4.3 Article

Value of the risk of ovarian malignancy algorithm index in predicting the recurrence of epithelial ovarian cancer

Journal

BIOMARKERS IN MEDICINE
Volume 16, Issue 14, Pages 1055-1066

Publisher

FUTURE MEDICINE LTD
DOI: 10.2217/bmm-2022-0287

Keywords

CA125; epithelial ovarian cancer; FIGO; HE4; recurrence; ROMA index

Funding

  1. Ningxia Key Research and Development Program [2019BFG02002]

Ask authors/readers for more resources

This study assessed the predictive and diagnostic value of the ROMA index for EOC recurrence. The results showed that the ROMA index was strongly associated with clinical characteristics and had a significant association with recurrence-free survival above the cutoff value. The ROMA index had a higher sensitivity than CA125 and HE4 for recurrence diagnosis.
Aim: This study aimed to assess the predictive and diagnostic value of the risk of ovarian malignancy algorithm (ROMA) index for epithelial ovarian cancer (EOC) recurrence. Materials & methods: The clinical features and follow-up data of 159 EOC cases were studied. The ROMA index was calculated by serum CA125 and HE4 levels with menopausal status. Recurrence-free survival was evaluated for an end point. Results: The ROMA was strongly associated with clinical characteristics. The ROMA index above the cutoff value (34.71%) was significantly associated with recurrence-free survival. The ROMA index had a significantly higher sensitivity (90.59%) than CA125 (84.71%) and HE4 (80.80%) for recurrence diagnosis, and its optimal cutoff value was 17.07%. Conclusion: The primary ROMA index is a predictive factor in EOC recurrence and has better performance in the diagnosis of EOC recurrence.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available