DIFFERENTIAL DIAGNOSIS OF BENIGN, BORDERLINE, AND MALIGNANT OVARIAN MASSES IN PREGNANT WOMEN, BY USING LOGISTIC REGRESSION MODELS
- Авторлар: GERASIMOVA A.A1, SHVYREV S.L2, STEPANOV K.I2, GUS A.I3, KLIMENKO P.A2
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Мекемелер:
- Center for Family Planning and Reproduction, Moscow Healthcare Department
- Russian State Medical University, Russian Agency for Health Care
- Academician V.I. Kulakov Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health and Social Development of Russia
- Шығарылым: № 2 (2012)
- Беттер: 50-56
- Бөлім: Articles
- URL: https://journals.eco-vector.com/0300-9092/article/view/246693
- ID: 246693
Дәйексөз келтіру
Ашық рұқсат
Рұқсат берілді
Аннотация
Objective. To enhance the accuracy of differential diagnosis of benign, borderline, and malignant ovarian tumors in pregnant women, by building a logistic regression model. Material and methods. Regression logistic models were built to demonstrate that one can differentiate true tumors from tumor-like masses and benign neoplasms from malignant ones in 223 pregnant women on the basis of ultrasound signs of ovarian tumor-like masses and tumors. Results. While diagnosing benign ovarian tumors in pregnant women, the sensitivity and specificity of the model were 97 and 95%, respectively. While diagnosing borderline and malignant tumors, the sensitivity of the model was 100% and its specificity was 92.3% with a total accuracy of 92.8%. Conclusion. The performed studies have demonstrated that the authors’ regression logistic models can help a practitioner make timely a differential diagnosis of ovarian tumors in pregnant women, thus using their rational treatment policy.
Толық мәтін
Авторлар туралы
A. GERASIMOVA
Center for Family Planning and Reproduction, Moscow Healthcare DepartmentMoscow
S. SHVYREV
Russian State Medical University, Russian Agency for Health CareMoscow
K. STEPANOV
Russian State Medical University, Russian Agency for Health CareMoscow
A. GUS
Academician V.I. Kulakov Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health and Social Development of RussiaMoscow
P. KLIMENKO
Russian State Medical University, Russian Agency for Health CareMoscow
Әдебиет тізімі
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