Volume 10, Issue 4 (3-2019)                   2019, 10(4): 45-52 | Back to browse issues page

Ethics code: IR.QUMs.Rec.1395.221


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Samieerad F, Hemmatyar A, Barikani A. Evaluation of Clinico Ultra-Sonography and Pathological Findings of Ovarian Masses in Patients referred to Kosar Hospital, Qazvin. North Khorasan University of Medical Sciences 2019; 10 (4) :45-52
URL: http://journal.nkums.ac.ir/article-1-1662-en.html
1- Associate Professor of Pathology, Qazvin University of Medical Sciences, Qazvin, Iran , fsamieerad@gmail.com
2- General Physician, Qazvin University of Medical Sciences, Qazvin, Iran
3- Associate Professor of social medicine, Qazvin University of Medical Sciences, Qazvin, Iran
Abstract:   (3881 Views)
Introduction: Today, despite many optimal imaging methods for evaluation of ovarian mass, the survival rate of patient was not significantly changed. Object of present study was evaluation of Clinico Ultra- Sonography and pathological findings of ovarian masses in patients referred to Kosar Hospital.
Methods: In this analytic study, information of clinico Ultra-Sonography and pathological findings was obtained from the 874 women with ovarian mass reffered to the hospital in Kasar Hospital from 2007 to 2017 by checklist. Both descriptive and analytical statistical methods were used (P < 0.05).
Results: In this study, of the total ovarian masses, 4.5% or 39 were malignant, 70.6%, or 617 benign, 5.9%, or 52 borderline. The relationship between clinical findings and radiological findings is statistically significant. The relationship between clinical presentation and pathologic categorization of ovarian masses was significant.. The association between radiological findings and type of ovarian mass in terms of origin was statistically significant (P < 0.05).
Conclusions: The prediction of malignant potential of ovarian masses, while providing necessary measures and the extent of surgery, prevents unnecessary offensive action. Considering recent advances in imaging techniques, especially ultrasound, and its proper precision in distinguishing benign tumors from malignant, using this method to predict the type of pathology is necessary.
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Type of Study: Orginal Research | Subject: Clinical
Received: 2018/05/5 | Accepted: 2018/10/29 | Published: 2019/03/17

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