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1180 Correlation of serum HE-4 and roma score with clinical, histological and radiological features in ovarian tumors
  1. PP Roshnara,
  2. Smita Tripathi,
  3. Pikee Saxena and
  4. Rajeev Goyal
  1. Lady Hardinge Medical College, New Delhi, India


Introduction/Background Ovarian cancer is the eighth most common type of cancer in women around the world and a major cause of cancer-related deaths in women. This disease affects about 10% of females worldwide. Because there isn’t a clear sign for ovarian cancer, detection has been delayed, and mortality rates have been less than ideal. Researchers have already written about how the serum HE-4 protein and the ROMA algorithm can be used as biomarkers to help diagnose and predict cancer. However, there aren’t many studies that have been done on the Indian community.

Methodology A cross-sectional observational analytical study was conducted with 71 study participants. From fasting pre-operative blood samples, HE-4 and serum CA-125 were both analyzed by ELISA and CLIA, respectively. ROMA algorithm was calculated form Serum CA-125 and serum HE-4. Ultrasonography was done using iU22 ultrasound system (2–5 MHz probe).

Results Serum HE-4 shows high diagnostic accuracy (84.5%) in the prediction of malignancy with 100% sensitivity and 81.4% specificity, whereas the ROMA score had a lower specificity of 79.7%. Serum HE-4 also showed a significant association with malignant features of ovarian tumors on trans-abdominal ultrasonography (p<0.05) and histological subtypes of benign and malignant tumors (χ2 = 23.122, p = 0.001).

Conclusion The use of serum HE-4 as a biomarker for the diagnosis of malignancy in ovarian tumors has been observed to exhibit a high degree of sensitivity and specificity. There is evidence that serum CA-125 can lower the specificity of analysis when it comes to the Risk of Ovarian Malignancy Algorithm (ROMA) score.

Disclosures None

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