الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Gynecological malignancies are an important cause of cancer-related mortality. One of the major prognostic factors is nodal involvement in gynecological carcinomas because it is associate with poor outcome and exert influence on treatment modalities.
The gold standard for evaluation is surgical LN dissection.
Imaging modalities for LN evaluation in gynecologic malignancies that are the most used are CT and MRI. They are based on morphologic criteria to distinguish benign from malignant lymph nodes.
US can help to differentiate between normal, reactive (immunological state but still benign) and metastatic LN. It has been considered as an alternative to the usual imaging tools and it has been demonstrated that it can predict as well the metastasis in LN of gynecological cancers.
Our study aimed to evaluate US accuracy in detection of LN affection in gynecologic cancer patients in comparison to the standard studies using CT or MRI and histopathology. We conducted a prospective study in the oncology unit of the Shatby Maternity University Hospital, Obstetrics and Gynecology Department of the Faculty of Medicine, Alexandria University, on 146 patients.
The sensitivity and specificity of US were 65.22% and 85.22%, respectively; the PPV was 46.88 % and the NPV was 92.45% and the accuracy of 81.88%. compared to those of CT/MRI which were 82.61% and 80.87%, respectively; the PPV was 46.34% and the NPV was 95.88% and the accuracy of 81.16%.
The Kolmogorov-Smirnov test was used to verify the normality of distribution Quantitative data were described using range (minimum and maximum), mean, standard deviation, median and interquartile range (IQR). Significance of the obtained results was judged at the 5% level.
The used tests were:
1- Chi-square test for categorical variables, to compare between different groups.
2- Fisher’s Exact Correction for chi-square when more than 20% of the cells have expected count less than 5.