CHSJ

Curr Health Sci J, vol. 38, no. 1, 2012

Diagnosis Correlations in Ovarian Tumors

[Original Paper]

LORENA DIJMARESCU, CARMEN GHETA, FLORENTINA TANASE, COMANESCU A ,MAGDA MANOLEA, LILIANA NOVAC

Department of Obstetrics and-Gynecology, University of Medicine and Pharmacy, Craiova


Abstract:

Background. Alongside with understanding physiological phenomena that occur in the ovary, both during the menstrual cycle, and pathological processes, including the mechanisms of carcinogenesis ovarian, the ability to discriminate benign lesions from the malignant ones has acquired a new importance. Patients and method. Assessment of patients was based on a diagnostic algorithm - RMI, which included clinical examination, ultrasound examination (internal wall structure, formation wall thickness, presence of septa and echogenicity) and serological testing for CA125.After obtaining the results patients were classified in the benign / malignant groups. Correlations were then made with the results of histopathological examination.Results. The results of the MRI correlation with histopathology were also framed in three categories: overvaluation, undervaluation and diagnosis. We recorded a 0.2% rate of undervaluation (tumors that have proven to be malignant), 65% overvaluation (tumors that proved to be benign) and a 33.8% rate of correct diagnosis. Conclusions. The results of this study show that preoperative accurate diagnosis in ovarian tumors is difficult, which is uncorrelated with histo-pathological results. They failed to establish reproducible ultrasound features of these tumors, therefore the recommendation for histopathological examination for a suspected ovarian masses remains valid


Keywords: ovarian lession, diagnostic algorithm, overvaluation, overtreatment



Corresponding: Lorena Dijmarescu MD, PhD Student, University of Medicine and Pharmacy of Craiova, Str Petru Rares No 4, 200456, Craiova, Romania, e-mail: lorenadijmarescu@yahoo.com


DOI 10.12865/CHSJ.38.01.02 - Download PDF
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