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An ultrasonographic morphological index for prediction of ovarian tumor malignancy

  • D. Szpurek1,*,
  • R. Moszynski1
  • W. Zietkowiak1
  • M. Spaczynski2
  • S. Sajdak1

1Division of Gynecological Surgery, Poland

2Division of Gynecological Oncology, Department of Gynecology and Obstetrics, Karol Marcinkowski University of Medical Sciences, Poznan, Poland

DOI: 10.12892/ejgo20050151 Vol.26,Issue 1,January 2005 pp.51-54

Published: 10 January 2005

*Corresponding Author(s): D. Szpurek E-mail:

Abstract

Purpose of investigation: A newly created ultrasonographic scale called the Poznan index as well as scales already well known (introduced by Sassone, De Priest and Lerner) were compared in our group of patients.

Method: A morphological index was based on seven sonographic ovarian tumor features. Examinations on 686 patients were evaluated. Comparison of prognostic values of the Poznan index with other applied morphological indices in our group of patients was based on the area under receiver operating characteristic (ROC) curves.

Results: The cut-off level of the new index is 8 points. The new morphological index has a specificity of 77.0%, and negative and positive predictive values of 90.7% and 69.1%, respectively. It has a sensitivity of 86.7% and accuracy of 80.6%. The Poznan index proved its usefulness and superiority (AU ROC = 0.89).

Conclusion: Using this morphological index it is possible to make a precise prognosis of ovarian tumor malignancy. It also makes it possible to make the right decision concerning the manner of surgical treatment.

Keywords

Cancer; Diagnostics; Morphological index; Ovarian tumor; Ultrasonography

Cite and Share

D. Szpurek,R. Moszynski,W. Zietkowiak,M. Spaczynski,S. Sajdak. An ultrasonographic morphological index for prediction of ovarian tumor malignancy. European Journal of Gynaecological Oncology. 2005. 26(1);51-54.

References

[1] Benacerraf B.R., Finkler NJ., Wojciechowski C., Knapp R.C "Sonographic accuracy in the diagnosis of ovarian masses". J. Reprod. Med., 1990, 35, 491.

[2] Zarcone R., Bellini P., Carfora E., Monarca M., Longo M., Cardone A.: "Role of ultrasonography in the early diagnosis of ovarian cancer". Eur. J. Gynaecol. Oneal., 1997, 18, 418.

[3] Hanley J.A., McNeil B.: "A method of comparing of the areas under the receiver operating characteristic curve derived from the same cases". Radiology, 1983, 148, 839.

[4] Caruso A., Caforio L., Testa A.C., Ciampelli M., Panici P.B., Mancuso S.: "Transvaginal color Doppler ultrasonography in the presurgical characterization of adnexal masses". Gynecol. Oncol., 1996, 63, 184.

[5] DePriest P.D., Shenson D., Fried A., Hunter J.E., Andrews S.J., Gallion H.H. et al.: "A morphology index based on sonographic findings in ovarian cancer". Gynecol. Oncol., 1993, 51, 7.

[6] Sassone A.M., Timor-Tritsch I.E., Artner A., Westhoff C., Warren W.B.: "Transvaginal sonographic characterization of ovarian disease: evaluation of a new scoring system to predict ovarian malignancy". Obstet. Gynecol., 1991, 78, 70.

[7] Lerner J.P., Timor-Tritsch I.E., Federman A., Abramovich G "Transvaginal ultrasonographic characterization of ovarian masses with an improved, weighted scoring system". Am. J. Obstet. Gynecol., 1994, 170, 81.

[8] Valentin L., Hagen B., Tingulstad S., Eik-Nes S.: "Comparison of 'pattern recognition'and logistic regression models for discrimination between benign and malignant pelvic masses: A prospective cross validation". Ultrasound Obstet. Gynecol., 2001, 18, 357.

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