity among women. Persistent impairment of body functions caused by malignant neoplasms often leads to capacity limitations, necessitating social protection (disability). Additionally, the epidemiology of malignant neoplasms has reviled manifestation of regional features. OBJECTIVE: The study aimed to analyze the indicators characterizing medical and social aspects of disability resulting from gynecological malignant neoplasms in different cohorts of women with disability in the Chechen Republic. MATERIALS AND METHODS: Units of observation: contingents of people with disability due to cervical, uterine, and ovarian cancers among the adult population of the Chechen Republic. The analysis was carried out after the distribution of the participants into first, second, and third disability groups, considering severity of the disability. The study period: 2014–2020. Research methods: documentary, data copying, and statistical analysis. RESULTS: For the structure of disability due to cervical and uterine cancer, there was an increase in the number of people with disability in the third group. In contrast, in the contingent of people with disability due to ovarian cancer, there was a negative trend in the increase in the number of people with disability in the second group (p 0.0001). Elderly and middle age people with disability predominated in terms of physical labor. The main type of dysfunction observe was of the blood and immune system. Mobility impairments of the second and third degree were more common in the cohorts of patients with disability due to cervical cancer. The inability to conduct second degree self-care was common in ovarian cancer and of the third degree self-care in uterine cancer. The proportion of people with second degree of disability was practically the same in the cohorts of people with disability. In contrast, the extensive indicator of third degree disability was higher in the cohort of people with disability due to cervical cancer. CONCLUSION: The results of the study made it possible to define medical and social characteristic of people with disability due to malignant neoplasms of the reproductive system in the Chechen Republic. This scientific and practical database of persistent health disorders of the female population with a distribution based on the severity of disabling oncopathology, when used within the framework of the regional aspect of health protection, will allow the development of rational and effective diagnosis, treatment, and rehabilitation measures, which will contribute to the medical and social prevention of disability.

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Malignant Ovarian Tumors Diagnostics Difficulties

Cited by 6 publications

References 29 publications

Multiparametric ultrasound in the diagnosis of ovarian focal lesions

Multiparametric ultrasound in the diagnosis of ovarian focal lesions

A new algorithm to assess the risk of malignancy in premenopausal patients with pelvic mass

The structure of disability due to malignant neoplasms of the reproductive system in terms of severity in the comparative aspect of the medical and social characteristics of women with disabilities

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