卵巢恶性肿瘤风险算法指数在预测上皮性卵巢癌复发中的价值。
Value of the risk of ovarian malignancy algorithm index in predicting the recurrence of epithelial ovarian cancer.
作者信息
Li Ruyue, Ma Shaohan, Zu Yizheng, Wang Fang, Gao Tingting, Yang Yu'e, Guo Hua, Ha Chunfang
机构信息
School of Clinical Medicine, Ningxia Medical University, Yinchuan Ningxia, 750000, China.
People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, 750000, China.
出版信息
Biomark Med. 2022 Oct;16(14):1055-1066. doi: 10.2217/bmm-2022-0287. Epub 2022 Sep 5.
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. 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. 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%. The primary ROMA index is a predictive factor in EOC recurrence and has better performance in the diagnosis of EOC recurrence.
本研究旨在评估卵巢恶性肿瘤风险算法（ROMA）指数对上皮性卵巢癌（EOC）复发的预测和诊断价值。研究了159例EOC患者的临床特征和随访数据。ROMA指数通过血清CA125和HE4水平以及绝经状态计算得出。以无复发生存期作为评估终点。ROMA与临床特征密切相关。高于临界值（34.71%）的ROMA指数与无复发生存期显著相关。ROMA指数在复发诊断方面的敏感性（90.59%）显著高于CA125（84.71%）和HE4（80.80%），其最佳临界值为17.07%。原发性ROMA指数是EOC复发的一个预测因素，在EOC复发诊断中表现更佳。
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