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Federación Mexicana de Ginecología y Obstetricia, A.C.

2005, Number 11

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Ginecol Obstet Mex 2005; 73 (11)

Risk factors associated to ovarian cancer

Romero GG, Naves SJ, Horna LA, Aspe LCJ, Molina RR, Ponce PDAL

Language: Spanish
References: 19
Page: 611-617
PDF size: 61.36 Kb.


ABSTRACT

Objective: To determine the risk factors associated to ovarian cancer.
Patients and methods: A case-control study was carried out including 31 women with ovarian cancer and 69 patients with benign ovarian tumors corroborated with a histopathological study. We analyzed 26 independent variables, which classification was clinic, sociodemographic and ultrasonographic. The dependent variable was ovarian cancer, and it was assigned a value of 1 if it was present and 0 if it was absent. The statistical analysis was done using a logistic regression analysis, with an alpha value of 0.05.
Results: The malignant tumor of epithelial cells was the most common histological variety and was seen in 22 cases (71%). There were 24 cases (77.4%) in clinical stage I at the time of the diagnosis. Out of the 26 studied variables late menarche (p=0.02), multiparity (p=0.02), loss of weight (p=0.04), solid tumor (p=0.02), mixed tumor (p=0.02) and irregularities of the tumor (p=0.03) were significant in the applied model.
Conclusions: The sociodemographic variables associated to ovarian cancer were: late menarche and multiparity; the clinical significant variable was loss of weight; and the ultrasonographic variables were solid tumor, mixed tumor and irregularities of the tumor. A population screening program is recommended in women who are in reproductive age, and it should include a gynecological ultrasonographic scanning in order to make an opportune diagnosis of this pathology.


REFERENCES

  1. Herbst AL. The epidemiology of ovarian carcinoma and the current status of tumor markers to detect disease. Am J Obstet Gynecol 1994;170:1099-107.

  2. Cohen CJ, Jennings TS. Screening for ovarian cancer: the role of noninvasive imaging techniques. Am J Obstet Gynecol 1994;170:1088-94.

  3. Schapira MM, Matchar DB, Young MJ. The effectiveness of ovarian cancer screening: a decision analysis model. Ann Intern Med 1993;118:838-43.

  4. Lacey JV, Mink P, Lubin JH, et al. Menopausal hormonal replacement therapy and risk of ovarian cancer. JAMA 2002;288:334-41.

  5. Guidozzi F. Screening for ovarian cancer. Obstet Gynecol Surv 1996;51:696-701.

  6. Biagiotti R, Desii C, Vanzi E, Gacci G. Predicting ovarian malignancy: application of artificial neural networks to transvaginal and color Doppler flow US. Radiology 1999;210:399-403.

  7. Rehen M, Lohmann K, Rempen A. Transvaginal ultrasonography of pelvic masses: evaluation of B-mode technique and Doppler ultrasonography. Am J Obstet Gynecol 1996;175:97-104.

  8. Timor-Tritsch IE, Lerner JP, Monteagudo A, Santos R. Transvaginal ultrasonographic characterization of ovarian masses by means of color flow-directed Doppler measurements and a morphologic scoring system. Am J Obstet Gynecol 1993;168:909-13.

  9. Luna LG. Manual of histologic staining methods. 3th ed. New York: McGraw-Hill, 1966;pp:32-39.

  10. Scully RE. Tumors of the ovary and maldeveloped gonads. Atlas of tumor pathology. 3rd series. Washington, DC.

  11. Altman DG. Practical statistics for medical research. London: Chapman Hall, 1991;pp:351.

  12. Carlson KJ, Skates SJ, Singer DE. Screening for ovarian cancer. Ann Intern Med 1994;121:124-32.

  13. Timmerman D, Bourne T, Talor A, et al. A comparison of methods for preoperative discrimination between malignant and benign adnexal masses: The development of a new logistic regression model. Am J Obstet Gynecol 1999;181:57-65.

  14. Salazar-Martínez E, Lazcano-Ponce EC, González-Lira G, et al. Reproductive factors of ovarian and endometrial cancer risk in a high fertility population in Mexico. Cancer Res 1999;59:3658-62.

  15. Tiedemann D. Ovarian cancer. RN 2000;63:36-42.

  16. Tung KH, Wilkens LR, Wu AH, et al. Effect of anovulation factors on pre and postmenopausal ovarian cancer risk: revisiting the incessant ovulation hypothesis. Am J Epidemiol 2005;161:321-9.

  17. Minaretzis D, Tsionou C, Tziortziotis D, Michalas S, Aravantinos D. Ovarian tumors: prediction of the probability of malignancy by using patient’s age and tumor morphologic features with a logistic model. Obstet Gynecol Surv 1995;50:287-9.

  18. Shy K, Dubinsky T. Is color Doppler ultrasound useful in diagnosing ovarian cancer? Clin Obstet Gynecol 1999;42:902-20.

  19. Howard JW. Prospective evaluation of three different models for the preoperative diagnosis of ovarian cancer. Obstet Gynecol Surv 2001;56:274-5.




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